default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDBennett A. Landman
Bennett Allan Landman
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[i120]Yanfan Zhu, Isaac Lyngaas, Muralikrishnan Gopalakrishnan Meena, Mary Ellen Koran, Bradley A. Malin
, Daniel Moyer, Shunxing Bao, Anuj J. Kapadia, Xiao Wang, Bennett A. Landman, Yuankai Huo:
Scale-up Unlearnable Examples Learning with High-Performance Computing. CoRR abs/2501.06080 (2025)- [i119]Lianrui Zuo, Kaiwen Xu, Dingjie Su, Xin Yu, Aravind R. Krishnan, Yihao Liu, Shunxing Bao, Thomas Z. Li, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman:
Beyond the Lungs: Extending the Field of View in Chest CT with Latent Diffusion Models. CoRR abs/2501.13068 (2025) - [i118]Lianrui Zuo, Xin Yu, Dingjie Su, Kaiwen Xu, Aravind R. Krishnan, Yihao Liu, Shunxing Bao, Fabien Maldonado, Luigi Ferrucci, Bennett A. Landman:
Robust Body Composition Analysis by Generating 3D CT Volumes from Limited 2D Slices. CoRR abs/2501.13071 (2025) - [i117]Tianyuan Yao, Zhiyuan Li, Praitayini Kanakaraj, Derek B. Archer, Kurt Schilling, Lori L. Beason-Held, Susan M. Resnick, Bennett A. Landman, Yuankai Huo:
Polyhedra Encoding Transformers: Enhancing Diffusion MRI Analysis Beyond Voxel and Volumetric Embedding. CoRR abs/2501.13352 (2025) - [i116]Chongyu Qu, Ritchie Zhao, Ye Yu, Bin Liu, Tianyuan Yao, Junchao Zhu, Bennett A. Landman, Yucheng Tang, Yuankai Huo:
Post-Training Quantization for 3D Medical Image Segmentation: A Practical Study on Real Inference Engines. CoRR abs/2501.17343 (2025) - [i115]Chenyu Gao, Kaiwen Xu, Michael E. Kim, Lianrui Zuo, Zhiyuan Li, Derek B. Archer, Timothy J. Hohman, Ann Zenobia Moore, Luigi Ferrucci, Lori L. Beason-Held, Susan M. Resnick, Christos Davatzikos, Jerry L. Prince, Bennett A. Landman:
Pitfalls of defacing whole-head MRI: re-identification risk with diffusion models and compromised research potential. CoRR abs/2501.18834 (2025) - [i114]Aravind R. Krishnan, Yihao Liu, Kaiwen Xu, Michael E. Kim, Lucas W. Remedios, Gaurav Rudravaram, Adam M. Saunders, Bradley W. Richmond, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman, Lianrui Zuo:
Investigating the impact of kernel harmonization and deformable registration on inspiratory and expiratory chest CT images for people with COPD. CoRR abs/2502.05119 (2025) - [i113]Ruining Deng, Tianyuan Yao, Yucheng Tang, Junlin Guo, Siqi Lu, Juming Xiong, Lining Yu, Quan Huu Cap, Pengzhou Cai, Libin Lan, Ze Zhao, Adrian Galdran, Amit Kumar, Gunjan Deotale, Dev Kumar Das, Inyoung Paik, Joonho Lee, Geongyu Lee, Yujia Chen, Wangkai Li, Zhaoyang Li, Xuege Hou, Zeyuan Wu, Shengjin Wang, Maximilian Fischer, Lars Kramer, Anghong Du, Le Zhang, Maria Sanchez Sanchez, Helena Sanchez Ulloa, David Ribalta Heredia, Carlos Perez de Arenaza Garcia, Shuoyu Xu, Bingdou He, Xinping Cheng, Tao Wang, Noémie Moreau, Katarzyna Bozek, Shubham Innani, Ujjwal Baid, Kaura Solomon Kefas, Bennett A. Landman, Yu Wang, Shilin Zhao, Mengmeng Yin, Haichun Yang, Yuankai Huo:
KPIs 2024 Challenge: Advancing Glomerular Segmentation from Patch- to Slide-Level. CoRR abs/2502.07288 (2025) - 2024
- [j95]Ruining Deng, Can Cui, Lucas W. Remedios, Shunxing Bao, R. Michael Womick, Sophie Chiron, Jia Li, Joseph T. Roland, Ken S. Lau, Qi Liu, Keith T. Wilson, Yaohong Wang, Lori A. Coburn, Bennett A. Landman, Yuankai Huo:
Cross-scale multi-instance learning for pathological image diagnosis. Medical Image Anal. 94: 103124 (2024) - [j94]Praitayini Kanakaraj, Tianyuan Yao, Leon Y. Cai, Ho Hin Lee, Nancy R. Newlin, Michael E. Kim, Chenyu Gao, Kimberly R. Pechman, Derek B. Archer, Timothy J. Hohman, Angela L. Jefferson, Lori L. Beason-Held, Susan M. Resnick, Eleftherios Garyfallidis, Adam W. Anderson, Kurt G. Schilling, Bennett A. Landman, Daniel Moyer:
DeepN4: Learning N4ITK Bias Field Correction for T1-weighted Images. Neuroinformatics 22(2): 193-205 (2024) - [c178]Shunxing Bao, Junlin Guo, Ho Hin Lee, Ruining Deng, Can Cui, Lucas W. Remedios, Quan Liu, Qi Yang, Kaiwen Xu, Xin Yu, Jia Li, Yike Li, Joseph T. Roland, Qi Liu, Ken S. Lau, Keith T. Wilson, Lori A. Coburn, Bennett A. Landman, Yuankai Huo:
Mitigating Over-Saturated Fluorescence Images Through a Semi-Supervised Generative Adversarial Network. ISBI 2024: 1-5 - [c177]Jeya Maria Jose Valanarasu, Yucheng Tang, Dong Yang, Ziyue Xu, Can Zhao, Wenqi Li, Vishal M. Patel, Bennett Allan Landman, Daguang Xu, Yufan He, Vishwesh Nath:
Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training. MIDL 2024: 1553-1570 - [i112]Ho Hin Lee, Adam M. Saunders, Michael E. Kim, Samuel W. Remedios, Yucheng Tang, Qi Yang, Xin Yu, Shunxing Bao, Chloe Cho, Louise A. Mawn, Tonia S. Rex, Kevin L. Schey, Blake E. Dewey, Jeffrey M. Spraggins, Jerry L. Prince, Yuankai Huo, Bennett A. Landman:
Super-Resolution Multi-Contrast Unbiased Eye Atlases With Deep Probabilistic Refinement. CoRR abs/2401.03060 (2024) - [i111]Lucas W. Remedios, Shunxing Bao, Samuel W. Remedios, Ho Hin Lee, Leon Y. Cai, Thomas Z. Li, Ruining Deng, Can Cui, Jia Li, Qi Liu, Ken S. Lau, Joseph T. Roland, Mary K. Washington, Lori A. Coburn, Keith T. Wilson, Yuankai Huo, Bennett A. Landman:
Nucleus subtype classification using inter-modality learning. CoRR abs/2401.05602 (2024) - [i110]Ho Hin Lee, Yu Gu, Theodore Zhao, Yanbo Xu, Jianwei Yang, Naoto Usuyama, Cliff Wong, Mu Wei, Bennett A. Landman, Yuankai Huo, Alberto Santamaría-Pang, Hoifung Poon:
Foundation Models for Biomedical Image Segmentation: A Survey. CoRR abs/2401.07654 (2024) - [i109]Thomas A. Lasko, John M. Still, Thomas Z. Li, Marco Barbero Mota, William W. Stead, Eric V. Strobl, Bennett A. Landman, Fabien Maldonado:
Unsupervised Discovery of Clinical Disease Signatures Using Probabilistic Independence. CoRR abs/2402.05802 (2024) - [i108]Chenyu Gao, Shunxing Bao, Michael E. Kim, Nancy Newlin, Praitayini Kanakaraj, Tianyuan Yao, Gaurav Rudravaram, Yuankai Huo, Daniel Moyer, Kurt Schilling, Walter Kukull, Arthur W. Toga, Derek B. Archer, Timothy J. Hohman, Bennett A. Landman, Zhiyuan Li:
Field-of-View Extension for Diffusion MRI via Deep Generative Models. CoRR abs/2405.03652 (2024) - [i107]Xin Yu, Qi Yang, Han Liu, Ho Hin Lee, Yucheng Tang, Lucas W. Remedios, Michael E. Kim, Shunxing Bao, Ann Xenobia Moore, Luigi Ferrucci, Bennett A. Landman:
Enhancing Single-Slice Segmentation with 3D-to-2D Unpaired Scan Distillation. CoRR abs/2406.12254 (2024) - [i106]Lucas W. Remedios, Shunxing Bao, Samuel W. Remedios, Ho Hin Lee, Leon Y. Cai, Thomas Z. Li, Ruining Deng, Nancy R. Newlin, Adam M. Saunders, Can Cui, Jia Li, Qi Liu, Ken S. Lau, Joseph T. Roland, Mary K. Washington, Lori A. Coburn, Keith T. Wilson, Yuankai Huo, Bennett A. Landman:
Data-driven Nucleus Subclassification on Colon H&E using Style-transferred Digital Pathology. CoRR abs/2407.06116 (2024) - [i105]Michael E. Kim, Karthik Ramadass, Chenyu Gao, Praitayini Kanakaraj, Nancy R. Newlin, Gaurav Rudravaram, Kurt G. Schilling, Blake E. Dewey, Derek B. Archer, Timothy J. Hohman, Zhiyuan Li, Shunxing Bao, Bennett A. Landman, Nazirah Mohd Khairi:
Scalable, reproducible, and cost-effective processing of large-scale medical imaging datasets. CoRR abs/2408.14611 (2024) - [i104]Lucas W. Remedios, Han Liu, Samuel W. Remedios, Lianrui Zuo, Adam M. Saunders, Shunxing Bao, Yuankai Huo, Alvin C. Powers, John Virostko, Bennett A. Landman:
Influence of Early through Late Fusion on Pancreas Segmentation from Imperfectly Registered Multimodal MRI. CoRR abs/2409.04563 (2024) - [i103]Zhiyuan Li, Tianyuan Yao, Praitayini Kanakaraj, Chenyu Gao, Shunxing Bao, Lianrui Zuo, Michael E. Kim, Nancy R. Newlin, Gaurav Rudravaram, Nazirah Mohd Khairi, Yuankai Huo, Kurt G. Schilling, Walter Kukull, Arthur W. Toga, Derek B. Archer, Timothy J. Hohman, Bennett A. Landman:
Multi-Modality Conditioned Variational U-Net for Field-of-View Extension in Brain Diffusion MRI. CoRR abs/2409.13846 (2024) - [i102]Michael E. Kim, Chenyu Gao, Karthik Ramadass, Praitayini Kanakaraj, Nancy R. Newlin, Gaurav Rudravaram, Kurt G. Schilling, Blake E. Dewey, David A. Bennett, Sid OBryant, Robert C. Barber, Derek B. Archer, Timothy J. Hohman, Shunxing Bao, Zhiyuan Li, Bennett A. Landman, Nazirah Mohd Khairi, Alzheimer's Disease Neuroimaging Initiative, HABSHD Study Team:
Scalable quality control on processing of large diffusion-weighted and structural magnetic resonance imaging datasets. CoRR abs/2409.17286 (2024) - [i101]Chenyu Gao, Michael E. Kim, Karthik Ramadass, Praitayini Kanakaraj, Aravind R. Krishnan, Adam M. Saunders, Nancy R. Newlin, Ho Hin Lee, Qi Yang, Warren D. Taylor, Brian D. Boyd, Lori L. Beason-Held, Susan M. Resnick, Lisa L. Barnes, David A. Bennett, Katherine D. Van Schaik, Derek B. Archer, Timothy J. Hohman, Angela L. Jefferson, Ivana Isgum, Daniel Moyer, Yuankai Huo, Kurt G. Schilling, Lianrui Zuo, Shunxing Bao, Nazirah Mohd Khairi, Zhiyuan Li, Christos Davatzikos, Bennett A. Landman:
Brain age identification from diffusion MRI synergistically predicts neurodegenerative disease. CoRR abs/2410.22454 (2024) - [i100]Xinran Liu, Yikun Bai, Rocio Diaz Martin, Kaiwen Shi, Ashkan Shahbazi, Bennett A. Landman, Catie Chang, Soheil Kolouri:
Linear Spherical Sliced Optimal Transport: A Fast Metric for Comparing Spherical Data. CoRR abs/2411.06055 (2024) - [i99]Nancy R. Newlin, Kurt Schilling, Serge Koudoro, Bramsh Qamar Chandio, Praitayini Kanakaraj, Daniel Moyer, Claire E. Kelly, Sila Genc, Jian Chen, Joseph Yuan-Mou Yang, Ye Wu, Yifei He, Jiawei Zhang, Qingrun Zeng, Fan Zhang, Nagesh Adluru, Vishwesh Nath, Sudhir K. Pathak, Walter Schneider, Anurag Gade, Yogesh Rathi, Tom Hendriks, Anna Vilanova, Maxime Chamberland, Tomasz Pieciak, Dominika Ciupek, Antonio Tristán Vega, Santiago Aja-Fernández, Maciej Malawski, Gani Ouedraogo, Julia Machnio, Christian Ewert, Paul M. Thompson, Neda Jahanshad, Eleftherios Garyfallidis, Bennett A. Landman:
MICCAI-CDMRI 2023 QuantConn Challenge Findings on Achieving Robust Quantitative Connectivity through Harmonized Preprocessing of Diffusion MRI. CoRR abs/2411.09618 (2024) - 2023
- [j93]Yue Liu, Shunxing Bao, Dario J. Englot, Victoria L. Morgan, Warren D. Taylor, Ying Wei, Ipek Oguz, Bennett A. Landman, Ilwoo Lyu:
Hierarchical particle optimization for cortical shape correspondence in temporal lobe resection. Comput. Biol. Medicine 152: 106414 (2023) - [j92]Jun Li, Junyu Chen, Yucheng Tang, Ce Wang, Bennett A. Landman, S. Kevin Zhou:
Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives. Medical Image Anal. 85: 102762 (2023) - [j91]Kaiwen Xu, Thomas Z. Li, Mirza S. Khan, Riqiang Gao, Sanja L. Antic, Yuankai Huo, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman:
Body composition assessment with limited field-of-view computed tomography: A semantic image extension perspective. Medical Image Anal. 88: 102852 (2023) - [j90]Xin Yu, Qi Yang, Yinchi Zhou, Leon Y. Cai, Riqiang Gao, Ho Hin Lee, Thomas Z. Li, Shunxing Bao, Zhoubing Xu, Thomas A. Lasko, Richard G. Abramson, Zizhao Zhang, Yuankai Huo, Bennett A. Landman, Yucheng Tang:
UNesT: Local spatial representation learning with hierarchical transformer for efficient medical segmentation. Medical Image Anal. 90: 102939 (2023) - [j89]Kurt G. Schilling, Shreyas Fadnavis, Joshua Batson, Mereze Visagie, Anna J. E. Combes, Samantha By, Colin D. Mcknight, Francesca Bagnato, Eleftherios Garyfallidis, Bennett A. Landman, Seth A. Smith, Kristin P. O'Grady:
Denoising of diffusion MRI in the cervical spinal cord - effects of denoising strategy and acquisition on intra-cord contrast, signal modeling, and feature conspicuity. NeuroImage 266: 119826 (2023) - [j88]Gabriel Girard, Jonathan Rafael-Patino, Raphaël Truffet, Dogu Baran Aydogan, Nagesh Adluru, Veena A. Nair, Vivek Prabhakaran, Barbara B. Bendlin, Andrew L. Alexander, Sara Bosticardo, Ilaria Gabusi, Mario Ocampo-Pineda, Matteo Battocchio, Zuzana Piskorova, Pietro Bontempi, Simona Schiavi, Alessandro Daducci, Aleksandra Stafiej, Dominika Ciupek, Fabian Bogusz, Tomasz Pieciak, Matteo Frigo, Sara Sedlar, Samuel Deslauriers-Gauthier, Ivana Kojcic, Mauro Zucchelli, Hiba Laghrissi, Yang Ji, Rachid Deriche, Kurt G. Schilling, Bennett A. Landman, Alberto Cacciola, Gianpaolo Antonio Basile, Salvatore Bertino, Nancy Newlin, Praitayini Kanakaraj, Francois Rheault, Patryk Filipiak, Timothy M. Shepherd, Ying-Chia Lin, Dimitris G. Placantonakis, Fernando E. Boada, Steven H. Baete, Erick Hernandez-Gutierrez, Alonso Ramirez-Manzanares, Ricardo Coronado-Leija, Pablo Stack-Sánchez, Luis Concha, Maxime Descoteaux, Sina Mansour L, Caio Seguin, Andrew Zalesky, Kenji Marshall, Erick Jorge Canales-Rodríguez, Ye Wu, Sahar Ahmad, Pew-Thian Yap, Antoine Théberge, Florence Gagnon, Frédéric Massi, Elda Fischi Gomez, Remy Gardier, Juan Luis Villarreal-Haro, Marco Pizzolato, Emmanuel Caruyer, Jean-Philippe Thiran:
Tractography passes the test: Results from the diffusion-simulated connectivity (disco) challenge. NeuroImage 277: 120231 (2023) - [j87]Yurui Gao, Yu Zhao, Muwei Li, Richard D. Lawless, Kurt G. Schilling, Lyuan Xu, Andrea T. Shafer, Lori L. Beason-Held, Susan M. Resnick, Baxter P. Rogers, Zhaohua Ding, Adam W. Anderson, Bennett A. Landman, John C. Gore:
Functional alterations in bipartite network of white and grey matters during aging. NeuroImage 278: 120277 (2023) - [j86]Ho Hin Lee, Yucheng Tang, Qi Yang, Xin Yu, Leon Y. Cai, Lucas W. Remedios, Shunxing Bao, Bennett A. Landman, Yuankai Huo:
Semantic-Aware Contrastive Learning for Multi-Object Medical Image Segmentation. IEEE J. Biomed. Health Informatics 27(9): 4444-4453 (2023) - [j85]Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Pew-Thian Yap, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Jens Sjölund, Daniel Grzech, Huaqi Qiu, Zeju Li, Alexander Thorley, Jinming Duan, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Nikolas Lessmann, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich:
Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning. IEEE Trans. Medical Imaging 42(3): 697-712 (2023) - [c176]Jie Liu, Yixiao Zhang, Jieneng Chen, Junfei Xiao, Yongyi Lu, Bennett A. Landman, Yixuan Yuan, Alan L. Yuille, Yucheng Tang, Zongwei Zhou:
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection. ICCV 2023: 21095-21107 - [c175]Ho Hin Lee, Shunxing Bao, Yuankai Huo, Bennett A. Landman:
3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation. ICLR 2023 - [c174]Tianyuan Yao, Nancy Newlin, Praitayini Kanakaraj, Vishwesh Nath, Leon Y. Cai, Karthik Ramadass, Kurt Schilling, Bennett A. Landman, Yuankai Huo:
A Unified Learning Model for Estimating Fiber Orientation Distribution Functions on Heterogeneous Multi-shell Diffusion-Weighted MRI. CDMRI@MICCAI 2023: 13-22 - [c173]Can Cui, Yaohong Wang, Shunxing Bao, Yucheng Tang, Ruining Deng, Lucas W. Remedios, Zuhayr Asad, Joseph T. Roland, Ken S. Lau, Qi Liu, Lori A. Coburn, Keith T. Wilson, Bennett A. Landman, Yuankai Huo:
Feasibility of Universal Anomaly Detection Without Knowing the Abnormality in Medical Images. MILLanD@MICCAI 2023: 82-92 - [c172]Ho Hin Lee, Quan Liu, Shunxing Bao, Qi Yang, Xin Yu, Leon Y. Cai, Thomas Z. Li, Yuankai Huo, Xenofon D. Koutsoukos, Bennett A. Landman:
Scaling up 3D Kernels with Bayesian Frequency Re-parameterization for Medical Image Segmentation. MICCAI (4) 2023: 632-641 - [c171]Thomas Z. Li, John M. Still, Kaiwen Xu, Ho Hin Lee, Leon Y. Cai, Aravind R. Krishnan, Riqiang Gao, Mirza S. Khan, Sanja Antic, Michael N. Kammer, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman, Thomas A. Lasko:
Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures from Routine EHRs for Pulmonary Nodule Classification. MICCAI (2) 2023: 649-659 - [c170]Leon Yichen Cai, Ho Hin Lee, Nancy Rose Newlin, Cailey Irene Kerley, Praitayini Kanakaraj, Qi Yang, Graham Walter Johnson, Daniel Moyer, Kurt Gregory Schilling, Francois Rheault, Bennett A. Landman:
Convolutional-recurrent neural networks approximate diffusion tractography from T1-weighted MRI and associated anatomical context. MIDL 2023: 1124-1143 - [c169]Shunxing Bao, Ho Hin Lee, Qi Yang, Lucas Walker Remedios, Ruining Deng, Can Cui, Leon Yichen Cai, Kaiwen Xu, Xin Yu, Sophie Chiron, Yike Li, Nathan Heath Patterson, Yaohong Wang, Jia Li, Qi Liu, Ken S. Lau, Joseph T. Roland, Lori A. Coburn, Keith T. Wilson, Bennett A. Landman, Yuankai Huo:
Alleviating tiling effect by random walk sliding window in high-resolution histological whole slide image synthesis. MIDL 2023: 1406-1422 - [c168]Shunxing Bao, Can Cui, Jia Li, Yucheng Tang, Ho Hin Lee, Ruining Deng, Lucas W. Remedios, Xin Yu, Qi Yang, Sophie Chiron, Nathan Heath Patterson, Ken S. Lau, Qi Liu, Joseph T. Roland, Lori A. Coburn, Keith T. Wilson, Bennett A. Landman, Yuankai Huo:
Topological-preserving membrane skeleton segmentation in multiplex immunofluorescence imaging. Digital and Computational Pathology 2023 - [c167]Can Cui, Shunxing Bao, Jia Li, Ruining Deng, Lucas W. Remedios, Zuhayr Asad, Sophie Chiron, Ken S. Lau, Yaohong Wang, Lori A. Coburn, Keith T. Wilson, Joseph T. Roland, Bennett A. Landman, Qi Liu, Yuankai Huo:
Influence of cell-type ratio on spatially resolved single-cell transcriptomes using the Tangram algorithm: based on implementation on single-cell and MxIF data. Digital and Computational Pathology 2023 - [c166]Lucas W. Remedios, Shunxing Bao, Cailey I. Kerley, Leon Y. Cai, François Rheault, Ruining Deng, Can Cui, Sophie Chiron, Ken S. Lau, Joseph T. Roland, Mary K. Washington, Lori A. Coburn, Keith T. Wilson, Yuankai Huo, Bennett A. Landman:
Predicting Crohn's disease severity in the colon using mixed cell nucleus density from pseudo labels. Digital and Computational Pathology 2023 - [c165]Xin Yu, Yucheng Tang, Qi Yang, Ho Hin Lee, Riqiang Gao, Shunxing Bao, Ann Zenobia Moore, Luigi Ferrucci, Bennett A. Landman:
Longitudinal variability analysis on low-dose abdominal CT with deep learning-based segmentation. Image Processing 2023 - [c164]Lucie Dole, Kurt G. Schilling, Hakmook Kang, John C. Gore, Bennett A. Landman:
Harmonization of repetition time and scanner effects on estimates of brain hemodynamic response function. Image Processing 2023 - [c163]Yurui Gao, Dylan R. Lawless, Muwei Li, Yu Zhao, Kurt G. Schilling, Lyuan Xu, Andrea T. Shafer, Lori L. Beason-Held, Susan M. Resnick, Baxter P. Rogers, Zhaohua Ding, Adam W. Anderson, Bennett A. Landman, John C. Gore:
Automatic preprocessing pipeline for white matter functional analyses of large-scale databases. Image Processing 2023 - [c162]Praitayini Kanakaraj, Francois Rheault, Leon Y. Cai, Nancy Newlin, Fang-Cheng Yeh, Baxter P. Rogers, Kurt G. Schilling, Bennett A. Landman:
Mapping the impact of approximate gradient nonlinearity fields correction on tractography. Image Processing 2023 - [c161]Cailey I. Kerley, Leon Y. Cai, Yucheng Tang, Lori L. Beason-Held, Susan M. Resnick, Laurie E. Cutting, Bennett A. Landman:
Batch size go big or go home: counterintuitive improvement in medical autoencoders with smaller batch size. Image Processing 2023 - [c160]Bennett A. Landman:
Design and implementation of a real-time research data warehouse: lessons learned from Vanderbilt's ImageVU (Conference Presentation). Image Processing 2023 - [c159]Ho Hin Lee, Yucheng Tang, Shunxing Bao, Qi Yang, Xin Yu, Kevin L. Schey, Jeffrey M. Spraggins, Yuankai Huo, Bennett A. Landman:
Unsupervised registration refinement for generating unbiased eye atlas. Image Processing 2023 - [c158]Thomas Z. Li, Kaiwen Xu, Riqiang Gao, Yucheng Tang, Thomas A. Lasko, Fabien Maldonado, Kim L. Sandler, Bennett A. Landman:
Time-distance vision transformers in lung cancer diagnosis from longitudinal computed tomography. Image Processing 2023 - [c157]Nancy R. Newlin, Leon Y. Cai, Tianyuan Yao, Derek B. Archer, Kurt G. Schilling, Timothy J. Hohman, Kimberly R. Pechman, Angela L. Jefferson, Andrea T. Shafer, Susan M. Resnick, Bennett A. Landman:
Comparing voxel- and feature-wise harmonization of complex graph measures from multiple sites for structural brain network investigation of aging. Image Processing 2023 - [c156]Karthik Ramadass, Xin Yu, Leon Y. Cai, Yucheng Tang, Shunxing Bao, Cailey I. Kerley, Micah D'Archangel, Laura A. Barquero, Allen T. Newton, Isabel Gauthier, Rankin W. McGugin, Benoit M. Dawant, Laurie E. Cutting, Yuankai Huo, Bennett A. Landman:
Deep whole brain segmentation of 7T structural MRI. Image Processing 2023 - [c155]Kaiwen Xu, Mirza S. Khan, Thomas Z. Li, Riqiang Gao, Sanja L. Antic, Yuankai Huo, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman:
Stratification of lung cancer risk with thoracic imaging phenotypes. Image Processing 2023 - [c154]Tianyuan Yao, Francois Rheault, Leon Y. Cai, Vishwesh Nath, Zuhayr Asad, Nancy Newlin, Can Cui, Ruining Deng, Karthik Ramadass, Kurt Schilling, Bennett A. Landman, Yuankai Huo:
Deep constrained spherical deconvolution for robust harmonization. Image Processing 2023 - [c153]Tian Yu, Leon Y. Cai, Victoria L. Morgan, Sarah E. Goodale, Dario J. Englot, Catherine E. Chang, Bennett A. Landman, Kurt G. Schilling:
SynBOLD-DisCo: synthetic BOLD images for distortion correction of fMRI without additional calibration scans. Image Processing 2023 - [e11]M. Emre Celebi, Md Sirajus Salekin, Hyunwoo J. Kim, Shadi Albarqouni, Catarina Barata, Allan Halpern, Philipp Tschandl, Marc Combalia, Yuan Liu, Ghada Zamzmi, Joshua Levy, Huzefa Rangwala, Annika Reinke, Diya Wynn, Bennett A. Landman, Won-Ki Jeong, Yiqing Shen, Zhongying Deng, Spyridon Bakas, Xiaoxiao Li, Chen Qin, Nicola Rieke, Holger Roth, Daguang Xu:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops - ISIC 2023, Care-AI 2023, MedAGI 2023, DeCaF 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8-12, 2023, Proceedings. Lecture Notes in Computer Science 14393, Springer 2023, ISBN 978-3-031-47400-2 [contents] - [e10]Ipek Oguz, Jack H. Noble, Xiaoxiao Li, Martin Styner, Christian Baumgartner, Mirabela Rusu, Tobias Heimann, Despina Kontos, Bennett A. Landman, Benoit M. Dawant:
Medical Imaging with Deep Learning, MIDL 2023, 10-12 July 2023, Nashville, TN, USA. Proceedings of Machine Learning Research 227, PMLR 2023 [contents] - [i98]Jie Liu, Yixiao Zhang, Jieneng Chen, Junfei Xiao, Yongyi Lu, Bennett A. Landman, Yixuan Yuan, Alan L. Yuille, Yucheng Tang, Zongwei Zhou:
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection. CoRR abs/2301.00785 (2023) - [i97]Annika Reinke, Minu Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Carole H. Sudre, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew B. Blaschko, Florian Büttner, M. Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Ben Glocker, Patrick Godau, Robert Haase, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Jens Kleesiek, Florian Kofler, Thijs Kooi, Annette Kopp-Schneider, Michal Kozubek, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, Karel G. M. Moons, Henning Müller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M. Rafelski, Nasir M. Rajpoot, Mauricio Reyes, Michael A. Riegler, Nicola Rieke, Julio Saez-Rodriguez, Clara I. Sánchez, Shravya Shetty, Maarten van Smeden, Ronald M. Summers, Abdel A. Taha, Aleksei Tiulpin, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Manuel Wiesenfarth, Ziv R. Yaniv, Paul F. Jäger, Lena Maier-Hein:
Understanding metric-related pitfalls in image analysis validation. CoRR abs/2302.01790 (2023) - [i96]Ho Hin Lee, Quan Liu, Shunxing Bao, Qi Yang, Xin Yu, Leon Y. Cai, Thomas Z. Li, Yuankai Huo, Xenofon D. Koutsoukos, Bennett A. Landman:
Scaling Up 3D Kernels with Bayesian Frequency Re-parameterization for Medical Image Segmentation. CoRR abs/2303.05785 (2023) - [i95]Tianyuan Yao, Nancy Newlin, Praitayini Kanakaraj, Vishwesh Nath, Leon Y. Cai, Karthik Ramadass, Kurt Schilling, Bennett A. Landman, Yuankai Huo:
A Unified Single-stage Learning Model for Estimating Fiber Orientation Distribution Functions on Heterogeneous Multi-shell Diffusion-weighted MRI. CoRR abs/2303.16376 (2023) - [i94]Ruining Deng, Can Cui, Lucas W. Remedios, Shunxing Bao, R. Michael Womick, Sophie Chiron, Jia Li, Joseph T. Roland, Ken S. Lau, Qi Liu, Keith T. Wilson, Yaohong Wang, Lori A. Coburn, Bennett A. Landman, Yuankai Huo:
Cross-scale Multi-instance Learning for Pathological Image Diagnosis. CoRR abs/2304.00216 (2023) - [i93]Thomas Z. Li, John M. Still, Kaiwen Xu, Ho Hin Lee, Leon Y. Cai, Aravind R. Krishnan, Riqiang Gao, Mirza S. Khan, Sanja Antic, Michael N. Kammer, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman, Thomas A. Lasko:
Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures From Routine EHRs for Pulmonary Nodule Classification. CoRR abs/2304.02836 (2023) - [i92]Kaiwen Xu, Aravind R. Krishnan, Thomas Z. Li, Yuankai Huo, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman:
Zero-shot CT Field-of-view Completion with Unconditional Generative Diffusion Prior. CoRR abs/2304.03760 (2023) - [i91]Ruining Deng, Can Cui, Quan Liu, Tianyuan Yao, Lucas W. Remedios, Shunxing Bao, Bennett A. Landman, Lee E. Wheless, Lori A. Coburn, Keith T. Wilson, Yaohong Wang, Shilin Zhao, Agnes B. Fogo, Haichun Yang, Yucheng Tang, Yuankai Huo:
Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging. CoRR abs/2304.04155 (2023) - [i90]Lucas W. Remedios, Leon Y. Cai, Samuel W. Remedios, Karthik Ramadass, Aravind R. Krishnan, Ruining Deng, Can Cui, Shunxing Bao, Lori A. Coburn, Yuankai Huo, Bennett A. Landman:
Exploring shared memory architectures for end-to-end gigapixel deep learning. CoRR abs/2304.12149 (2023) - [i89]Yinchi Zhou, Ho Hin Lee, Yucheng Tang, Xin Yu, Qi Yang, Shunxing Bao, Jeffrey M. Spraggins, Yuankai Huo, Bennett A. Landman:
Multi-Contrast Computed Tomography Atlas of Healthy Pancreas. CoRR abs/2306.01853 (2023) - [i88]Tianyuan Yao, Francois Rheault, Leon Y. Cai, Vishwesh Nath, Zuhayr Asad, Nancy Newlin, Can Cui, Ruining Deng, Karthik Ramadass, Andrea T. Shafer, Susan M. Resnick, Kurt Schilling, Bennett A. Landman, Yuankai Huo:
Robust Fiber ODF Estimation Using Deep Constrained Spherical Deconvolution for Diffusion MRI. CoRR abs/2306.02900 (2023) - [i87]Can Cui, Yaohong Wang, Shunxing Bao, Yucheng Tang, Ruining Deng, Lucas W. Remedios, Zuhayr Asad, Joseph T. Roland, Ken S. Lau, Qi Liu, Lori A. Coburn, Keith T. Wilson, Bennett A. Landman, Yuankai Huo:
Feasibility of Universal Anomaly Detection without Knowing the Abnormality in Medical Images. CoRR abs/2307.00750 (2023) - [i86]Jeya Maria Jose Valanarasu, Yucheng Tang, Dong Yang, Ziyue Xu, Can Zhao, Wenqi Li, Vishal M. Patel, Bennett A. Landman, Daguang Xu, Yufan He, Vishwesh Nath:
Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training. CoRR abs/2307.16896 (2023) - [i85]Shunxing Bao, Sichen Zhu, Vasantha L. Kolachala, Lucas W. Remedios, Yeonjoo Hwang, Yutong Sun, Ruining Deng, Can Cui, Yike Li, Jia Li, Joseph T. Roland, Qi Liu, Ken S. Lau, Subra Kugathasan, Peng Qiu, Keith T. Wilson, Lori A. Coburn, Bennett A. Landman, Yuankai Huo:
Cell Spatial Analysis in Crohn's Disease: Unveiling Local Cell Arrangement Pattern with Graph-based Signatures. CoRR abs/2308.10166 (2023) - [i84]Xin Yu, Yucheng Tang, Qi Yang, Ho Hin Lee, Shunxing Bao, Yuankai Huo, Bennett A. Landman:
Enhancing Hierarchical Transformers for Whole Brain Segmentation with Intracranial Measurements Integration. CoRR abs/2309.04071 (2023) - [i83]Xin Yu, Qi Yang, Yucheng Tang, Riqiang Gao, Shunxing Bao, Leon Y. Cai, Ho Hin Lee, Yuankai Huo, Ann Zenobia Moore, Luigi Ferrucci, Bennett A. Landman:
Deep conditional generative models for longitudinal single-slice abdominal computed tomography harmonization. CoRR abs/2309.09392 (2023) - [i82]Aravind R. Krishnan, Kaiwen Xu, Thomas Z. Li, Chenyu Gao, Lucas W. Remedios, Praitayini Kanakaraj, Ho Hin Lee, Shunxing Bao, Kim L. Sandler, Fabien Maldonado, Ivana Isgum, Bennett A. Landman:
Inter-vendor harmonization of Computed Tomography (CT) reconstruction kernels using unpaired image translation. CoRR abs/2309.12953 (2023) - [i81]Ho Hin Lee, Quan Liu, Qi Yang, Xin Yu, Shunxing Bao, Yuankai Huo, Bennett A. Landman:
DeformUX-Net: Exploring a 3D Foundation Backbone for Medical Image Segmentation with Depthwise Deformable Convolution. CoRR abs/2310.00199 (2023) - [i80]Chenyu Gao, Michael E. Kim, Ho Hin Lee, Qi Yang, Nazirah Mohd Khairi, Praitayini Kanakaraj, Nancy R. Newlin, Derek B. Archer, Angela L. Jefferson, Warren D. Taylor, Brian D. Boyd, Lori L. Beason-Held, Susan M. Resnick, The BIOCARD Study Team, Yuankai Huo, Katherine D. Van Schaik, Kurt G. Schilling, Daniel Moyer, Ivana Isgum, Bennett A. Landman:
Predicting Age from White Matter Diffusivity with Residual Learning. CoRR abs/2311.03500 (2023) - [i79]M. Jorge Cardoso, Julia Moosbauer, Tessa Sundaram Cook, Barbaros Selnur Erdal, Brad W. Genereaux, Vikash Gupta, Bennett A. Landman, Tiarna Lee, Parashkev Nachev, Elanchezhian Somasundaram, Ronald M. Summers, Khaled Younis, Sébastien Ourselin, Franz Pfister:
RAISE - Radiology AI Safety, an End-to-end lifecycle approach. CoRR abs/2311.14570 (2023) - 2022
- [j84]Chaitanya K. Baru, Michael Pozmantier, Ilkay Altintas, Stephen Baek, Jonathan Cohen, Laura E. Condon, Giulia Fanti, Raul Castro Fernandez, Ethan Jackson, Upmanu Lall, Bennett A. Landman, Hai Li, Claudia Marin, Beatriz Martínez-López, Dimitris N. Metaxas, Bradley D. Olsen, Grier P. Page, Yelda Turkan, Jingbo Zhang, Peng Zhang:
Enabling AI Innovation via Data and Model Sharing: An Overview of the Nsf Convergence Accelerator Track D. AI Mag. 43(1): 93-104 (2022) - [j83]Hyeonsoo Moon, Yuankai Huo, Richard G. Abramson, Richard Alan Peters, Albert Assad, Tamara K. Moyo, Michael R. Savona, Bennett A. Landman:
Corrigendum to "Acceleration of spleen segmentation with end-to-end deep learning method and automated pipeline" [Comput. Biol. Med. 107 (2019) 109-117]. Comput. Biol. Medicine 140: 107 (2022) - [j82]Ho Hin Lee, Yucheng Tang, Kaiwen Xu, Shunxing Bao, Agnes B. Fogo, Raymond Harris, Mark P. de Caestecker, Mattias P. Heinrich, Jeffrey M. Spraggins, Yuankai Huo, Bennett A. Landman:
Multi-contrast computed tomography healthy kidney atlas. Comput. Biol. Medicine 146: 105555 (2022) - [j81]Riqiang Gao, Thomas Z. Li, Yucheng Tang, Kaiwen Xu, Mirza S. Khan, Michael N. Kammer, Sanja L. Antic, Stephen Deppen, Yuankai Huo, Thomas A. Lasko, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman:
Reducing uncertainty in cancer risk estimation for patients with indeterminate pulmonary nodules using an integrated deep learning model. Comput. Biol. Medicine 150: 106113 (2022) - [j80]Praitayini Kanakaraj, Karthik Ramadass, Shunxing Bao, Melissa A. Basford, Laura M. Jones, Ho Hin Lee, Kaiwen Xu, Kurt G. Schilling, John Jeffrey Carr, James G. Terry, Yuankai Huo, Kim L. Sandler, Allen T. Netwon, Bennett A. Landman:
Workflow Integration of Research AI Tools into a Hospital Radiology Rapid Prototyping Environment. J. Digit. Imaging 35(4): 1023-1033 (2022) - [j79]Shunxing Bao, Brian D. Boyd, Praitayini Kanakaraj, Karthik Ramadass, Francisco A. C. Meyer, Yuqian Liu, William E. Duett, Yuankai Huo, Ilwoo Lyu, David H. Zald, Seth A. Smith, Baxter P. Rogers, Bennett A. Landman:
Integrating the BIDS Neuroimaging Data Format and Workflow Optimization for Large-Scale Medical Image Analysis. J. Digit. Imaging 35(6): 1576-1589 (2022) - [j78]Ahmed M. Radwan, Stefan Sunaert, Kurt Schilling, Maxime Descoteaux, Bennett A. Landman, Mathieu Vandenbulcke, Tom Theys, Patrick Dupont, Louise Emsell:
An atlas of white matter anatomy, its variability, and reproducibility based on constrained spherical deconvolution of diffusion MRI. NeuroImage 254: 119029 (2022) - [j77]Chiara Maffei, Gabriel Girard, Kurt G. Schilling, Dogu Baran Aydogan, Nagesh Adluru, Andrey Zhylka, Ye Wu, Matteo Mancini, Andac Hamamci, Alessia Sarica, Achille Teillac, Steven H. Baete, Davood Karimi, Fang-Cheng Yeh, Mert E. Yildiz, Ali Gholipour, Yann Bihan-Poudec, Bassem Hiba, Andrea Quattrone, Aldo Quattrone, Tommy Boshkovski, Nikola Stikov, Pew-Thian Yap, Alberto De Luca, Josien P. W. Pluim, Alexander Leemans, Vivek Prabhakaran, Barbara B. Bendlin, Andrew L. Alexander, Bennett A. Landman, Erick Jorge Canales-Rodríguez, Muhamed Barakovic, Jonathan Rafael-Patino, Thomas Yu, Gaëtan Rensonnet, Simona Schiavi, Alessandro Daducci, Marco Pizzolato, Elda Fischi Gomez, Jean-Philippe Thiran, George Dai, Giorgia Grisot, Nikola Lazovski, Santi Puch, Marc Ramos, Paulo Rodrigues, Vesna Prckovska, Robert Jones, Julia Lehman, Suzanne N. Haber, Anastasia Yendiki:
Insights from the IronTract challenge: Optimal methods for mapping brain pathways from multi-shell diffusion MRI. NeuroImage 257: 119327 (2022) - [j76]Cailey I. Kerley, Shikha Chaganti, Tin Q. Nguyen, Camilo Bermudez, Laurie E. Cutting, Lori L. Beason-Held, Thomas A. Lasko, Bennett A. Landman:
pyPheWAS: A Phenome-Disease Association Tool for Electronic Medical Record Analysis. Neuroinformatics 20(2): 483-505 (2022) - [j75]Ethan H. Nguyen, Haichun Yang, Ruining Deng, Yuzhe Lu, Zheyu Zhu, Joseph T. Roland, Le Lu, Bennett A. Landman, Agnes B. Fogo, Yuankai Huo:
Circle Representation for Medical Object Detection. IEEE Trans. Medical Imaging 41(3): 746-754 (2022) - [c152]Shuang Zhou, Yuankai Huo, Shunxing Bao, Bennett A. Landman, Aniruddha Gokhale:
FedACA: An Adaptive Communication-Efficient Asynchronous Framework for Federated Learning. ACSOS 2022: 71-80 - [c151]Yucheng Tang, Dong Yang, Wenqi Li, Holger R. Roth, Bennett A. Landman, Daguang Xu, Vishwesh Nath, Ali Hatamizadeh:
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis. CVPR 2022: 20698-20708 - [c150]Can Cui, Zuhayr Asad, William F. Dean, Isabelle T. Smith, Christopher Madden, Shunxing Bao, Bennett A. Landman, Joseph T. Roland, Lori A. Coburn, Keith T. Wilson, Jeffrey P. Zwerner, Shilin Zhao, Lee E. Wheless, Yuankai Huo:
Multi-modal learning with missing data for cancer diagnosis using histopathological and genomic data. Computer-Aided Diagnosis 2022 - [c149]Ruining Deng, Can Cui, Lucas W. Remedios, Shunxing Bao, R. Michael Womick, Sophie Chiron, Jia Li, Joseph T. Roland, Ken S. Lau, Qi Liu, Keith T. Wilson, Yaohong Wang, Lori A. Coburn, Bennett A. Landman, Yuankai Huo:
Cross-Scale Attention Guided Multi-instance Learning for Crohn's Disease Diagnosis with Pathological Images. MMMI@MICCAI 2022: 24-33 - [c148]Shunxing Bao, Jia Li, Can Cui, Yucheng Tang, Ruining Deng, Lucas W. Remedios, Ho Hin Lee, Sophie Chiron, Nathan Heath Patterson, Ken S. Lau, Lori A. Coburn, Keith T. Wilson, Joseph T. Roland, Bennett A. Landman, Qi Liu, Yuankai Huo:
MxIF Q-score: Biology-Informed Quality Assurance for Multiplexed Immunofluorescence Imaging. MOVI@MICCAI 2022: 42-52 - [c147]Xin Yu, Qi Yang, Yucheng Tang, Riqiang Gao, Shunxing Bao, Leon Y. Cai, Ho Hin Lee, Yuankai Huo, Ann Zenobia Moore, Luigi Ferrucci, Bennett A. Landman:
Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative Models. MICCAI (8) 2022: 202-212 - [c146]Can Cui, Han Liu, Quan Liu, Ruining Deng, Zuhayr Asad, Yaohong Wang, Shilin Zhao, Haichun Yang, Bennett A. Landman, Yuankai Huo:
Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomic, and Demographic Data. MICCAI (5) 2022: 626-635 - [c145]Shunxing Bao, Yucheng Tang, Ho Hin Lee, Riqiang Gao, Qi Yang, Xin Yu, Sophie Chiron, Lori A. Coburn, Keith T. Wilson, Joseph T. Roland, Bennett A. Landman, Yuankai Huo:
Inpainting missing tissue in multiplexed immunofluorescence imaging. Digital and Computational Pathology 2022 - [c144]Xin Yu, Yucheng Tang, Qi Yang, Ho Hin Lee, Shunxing Bao, Ann Zenobia Moore, Luigi Ferrucci, Bennett A. Landman:
Accelerating 2D abdominal organ segmentation with active learning. Image Processing 2022 - [c143]Qi Yang, Xin Yu, Ho Hin Lee, Yucheng Tang, Shunxing Bao, Kristofer S. Gravenstein, Ann Zenobia Moore, Sokratis Makrogiannis, Luigi Ferrucci, Bennett A. Landman:
Quantification of muscle, bones, and fat on single slice thigh CT. Image Processing 2022 - [c142]Leon Y. Cai, Francois Rheault, Cailey I. Kerley, Katherine S. Aboud, Lori L. Beason-Held, Andrea T. Shafer, Susan M. Resnick, Lori C. Jordan, Adam W. Anderson, Kurt G. Schilling, Bennett A. Landman:
Joint independent component analysis for hypothesizing spatiotemporal relationships between longitudinal gray and white matter changes in preclinical Alzheimer's disease. Image Processing 2022 - [c141]Leon Y. Cai, Costin Tanase, Adam W. Anderson, Karthik Ramadass, Francois Rheault, Chelsea A. Lee, Niral J. Patel, Sky Jones, Lauren M. LeStourgeon, Alix Mahon, Sumit Pruthi, Kriti Gwal, Arzu Ozturk, Hakmook Kang, Nicole Glaser, Simona Ghetti, Sarah S. Jaser, Lori C. Jordan, Bennett A. Landman:
Multimodal neuroimaging in pediatric type 1 diabetes: a pilot multisite feasibility study of acquisition quality, motion, and variability. Image Processing 2022 - [c140]Praitayini Kanakaraj, Colin B. Hansen, Francois Rheault, Leon Y. Cai, Karthik Ramadass, Baxter P. Rogers, Kurt G. Schilling, Bennett A. Landman:
Mapping the impact of non-linear gradient fields on diffusion MRI tensor estimation. Image Processing 2022 - [c139]Ashwin Kumar, Simon N. Vandekar, Kurt Schilling, Aashim Bhatia, Bennett A. Landman, Seth A. Smith:
Mapping pediatric spinal cord development with age. Image Processing 2022 - [c138]Ho Hin Lee, Yucheng Tang, Shunxing Bao, Yan Xu, Qi Yang, Xin Yu, Agnes B. Fogo, Raymond Harris, Mark P. de Caestecker, Jeffrey M. Spraggins, Mattias P. Heinrich, Yuankai Huo, Bennett A. Landman:
Supervised deep generation of high-resolution arterial phase computed tomography kidney substructure atlas. Image Processing 2022 - [c137]Karthik Ramadass, Francois Rheault, Leon Y. Cai, Lucas W. Remedios, Micah D'Archangel, Ilwoo Lyu, Laura A. Barquero, Allen T. Newton, Laurie E. Cutting, Yuankai Huo, Bennett A. Landman:
Ultra-high-resolution mapping of cortical layers 3T-guided 7T MRI. Image Processing 2022 - [c136]Lucas W. Remedios, Leon Y. Cai, Colin B. Hansen, Samuel W. Remedios, Bennett A. Landman:
Efficient quality control with mixed CT and CTA datasets. Image Processing 2022 - [c135]Yuzhe Wang, Francois Rheault, Kurt G. Schilling, Lori L. Beason-Held, Andrea T. Shafer, Susan M. Resnick, Bennett A. Landman:
Longitudinal changes of connectomes and graph theory measures in aging. Image Processing 2022 - [c134]Kaiwen Xu, Riqiang Gao, Yucheng Tang, Steve A. Deppen, Kim L. Sandler, Michael N. Kammer, Sanja L. Antic, Fabien Maldonado, Yuankai Huo, Mirza S. Khan, Bennett A. Landman:
Extending the value of routine lung screening CT with quantitative body composition assessment. Image Processing 2022 - [c133]Ali Hatamizadeh, Yucheng Tang, Vishwesh Nath, Dong Yang, Andriy Myronenko, Bennett A. Landman, Holger R. Roth, Daguang Xu:
UNETR: Transformers for 3D Medical Image Segmentation. WACV 2022: 1748-1758 - [e9]Shadi Albarqouni, Spyridon Bakas, Sophia Bano, M. Jorge Cardoso, Bishesh Khanal, Bennett A. Landman, Xiaoxiao Li, Chen Qin, Islem Rekik, Nicola Rieke, Holger Roth, Debdoot Sheet, Daguang Xu:
Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health - Third MICCAI Workshop, DeCaF 2022, and Second MICCAI Workshop, FAIR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18 and 22, 2022, Proceedings. Lecture Notes in Computer Science 13573, Springer 2022, ISBN 978-3-031-18522-9 [contents] - [e8]Olivier Colliot, Ivana Isgum, Bennett A. Landman, Murray H. Loew:
Medical Imaging 2022: Image Processing, San Diego, CA, USA, February 20-24, 2022 / Online, March 21-27, 2022. SPIE Proceedings 12032, SPIE 2022, ISBN 9781510649392 [contents] - [i78]Xin Yu, Yucheng Tang, Yinchi Zhou, Riqiang Gao, Qi Yang, Ho Hin Lee, Thomas Z. Li, Shunxing Bao, Yuankai Huo, Zhoubing Xu, Thomas A. Lasko, Richard G. Abramson, Bennett A. Landman:
Characterizing Renal Structures with 3D Block Aggregate Transformers. CoRR abs/2203.02430 (2022) - [i77]Can Cui, Han Liu, Quan Liu, Ruining Deng, Zuhayr Asad, Yaohong Wang, Shilin Zhao, Haichun Yang, Bennett A. Landman, Yuankai Huo:
Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomics, and Demographic Data. CoRR abs/2203.04419 (2022) - [i76]Can Cui, Haichun Yang, Yaohong Wang, Shilin Zhao, Zuhayr Asad, Lori A. Coburn, Keith T. Wilson, Bennett A. Landman, Yuankai Huo:
Deep Multi-modal Fusion of Image and Non-image Data in Disease Diagnosis and Prognosis: A Review. CoRR abs/2203.15588 (2022) - [i75]Ho Hin Lee, Yucheng Tang, Riqiang Gao, Qi Yang, Xin Yu, Shunxing Bao, James G. Terry, John Jeffrey Carr, Yuankai Huo, Bennett A. Landman:
Pseudo-Label Guided Multi-Contrast Generalization for Non-Contrast Organ-Aware Segmentation. CoRR abs/2205.05898 (2022) - [i74]Jun Li, Junyu Chen, Yucheng Tang, Ce Wang, Bennett A. Landman, S. Kevin Zhou:
Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives. CoRR abs/2206.01136 (2022) - [i73]Lena Maier-Hein, Annika Reinke, Evangelia Christodoulou, Ben Glocker, Patrick Godau, Fabian Isensee, Jens Kleesiek, Michal Kozubek, Mauricio Reyes, Michael A. Riegler, Manuel Wiesenfarth, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Minu Dietlinde Tizabi, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Peter Bankhead, Arriel Benis, M. Jorge Cardoso, Veronika Cheplygina, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Bram van Ginneken, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Pierre Jannin, Charles E. Kahn, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Annette Kopp-Schneider, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, David Moher, Karel G. M. Moons, Henning Müller, Felix Nickel, Brennan Nichyporuk, Jens Petersen, Nasir M. Rajpoot, Nicola Rieke, Julio Saez-Rodriguez, Clarisa Sánchez Gutiérrez, Shravya Shetty, Maarten van Smeden, Carole H. Sudre, Ronald M. Summers, Abdel A. Taha, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Paul F. Jäger:
Metrics reloaded: Pitfalls and recommendations for image analysis validation. CoRR abs/2206.01653 (2022) - [i72]Riqiang Gao, Thomas Z. Li, Yucheng Tang, Zhoubing Xu, Michael N. Kammer, Sanja L. Antic, Kim L. Sandler, Fabien Maldonado, Thomas A. Lasko, Bennett A. Landman:
A Comparative Study of Confidence Calibration in Deep Learning: From Computer Vision to Medical Imaging. CoRR abs/2206.08833 (2022) - [i71]Kaiwen Xu, Thomas Z. Li, Mirza S. Khan, Riqiang Gao, Sanja L. Antic, Yuankai Huo, Kim L. Sandler, Fabien Maldonado, Bennett A. Landman:
Body Composition Assessment with Limited Field-of-view Computed Tomography: A Semantic Image Extension Perspective. CoRR abs/2207.06551 (2022) - [i70]Ruining Deng, Can Cui, Lucas W. Remedios, Shunxing Bao, R. Michael Womick, Sophie Chiron, Jia Li, Joseph T. Roland, Ken S. Lau, Qi Liu, Keith T. Wilson, Yaohong Wang, Lori A. Coburn, Bennett A. Landman, Yuankai Huo:
Cross-scale Attention Guided Multi-instance Learning for Crohn's Disease Diagnosis with Pathological Images. CoRR abs/2208.07322 (2022) - [i69]Tianyuan Yao, Chang Qu, Jun Long, Quan Liu, Ruining Deng, Yuanhan Tian, Jiachen Xu, Aadarsh Jha, Zuhayr Asad, Shunxing Bao, Mengyang Zhao, Agnes B. Fogo, Bennett A. Landman, Haichun Yang, Catie Chang, Yuankai Huo:
Compound Figure Separation of Biomedical Images: Mining Large Datasets for Self-supervised Learning. CoRR abs/2208.14357 (2022) - [i68]Thomas Z. Li, Kaiwen Xu, Riqiang Gao, Yucheng Tang, Thomas A. Lasko, Fabien Maldonado, Kim L. Sandler, Bennett A. Landman:
Time-distance vision transformers in lung cancer diagnosis from longitudinal computed tomography. CoRR abs/2209.01676 (2022) - [i67]Xin Yu, Yucheng Tang, Qi Yang, Ho Hin Lee, Riqiang Gao, Shunxing Bao, Ann Zenobia Moore, Luigi Ferrucci, Bennett A. Landman:
Longitudinal Variability Analysis on Low-dose Abdominal CT with Deep Learning-based Segmentation. CoRR abs/2209.14217 (2022) - [i66]Xin Yu, Qi Yang, Yinchi Zhou, Leon Y. Cai, Riqiang Gao, Ho Hin Lee, Thomas Z. Li, Shunxing Bao, Zhoubing Xu, Thomas A. Lasko, Richard G. Abramson, Zizhao Zhang, Yuankai Huo, Bennett A. Landman, Yucheng Tang:
UNesT: Local Spatial Representation Learning with Hierarchical Transformer for Efficient Medical Segmentation. CoRR abs/2209.14378 (2022) - [i65]Xin Yu, Qi Yang, Yucheng Tang, Riqiang Gao, Shunxing Bao, Leon Y. Cai, Ho Hin Lee, Yuankai Huo, Ann Zenobia Moore, Luigi Ferrucci, Bennett A. Landman:
Reducing Positional Variance in Cross-sectional Abdominal CT Slices with Deep Conditional Generative Models. CoRR abs/2209.14467 (2022) - [i64]Ho Hin Lee, Shunxing Bao, Yuankai Huo, Bennett A. Landman:
3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation. CoRR abs/2209.15076 (2022) - [i63]Ho Hin Lee, Yucheng Tang, Han Liu, Yubo Fan, Leon Y. Cai, Qi Yang, Xin Yu, Shunxing Bao, Yuankai Huo, Bennett A. Landman:
Adaptive Contrastive Learning with Dynamic Correlation for Multi-Phase Organ Segmentation. CoRR abs/2210.08652 (2022) - [i62]Qi Yang, Xin Yu, Ho Hin Lee, Leon Y. Cai, Kaiwen Xu, Shunxing Bao, Yuankai Huo, Ann Zenobia Moore, Sokratis Makrogiannis, Luigi Ferrucci, Bennett A. Landman:
Single Slice Thigh CT Muscle Group Segmentation with Domain Adaptation and Self-Training. CoRR abs/2212.00059 (2022) - [i61]Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Patrick Godau, Veronika Cheplygina, Michal Kozubek, Sharib Ali, Anubha Gupta, Jan Kybic, J. Alison Noble, Carlos Ortiz-de-Solórzano, Samiksha Pachade, Caroline Petitjean, Daniel Sage, Donglai Wei, Elizabeth Wilden, Deepak Alapatt, Vincent Andrearczyk, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Vivek Singh Bawa, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Jinwook Choi, Olivier Commowick, Marie Daum, Adrien Depeursinge, Reuben Dorent, Jan Egger, Hannah Eichhorn, Sandy Engelhardt, Melanie Ganz, Gabriel Girard, Lasse Hansen, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Hyunjeong Kim, Bennett A. Landman, Hongwei Bran Li, Jianning Li, Jun Ma, Anne L. Martel, et al.:
Biomedical image analysis competitions: The state of current participation practice. CoRR abs/2212.08568 (2022) - 2021
- [j74]Yucheng Tang, Riqiang Gao, Ho Hin Lee, Shizhong Han, Yunqiang Chen, Dashan Gao, Vishwesh Nath, Camilo Bermudez, Michael R. Savona, Richard G. Abramson, Shunxing Bao, Ilwoo Lyu, Yuankai Huo, Bennett A. Landman:
High-resolution 3D abdominal segmentation with random patch network fusion. Medical Image Anal. 69: 101894 (2021) - [j73]Mengyang Zhao, Aadarsh Jha, Quan Liu, Bryan A. Millis, Anita Mahadevan-Jansen, Le Lu, Bennett A. Landman, Matthew J. Tyska, Yuankai Huo:
Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and tracking. Medical Image Anal. 71: 102048 (2021) - [j72]Ilwoo Lyu, Shuxing Bao, Lingyan Hao, Jewelia Yao, Jacob A. Miller, Willa Voorhies, Warren D. Taylor, Silvia A. Bunge, Kevin S. Weiner, Bennett A. Landman:
Labeling lateral prefrontal sulci using spherical data augmentation and context-aware training. NeuroImage 229: 117758 (2021) - [j71]Alberto De Luca, Andrada Ianus, Alexander Leemans, Marco Palombo, Noam Shemesh, Hui Zhang, Daniel C. Alexander, Markus Nilsson, Martijn Froeling, Geert Jan Biessels, Mauro Zucchelli, Matteo Frigo, Enes Albay, Sara Sedlar, Abib Alimi, Samuel Deslauriers-Gauthier, Rachid Deriche, Rutger Fick, Maryam Afzali, Tomasz Pieciak, Fabian Bogusz, Santiago Aja-Fernández, Evren Özarslan, Derek K. Jones, Haoze Chen, Mingwu Jin, Zhijie Zhang, Fengxiang Wang, Vishwesh Nath, Prasanna Parvathaneni, Jan Morez, Jan Sijbers, Ben Jeurissen, Shreyas Fadnavis, Stefan C. Endres, Ariel Rokem, Eleftherios Garyfallidis, Irina Sánchez, Vesna Prchkovska, Paulo Rodrigues, Bennett A. Landman, Kurt G. Schilling:
On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: Chronicles of the MEMENTO challenge. NeuroImage 240: 118367 (2021) - [j70]Kurt G. Schilling, Chantal M. W. Tax, Francois Rheault, Colin B. Hansen, Qi Yang, Fang-Cheng Yeh, Leon Y. Cai, Adam W. Anderson, Bennett A. Landman:
Fiber tractography bundle segmentation depends on scanner effects, vendor effects, acquisition resolution, diffusion sampling scheme, diffusion sensitization, and bundle segmentation workflow. NeuroImage 242: 118451 (2021) - [j69]Kurt G. Schilling, François Rheault, Laurent Petit, Colin B. Hansen, Vishwesh Nath, Fang-Cheng Yeh, Gabriel Girard, Muhamed Barakovic, Jonathan Rafael-Patino, Thomas Yu, Elda Fischi Gomez, Marco Pizzolato, Mario Ocampo-Pineda, Simona Schiavi, Erick Jorge Canales-Rodríguez, Alessandro Daducci, Cristina Granziera, Giorgio M. Innocenti, Jean-Philippe Thiran, Laura Mancini, Stephen J. Wastling, Sirio Cocozza, Maria Petracca, Giuseppe Pontillo, Matteo Mancini, Sjoerd B. Vos, Vejay N. Vakharia, John S. Duncan, Helena Melero, Lidia Manzanedo, Emilio Sanz-Morales, Ángel Peña-Melián, Fernando Calamante, Arnaud Attye, Ryan P. Cabeen, Laura Korobova, Arthur W. Toga, Anupa Ambili Vijayakumari, Drew Parker, Ragini Verma, Ahmed M. Radwan, Stefan Sunaert, Louise Emsell, Alberto De Luca, Alexander Leemans, Claude J. Bajada, Hamied A. Haroon, Hojjatollah Azadbakht, Maxime Chamberland, Sila Genc, Chantal M. W. Tax, Ping Hong Yeh, Rujirutana Srikanchana, Colin D. Mcknight, Joseph Yuan-Mou Yang, Jian Chen, Claire E. Kelly, Chun-Hung Yeh, Jérôme Cochereau, Jerome J. Maller, Thomas Welton, Fabien Almairac, Kiran K. Seunarine, Chris A. Clark, Fan Zhang, Nikos Makris, Alexandra J. Golby, Yogesh Rathi, Lauren J. O'Donnell, Yihao Xia, Dogu Baran Aydogan, Yonggang Shi, Francisco Guerreiro Fernandes, Mathijs Raemaekers, Shaun Warrington, Stijn Michielse, Alonso Ramirez-Manzanares, Luis Concha, Ramón Aranda, Mariano Rivera Meraz, Garikoitz Lerma-Usabiaga, Lucas Roitman, Lucius S. Fekonja, Navona Calarco, Michael Joseph, Hajer Nakua, Aristotle N. Voineskos, Philippe Karan, Gabrielle Grenier, Jon Haitz Legarreta, Nagesh Adluru, Veena A. Nair, Vivek Prabhakaran, Andrew L. Alexander, Koji Kamagata, Yuya Saito, Wataru Uchida, Christina Andica, Masahiro Abe, Roza G. Bayrak, Claudia A. M. Gandini Wheeler-Kingshott, Egidio D'Angelo, Fulvia Palesi, Giovanni Savini, Nicolò Rolandi, Pamela Guevara, Josselin Houenou, Narciso López-López, Jean-François Mangin, Cyril Poupon, Claudio Román, Andrea Vázquez, Chiara Maffei, Mavilde Arantes, José Paulo Andrade, Susana Maria Silva, Vince D. Calhoun, Eduardo Caverzasi, Simone Sacco, Michael Lauricella, Franco Pestilli, Daniel Bullock, Yang Zhan, Edith Brignoni-Pérez, Catherine Lebel, Jess E. Reynolds, Igor Nestrasil, René Labounek, Christophe Lenglet, Amy Paulson, Stefania Aulicka, Sarah R. Heilbronner, Katja Heuer, Bramsh Qamar Chandio, Javier Guaje, Wei Tang, Eleftherios Garyfallidis, Rajikha Raja, Adam W. Anderson, Bennett A. Landman, Maxime Descoteaux:
Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset? NeuroImage 243: 118502 (2021) - [j68]Colin B. Hansen, Qi Yang, Ilwoo Lyu, Francois Rheault, Cailey I. Kerley, Bramsh Qamar Chandio, Shreyas Fadnavis, Owen A. Williams, Andrea T. Shafer, Susan M. Resnick, David H. Zald, Laurie E. Cutting, Warren D. Taylor, Brian D. Boyd, Eleftherios Garyfallidis, Adam W. Anderson, Maxime Descoteaux, Bennett A. Landman, Kurt G. Schilling:
Pandora: 4-D White Matter Bundle Population-Based Atlases Derived from Diffusion MRI Fiber Tractography. Neuroinformatics 19(3): 447-460 (2021) - [j67]Yue Sun, Kun Gao, Zhengwang Wu, Guannan Li, Xiaopeng Zong, Zhihao Lei, Ying Wei, Jun Ma, Xiaoping Yang, Xue Feng, Li Zhao, Trung Le Phan, Jitae Shin, Tao Zhong, Yu Zhang, Lequan Yu, Caizi Li, Ramesh Basnet, M. Omair Ahmad, M. N. S. Swamy, Wenao Ma, Qi Dou, Toan Duc Bui, Camilo Bermudez Noguera, Bennett A. Landman, Ian H. Gotlib, Kathryn L. Humphreys, Sarah Shultz, Longchuan Li, Sijie Niu, Weili Lin, Valerie Jewells, Dinggang Shen, Gang Li, Li Wang:
Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge. IEEE Trans. Medical Imaging 40(5): 1363-1376 (2021) - [j66]Yucheng Tang, Riqiang Gao, Shizhong Han, Yunqiang Chen, Dashan Gao, Vishwesh Nath, Camilo Bermudez, Michael R. Savona, Shunxing Bao, Ilwoo Lyu, Yuankai Huo, Bennett A. Landman:
Body Part Regression With Self-Supervision. IEEE Trans. Medical Imaging 40(5): 1499-1507 (2021) - [j65]Vishwesh Nath, Dong Yang, Bennett A. Landman, Daguang Xu, Holger R. Roth:
Diminishing Uncertainty Within the Training Pool: Active Learning for Medical Image Segmentation. IEEE Trans. Medical Imaging 40(10): 2534-2547 (2021) - [c132]Mirza S. Khan, Bennett A. Landman, Stephen A. Deppen, Michael E. Matheny:
Intrinsic Evaluation of Contextual and Non-contextual Word Embeddings using Radiology Reports. AMIA 2021 - [c131]Mirza S. Khan, Kaiwen Xu, Stephen A. Deppen, Kim L. Sandler, Bennett A. Landman:
Image-based Phenotyping for Risk Stratification in the National Lung Screening Trial. AMIA 2021 - [c130]Shunxing Bao, Yucheng Tang, Ho Hin Lee, Riqiang Gao, Sophie Chiron, Ilwoo Lyu, Lori A. Coburn, Keith T. Wilson, Joseph T. Roland, Bennett A. Landman, Yuankai Huo:
Random Multi-Channel Image Synthesis for Multiplexed Immunofluorescence Imaging. COMPAY@MICCAI 2021: 36-46 - [c129]Ho Hin Lee, Yucheng Tang, Shunxing Bao, Richard G. Abramson, Yuankai Huo, Bennett A. Landman:
Rap-Net: Coarse-To-Fine Multi-Organ Segmentation With Single Random Anatomical Prior. ISBI 2021: 1491-1494 - [c128]Yucheng Tang, Riqiang Gao, Ho Hin Lee, Qi Yang, Xin Yu, Yuyin Zhou, Shunxing Bao, Yuankai Huo, Jeffrey M. Spraggins, Jack Virostko, Zhoubing Xu, Bennett A. Landman:
Pancreas CT Segmentation by Predictive Phenotyping. MICCAI (1) 2021: 25-35 - [c127]Tianyuan Yao, Chang Qu, Quan Liu, Ruining Deng, Yuanhan Tian, Jiachen Xu, Aadarsh Jha, Shunxing Bao, Mengyang Zhao, Agnes B. Fogo, Bennett A. Landman, Catie Chang, Haichun Yang, Yuankai Huo:
Compound Figure Separation of Biomedical Images with Side Loss. DGM4MICCAI/DALI@MICCAI 2021: 173-183 - [c126]Riqiang Gao, Yucheng Tang, Kaiwen Xu, Ho Hin Lee, Steve Deppen, Kim L. Sandler, Pierre P. Massion, Thomas A. Lasko, Yuankai Huo, Bennett A. Landman:
Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective. MICCAI (5) 2021: 647-656 - [c125]Yue Liu, Dario J. Englot, Victoria L. Morgan, Warren D. Taylor, Ying Wei, Ipek Oguz, Bennett A. Landman, Ilwoo Lyu:
Establishing surface correspondence for post-surgical cortical thickness changes in temporal lobe epilepsy. Image Processing 2021 - [c124]Leon Y. Cai, Cailey I. Kerley, Chang Yu, Katherine S. Aboud, Lori L. Beason-Held, Andrea T. Shafer, Susan M. Resnick, Lori C. Jordan, Adam W. Anderson, Kurt G. Schilling, Ilwoo Lyu, Bennett A. Landman:
Joint cortical surface and structural connectivity analysis of Alzheimer's disease. Image Processing 2021 - [c123]Riqiang Gao, Yucheng Tang, Kaiwen Xu, Michael N. Kammer, Sanja L. Antic, Steve Deppen, Kim L. Sandler, Pierre P. Massion, Yuankai Huo, Bennett A. Landman:
Deep multi-path network integrating incomplete biomarker and chest CT data for evaluating lung cancer risk. Image Processing 2021 - [c122]Ivana Isgum, Bennett A. Landman:
Welcome and Introduction to SPIE Conference 11596. Image Processing 2021 - [c121]Cailey I. Kerley, Leon Y. Cai, Chang Yu, Logan M. Crawford, Jason M. Elenberger, Eden S. Singh, Kurt G. Schilling, Katherine S. Aboud, Bennett A. Landman, Tonia S. Rex:
Joint analysis of structural connectivity and cortical surface features: correlates with mild traumatic brain injury. Image Processing 2021 - [c120]Ho Hin Lee, Yucheng Tang, Kaiwen Xu, Shunxing Bao, Agnes B. Fogo, Raymond Harris, Mark P. de Caestecker, Mattias P. Heinrich, Jeffrey M. Spraggins, Yuankai Huo, Bennett A. Landman:
Construction of a multi-phase contrast computed tomography kidney atlas. Image Processing 2021 - [c119]Can Luo, James G. Terry, Yucheng Tang, Kaiwen Xu, Pierre P. Massion, Bennett A. Landman, Jeffrey Carr, Yuankai Huo:
Measure partial liver volumetric variations from paired inspiratory-expiratory chest CT scans. Image Processing 2021 - [c118]Yucheng Tang, Riqiang Gao, Ho Hin Lee, Zhoubing Xu, Brent V. Savoie, Shunxing Bao, Yuankai Huo, Agnes B. Fogo, Raymond Harris, Mark P. de Caestecker, Jeffrey M. Spraggins, Bennett A. Landman:
Renal cortex, medulla and pelvicaliceal system segmentation on arterial phase CT images with random patch-based networks. Image Processing 2021 - [c117]Kaiwen Xu, Riqiang Gao, Mirza S. Khan, Shunxing Bao, Yucheng Tang, Steve Deppen, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Mattias P. Heinrich, Bennett A. Landman:
Development and characterization of a chest CT atlas. Image Processing 2021 - [c116]Chang Yu, Yue Liu, Leon Y. Cai, Cailey I. Kerley, Kaiwen Xu, Warren D. Taylor, Hakmook Kang, Andrea T. Shafer, Lori L. Beason-Held, Susan M. Resnick, Bennett A. Landman, Ilwoo Lyu:
Validation of group-wise registration for surface-based functional MRI analysis. Image Processing 2021 - [e7]Cristina Oyarzun Laura, M. Jorge Cardoso, Michal Rosen-Zvi, Georgios Kaissis, Marius George Linguraru, Raj Shekhar, Stefan Wesarg, Marius Erdt, Klaus Drechsler, Yufei Chen, Shadi Albarqouni, Spyridon Bakas, Bennett A. Landman, Nicola Rieke, Holger Roth, Xiaoxiao Li, Daguang Xu, Maria Gabrani, Ender Konukoglu, Michal Guindy, Daniel Rueckert, Alexander Ziller, Dmitrii Usynin, Jonathan Passerat-Palmbach:
Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning - 10th Workshop, CLIP 2021, Second Workshop, DCL 2021, First Workshop, LL-COVID19 2021, and First Workshop and Tutorial, PPML 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27 and October 1, 2021, Proceedings. Lecture Notes in Computer Science 12969, Springer 2021, ISBN 978-3-030-90873-7 [contents] - [e6]Ivana Isgum, Bennett A. Landman:
Medical Imaging 2021: Image Processing, Online, February 15-19, 2021. SPIE Proceedings 11596, SPIE 2021, ISBN 9781510640214 [contents] - [i60]Vishwesh Nath, Dong Yang, Bennett A. Landman, Daguang Xu, Holger R. Roth:
Diminishing Uncertainty within the Training Pool: Active Learning for Medical Image Segmentation. CoRR abs/2101.02323 (2021) - [i59]Annika Reinke, Matthias Eisenmann, Minu Dietlinde Tizabi, Carole H. Sudre, Tim Rädsch, Michela Antonelli, Tal Arbel, Spyridon Bakas, M. Jorge Cardoso, Veronika Cheplygina, Keyvan Farahani, Ben Glocker, Doreen Heckmann-Nötzel, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Jens Kleesiek, Tahsin M. Kurç, Michal Kozubek, Bennett A. Landman, Geert Litjens, Klaus H. Maier-Hein, Bjoern H. Menze, Henning Müller, Jens Petersen, Mauricio Reyes, Nicola Rieke, Bram Stieltjes, Ronald M. Summers, Sotirios A. Tsaftaris, Bram van Ginneken, Annette Kopp-Schneider, Paul Jäger, Lena Maier-Hein:
Common Limitations of Image Processing Metrics: A Picture Story. CoRR abs/2104.05642 (2021) - [i58]Ho Hin Lee, Yucheng Tang, Qi Yang, Xin Yu, Shunxing Bao, Bennett A. Landman, Yuankai Huo:
Attention-Guided Supervised Contrastive Learning for Semantic Segmentation. CoRR abs/2106.01596 (2021) - [i57]Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern H. Menze, Olaf Ronneberger, Ronald M. Summers, Bram van Ginneken, Michel Bilello, Patrick Bilic, Patrick Ferdinand Christ, Richard K. G. Do, Marc Gollub, Stephan Heckers, Henkjan J. Huisman, William R. Jarnagin, Maureen McHugo, Sandy Napel, Jennifer Goli-Pernicka, Kawal S. Rhode, Catalina Tobon-Gomez, Eugene Vorontsov, James A. Meakin, Sébastien Ourselin, Manuel Wiesenfarth, Pablo Arbeláez, Byeonguk Bae, Sihong Chen, Laura Alexandra Daza, Jianjiang Feng, Baochun He, Fabian Isensee, Yuanfeng Ji, Fucang Jia, Namkug Kim, Ildoo Kim, Dorit Merhof, Akshay Pai, BeomHee Park, Mathias Perslev, Ramin Rezaiifar, Oliver Rippel, Ignacio Sarasua, Wei Shen, Jaemin Son, Christian Wachinger, Liansheng Wang, Yan Wang, Yingda Xia, Daguang Xu, Zhanwei Xu, Yefeng Zheng, Amber L. Simpson, Lena Maier-Hein, M. Jorge Cardoso:
The Medical Segmentation Decathlon. CoRR abs/2106.05735 (2021) - [i56]Tianyuan Yao, Chang Qu, Quan Liu, Ruining Deng, Yuanhan Tian, Jiachen Xu, Aadarsh Jha, Shunxing Bao, Mengyang Zhao, Agnes B. Fogo, Bennett A. Landman, Catie Chang, Haichun Yang, Yuankai Huo:
Compound Figure Separation of Biomedical Images with Side Loss. CoRR abs/2107.08650 (2021) - [i55]Riqiang Gao, Yucheng Tang, Kaiwen Xu, Ho Hin Lee, Steve Deppen, Kim L. Sandler, Pierre P. Massion, Thomas A. Lasko, Yuankai Huo, Bennett A. Landman:
Lung Cancer Risk Estimation with Incomplete Data: A Joint Missing Imputation Perspective. CoRR abs/2107.11882 (2021) - [i54]Riqiang Gao, Mirza S. Khan, Yucheng Tang, Kaiwen Xu, Steve Deppen, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman:
Technical Report: Quality Assessment Tool for Machine Learning with Clinical CT. CoRR abs/2107.12842 (2021) - [i53]Shunxing Bao, Yucheng Tang, Ho Hin Lee, Riqiang Gao, Sophie Chiron, Ilwoo Lyu, Lori A. Coburn, Keith T. Wilson, Joseph T. Roland, Bennett A. Landman, Yuankai Huo:
Random Multi-Channel Image Synthesis for Multiplexed Immunofluorescence Imaging. CoRR abs/2109.09004 (2021) - [i52]Ethan H. Nguyen, Haichun Yang, Ruining Deng, Yuzhe Lu, Zheyu Zhu, Joseph T. Roland, Le Lu, Bennett A. Landman, Agnes B. Fogo, Yuankai Huo:
Circle Representation for Medical Object Detection. CoRR abs/2110.12093 (2021) - [i51]Yucheng Tang, Dong Yang, Wenqi Li, Holger Roth, Bennett A. Landman, Daguang Xu, Vishwesh Nath, Ali Hatamizadeh:
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis. CoRR abs/2111.14791 (2021) - [i50]Alessa Hering, Lasse Hansen, Tony C. W. Mok, Albert C. S. Chung, Hanna Siebert, Stephanie Häger, Annkristin Lange, Sven Kuckertz, Stefan Heldmann, Wei Shao, Sulaiman Vesal, Mirabela Rusu, Geoffrey A. Sonn, Théo Estienne, Maria Vakalopoulou, Luyi Han, Yunzhi Huang, Mikael Brudfors, Yaël Balbastre, Samuel Joutard, Marc Modat, Gal Lifshitz, Dan Raviv, Jinxin Lv, Qiang Li, Vincent Jaouen, Dimitris Visvikis, Constance Fourcade, Mathieu Rubeaux, Wentao Pan, Zhe Xu, Bailiang Jian, Francesca De Benetti, Marek Wodzinski, Niklas Gunnarsson, Huaqi Qiu, Zeju Li, Christoph Großbröhmer, Andrew Hoopes, Ingerid Reinertsen, Yiming Xiao, Bennett A. Landman, Yuankai Huo, Keelin Murphy, Bram van Ginneken, Adrian V. Dalca, Mattias P. Heinrich:
Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning. CoRR abs/2112.04489 (2021) - 2020
- [j64]Yi Li, Huahong Zhang, Camilo Bermudez, Yifan Chen, Bennett A. Landman, Yevgeniy Vorobeychik:
Anatomical context protects deep learning from adversarial perturbations in medical imaging. Neurocomputing 379: 370-378 (2020) - [j63]Riqiang Gao, Yuankai Huo, Shunxing Bao, Yucheng Tang, Sanja L. Antic, Emily S. Epstein, Steve Deppen, Alexis B. Paulson, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman:
Multi-path x-D recurrent neural networks for collaborative image classification. Neurocomputing 397: 48-59 (2020) - [j62]Riqiang Gao, Yucheng Tang, Kaiwen Xu, Yuankai Huo, Shunxing Bao, Sanja L. Antic, Emily S. Epstein, Steve Deppen, Alexis B. Paulson, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman:
Time-distanced gates in long short-term memory networks. Medical Image Anal. 65: 101785 (2020) - [j61]Lena Maier-Hein, Annika Reinke, Michal Kozubek, Anne L. Martel, Tal Arbel, Matthias Eisenmann, Allan Hanbury, Pierre Jannin, Henning Müller, Sinan Onogur, Julio Saez-Rodriguez, Bram van Ginneken, Annette Kopp-Schneider, Bennett A. Landman:
BIAS: Transparent reporting of biomedical image analysis challenges. Medical Image Anal. 66: 101796 (2020) - [j60]Danielle June, Owen A. Williams, Chiung-Wei Huang, Yang An, Bennett A. Landman, Christos Davatzikos, Murat Bilgel, Susan M. Resnick, Lori L. Beason-Held:
Lasting consequences of concussion on the aging brain: Findings from the Baltimore Longitudinal Study of Aging. NeuroImage 221: 117182 (2020) - [j59]Nicola Rieke, Jonny Hancox, Wenqi Li, Fausto Milletarì, Holger R. Roth, Shadi Albarqouni, Spyridon Bakas, Mathieu N. Galtier, Bennett A. Landman, Klaus H. Maier-Hein, Sébastien Ourselin, Micah J. Sheller, Ronald M. Summers, Andrew Trask, Daguang Xu, Maximilian Baust, M. Jorge Cardoso:
The future of digital health with federated learning. npj Digit. Medicine 3 (2020) - [c115]Lingyan Hao, Shunxing Bao, Yucheng Tang, Riqiang Gao, Prasanna Parvathaneni, Jacob A. Miller, Willa Voorhies, Jewelia Yao, Silvia A. Bunge, Kevin S. Weiner, Bennett A. Landman, Ilwoo Lyu:
Automatic Labeling of Cortical Sulci Using Spherical Convolutional Neural Networks in a Developmental Cohort. ISBI 2020: 412-415 - [c114]Yucheng Tang, Riqiang Gao, Ho Hin Lee, Quinn Stanton Wells, Ashley Spann, James G. Terry, John Jeffrey Carr, Yuankai Huo, Shunxing Bao, Bennett A. Landman:
Prediction of Type II Diabetes Onset with Computed Tomography and Electronic Medical Records. ML-CDS/CLIP@MICCAI 2020: 13-23 - [c113]Haichun Yang, Ruining Deng, Yuzhe Lu, Zheyu Zhu, Ye Chen, Joseph T. Roland, Le Lu, Bennett A. Landman, Agnes B. Fogo, Yuankai Huo:
CircleNet: Anchor-Free Glomerulus Detection with Circle Representation. MICCAI (4) 2020: 35-44 - [c112]Colin B. Hansen, Vishwesh Nath, Riqiang Gao, Camilo Bermudez, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Jeffrey D. Blume, Thomas A. Lasko, Bennett A. Landman:
Semi-supervised Machine Learning with MixMatch and Equivalence Classes. iMIMIC/MIL3ID/LABELS@MICCAI 2020: 112-121 - [c111]Samuel W. Remedios, John A. Butman, Bennett A. Landman, Dzung L. Pham:
Federated Gradient Averaging for Multi-Site Training with Momentum-Based Optimizers. DART/DCL@MICCAI 2020: 170-180 - [c110]Camilo Bermudez, Justin A. Blaber, Samuel W. Remedios, Jess E. Reynolds, Catherine Lebel, Maureen McHugo, Stephan Heckers, Yuankai Huo, Bennett A. Landman:
Generalizing deep whole brain segmentation for pediatric and post-contrast MRI with augmented transfer learning. Image Processing 2020: 113130L - [c109]Riqiang Gao, Lingfeng Li, Yucheng Tang, Sanja L. Antic, Alexis B. Paulson, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman:
Deep multi-task prediction of lung cancer and cancer-free progression from censored heterogenous clinical imaging. Image Processing 2020: 113130D - [c108]Vishwesh Nath, Sudhir K. Pathak, Kurt G. Schilling, Walt Schneider, Bennett A. Landman:
Deep learning estimation of multi-tissue constrained spherical deconvolution with limited single shell DW-MRI. Image Processing 2020: 113130S - [c107]Samuel Remedios, Zihao Wu, Camilo Bermudez, Cailey I. Kerley, Snehashis Roy, Mayur B. Patel, John A. Butman, Bennett A. Landman, Dzung L. Pham:
Extracting 2D weak labels from volume labels using multiple instance learning in CT hemorrhage detection. Image Processing 2020: 113130F - [c106]Ho Hin Lee, Yucheng Tang, Olivia Tang, Yuchen Xu, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman:
Semi-supervised multi-organ segmentation through quality assurance supervision. Image Processing 2020: 113131I - [c105]Cailey I. Kerley, Kurt G. Schilling, Justin A. Blaber, Beth Miller, Allen T. Newton, Adam W. Anderson, Bennett A. Landman, Tonia S. Rex:
MRI correlates of chronic symptoms in mild traumatic brain injury. Image Processing 2020: 113132Q - [c104]Olivia Tang, Yuchen Xu, Yucheng Tang, Ho Hin Lee, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman:
Validation and optimization of multi-organ segmentation on clinical imaging archives. Image Processing 2020: 113132O - [c103]Yucheng Tang, Ho Hin Lee, Yuchen Xu, Olivia Tang, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Camilo Bermudez, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman:
Contrast phase classification with a generative adversarial network. Image Processing 2020: 1131310 - [c102]Yiyuan Yang, Riqiang Gao, Yucheng Tang, Sanja L. Antic, Steve Deppen, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman:
Internal-transfer weighting of multi-task learning for lung cancer detection. Image Processing 2020: 1131323 - [c101]Yuchen Xu, Olivia Tang, Yucheng Tang, Ho Hin Lee, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman:
Outlier guided optimization of abdominal segmentation. Image Processing 2020: 1131336 - [e5]Shadi Albarqouni, Spyridon Bakas, Konstantinos Kamnitsas, M. Jorge Cardoso, Bennett A. Landman, Wenqi Li, Fausto Milletari, Nicola Rieke, Holger Roth, Daguang Xu, Ziyue Xu:
Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning - Second MICCAI Workshop, DART 2020, and First MICCAI Workshop, DCL 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings. Lecture Notes in Computer Science 12444, Springer 2020, ISBN 978-3-030-60547-6 [contents] - [e4]Ivana Isgum, Bennett A. Landman:
Medical Imaging 2020: Image Processing, Houston, TX, USA, February 15-20, 2020. SPIE Proceedings 11313, SPIE 2020, ISBN 9781510633933 [contents] - [i49]Yuchen Xu, Olivia Tang, Yucheng Tang, Ho Hin Lee, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman:
Outlier Guided Optimization of Abdominal Segmentation. CoRR abs/2002.04098 (2020) - [i48]Yuchen Xu, Olivia Tang, Yucheng Tang, Ho Hin Lee, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman:
Validation and Optimization of Multi-Organ Segmentation on Clinical Imaging Archives. CoRR abs/2002.04102 (2020) - [i47]Vishwesh Nath, Sudhir K. Pathak, Kurt G. Schilling, Walt Schneider, Bennett A. Landman:
Deep Learning Estimation of Multi-Tissue Constrained Spherical Deconvolution with Limited Single Shell DW-MRI. CoRR abs/2002.08820 (2020) - [i46]Colin B. Hansen, Vishwesh Nath, Diego A. Mesa, Yuankai Huo, Bennett A. Landman, Thomas A. Lasko:
The Value of Nullspace Tuning Using Partial Label Information. CoRR abs/2003.07921 (2020) - [i45]Nicola Rieke, Jonny Hancox, Wenqi Li, Fausto Milletari, Holger Roth, Shadi Albarqouni, Spyridon Bakas, Mathieu N. Galtier, Bennett A. Landman, Klaus H. Maier-Hein, Sébastien Ourselin, Micah J. Sheller, Ronald M. Summers, Andrew Trask, Daguang Xu, Maximilian Baust, M. Jorge Cardoso:
The Future of Digital Health with Federated Learning. CoRR abs/2003.08119 (2020) - [i44]Haichun Yang, Ruining Deng, Yuzhe Lu, Zheyu Zhu, Ye Chen, Joseph T. Roland, Le Lu, Bennett A. Landman, Agnes B. Fogo, Yuankai Huo:
CircleNet: Anchor-free Detection with Circle Representation. CoRR abs/2006.02474 (2020) - [i43]Yuankai Huo, Jinzheng Cai, Chi-Tung Cheng, Ashwin Raju, Ke Yan, Bennett A. Landman, Jing Xiao, Le Lu, Chien-Hung Liao, Adam P. Harrison:
Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning. CoRR abs/2006.15691 (2020) - [i42]Yue Sun, Kun Gao, Zhengwang Wu, Zhihao Lei, Ying Wei, Jun Ma, Xiaoping Yang, Xue Feng, Li Zhao, Trung Le Phan, Jitae Shin, Tao Zhong, Yu Zhang, Lequan Yu, Caizi Li, Ramesh Basnet, M. Omair Ahmad, M. N. S. Swamy, Wenao Ma, Qi Dou, Toan Duc Bui, Camilo Bermudez Noguera, Bennett A. Landman, Ian H. Gotlib, Kathryn L. Humphreys, Sarah Shultz, Longchuan Li, Sijie Niu, Weili Lin, Valerie Jewells, Gang Li, Dinggang Shen, Li Wang:
Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge. CoRR abs/2007.02096 (2020) - [i41]Mengyang Zhao, Aadarsh Jha, Quan Liu, Bryan A. Millis, Anita Mahadevan-Jansen, Le Lu, Bennett A. Landman, Matthew J. Tyskac, Yuankai Huo:
Faster Mean-shift: GPU-accelerated Embedding-clustering for Cell Segmentation and Tracking. CoRR abs/2007.14283 (2020) - [i40]Riqiang Gao, Yucheng Tang, Kaiwen Xu, Michael N. Kammer, Sanja L. Antic, Steve Deppen, Kim L. Sandler, Pierre P. Massion, Yuankai Huo, Bennett A. Landman:
Deep Multi-path Network Integrating Incomplete Biomarker and Chest CT Data for Evaluating Lung Cancer Risk. CoRR abs/2010.09524 (2020) - [i39]Kaiwen Xu, Riqiang Gao, Mirza S. Khan, Shunxing Bao, Yucheng Tang, Steve A. Deppen, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Mattias P. Heinrich, Bennett A. Landman:
Development and Characterization of a Chest CT Atlas. CoRR abs/2012.03124 (2020) - [i38]Cailey I. Kerley, Leon Y. Cai, Chang Yu, Logan M. Crawford, Jason M. Elenberger, Eden S. Singh, Kurt G. Schilling, Katherine S. Aboud, Bennett A. Landman, Tonia S. Rex:
Joint analysis of structural connectivity and cortical surface features: correlates with mild traumatic brain injury. CoRR abs/2012.03671 (2020) - [i37]Ho Hin Lee, Yucheng Tang, Shunxing Bao, Richard G. Abramson, Yuankai Huo, Bennett A. Landman:
RAP-Net: Coarse-to-Fine Multi-Organ Segmentation with Single Random Anatomical Prior. CoRR abs/2012.12425 (2020) - [i36]Ho Hin Lee, Yucheng Tang, Kaiwen Xu, Shunxing Bao, Agnes B. Fogo, Raymond Harris, Mark P. de Caestecker, Mattias P. Heinrich, Jeffrey M. Spraggins, Yuankai Huo, Bennett A. Landman:
Multi-Contrast Computed Tomography Healthy Kidney Atlas. CoRR abs/2012.12432 (2020)
2010 – 2019
- 2019
- [j58]Hyeonsoo Moon, Yuankai Huo, Richard G. Abramson, Richard Alan Peters, Albert Assad, Tamara K. Moyo, Michael R. Savona, Bennett A. Landman:
Acceleration of spleen segmentation with end-to-end deep learning method and automated pipeline. Comput. Biol. Medicine 107: 109-117 (2019) - [j57]Ana Gainaru, Hongyang Sun, Guillaume Aupy, Yuankai Huo, Bennett A. Landman, Padma Raghavan:
On-the-fly scheduling versus reservation-based scheduling for unpredictable workflows. Int. J. High Perform. Comput. Appl. 33(6) (2019) - [j56]Steve G. Langer, George Shih, Paul G. Nagy, Bennett A. Landman:
Correction to: Collaborative and Reproducible Research: Goals, Challenges, and Strategies. J. Digit. Imaging 32(5): 897 (2019) - [j55]Shikha Chaganti, Kevin Mundy, Michael P. DeLisi, Katrina Nelson, Robert L. Harrigan, Robert L. Galloway, Bennett A. Landman, Louise A. Mawn:
Assessment of Orbital Computed Tomography (CT) Imaging Biomarkers in Patients with Thyroid Eye Disease. J. Digit. Imaging 32(6): 987-994 (2019) - [j54]Ilwoo Lyu, Hakmook Kang, Neil D. Woodward, Martin A. Styner, Bennett A. Landman:
Hierarchical spherical deformation for cortical surface registration. Medical Image Anal. 57: 72-88 (2019) - [j53]Kurt G. Schilling, Vishwesh Nath, Colin B. Hansen, Prasanna Parvathaneni, Justin A. Blaber, Yurui Gao, Peter Neher, Dogu Baran Aydogan, Yonggang Shi, Mario Ocampo-Pineda, Simona Schiavi, Alessandro Daducci, Gabriel Girard, Muhamed Barakovic, Jonathan Rafael-Patino, David Romascano, Gaëtan Rensonnet, Marco Pizzolato, Bennett A. Landman:
Limits to anatomical accuracy of diffusion tractography using modern approaches. NeuroImage 185: 1-11 (2019) - [j52]Owen A. Williams, Yang An, Lori L. Beason-Held, Yuankai Huo, Luigi Ferrucci, Bennett A. Landman, Susan M. Resnick:
Vascular burden and APOE ε4 are associated with white matter microstructural decline in cognitively normal older adults. NeuroImage 188: 572-583 (2019) - [j51]Yuankai Huo, Zhoubing Xu, Yunxi Xiong, Katherine Aboud, Prasanna Parvathaneni, Shunxing Bao, Camilo Bermudez, Susan M. Resnick, Laurie E. Cutting, Bennett A. Landman:
3D whole brain segmentation using spatially localized atlas network tiles. NeuroImage 194: 105-119 (2019) - [j50]Kurt G. Schilling, Samantha By, Haley R. Feiler, Bailey A. Box, Kristin P. O'Grady, Atlee A. Witt, Bennett A. Landman, Seth A. Smith:
Diffusion MRI microstructural models in the cervical spinal cord - Application, normative values, and correlations with histological analysis. NeuroImage 201 (2019) - [j49]Kurt G. Schilling, Yurui Gao, Matthew Christian, Vaibhav A. Janve, Iwona Stepniewska, Bennett A. Landman, Adam W. Anderson:
A Web-Based Atlas Combining MRI and Histology of the Squirrel Monkey Brain. Neuroinformatics 17(1): 131-145 (2019) - [j48]Shikha Chaganti, Louise A. Mawn, Hakmook Kang, Josephine Egan, Susan M. Resnick, Lori L. Beason-Held, Bennett A. Landman, Thomas A. Lasko:
Electronic Medical Record Context Signatures Improve Diagnostic Classification Using Medical Image Computing. IEEE J. Biomed. Health Informatics 23(5): 2052-2062 (2019) - [j47]Yuankai Huo, Zhoubing Xu, Hyeonsoo Moon, Shunxing Bao, Albert Assad, Tamara K. Moyo, Michael R. Savona, Richard G. Abramson, Bennett A. Landman:
SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth. IEEE Trans. Medical Imaging 38(4): 1016-1025 (2019) - [j46]Yuankai Huo, Zhoubing Xu, Shunxing Bao, Camilo Bermudez, Hyeonsoo Moon, Prasanna Parvathaneni, Tamara K. Moyo, Michael R. Savona, Albert Assad, Richard G. Abramson, Bennett A. Landman:
Splenomegaly Segmentation on Multi-Modal MRI Using Deep Convolutional Networks. IEEE Trans. Medical Imaging 38(5): 1185-1196 (2019) - [c100]Vishwesh Nath, Kurt G. Schilling, Samuel Remedios, Roza G. Bayrak, Yurui Gao, Justin A. Blaber, Yuankai Huo, Bennett A. Landman, Adam W. Anderson:
Learning 3D White Matter Microstructure from 2D Histology. ISBI 2019: 186-190 - [c99]Yurui Gao, Kurt Schilling, Iwona Stepniewska, Guozhen Luo, Bennett A. Landman, Hong Yu, Daniel O. Claassen, Benoit M. Dawant, Adam W. Anderson:
Quantitative assessment of dMRI-based dentate-rubro-thalamic tractography in squirrel monkey. Biomedical Applications in Molecular, Structural, and Functional Imaging 2019: 109530F - [c98]Shikha Chaganti, Camilo Bermudez, Louise A. Mawn, Thomas A. Lasko, Bennett A. Landman:
Contextual Deep Regression Network for Volume Estimation in Orbital CT. MICCAI (6) 2019: 104-111 - [c97]Riqiang Gao, Yuankai Huo, Shunxing Bao, Yucheng Tang, Sanja L. Antic, Emily S. Epstein, Aneri B. Balar, Steve Deppen, Alexis B. Paulson, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman:
Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection. MLMI@MICCAI 2019: 310-318 - [c96]Prasanna Parvathaneni, Shunxing Bao, Vishwesh Nath, Neil D. Woodward, Daniel O. Claassen, Carissa J. Cascio, David H. Zald, Yuankai Huo, Bennett A. Landman, Ilwoo Lyu:
Cortical Surface Parcellation Using Spherical Convolutional Neural Networks. MICCAI (3) 2019: 501-509 - [c95]Vishwesh Nath, Ilwoo Lyu, Kurt G. Schilling, Prasanna Parvathaneni, Colin B. Hansen, Yuankai Huo, Vaibhav A. Janve, Yurui Gao, Iwona Stepniewska, Adam W. Anderson, Bennett A. Landman:
Enabling Multi-shell b-Value Generalizability of Data-Driven Diffusion Models with Deep SHORE. MICCAI (3) 2019: 573-581 - [c94]Vishwesh Nath, Samuel Remedios, Prasanna Parvathaneni, Colin B. Hansen, Roza G. Bayrak, Camilo Bermudez, Justin A. Blaber, Kurt G. Schilling, Vaibhav A. Janve, Yurui Gao, Yuankai Huo, Ilwoo Lyu, Owen A. Williams, Susan M. Resnick, Lori L. Beason-Held, Baxter P. Rogers, Iwona Stepniewska, Adam W. Anderson, Bennett A. Landman:
Harmonizing 1.5T/3T diffusion weighted MRI through development of deep learning stabilized microarchitecture estimators. Image Processing 2019: 109490O - [c93]Samuel Remedios, Snehashis Roy, Justin A. Blaber, Camilo Bermudez, Vishwesh Nath, Mayur B. Patel, John A. Butman, Bennett A. Landman, Dzung L. Pham:
Distributed deep learning for robust multi-site segmentation of CT imaging after traumatic brain injury. Image Processing 2019: 109490A - [c92]Jiachen Wang, Riqiang Gao, Yuankai Huo, Shunxing Bao, Yunxi Xiong, Sanja L. Antic, Travis J. Osterman, Pierre P. Massion, Bennett A. Landman:
Lung cancer detection using co-learning from chest CT images and clinical demographics. Image Processing 2019: 109491G - [c91]Cailey I. Kerley, Yuankai Huo, Shikha Chaganti, Shunxing Bao, Mayur B. Patel, Bennett A. Landman:
Montage based 3D medical image retrieval from traumatic brain injury cohort using deep convolutional neural network. Image Processing 2019: 109492U - [c90]Yunxi Xiong, Yuankai Huo, Jiachen Wang, Larry Taylor Davis, Maureen McHugo, Bennett A. Landman:
Reproducibility evaluation of SLANT whole brain segmentation across clinical magnetic resonance imaging protocols. Image Processing 2019: 109492V - [c89]Yucheng Tang, Yuankai Huo, Yunxi Xiong, Hyeonsoo Moon, Albert Assad, Tamara K. Moyo, Michael R. Savona, Richard G. Abramson, Bennett A. Landman:
Improving splenomegaly segmentation by learning from heterogeneous multi-source labels. Image Processing 2019: 1094908 - [c88]Yuankai Huo, James G. Terry, Jiachen Wang, Vishwesh Nath, Camilo Bermudez, Shunxing Bao, Prasanna Parvathaneni, John Jeffrey Carr, Bennett A. Landman:
Coronary calcium detection using 3D attention identical dual deep network based on weakly supervised learning. Image Processing 2019: 1094917 - [c87]Camilo Bermudez, William Rodriguez, Yuankai Huo, Allison E. Hainline, Rui Li, Robert Shults, Pierre D. D'Haese, Peter E. Konrad, Benoit M. Dawant, Bennett A. Landman:
Towards machine learning prediction of deep brain stimulation (DBS) intra-operative efficacy maps. Image Processing 2019: 1094922 - [e3]Elsa D. Angelini, Bennett A. Landman:
Medical Imaging 2019: Image Processing, San Diego, California, United States, 16-21 February 2019. SPIE Proceedings 10949, SPIE 2019 [contents] - [i35]Yunxi Xiong, Yuankai Huo, Jiachen Wang, Larry Taylor Davis, Maureen McHugo, Bennett A. Landman:
Reproducibility Evaluation of SLANT Whole Brain Segmentation Across Clinical Magnetic Resonance Imaging Protocols. CoRR abs/1901.02040 (2019) - [i34]Jiachen Wang, Riqiang Gao, Yuankai Huo, Shunxing Bao, Yunxi Xiong, Sanja Antic, Travis Osterman, Pierre P. Massion, Bennett A. Landman:
Lung Cancer Detection using Co-learning from Chest CT Images and Clinical Demographics. CoRR abs/1902.08236 (2019) - [i33]Amber L. Simpson, Michela Antonelli, Spyridon Bakas, Michel Bilello, Keyvan Farahani, Bram van Ginneken, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern H. Menze, Olaf Ronneberger, Ronald M. Summers, Patrick Bilic, Patrick Ferdinand Christ, Richard K. G. Do, Marc Gollub, Jennifer Golia-Pernicka, Stephan Heckers, William R. Jarnagin, Maureen McHugo, Sandy Napel, Eugene Vorontsov, Lena Maier-Hein, M. Jorge Cardoso:
A large annotated medical image dataset for the development and evaluation of segmentation algorithms. CoRR abs/1902.09063 (2019) - [i32]Samuel Remedios, Snehashis Roy, Justin A. Blaber, Camilo Bermudez, Vishwesh Nath, Mayur B. Patel, John A. Butman, Bennett A. Landman, Dzung L. Pham:
Distributed deep learning for robust multi-site segmentation of CT imaging after traumatic brain injury. CoRR abs/1903.04207 (2019) - [i31]Yuankai Huo, Zhoubing Xu, Yunxi Xiong, Katherine Aboud, Prasanna Parvathaneni, Shunxing Bao, Camilo Bermudez, Susan M. Resnick, Laurie E. Cutting, Bennett A. Landman:
3D Whole Brain Segmentation using Spatially Localized Atlas Network Tiles. CoRR abs/1903.12152 (2019) - [i30]Yuankai Huo, James G. Terry, Jiachen Wang, Sangeeta Nair, Thomas A. Lasko, Barry I. Freedman, John Jeffrey Carr, Bennett A. Landman:
Fully Automatic Liver Attenuation Estimation Combing CNN Segmentation and Morphological Operations. CoRR abs/1906.09549 (2019) - [i29]Vishwesh Nath, Ilwoo Lyu, Kurt G. Schilling, Prasanna Parvathaneni, Colin B. Hansen, Yucheng Tang, Yuankai Huo, Vaibhav A. Janve, Yurui Gao, Iwona Stepniewska, Adam W. Anderson, Bennett A. Landman:
Enabling Multi-Shell b-Value Generalizability of Data-Driven Diffusion Models with Deep SHORE. CoRR abs/1907.06319 (2019) - [i28]Camilo Bermudez, Justin A. Blaber, Samuel W. Remedios, Jess E. Reynolds, Catherine Lebel, Maureen McHugo, Stephan Heckers, Yuankai Huo, Bennett A. Landman:
Generalizing Deep Whole Brain Segmentation for Pediatric and Post-Contrast MRI with Augmented Transfer Learning. CoRR abs/1908.04702 (2019) - [i27]Riqiang Gao, Yuankai Huo, Shunxing Bao, Yucheng Tang, Sanja L. Antic, Emily S. Epstein, Aneri B. Balar, Steve Deppen, Alexis B. Paulson, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman:
Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection. CoRR abs/1909.05321 (2019) - [i26]Lena Maier-Hein, Annika Reinke, Michal Kozubek, Anne L. Martel, Tal Arbel, Matthias Eisenmann, Allan Hanbury, Pierre Jannin, Henning Müller, Sinan Onogur, Julio Saez-Rodriguez, Bram van Ginneken, Annette Kopp-Schneider, Bennett A. Landman:
BIAS: Transparent reporting of biomedical image analysis challenges. CoRR abs/1910.04071 (2019) - [i25]Manuel Wiesenfarth, Annika Reinke, Bennett A. Landman, Manuel Jorge Cardoso, Lena Maier-Hein, Annette Kopp-Schneider:
Methods and open-source toolkit for analyzing and visualizing challenge results. CoRR abs/1910.05121 (2019) - [i24]Ho Hin Lee, Yucheng Tang, Olivia Tang, Yuchen Xu, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman:
Semi-Supervised Multi-Organ Segmentation through Quality Assurance Supervision. CoRR abs/1911.05113 (2019) - [i23]Riqiang Gao, Lingfeng Li, Yucheng Tang, Sanja L. Antic, Alexis B. Paulson, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman:
Deep Multi-task Prediction of Lung Cancer and Cancer-free Progression from Censored Heterogenous Clinical Imaging. CoRR abs/1911.05115 (2019) - [i22]Samuel W. Remedios, Zihao Wu, Camilo Bermudez, Cailey I. Kerley, Snehashis Roy, Mayur B. Patel, John A. Butman, Bennett A. Landman, Dzung L. Pham:
Extracting 2D weak labels from volume labels using multiple instance learning in CT hemorrhage detection. CoRR abs/1911.05650 (2019) - [i21]Yucheng Tang, Ho Hin Lee, Yuchen Xu, Olivia Tang, Yunqiang Chen, Dashan Gao, Shizhong Han, Riqiang Gao, Camilo Bermudez, Michael R. Savona, Richard G. Abramson, Yuankai Huo, Bennett A. Landman:
Contrast Phase Classification with a Generative Adversarial Network. CoRR abs/1911.06395 (2019) - [i20]Vishwesh Nath, Kurt G. Schilling, Colin B. Hansen, Prasanna Parvathaneni, Allison E. Hainline, Camilo Bermudez, Andrew J. Plassard, Vaibhav A. Janve, Yurui Gao, Justin A. Blaber, Iwona Stepniewska, Adam W. Anderson, Bennett A. Landman:
Deep Learning Captures More Accurate Diffusion Fiber Orientations Distributions than Constrained Spherical Deconvolution. CoRR abs/1911.07927 (2019) - [i19]Yuankai Huo, Yucheng Tang, Yunqiang Chen, Dashan Gao, Shizhong Han, Shunxing Bao, Smita De, James G. Terry, John Jeffrey Carr, Richard G. Abramson, Bennett A. Landman:
Stochastic tissue window normalization of deep learning on computed tomography. CoRR abs/1912.00420 (2019) - [i18]Cailey I. Kerley, Kurt G. Schilling, Justin A. Blaber, Beth Miller, Allen T. Newton, Adam W. Anderson, Bennett A. Landman, Tonia S. Rex:
MRI correlates of chronic symptoms in mild traumatic brain injury. CoRR abs/1912.04116 (2019) - [i17]Yiyuan Yang, Riqiang Gao, Yucheng Tang, Sanja L. Antic, Steve Deppen, Yuankai Huo, Kim L. Sandler, Pierre P. Massion, Bennett A. Landman:
Internal-transfer Weighting of Multi-task Learning for Lung Cancer Detection. CoRR abs/1912.07167 (2019) - 2018
- [j45]Steve G. Langer, George Shih, Paul G. Nagy, Bennett A. Landman:
Collaborative and Reproducible Research: Goals, Challenges, and Strategies. J. Digit. Imaging 31(3): 275-282 (2018) - [j44]Yuankai Huo, Justin A. Blaber, Stephen M. Damon, Brian D. Boyd, Shunxing Bao, Prasanna Parvathaneni, Camilo Bermudez, Shikha Chaganti, Vishwesh Nath, Jasmine M. Greer, Ilwoo Lyu, William R. French, Allen T. Newton, Baxter P. Rogers, Bennett A. Landman:
Towards Portable Large-Scale Image Processing with High-Performance Computing. J. Digit. Imaging 31(3): 304-314 (2018) - [j43]Kurt G. Schilling, Vaibhav A. Janve, Yurui Gao, Iwona Stepniewska, Bennett A. Landman, Adam W. Anderson:
Histological validation of diffusion MRI fiber orientation distributions and dispersion. NeuroImage 165: 200-221 (2018) - [j42]Yurui Gao, Kurt G. Schilling, Iwona Stepniewska, Andrew J. Plassard, Ann S. Choe, Xia Li, Bennett A. Landman, Adam W. Anderson:
Tests of cortical parcellation based on white matter connectivity using diffusion tensor imaging. NeuroImage 170: 321-331 (2018) - [j41]Yuankai Huo, Jiaqi Liu, Zhoubing Xu, Robert L. Harrigan, Albert Assad, Richard G. Abramson, Bennett A. Landman:
Robust Multicontrast MRI Spleen Segmentation for Splenomegaly Using Multi-Atlas Segmentation. IEEE Trans. Biomed. Eng. 65(2): 336-343 (2018) - [j40]Ilwoo Lyu, Sun Hyung Kim, Neil D. Woodward, Martin A. Styner, Bennett A. Landman:
TRACE: A Topological Graph Representation for Automatic Sulcal Curve Extraction. IEEE Trans. Medical Imaging 37(7): 1653-1663 (2018) - [c86]Shunxing Bao, Prasanna Parvathaneni, Yuankai Huo, Yogesh D. Barve, Andrew J. Plassard, Yuang Yao, Hongyang Sun, Ilwoo Lyu, David H. Zald, Bennett A. Landman, Aniruddha S. Gokhale:
Technology Enablers for Big Data, Multi-Stage Analysis in Medical Image Processing. IEEE BigData 2018: 1337-1346 - [c85]Yuankai Huo, Zhoubing Xu, Shunxing Bao, Albert Assad, Richard G. Abramson, Bennett A. Landman:
Adversarial synthesis learning enables segmentation without target modality ground truth. ISBI 2018: 1217-1220 - [c84]Yurui Gao, Kurt G. Schilling, Iwona Stepniewska, Junzhong Xu, Bennett A. Landman, Benoit M. Dawant, Adam W. Anderson:
Tests of clustering thalamic nuclei based on various dMRI models in the squirrel monkey brain. Biomedical Applications in Molecular, Structural, and Functional Imaging 2018: 1057805 - [c83]Sandra González-Villà, Yuankai Huo, Arnau Oliver, Xavier Lladó, Bennett A. Landman:
Multi-atlas Parcellation in the Presence of Lesions: Application to Multiple Sclerosis. Patch-MI@MICCAI 2018: 104-113 - [c82]Annika Reinke, Matthias Eisenmann, Sinan Onogur, Marko Stankovic, Patrick Scholz, Peter M. Full, Hrvoje Bogunovic, Bennett A. Landman, Oskar Maier, Bjoern H. Menze, Gregory C. Sharp, Korsuk Sirinukunwattana, Stefanie Speidel, Fons van der Sommen, Guoyan Zheng, Henning Müller, Michal Kozubek, Tal Arbel, Andrew P. Bradley, Pierre Jannin, Annette Kopp-Schneider, Lena Maier-Hein:
How to Exploit Weaknesses in Biomedical Challenge Design and Organization. MICCAI (4) 2018: 388-395 - [c81]Yuankai Huo, Zhoubing Xu, Katherine Aboud, Prasanna Parvathaneni, Shunxing Bao, Camilo Bermudez, Susan M. Resnick, Laurie E. Cutting, Bennett A. Landman:
Spatially Localized Atlas Network Tiles Enables 3D Whole Brain Segmentation from Limited Data. MICCAI (3) 2018: 698-705 - [c80]Zhoubing Xu, Yuankai Huo, Jin Hyeong Park, Bennett A. Landman, Andy Milkowski, Sasa Grbic, Shaohua Kevin Zhou:
Less is More: Simultaneous View Classification and Landmark Detection for Abdominal Ultrasound Images. MICCAI (2) 2018: 711-719 - [c79]Ilwoo Lyu, Martin A. Styner, Bennett A. Landman:
Hierarchical Spherical Deformation for Shape Correspondence. MICCAI (1) 2018: 853-861 - [c78]Shikha Chaganti, Bennett A. Landman:
Quadratic: quality of dice in registration circuits. Image Processing 2018: 105740P - [c77]Vishwesh Nath, Kurt G. Schilling, Allison E. Hainline, Prasanna Parvathaneni, Justin A. Blaber, Ilwoo Lyu, Adam W. Anderson, Hakmook Kang, Allen T. Newton, Baxter P. Rogers, Bennett A. Landman:
SHARD: spherical harmonic-based robust outlier detection for HARDI methods. Image Processing 2018: 105740X - [c76]Camilo Bermudez, Andrew J. Plassard, Larry T. Davis, Allen T. Newton, Susan M. Resnick, Bennett A. Landman:
Learning implicit brain MRI manifolds with deep learning. Image Processing 2018: 105741L - [c75]Meg F. Bobo, Shunxing Bao, Yuankai Huo, Yuang Yao, Jack Virostko, Andrew J. Plassard, Ilwoo Lyu, Albert Assad, Richard G. Abramson, Melissa A. Hilmes, Bennett A. Landman:
Fully convolutional neural networks improve abdominal organ segmentation. Image Processing 2018: 105742V - [c74]Ilwoo Lyu, Hakmook Kang, Neil D. Woodward, Bennett A. Landman:
Sulcal depth-based cortical shape analysis in normal healthy control and schizophrenia groups. Image Processing 2018: 1057402 - [c73]Prasanna Parvathaneni, Ilwoo Lyu, Yuankai Huo, Justin A. Blaber, Allison E. Hainline, Hakmook Kang, Neil D. Woodward, Bennett A. Landman:
Constructing statistically unbiased cortical surface templates using feature-space covariance. Image Processing 2018: 1057406 - [c72]Yuankai Huo, Zhoubing Xu, Shunxing Bao, Camilo Bermudez, Andrew J. Plassard, Jiaqi Liu, Yuang Yao, Albert Assad, Richard G. Abramson, Bennett A. Landman:
Splenomegaly segmentation using global convolutional kernels and conditional generative adversarial networks. Image Processing 2018: 1057409 - [c71]Allison E. Hainline, Vishwesh Nath, Prasanna Parvathaneni, Justin A. Blaber, Baxter P. Rogers, Allen T. Newton, Jeffrey Luci, Heidi Edmonson, Hakmook Kang, Bennett A. Landman:
Evaluation of inter-site bias and variance in diffusion-weighted MRI. Image Processing 2018: 1057413 - [c70]Yuankai Huo, Shunxing Bao, Prasanna Parvathaneni, Bennett A. Landman:
Improved stability of whole brain surface parcellation with multi-atlas segmentation. Image Processing 2018: 1057438 - [e2]Danail Stoyanov, Zeike Taylor, Seyed Mostafa Kia, Ipek Oguz, Mauricio Reyes, Anne L. Martel, Lena Maier-Hein, Andre F. Marquand, Edouard Duchesnay, Tommy Löfstedt, Bennett A. Landman, M. Jorge Cardoso, Carlos A. Silva, Sérgio Pereira, Raphael Meier:
Understanding and Interpreting Machine Learning in Medical Image Computing Applications - First International Workshops MLCN 2018, DLF 2018, and iMIMIC 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16-20, 2018, Proceedings. Lecture Notes in Computer Science 11038, Springer 2018, ISBN 978-3-030-02627-1 [contents] - [e1]Elsa D. Angelini, Bennett A. Landman:
Medical Imaging 2018: Image Processing, Houston, Texas, United States, 10-15 February 2018. SPIE Proceedings 10574, SPIE 2018, ISBN 9781510616370 [contents] - [i16]Camilo Bermudez, Andrew J. Plassard, Larry T. Davis, Allen T. Newton, Susan M. Resnick, Bennett A. Landman:
Learning Implicit Brain MRI Manifolds with Deep Learning. CoRR abs/1801.01847 (2018) - [i15]Zhoubing Xu, Yuankai Huo, Jin Hyeong Park, Bennett A. Landman, Andy Milkowski, Sasa Grbic, Shaohua Kevin Zhou:
Less is More: Simultaneous View Classification and Landmark Detection for Abdominal Ultrasound Images. CoRR abs/1805.10376 (2018) - [i14]Yuankai Huo, Zhoubing Xu, Katherine Aboud, Prasanna Parvathaneni, Shunxing Bao, Camilo Bermudez, Susan M. Resnick, Laurie E. Cutting, Bennett A. Landman:
Spatially Localized Atlas Network Tiles Enables 3D Whole Brain Segmentation from Limited Data. CoRR abs/1806.00546 (2018) - [i13]Lena Maier-Hein, Matthias Eisenmann, Annika Reinke, Sinan Onogur, Marko Stankovic, Patrick Scholz, Tal Arbel, Hrvoje Bogunovic, Andrew P. Bradley, Aaron Carass, Carolin Feldmann, Alejandro F. Frangi, Peter M. Full, Bram van Ginneken, Allan Hanbury, Katrin Honauer, Michal Kozubek, Bennett A. Landman, Keno März, Oskar Maier, Klaus H. Maier-Hein, Bjoern H. Menze, Henning Müller, Peter F. Neher, Wiro J. Niessen, Nasir M. Rajpoot, Gregory C. Sharp, Korsuk Sirinukunwattana, Stefanie Speidel, Christian Stock, Danail Stoyanov, Abdel Aziz Taha, Fons van der Sommen, Ching-Wei Wang, Marc-André Weber, Guoyan Zheng, Pierre Jannin, Annette Kopp-Schneider:
Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions. CoRR abs/1806.02051 (2018) - [i12]Yuankai Huo, Katherine Swett, Susan M. Resnick, Laurie E. Cutting, Bennett A. Landman:
Data-driven Probabilistic Atlases Capture Whole-brain Individual Variation. CoRR abs/1806.02300 (2018) - [i11]Vishwesh Nath, Prasanna Parvathaneni, Colin B. Hansen, Allison E. Hainline, Camilo Bermudez, Samuel Remedios, Justin A. Blaber, Kurt G. Schilling, Ilwoo Lyu, Vaibhav A. Janve, Yurui Gao, Iwona Stepniewska, Baxter P. Rogers, Allen T. Newton, Larry Taylor Davis, Jeffrey Luci, Adam W. Anderson, Bennett A. Landman:
Inter-Scanner Harmonization of High Angular Resolution DW-MRI using Null Space Deep Learning. CoRR abs/1810.04260 (2018) - [i10]Yuankai Huo, Zhoubing Xu, Hyeonsoo Moon, Shunxing Bao, Albert Assad, Tamara K. Moyo, Michael R. Savona, Richard G. Abramson, Bennett A. Landman:
SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth. CoRR abs/1810.06498 (2018) - [i9]Yuankai Huo, Zhoubing Xu, Shunxing Bao, Camilo Bermudez, Hyeonsoo Moon, Prasanna Parvathaneni, Tamara K. Moyo, Michael R. Savona, Albert Assad, Richard G. Abramson, Bennett A. Landman:
Splenomegaly Segmentation on Multi-modal MRI using Deep Convolutional Networks. CoRR abs/1811.04045 (2018) - [i8]Yuankai Huo, James G. Terry, Jiachen Wang, Vishwesh Nath, Camilo Bermudez, Shunxing Bao, Prasanna Parvathaneni, John Jeffrey Carr, Bennett A. Landman:
Coronary Calcium Detection using 3D Attention Identical Dual Deep Network Based on Weakly Supervised Learning. CoRR abs/1811.04289 (2018) - [i7]Camilo Bermudez, William Rodriguez, Yuankai Huo, Allison E. Hainline, Rui Li, Robert Shults, Pierre D. D'Haese, Peter E. Konrad, Benoit M. Dawant, Bennett A. Landman:
Towards Machine Learning Prediction of Deep Brain Stimulation (DBS) Intra-operative Efficacy Maps. CoRR abs/1811.10415 (2018) - [i6]Cailey I. Kerley, Yuankai Huo, Shikha Chaganti, Shunxing Bao, Mayur B. Patel, Bennett A. Landman:
Montage based 3D Medical Image Retrieval from Traumatic Brain Injury Cohort using Deep Convolutional Neural Network. CoRR abs/1812.04118 (2018) - 2017
- [j39]Victoria Villalta-Gil, Kendra E. Hinton, Bennett A. Landman, Benjamin C. Yvernault, Scott F. Perkins, Allison S. Katsantonis, Courtney L. Sellani, Benjamin B. Lahey, David H. Zald:
Convergent individual differences in visual cortices, but not the amygdala across standard amygdalar fMRI probe tasks. NeuroImage 146: 312-319 (2017) - [j38]Ferran Prados, John Ashburner, Claudia Blaiotta, Tom Brosch, Julio Carballido-Gamio, Manuel Jorge Cardoso, Benjamin N. Conrad, Esha Datta, Gergely Dávid, Benjamin De Leener, Sara M. Dupont, Patrick Freund, Claudia A. M. Gandini Wheeler-Kingshott, Francesco Grussu, Roland G. Henry, Bennett A. Landman, Emil Ljungberg, Bailey Lyttle, Sébastien Ourselin, Nico Papinutto, Salvatore Saporito, Regina Schlaeger, Seth A. Smith, Paul E. Summers, Roger C. Tam, Marios C. Yiannakas, Alyssa H. Zhu, Julien Cohen-Adad:
Spinal cord grey matter segmentation challenge. NeuroImage 152: 312-329 (2017) - [j37]Kurt Schilling, Yurui Gao, Iwona Stepniewska, Tung-Lin Wu, Feng Wang, Bennett A. Landman, John C. Gore, Li Min Chen, Adam W. Anderson:
The VALiDATe29 MRI Based Multi-Channel Atlas of the Squirrel Monkey Brain. Neuroinformatics 15(4): 321-331 (2017) - [c69]Shunxing Bao, Bennett A. Landman, Aniruddha S. Gokhale:
Algorithmic Enhancements to Big Data Computing Frameworks for Medical Image Processing. IC2E 2017: 13-16 - [c68]Shunxing Bao, Andrew J. Plassard, Bennett A. Landman, Aniruddha S. Gokhale:
Cloud Engineering Principles and Technology Enablers for Medical Image Processing-as-a-Service. IC2E 2017: 127-137 - [c67]Justin S. Paul, Andrew J. Plassard, Bennett A. Landman, Daniel Fabbri:
Deep learning for brain tumor classification. Biomedical Applications in Molecular, Structural, and Functional Imaging 2017: 1013710 - [c66]Yuankai Huo, Susan M. Resnick, Bennett A. Landman:
4D Multi-atlas Label Fusion Using Longitudinal Images. Patch-MI@MICCAI 2017: 3-11 - [c65]Peijun Hu, Yuankai Huo, Dexing Kong, John Jeffrey Carr, Richard G. Abramson, Katherine G. Hartley, Bennett A. Landman:
Automated Characterization of Body Composition and Frailty with Clinically Acquired CT. MSKI@MICCAI 2017: 25-35 - [c64]Yuankai Huo, Vaughn Braxton, S. Duke Herrell, Bennett A. Landman, Smita De:
Automated Characterization of Pyelocalyceal Anatomy Using CT Urograms to Aid in Management of Kidney Stones. CARE/CLIP@MICCAI 2017: 99-107 - [c63]Shikha Chaganti, Jamie R. Robinson, Camilo Bermudez, Thomas A. Lasko, Louise A. Mawn, Bennett A. Landman:
EMR-Radiological Phenotypes in Diseases of the Optic Nerve and Their Association with Visual Function. DLMIA/ML-CDS@MICCAI 2017: 373-381 - [c62]Prasanna Parvathaneni, Baxter P. Rogers, Yuankai Huo, Kurt Schilling, Allison E. Hainline, Adam W. Anderson, Neil D. Woodward, Bennett A. Landman:
Gray Matter Surface Based Spatial Statistics (GS-BSS) in Diffusion Microstructure. MICCAI (1) 2017: 638-646 - [c61]Yuankai Huo, Jiaqi Liu, Zhoubing Xu, Robert L. Harrigan, Albert Assad, Richard G. Abramson, Bennett A. Landman:
Multi-atlas segmentation enables robust multi-contrast MRI spleen segmentation for splenomegaly. Image Processing 2017: 101330A - [c60]Vishwesh Nath, Kurt G. Schilling, Justin A. Blaber, Zhaohua Ding, Adam W. Anderson, Bennett A. Landman:
Comparison of multi-fiber reproducibility of PAS-MRI and Q-ball with empirical multiple b-value HARDI. Image Processing 2017: 101330L - [c59]Andrew J. Plassard, Pierre-François D'Haese, Srivatsan Pallavaram, Allen T. Newton, Daniel O. Claassen, Benoit M. Dawant, Bennett A. Landman:
Multi-modal and targeted imaging improves automated mid-brain segmentation. Image Processing 2017: 101330J - [c58]Kurt G. Schilling, Vishwesh Nath, Justin A. Blaber, Robert L. Harrigan, Zhaohua Ding, Adam W. Anderson, Bennett A. Landman:
Effects of b-value and number of gradient directions on diffusion MRI measures obtained with Q-ball imaging. Image Processing 2017: 101330N - [c57]Robert L. Harrigan, Alex K. Smith, Louise A. Mawn, Seth A. Smith, Bennett A. Landman:
Improved automatic optic nerve radius estimation from high resolution MRI. Image Processing 2017: 101331C - [c56]Xiuya Yao, Shikha Chaganti, Kunal P. Nabar, Katrina Nelson, Andrew J. Plassard, Robert L. Harrigan, Louise A. Mawn, Bennett A. Landman:
Structural-functional relationships between eye orbital imaging biomarkers and clinical visual assessments. Image Processing 2017: 101331F - [c55]Andrew J. Plassard, Maureen McHugo, Stephan Heckers, Bennett A. Landman:
Multi-scale hippocampal parcellation improves atlas-based segmentation accuracy. Image Processing 2017: 101332D - [c54]Jiaqi Liu, Yuankai Huo, Zhoubing Xu, Albert Assad, Richard G. Abramson, Bennett A. Landman:
Multi-atlas spleen segmentation on CT using adaptive context learning. Image Processing 2017: 1013309 - [i5]Yuankai Huo, Susan M. Resnick, Bennett A. Landman:
4D Multi-atlas Label Fusion using Longitudinal Images. CoRR abs/1708.08825 (2017) - [i4]Yuankai Huo, Zhoubing Xu, Shunxing Bao, Camilo Bermudez, Andrew J. Plassard, Jiaqi Liu, Yuang Yao, Albert Assad, Richard G. Abramson, Bennett A. Landman:
Splenomegaly Segmentation using Global Convolutional Kernels and Conditional Generative Adversarial Networks. CoRR abs/1712.00542 (2017) - [i3]Yuankai Huo, Shunxing Bao, Prasanna Parvathaneni, Bennett A. Landman:
Improved Stability of Whole Brain Surface Parcellation with Multi-Atlas Segmentation. CoRR abs/1712.00543 (2017) - [i2]Yuankai Huo, Zhoubing Xu, Shunxing Bao, Albert Assad, Richard G. Abramson, Bennett A. Landman:
Adversarial Synthesis Learning Enables Segmentation Without Target Modality Ground Truth. CoRR abs/1712.07695 (2017) - [i1]Shunxing Bao, Yuankai Huo, Prasanna Parvathaneni, Andrew J. Plassard, Camilo Bermudez, Yuang Yao, Ilwoo Lyu, Aniruddha S. Gokhale, Bennett A. Landman:
A Data Colocation Grid Framework for Big Data Medical Image Processing - Backend Design. CoRR abs/1712.08634 (2017) - 2016
- [j36]Robert L. Harrigan, Benjamin C. Yvernault, Brian D. Boyd, Stephen M. Damon, Kyla David Gibney, Benjamin N. Conrad, Nicholas S. Phillips, Baxter P. Rogers, Yurui Gao, Bennett A. Landman:
Vanderbilt University Institute of Imaging Science Center for Computational Imaging XNAT: A multimodal data archive and processing environment. NeuroImage 124: 1097-1101 (2016) - [j35]Kurt Schilling, Vaibhav A. Janve, Yurui Gao, Iwona Stepniewska, Bennett A. Landman, Adam W. Anderson:
Comparison of 3D orientation distribution functions measured with confocal microscopy and diffusion MRI. NeuroImage 129: 185-197 (2016) - [j34]Yuankai Huo, Andrew J. Plassard, Aaron Carass, Susan M. Resnick, Dzung L. Pham, Jerry L. Prince, Bennett A. Landman:
Consistent cortical reconstruction and multi-atlas brain segmentation. NeuroImage 138: 197-210 (2016) - [j33]Zhoubing Xu, Christopher P. Lee, Mattias P. Heinrich, Marc Modat, Daniel Rueckert, Sébastien Ourselin, Richard G. Abramson, Bennett A. Landman:
Evaluation of Six Registration Methods for the Human Abdomen on Clinically Acquired CT. IEEE Trans. Biomed. Eng. 63(8): 1563-1572 (2016) - [c53]Yuankai Huo, Katherine Aboud, Hakmook Kang, Laurie E. Cutting, Bennett A. Landman:
Mapping Lifetime Brain Volumetry with Covariate-Adjusted Restricted Cubic Spline Regression from Cross-Sectional Multi-site MRI. MICCAI (1) 2016: 81-88 - [c52]Yuankai Huo, Aaron Carass, Susan M. Resnick, Dzung L. Pham, Jerry L. Prince, Bennett A. Landman:
Combining multi-atlas segmentation with brain surface estimation. Image Processing 2016: 97840E - [c51]Zhoubing Xu, Rebeccah B. Baucom, Richard G. Abramson, Benjamin K. Poulose, Bennett A. Landman:
Whole abdominal wall segmentation using Augmented Active Shape Models (AASM) with multi-atlas label fusion and level set. Image Processing 2016: 97840U - [c50]Shikha Chaganti, Katrina Nelson, Kevin Mundy, Yifu Luo, Robert L. Harrigan, Steve Damon, Daniel Fabbri, Louise A. Mawn, Bennett A. Landman:
Structural functional associations of the orbit in thyroid eye disease: Kalman filters to track extraocular rectal muscles. Image Processing 2016: 97841G - [c49]Zhoubing Xu, Sahil A. Panjwani, Christopher P. Lee, Ryan P. Burke, Rebeccah B. Baucom, Benjamin K. Poulose, Richard G. Abramson, Bennett A. Landman:
Evaluation of body-wise and organ-wise registrations for abdominal organs. Image Processing 2016: 97841O - [c48]Andrew J. Plassard, Zhen Yang, Jerry L. Prince, Daniel O. Claassen, Bennett A. Landman:
Improving cerebellar segmentation with statistical fusion. Image Processing 2016: 97842R - [c47]Yurui Gao, Prasanna Parvathaneni, Kurt Schilling, Feng Wang, Iwona Stepniewska, Zhoubing Xu, Ann S. Choe, Zhaohua Ding, John C. Gore, Li Min Chen, Bennett A. Landman, Adam W. Anderson:
A 3D high resolution ex vivo white matter atlas of the common squirrel monkey (Saimiri sciureus) based on diffusion tensor imaging. Image Processing 2016: 97843K - [c46]Andrew J. Plassard, Robert L. Harrigan, Allen T. Newton, Swati D. Rane, Srivatsan Pallavaram, Pierre-François D'Haese, Benoit M. Dawant, Daniel O. Claassen, Bennett A. Landman:
On the fallacy of quantitative segmentation for T1-weighted MRI. Image Processing 2016: 978416 - [c45]Shikha Chaganti, Andrew J. Plassard, Laura Wilson, Miya A. Smith, Mayur B. Patel, Bennett A. Landman:
A Bayesian framework for early risk prediction in traumatic brain injury. Image Processing 2016: 978422 - 2015
- [j32]Zhoubing Xu, Ryan P. Burke, Christopher P. Lee, Rebeccah B. Baucom, Benjamin K. Poulose, Richard G. Abramson, Bennett A. Landman:
Efficient multi-atlas abdominal segmentation on clinically acquired CT with SIMPLE context learning. Medical Image Anal. 24(1): 18-27 (2015) - [j31]Andrew J. Asman, Yuankai Huo, Andrew J. Plassard, Bennett A. Landman:
Multi-atlas learner fusion: An efficient segmentation approach for large-scale data. Medical Image Anal. 26(1): 82-91 (2015) - [j30]Peter V. Kochunov, Neda Jahanshad, Daniel S. Marcus, Anderson M. Winkler, Emma Sprooten, Thomas E. Nichols, Susan N. Wright, L. Elliot Hong, Binish Patel, Timothy Behrens, Saâd Jbabdi, Jesper L. R. Andersson, Christophe Lenglet, Essa Yacoub, Steen Moeller, Eddie Auerbach, Kâmil Ugurbil, Stamatios N. Sotiropoulos, Rachel M. Brouwer, Bennett A. Landman, Hervé Lemaître, Anouk den Braber, Marcel P. Zwiers, Stuart J. Ritchie, Kimm van Hulzen, Laura Almasy, Joanne E. Curran, Greig I. de Zubicaray, Ravi Duggirala, Peter T. Fox:
Heritability of fractional anisotropy in human white matter: A comparison of Human Connectome Project and ENIGMA-DTI data. NeuroImage 111: 300-311 (2015) - [j29]Vijay K. Venkatraman, Christopher E. Gonzalez, Bennett A. Landman, Joshua Oon Soo Goh, David A. Reiter, Yang An, Susan M. Resnick:
Region of interest correction factors improve reliability of diffusion imaging measures within and across scanners and field strengths. NeuroImage 119: 406-416 (2015) - [c44]Peizhen Sun, Prasanna Parvathaneni, Kurt G. Schilling, Yurui Gao, Vaibhav A. Janve, Adam W. Anderson, Bennett A. Landman:
Integrating histology and MRI in the first digital brain of common squirrel monkey, Saimiri sciureus. Biomedical Applications in Molecular, Structural, and Functional Imaging 2015: 94171T - [c43]Judah E. S. Sklan, Andrew J. Plassard, Daniel Fabbri, Bennett A. Landman:
Toward content-based image retrieval with deep convolutional neural networks. Biomedical Applications in Molecular, Structural, and Functional Imaging 2015: 94172C - [c42]Ryan P. Burke, Zhoubing Xu, Christopher P. Lee, Rebeccah B. Baucom, Benjamin K. Poulose, Richard G. Abramson, Bennett A. Landman:
Multi-atlas segmentation for abdominal organs with Gaussian mixture models. Biomedical Applications in Molecular, Structural, and Functional Imaging 2015: 941707 - [c41]Peizhen Sun, Prasanna Parvathaneni, Kurt G. Schilling, Yurui Gao, Vaibhav A. Janve, Adam W. Anderson, Bennett A. Landman:
Erratum: Integrating histology and MRI in the first digital brain of common squirrel monkey, Saimiri sciureus. Biomedical Applications in Molecular, Structural, and Functional Imaging 2015: 941737 - [c40]Andrew J. Plassard, Patrick D. Kelly, Andrew J. Asman, Hakmook Kang, Mayur B. Patel, Bennett A. Landman:
Revealing latent value of clinically acquired CTs of traumatic brain injury through multi-atlas segmentation in a retrospective study of 1, 003 with external cross-validation. Image Processing 2015: 94130K - [c39]Zhoubing Xu, Ryan P. Burke, Christopher P. Lee, Rebeccah B. Baucom, Benjamin K. Poulose, Richard G. Abramson, Bennett A. Landman:
Efficient abdominal segmentation on clinically acquired CT with SIMPLE context learning. Image Processing 2015: 94130L - [c38]Christopher P. Lee, Zhoubing Xu, Ryan P. Burke, Rebeccah B. Baucom, Benjamin K. Poulose, Richard G. Abramson, Bennett A. Landman:
Evaluation of five image registration tools for abdominal CT: pitfalls and opportunities with soft anatomy. Image Processing 2015: 94131N - [c37]Andrew J. Plassard, Kendra E. Hinton, Vijay K. Venkatraman, Christopher E. Gonzalez, Susan M. Resnick, Bennett A. Landman:
Bootstrapping white matter segmentation, Eve++. Image Processing 2015: 94133E - [c36]Robert L. Harrigan, Andrew J. Plassard, Louise A. Mawn, Robert L. Galloway, Seth A. Smith, Bennett A. Landman:
Constructing a statistical atlas of the radii of the optic nerve and cerebrospinal fluid sheath in young healthy adults. Image Processing 2015: 941303 - 2014
- [j28]Andrew J. Asman, Frederick W. Bryan, Seth A. Smith, Daniel S. Reich, Bennett A. Landman:
Groupwise multi-atlas segmentation of the spinal cord's internal structure. Medical Image Anal. 18(3): 460-471 (2014) - [j27]Andrew J. Asman, Bennett A. Landman:
Hierarchical performance estimation in the statistical label fusion framework. Medical Image Anal. 18(7): 1070-1081 (2014) - [j26]Neda Jahanshad, Peter V. Kochunov, Emma Sprooten, René C. W. Mandl, Thomas E. Nichols, Laura Almasy, John Blangero, Rachel M. Brouwer, Joanne E. Curran, Greig I. de Zubicaray, Ravindranath Duggirala, Peter T. Fox, L. Elliot Hong, Bennett A. Landman, Nicholas G. Martin, Katie L. McMahon, Sarah E. Medland, Braxton D. Mitchell, Rene L. Olvera, Charles P. Peterson, John M. Starr, Jessika E. Sussmann, Arthur W. Toga, Joanna M. Wardlaw, Margaret J. Wright, Hilleke E. Hulshoff Pol, Mark E. Bastin, Andrew M. McIntosh, Ian J. Deary, Paul M. Thompson:
Corrigendum to "Multi-site genetic analysis of diffusion images and voxelwise heritability analysis: A pilot project of the ENIGMA-DTI working group" [NeuroImage 81 (2013) 455-469]. NeuroImage 90: 470-471 (2014) - [j25]Peter V. Kochunov, Neda Jahanshad, Emma Sprooten, Thomas E. Nichols, René C. W. Mandl, Laura Almasy, Tom Booth, Rachel M. Brouwer, Joanne E. Curran, Greig I. de Zubicaray, Rali Dimitrova, Ravindranath Duggirala, Peter T. Fox, L. Elliot Hong, Bennett A. Landman, Hervé Lemaître, Lorna M. Lopez, Nicholas G. Martin, Katie L. McMahon, Braxton D. Mitchell, Rene L. Olvera, Charles P. Peterson, John M. Starr, Jessika E. Sussmann, Arthur W. Toga, Joanna M. Wardlaw, Margaret J. Wright, Susan N. Wright:
Multi-site study of additive genetic effects on fractional anisotropy of cerebral white matter: Comparing meta and megaanalytical approaches for data pooling. NeuroImage 95: 136-150 (2014) - [j24]Rueben A. Banalagay, Kelsie Jade Covington, D. Mitchell Wilkes, Bennett A. Landman:
Resource Estimation in High Performance Medical Image Computing. Neuroinformatics 12(4): 563-573 (2014) - [j23]Benjamin C. Yvernault, Charles D. Theobald Jr., Jolinda C. Smith, Victoria Villalta, David H. Zald, Bennett A. Landman:
Validating DICOM Transcoding with an Open Multi-Format Resource. Neuroinformatics 12(4): 615-617 (2014) - [j22]Xue Yang, Hakmook Kang, Allen T. Newton, Bennett A. Landman:
Evaluation of Statistical Inference on Empirical Resting State fMRI. IEEE Trans. Biomed. Eng. 61(4): 1091-1099 (2014) - [j21]Yuan Liu, Peter E. Konrad, Joseph S. Neimat, Stephen B. Tatter, Hong Yu, Ryan D. Datteri, Bennett A. Landman, Jack H. Noble, Srivatsan Pallavaram, Benoit M. Dawant, Pierre-François D'Haese:
Multisurgeon, Multisite Validation of a Trajectory Planning Algorithm for Deep Brain Stimulation Procedures. IEEE Trans. Biomed. Eng. 61(9): 2479-2487 (2014) - [c35]Neda Jahanshad, Peter V. Kochunov, Thomas E. Nichols, Emma Sprooten, René C. W. Mandl, Laura Almasy, Rachel M. Brouwer, Joanne E. Curran, Greig I. de Zubicaray, Rali Dimitrova, Peter T. Fox, L. Elliot Hong, Bennett A. Landman, Hervé Lemaître, Lorna M. Lopez, Nicholas G. Martin, Katie L. McMahon, Braxton D. Mitchell, Rene L. Olvera, Charles P. Peterson, Jessika E. Sussmann, Arthur W. Toga, Joanna M. Wardlaw, Margaret J. Wright, Susan N. Wright, Mark E. Bastin, Andrew M. McIntosh, Dorret I. Boomsma, René S. Kahn, Anouk den Braber, Ian J. Deary, Hilleke E. Hulshoff Pol, Douglas Williamson, John Blangero, Dennis van 't Ent, David C. Glahn, Paul M. Thompson:
Combining meta- and mega- analytic approaches for multi-site diffusion imaging based genetic studies: From the ENIGMA-DTI working group. ISBI 2014: 1234-1238 - [c34]Zhoubing Xu, Andrew J. Asman, Peter L. Shanahan, Richard G. Abramson, Bennett A. Landman:
SIMPLE Is a Good Idea (and Better with Context Learning). MICCAI (1) 2014: 364-371 - [c33]Andrew J. Asman, Alexander S. Dagley, Bennett A. Landman:
Statistical label fusion with hierarchical performance models. Image Processing 2014: 90341E - [c32]Ryan D. Datteri, Andrew J. Asman, Bennett A. Landman, Benoit M. Dawant:
Applying the algorithm "assessing quality using image registration circuits" (AQUIRC) to multi-atlas segmentation. Image Processing 2014: 90341F - [c31]Swetasudha Panda, Andrew J. Asman, Michael P. DeLisi, Louise A. Mawn, Robert L. Galloway, Bennett A. Landman:
Robust optic nerve segmentation on clinically acquired CT. Image Processing 2014: 90341G - [c30]Mary Ellen Koran, Bo Li, Neda Jahanshad, Tricia A. Thornton-Wells, David C. Glahn, Paul M. Thompson, John Blangero, Thomas E. Nichols, Peter V. Kochunov, Bennett A. Landman:
On study design in neuroimaging heritability analyses. Image Processing 2014: 90342P - [c29]Zhoubing Xu, Bo Li, Swetasudha Panda, Andrew J. Asman, Kristen L. Merkle, Peter L. Shanahan, Richard G. Abramson, Bennett A. Landman:
Shape-constrained multi-atlas segmentation of spleen in CT. Image Processing 2014: 903446 - 2013
- [j20]Martha J. Holmes, Xue Yang, Bennett A. Landman, Zhaohua Ding, Hakmook Kang, Bassel Abou-Khalil, Hasan H. Sonmezturk, John C. Gore, Victoria L. Morgan:
Functional Networks in Temporal-Lobe Epilepsy: A Voxel-Wise Study of Resting-State Functional Connectivity and Gray-Matter Concentration. Brain Connect. 3(1): 22-30 (2013) - [j19]Andrew J. Asman, Bennett A. Landman:
Non-local statistical label fusion for multi-atlas segmentation. Medical Image Anal. 17(2): 194-208 (2013) - [j18]John A. Bogovic, Bruno M. Jedynak, Rachel Rigg, Annie Du, Bennett A. Landman, Jerry L. Prince, Sarah H. Ying:
Approaching expert results using a hierarchical cerebellum parcellation protocol for multiple inexpert human raters. NeuroImage 64: 616-629 (2013) - [j17]Neda Jahanshad, Peter V. Kochunov, Emma Sprooten, René C. W. Mandl, Thomas E. Nichols, Laura Almasy, John Blangero, Rachel M. Brouwer, Joanne E. Curran, Greig I. de Zubicaray, Ravindranath Duggirala, Peter T. Fox, L. Elliot Hong, Bennett A. Landman, Nicholas G. Martin, Katie McMahon, Sarah E. Medland, Braxton D. Mitchell, Rene L. Olvera, Charles P. Peterson, John M. Starr, Jessika E. Sussmann, Arthur W. Toga, Joanna M. Wardlaw, Margaret J. Wright, Hilleke E. Hulshoff Pol, Mark E. Bastin, Andrew M. McIntosh, Ian J. Deary, Paul M. Thompson:
Multi-site genetic analysis of diffusion images and voxelwise heritability analysis: A pilot project of the ENIGMA-DTI working group. NeuroImage 81: 455-469 (2013) - [j16]Peter V. Kochunov, Jac Charlesworth, Anderson M. Winkler, L. Elliot Hong, Thomas E. Nichols, Joanne E. Curran, Emma Sprooten, Neda Jahanshad, Paul M. Thompson, M. P. Johnson, Jack W. Kent Jr., Bennett A. Landman, Braxton D. Mitchell, S. A. Cole, Thomas D. Dyer, Eric K. Moses, H. H. H. Goring, Laura Almasy, Ravindranath Duggirala, Rene L. Olvera, David C. Glahn, John Blangero:
Transcriptomics of cortical gray matter thickness decline during normal aging. NeuroImage 82: 273-283 (2013) - [j15]Bennett A. Landman, John A. Bogovic, Aaron Carass, Min Chen, Snehashis Roy, Navid Shiee, Zhen Yang, Bhaskar Kishore, Dzung L. Pham, Pierre-Louis Bazin, Susan M. Resnick, Jerry L. Prince:
System for Integrated Neuroimaging Analysis and Processing of Structure. Neuroinformatics 11(1): 91-103 (2013) - [c28]Hakmook Kang, Xue Yang, Frederick W. Bryan, Christina M. Tripp, Bennett A. Landman:
Whole Brain Functional Connectivity Using Multi-scale Spatio-Spectral Random Effects Model. MBIA 2013: 170-179 - [c27]Andrew J. Asman, Seth A. Smith, Daniel S. Reich, Bennett A. Landman:
Robust GM/WM Segmentation of the Spinal Cord with Iterative Non-local Statistical Fusion. MICCAI (1) 2013: 759-767 - [c26]Andrew J. Asman, Michael P. DeLisi, Louise A. Mawn, Robert L. Galloway, Bennett A. Landman:
Robust non-local multi-atlas segmentation of the optic nerve. Image Processing 2013: 86691L - [c25]Zhoubing Xu, Wade M. Allen, Benjamin K. Poulose, Bennett A. Landman:
Automatic segmentation of abdominal wall in ventral hernia CT: a pilot study. Image Processing 2013: 86693T - 2012
- [j14]Bennett A. Landman, Andrew J. Asman, Andrew G. Scoggins, John A. Bogovic, Joshua A. Stein, Jerry L. Prince:
Foibles, follies, and fusion: Web-based collaboration for medical image labeling. NeuroImage 59(1): 530-539 (2012) - [j13]Bennett A. Landman, John A. Bogovic, Hanlin Wan, Fatma El Zahraa ElShahaby, Pierre-Louis Bazin, Jerry L. Prince:
Resolution of crossing fibers with constrained compressed sensing using diffusion tensor MRI. NeuroImage 59(3): 2175-2186 (2012) - [j12]Xue Yang, Carolyn B. Lauzon, Ciprian M. Crainiceanu, Brian C. Caffo, Susan M. Resnick, Bennett A. Landman:
Biological parametric mapping accounting for random regressors with regression calibration and model II regression. NeuroImage 62(3): 1761-1768 (2012) - [j11]Bennett A. Landman, Andrew J. Asman, Andrew G. Scoggins, John A. Bogovic, Fangxu Xing, Jerry L. Prince:
Robust Statistical Fusion of Image Labels. IEEE Trans. Medical Imaging 31(2): 512-522 (2012) - [j10]Andrew J. Asman, Bennett A. Landman:
Formulating Spatially Varying Performance in the Statistical Fusion Framework. IEEE Trans. Medical Imaging 31(6): 1326-1336 (2012) - [j9]Andrew J. Asman, Bennett A. Landman:
Correction to "Formulating Spatially Varying Performance in the Statistical Fusion Framework". IEEE Trans. Medical Imaging 31(7): 1505 (2012) - [c24]Zhoubing Xu, Andrew J. Asman, Eesha Singh, Lola B. Chambless, Reid Carleton Thompson, Bennett A. Landman:
Collaborative labeling of malignant glioma. ISBI 2012: 1148-1151 - [c23]Andrew J. Asman, Bennett A. Landman:
Out-of-atlas labeling: A multi-atlas approach to cancer segmentation. ISBI 2012: 1236-1239 - [c22]Bennett A. Landman, Xue Yang, Hakmook Kang:
Do We Really Need Robust and Alternative Inference Methods for Brain MRI? MBIA 2012: 77-93 - [c21]Xue Yang, Hakmook Kang, Allen T. Newton, Bennett A. Landman:
Quantitative Evaluation of Statistical Inference in Resting State Functional MRI. MICCAI (2) 2012: 246-253 - [c20]Andrew J. Asman, Bennett A. Landman:
Non-local STAPLE: An Intensity-Driven Multi-atlas Rater Model. MICCAI (3) 2012: 426-434 - [c19]Yuan Liu, Benoit M. Dawant, Srivatsan Pallavaram, Joseph S. Neimat, Peter E. Konrad, Pierre-François D'Haese, Ryan D. Datteri, Bennett A. Landman, Jack H. Noble:
A surgeon specific automatic path planning algorithm for deep brain stimulation. Image-Guided Procedures 2012: 83161D - [c18]Andrew J. Asman, Bennett A. Landman:
Simultaneous segmentation and statistical label fusion. Image Processing 2012: 83140Y - [c17]Carolyn B. Lauzon, Brian C. Caffo, Bennett A. Landman:
Towards automatic quantitative quality control for MRI. Image Processing 2012: 83140K - [c16]Zhoubing Xu, Andrew J. Asman, Bennett A. Landman:
Generalized statistical label fusion using multiple consensus levels. Image Processing 2012: 831411 - [c15]Xue Yang, Martha J. Holmes, Allen T. Newton, Victoria L. Morgan, Bennett A. Landman:
A comparison of distributional considerations with statistical analysis of resting state fMRI at 3T and 7T. Image Processing 2012: 831416 - [c14]Fangxu Xing, Andrew J. Asman, Jerry L. Prince, Bennett A. Landman:
Finding seeds for segmentation using statistical fusion. Image Processing 2012: 831430 - 2011
- [j8]Bennett A. Landman, Alan J. Huang, Aliya Gifford, Deepti S. Vikram, Issel Anne L. Lim, Jonathan A. D. Farrell, John A. Bogovic, Jun Hua, Min Chen, Samson Jarso, Seth A. Smith, Suresh Joel, Susumu Mori, James J. Pekar, Peter B. Barker, Jerry L. Prince, Peter C. M. van Zijl:
Multi-parametric neuroimaging reproducibility: A 3-T resource study. NeuroImage 54(4): 2854-2866 (2011) - [j7]Xue Yang, Lori L. Beason-Held, Susan M. Resnick, Bennett A. Landman:
Biological parametric mapping with robust and non-parametric statistics. NeuroImage 57(2): 423-430 (2011) - [j6]Andrew J. Asman, Bennett A. Landman:
Robust Statistical Label Fusion Through Consensus Level, Labeler Accuracy, and Truth Estimation (COLLATE). IEEE Trans. Medical Imaging 30(10): 1779-1794 (2011) - [c13]Andrew J. Asman, Bennett A. Landman:
Characterizing Spatially Varying Performance to Improve Multi-atlas Multi-label Segmentation. IPMI 2011: 85-96 - [c12]Xue Yang, Carolyn B. Lauzon, Ciprian M. Crainiceanu, Brian C. Caffo, Susan M. Resnick, Bennett A. Landman:
Accounting for Random Regressors: A Unified Approach to Multi-modality Imaging. MBIA 2011: 1-9 - [c11]Carolyn B. Lauzon, Andrew J. Asman, Ciprian M. Crainiceanu, Brian C. Caffo, Bennett A. Landman:
Assessment of Bias for MRI Diffusion Tensor Imaging Using SIMEX. MICCAI (2) 2011: 107-115 - [c10]Andrew J. Asman, Andrew G. Scoggins, Jerry L. Prince, Bennett A. Landman:
Foibles, follies, and fusion: assessment of statistical label fusion techniques for web-based collaborations using minimal training. Image Processing 2011: 79623G - [c9]Xue Yang, Lori L. Beason-Held, Susan M. Resnick, Bennett A. Landman:
Robust biological parametric mapping: an improved technique for multimodal brain image analysis. Image Processing 2011: 79623X - [c8]Fatma El Zahraa ElShahaby, Bennett A. Landman, Jerry L. Prince:
Effect of regularization parameter and scan time on crossing fibers with constrained compressed sensing. Image Processing 2011: 79624J - [c7]Fangxu Xing, Sahar Soleimanifard, Jerry L. Prince, Bennett A. Landman:
Statistical fusion of continuous labels: identification of cardiac landmarks. Image Processing 2011: 796206 - 2010
- [j5]Blake C. Lucas, John A. Bogovic, Aaron Carass, Pierre-Louis Bazin, Jerry L. Prince, Dzung L. Pham, Bennett A. Landman:
The Java Image Science Toolkit (JIST) for Rapid Prototyping and Publishing of Neuroimaging Software. Neuroinformatics 8(1): 5-17 (2010) - [j4]Blake C. Lucas, John A. Bogovic, Aaron Carass, Pierre-Louis Bazin, Jerry L. Prince, Dzung L. Pham, Bennett A. Landman:
Erratum to: The Java Image Science Toolkit (JIST) for Rapid Prototyping and Publishing of Neuroimaging Software. Neuroinformatics 8(1): 19 (2010) - [c6]Bennett A. Landman, John A. Bogovic, Jerry L. Prince:
Simultaneous truth and performance level estimation with incomplete, over-complete, and ancillary data. Image Processing 2010: 76231N - [c5]Bennett A. Landman, Hanlin Wan, John A. Bogovic, Pierre-Louis Bazin, Jerry L. Prince:
Resolution of crossing fibers with constrained compressed sensing using traditional diffusion tensor MRI. Image Processing 2010: 76231H - [c4]John A. Bogovic, Bennett A. Landman, Pierre-Louis Bazin, Jerry L. Prince:
Statistical fusion of surface labels provided by multiple raters. Image Processing 2010: 762344
2000 – 2009
- 2008
- [c3]Bennett A. Landman, Jonathan A. D. Farrell, Seth A. Smith, Peter A. Calabresi, Peter C. M. van Zijl, Jerry L. Prince:
Robust maximum likelihood estimation in Q-space MRI. ISBI 2008: 867-870 - [c2]John A. Bogovic, Aaron Carass, Jing Wan, Bennett A. Landman, Jerry L. Prince:
Automatically identifying white matter tracts using cortical labels. ISBI 2008: 895-898 - 2007
- [j3]Bennett A. Landman, Jonathan A. D. Farrell, Craig K. Jones, Seth A. Smith, Jerry L. Prince, Susumu Mori:
Effects of diffusion weighting schemes on the reproducibility of DTI-derived fractional anisotropy, mean diffusivity, and principal eigenvector measurements at 1.5T. NeuroImage 36(4): 1123-1138 (2007) - [c1]Bennett A. Landman, Pierre-Louis Bazin, Jerry L. Prince:
Diffusion Tensor Estimation by Maximizing Rician Likelihood. ICCV 2007: 1-8 - 2006
- [j2]George Fein, Bennett A. Landman, Hoang Tran, Jerome Barakos, Kirk Moon, Victoria Di Sclafani, Robert Shumway:
Statistical parametric mapping of brain morphology: Sensitivity is dramatically increased by using brain-extracted images as inputs. NeuroImage 30(4): 1187-1195 (2006) - [j1]George Fein, Bennett A. Landman, Hoang Tran, Shannon McGillivray, Peter Finn, Jerome Barakos, Kirk Moon:
Brain atrophy in long-term abstinent alcoholics who demonstrate impairment on a simulated gambling task. NeuroImage 32(3): 1465-1471 (2006)
Coauthor Index
Sanja Antic
aka: Sanja L. Antic
aka: Sanja L. Antic
[i120] [i119] [i118] [j95] [c178] [i112] [i111] [i108] [i107] [i106] [i105] [i104] [i103] [i102] [i101] [j93] [j90] [j86] [c175] [c173] [c172] [c169] [c168] [c167] [c166] [c165] [c159] [c156] [i96] [i94] [i91] [i90] [i89] [i87] [i85] [i84] [i83] [i82] [i81] [j82] [j80] [j79] [c152] [c150] [c149] [c148] [c147] [c145] [c144] [c143] [c138] [i78] [i75] [i70] [i69] [i67] [i66] [i65] [i64] [i63] [i62] [j74] [j66] [c130] [c129] [c128] [c127] [c120] [c118] [c117] [i58] [i56] [i53] [j63] [j62] [c115] [c114] [i39] [i37] [i36] [j51] [j47] [j46] [c97] [c96] [c92] [c91] [c88] [i34] [i31] [i27] [i19] [j44] [c86] [c85] [c81] [c75] [c72] [c70] [i14] [i10] [i9] [i8] [i6] [c69] [c68] [i4] [i3] [i2] [i1]
Camilo Bermudez
aka: Camilo Bermudez Noguera
aka: Camilo Bermudez Noguera
Leon Y. Cai
aka: Leon Yichen Cai
aka: Leon Yichen Cai
Manuel Jorge Cardoso
aka: M. Jorge Cardoso
aka: M. Jorge Cardoso
[j91] [j90] [c171] [c165] [c158] [c155] [i93] [i83] [j81] [c147] [c145] [c134] [i78] [i75] [i72] [i71] [i68] [i67] [i66] [i65] [j74] [j66] [c130] [c128] [c126] [c123] [c118] [c117] [i55] [i54] [i53] [j63] [j62] [c115] [c114] [c112] [c109] [c106] [c104] [c103] [c102] [c101] [i49] [i48] [i40] [i39] [c97] [c92] [i34] [i27] [i24] [i23] [i21] [i17]
[i120] [i117] [i116] [i113] [j95] [c178] [i112] [i111] [i110] [i108] [i106] [i104] [i103] [i101] [j91] [j90] [j86] [j85] [c175] [c174] [c173] [c172] [c169] [c168] [c167] [c166] [c159] [c156] [c155] [c154] [i96] [i95] [i94] [i92] [i91] [i90] [i89] [i88] [i87] [i85] [i84] [i83] [i81] [i80] [j83] [j82] [j81] [j80] [j79] [j75] [c152] [c150] [c149] [c148] [c147] [c146] [c145] [c138] [c137] [c134] [i78] [i77] [i76] [i75] [i71] [i70] [i69] [i66] [i65] [i64] [i63] [i62] [j74] [j73] [j66] [c130] [c129] [c128] [c127] [c126] [c123] [c120] [c119] [c118] [c117] [i58] [i56] [i55] [i54] [i53] [i52] [i50] [j63] [j62] [c114] [c113] [c112] [c110] [c109] [c106] [c104] [c103] [c102] [c101] [i49] [i48] [i46] [i44] [i43] [i41] [i40] [i39] [i37] [i36] [j58] [j57] [j52] [j51] [j47] [j46] [c100] [c97] [c96] [c95] [c94] [c92] [c91] [c90] [c89] [c88] [c87] [i35] [i34] [i31] [i30] [i29] [i28] [i27] [i24] [i23] [i21] [i19] [i17] [j44] [j41] [c86] [c85] [c83] [c81] [c80] [c75] [c73] [c72] [c70] [i15] [i14] [i12] [i10] [i9] [i8] [i7] [i6] [c66] [c65] [c64] [c62] [c61] [c54] [i5] [i4] [i3] [i2] [i1] [j34] [c53] [c52] [j31]
Cailey I. Kerley
aka: Cailey Irene Kerley
aka: Cailey Irene Kerley
[j94] [c178] [i112] [i111] [i110] [i107] [i106] [i101] [j90] [j86] [c175] [c172] [c171] [c170] [c169] [c168] [c165] [c159] [i96] [i93] [i89] [i84] [i83] [i82] [i81] [i80] [j82] [j80] [c148] [c147] [c145] [c144] [c143] [c138] [i78] [i75] [i67] [i66] [i65] [i64] [i63] [i62] [j74] [c130] [c129] [c128] [c126] [c120] [c118] [i58] [i55] [i53] [c114] [c106] [c104] [c103] [c101] [i49] [i48] [i37] [i36] [i24] [i21]
Lucas W. Remedios
aka: Lucas Walker Remedios
aka: Lucas Walker Remedios
Samuel Remedios
aka: Samuel W. Remedios
aka: Samuel W. Remedios
François Rheault
aka: Francois Rheault
aka: Francois Rheault
[i117] [j94] [i108] [i105] [i103] [i102] [i101] [i99] [j89] [j88] [j87] [c174] [c170] [c164] [c163] [c162] [c157] [c154] [c153] [i95] [i88] [i80] [j80] [j78] [j77] [c142] [c140] [c139] [c135] [j71] [j70] [j69] [j68] [c124] [c121] [c108] [c105] [i47] [i38] [j53] [j50] [j49] [c100] [c99] [c95] [c94] [i29] [i20] [i18] [j43] [j42] [c84] [c77] [i11] [j37] [c62] [c60] [c58] [j35] [c47] [c44] [c41]
[i116] [i113] [c177] [i112] [i107] [j92] [j90] [j86] [c176] [c173] [c168] [c165] [c161] [c159] [c158] [c156] [i98] [i91] [i89] [i87] [i86] [i84] [i83] [j82] [j81] [c151] [c148] [c147] [c145] [c144] [c143] [c138] [c134] [c133] [i78] [i75] [i74] [i72] [i68] [i67] [i66] [i65] [i63] [j74] [j66] [c130] [c129] [c128] [c126] [c123] [c120] [c119] [c118] [c117] [i58] [i55] [i54] [i53] [i51] [j63] [j62] [c115] [c114] [c109] [c106] [c104] [c103] [c102] [c101] [i49] [i48] [i40] [i39] [i37] [i36] [c97] [c89] [i29] [i27] [i24] [i23] [i21] [i19] [i17]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-04-20 23:51 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
