default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID12th MLMI@MICCAI 2021: Strasbourg, France
- Chunfeng Lian, Xiaohuan Cao, Islem Rekik, Xuanang Xu, Pingkun Yan:
Machine Learning in Medical Imaging - 12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings. Lecture Notes in Computer Science 12966, Springer 2021, ISBN 978-3-030-87588-6 - Tapabrata Chakraborti, Fergus Gleeson, Jens Rittscher:
Contrastive Representations for Continual Learning of Fine-Grained Histology Images. 1-9 - Hao Guan
, Li Wang, Dongren Yao, Andrea Bozoki, Mingxia Liu:
Learning Transferable 3D-CNN for MRI-Based Brain Disorder Classification from Scratch: An Empirical Study. 10-19 - Junrui Liu, Cong Hua, Liang Zhang, Ping Li, Xiaoyuan Lu:
Knee Cartilages Segmentation Based on Multi-scale Cascaded Neural Networks. 20-29 - Ling Huang, Thierry Denoeux, David Tonnelet, Pierre Decazes, Su Ruan:
Deep PET/CT Fusion with Dempster-Shafer Theory for Lymphoma Segmentation. 30-39 - Zhuoyue Wu, Hansheng Li, Lei Cui, Yuxin Kang, Jianye Liu, Haider Ali, Jun Feng, Lin Yang:
Interpretable Histopathology Image Diagnosis via Whole Tissue Slide Level Supervision. 40-49 - Dongdong Gu, Xiaohuan Cao, Guocai Liu, Zhong Xue, Dinggang Shen:
Variational Encoding and Decoding for Hybrid Supervision of Registration Network. 50-60 - Dongdong Gu, Xiaohuan Cao, Guocai Liu, Dinggang Shen, Zhong Xue:
Multiresolution Registration Network (MRN) Hierarchy with Prior Knowledge Learning. 61-69 - Jie Wei, Yongsheng Pan, Yong Xia, Dinggang Shen:
Learning to Synthesize 7 T MRI from 3 T MRI with Few Data by Deformable Augmentation. 70-79 - Jingya Liu, Oguz Akin, Yingli Tian:
Rethinking Pulmonary Nodule Detection in Multi-view 3D CT Point Cloud Representation. 80-90 - Ivan Drokin, Elena Ericheva:
End-to-End Lung Nodule Detection Framework with Model-Based Feature Projection Block. 91-100 - Yingying Zhu, Shuai Wang, Qingyu Chen, Sungwon Lee, Thomas C. Shen, Daniel C. Elton, Zhiyong Lu, Ronald M. Summers:
Learning Structure from Visual Semantic Features and Radiology Ontology for Lymph Node Classification on MRI. 101-109 - Zhanghexuan Ji, Mohammad Abuzar Shaikh, Dana Moukheiber, Sargur N. Srihari, Yifan Peng, Mingchen Gao:
Improving Joint Learning of Chest X-Ray and Radiology Report by Word Region Alignment. 110-119 - Zuhui Wang, Zhaozheng Yin:
Cell Counting by a Location-Aware Network. 120-129 - Mingxin Jiang, Shimin Yang, Zhongbo Zhao, Jiadong Yan, Yuzhong Chen, Tuo Zhang, Shu Zhang, Benjamin Becker, Keith M. Kendrick, Xi Jiang:
Exploring Gyro-Sulcal Functional Connectivity Differences Across Task Domains via Anatomy-Guided Spatio-Temporal Graph Convolutional Networks. 130-139 - Islem Mhiri, Mohamed Ali Mahjoub, Islem Rekik:
StairwayGraphNet for Inter- and Intra-modality Multi-resolution Brain Graph Alignment and Synthesis. 140-150 - Xiao Qi, David J. Foran, John L. Nosher, Ilker Hacihaliloglu:
Multi-Feature Semi-Supervised Learning for COVID-19 Diagnosis from Chest X-Ray Images. 151-160 - Nimrod Sagie, Hayit Greenspan, Jacob Goldberger:
Transfer Learning with a Layer Dependent Regularization for Medical Image Segmentation. 161-170 - Yue Sun, Kun Gao, Weili Lin, Gang Li, Sijie Niu, Li Wang:
Multi-scale Self-supervised Learning for Multi-site Pediatric Brain MR Image Segmentation with Motion/Gibbs Artifacts. 171-179 - Yutong Yan, Pierre-Henri Conze, Mathieu Lamard, Heng Zhang, Gwenolé Quellec, Béatrice Cochener, Gouenou Coatrieux:
Deep Active Learning for Dual-View Mammogram Analysis. 180-189 - Shuangchi He, Zehui Lin, Xin Yang, Chaoyu Chen, Jian Wang, Xue Shuang, Ziwei Deng, Qin Liu, Yan Cao, Xiduo Lu, Ruobing Huang, Nishant Ravikumar, Alejandro Frangi, Yuanji Zhang, Yi Xiong, Dong Ni:
Statistical Dependency Guided Contrastive Learning for Multiple Labeling in Prenatal Ultrasound. 190-198 - Peng Liu, Guoyan Zheng:
Semi-supervised Learning Regularized by Adversarial Perturbation and Diversity Maximization. 199-208 - Ignacio Sarasua, Sebastian Pölsterl, Christian Wachinger:
TransforMesh: A Transformer Network for Longitudinal Modeling of Anatomical Meshes. 209-218 - Wenjun Shen, Liyun Chen, Dongming Wei, Yuanfang Qiao, Yiqiang Zhan, Dinggang Shen, Qian Wang:
A Recurrent Two-Stage Anatomy-Guided Network for Registration of Liver DCE-MRI. 219-227 - Yu Li, Jiale Cheng, Xin Zhang, Ruiyan Fang, Lufan Liao, Xinyao Ding, Hao Ni, Xiangmin Xu, Zhengwang Wu, Dan Hu, Weili Lin, Li Wang, John H. Gilmore, Gang Li:
Learning Infant Brain Developmental Connectivity for Cognitive Score Prediction. 228-237 - Federica Proietto Salanitri, Giovanni Bellitto, Ismail Irmakci, Simone Palazzo, Ulas Bagci, Concetto Spampinato:
Hierarchical 3D Feature Learning forPancreas Segmentation. 238-247 - Heng Wang, Chaoyi Zhang, Jianhui Yu, Yang Song, Siqi Liu, Wojciech Chrzanowski, Weidong Cai:
Voxel-Wise Cross-Volume Representation Learning for 3D Neuron Reconstruction. 248-257 - Zehong Cao, Feng Shi, Qiang Xu, Gaoping Liu, Tianyang Sun, Xiaodan Xing, Yichu He, Guangming Lu, Zhiqiang Zhang, Dinggang Shen:
Diagnosis of Hippocampal Sclerosis from Clinical Routine Head MR Images Using Structure-constrained Super-Resolution Network. 258-266 - Olivier Petit, Nicolas Thome, Clément Rambour, Loic Themyr, Toby Collins, Luc Soler:
U-Net Transformer: Self and Cross Attention for Medical Image Segmentation. 267-276 - Tal Tlusty, Michal Ozery-Flato, Vesna Resende Barros, Ella Barkan, Mika Amit, David Gruen, Michal Guindy, Tal Arazi, Mona Rozin, Michal Rosen-Zvi, Efrat Hexter:
Pre-biopsy Multi-class Classification of Breast Lesion Pathology in Mammograms. 277-286 - Yaocong Zou, Yonghong Shi:
Co-segmentation of Multi-modality Spinal Image Using Channel and Spatial Attention. 287-295 - Bolin Lai, Yuhsuan Wu, Xiaoyun Zhou, Peng Wang, Le Lu, Lingyun Huang, Mei Han, Jing Xiao, Heping Hu, Adam P. Harrison:
Hetero-Modal Learning and Expansive Consistency Constraints for Semi-supervised Detection from Multi-sequence Data. 296-305 - Fabian Gröger, Anne-Marie Rickmann, Christian Wachinger:
STRUDEL: Self-training with Uncertainty Dependent Label Refinement Across Domains. 306-316 - Othmane Laousy, Guillaume Chassagnon, Edouard Oyallon, Nikos Paragios, Marie-Pierre Revel, Maria Vakalopoulou:
Deep Reinforcement Learning for L3 Slice Localization in Sarcopenia Assessment. 317-326 - JayaChandra Raju, Gayatri Kompella, Keerthi Ram, Rajeswaran Rangasami, Rajoo Ramachandran, Mohanasankar Sivaprakasam:
MIST GAN: Modality Imputation Using Style Transfer for MRI. 327-336 - Suhyeon Jeong, Seungkyu Lee:
Biased Extrapolation in Latent Space forImbalanced Deep Learning. 337-346 - Sheng Wang, Zixu Zhuang, Kai Xuan, Dahong Qian, Zhong Xue, Jia Xu, Ying Liu, Yiming Chai, Lichi Zhang, Qian Wang, Dinggang Shen:
3DMeT: 3D Medical Image Transformer for Knee Cartilage Defect Assessment. 347-355 - Wenzheng Tao, Riddhish Bhalodia, Ross T. Whitaker:
A Gaussian Process Model for Unsupervised Analysis of High Dimensional Shape Data. 356-365 - Pooneh R. Tabrizi, Jonathan Zember, Bruce Michael Sprague, Steven Hoefer, Ramon Sánchez-Jacob, James Jago, Dorothy Bulas, Hans G. Pohl, Marius George Linguraru:
Standardized Analysis of Kidney Ultrasound Images for the Prediction of Pediatric Hydronephrosis Severity. 366-375 - Eren Bora Yilmaz, Christian Bürger, Tobias Fricke, Md Motiur Rahman Sagar, Jaime Peña, Cristian Lorenz, Claus-Christian Glüer, Carsten Meyer:
Automated Deep Learning-Based Detection of Osteoporotic Fractures in CT Images. 376-385 - Yunxiang Li, Shuai Wang, Jun Wang, Guodong Zeng, Wenjun Liu, Qianni Zhang, Qun Jin, Yaqi Wang:
GT U-Net: A U-Net Like Group Transformer Network for Tooth Root Segmentation. 386-395 - Ugur Demir, Ismail Irmakci, Elif Keles, Ahmet Topcu, Ziyue Xu, Concetto Spampinato, Sachin Jambawalikar, Evrim Turkbey, Baris Turkbey, Ulas Bagci:
Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis. 396-405 - Reza Azad, Lucas Rouhier, Julien Cohen-Adad:
Stacked Hourglass Network with a Multi-level Attention Mechanism: Where to Look for Intervertebral Disc Labeling. 406-415 - Dayang Wang, Zhan Wu, Hengyong Yu:
TED-Net: Convolution-Free T2T Vision Transformer-Based Encoder-Decoder Dilation Network for Low-Dose CT Denoising. 416-425 - Fengbei Liu, Yu Tian, Filipe R. Cordeiro, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro:
Self-supervised Mean Teacher for Semi-supervised Chest X-Ray Classification. 426-436 - Mengyang Zhao, Quan Liu, Aadarsh Jha, Ruining Deng, Tianyuan Yao, Anita Mahadevan-Jansen, Matthew J. Tyska, Bryan A. Millis, Yuankai Huo:
VoxelEmbed: 3D Instance Segmentation and Tracking with Voxel Embedding based Deep Learning. 437-446 - Qingyong Zhu, Dong Liang:
Using Spatio-Temporal Correlation Based Hybrid Plug-and-Play Priors (SEABUS) for Accelerated Dynamic Cardiac Cine MRI. 447-456 - Ayaan Haque, Adam S. Wang, Abdullah-Al-Zubaer Imran:
Window-Level Is a Strong Denoising Surrogate. 457-466 - Diego Machado Reyes, Hanqing Chao, Fatemeh Homayounieh, Juergen Hahn, Mannudeep K. Kalra, Pingkun Yan:
Cardiovascular Disease Risk Improves COVID-19 Patient Outcome Prediction. 467-476 - Shiv Gehlot, Anubha Gupta:
Self-supervision Based Dual-Transformation Learning for Stain Normalization, Classification andSegmentation. 477-486 - Wenzhao Wei, Sacha Haidinger, John G. Lock, Erik Meijering:
Deep Representation Learning for Image-Based Cell Profiling. 487-497 - Xiaoyang Han, Yuting Zhai, Ziqi Yu, Tingying Peng, Xiao-Yong Zhang:
Detecting Extremely Small Lesions in Mouse Brain MRI with Point Annotations via Multi-task Learning. 498-506 - Jianping Li, Zhiming Cui, Shuai Wang, Jie Wei, Jun Feng, Shu Liao, Dinggang Shen:
Morphology-Guided Prostate MRI Segmentation with Multi-slice Association. 507-516 - Runze Wang, Guoyan Zheng:
Unsupervised Cross-modality Cardiac Image Segmentation via Disentangled Representation Learning and Consistency Regularization. 517-526 - Jupeng Li, Yinghui Wang, Shuai Wang, Kai Zhang, Gang Li:
Landmark-Guided Rigid Registration for Temporomandibular Joint MRI-CBCT Images with Large Field-of-View Difference. 527-536 - Caiwen Jiang, Zhiming Cui, Dongming Wei, Yuhang Sun, Jiameng Liu, Jie Wei, Qun Chen, Dijia Wu, Dinggang Shen:
Spine-Rib Segmentation and Labeling via Hierarchical Matching and Rib-Guided Registration. 537-545 - Jiameng Liu, Zhiming Cui, Yuhang Sun, Caiwen Jiang, Zirong Chen, Hao Yang, Yuyao Zhang, Dijia Wu, Dinggang Shen:
Multi-scale Segmentation Network for Rib Fracture Classification from CT Images. 546-554 - Jun Luo, Gene Kitamura, Dooman Arefan, Emine Doganay, Ashok Panigrahy, Shandong Wu:
Knowledge-Guided Multiview Deep Curriculum Learning for Elbow Fracture Classification. 555-564 - Alexis Perakis, Ali Gorji, Samriddhi Jain, Krishna Chaitanya, Simone Rizza, Ender Konukoglu:
Contrastive Learning of Single-Cell Phenotypic Representations for Treatment Classification. 565-575 - Xiao Zhang, Zhiming Cui, Jun Feng, Yanli Song, Dijia Wu, Dinggang Shen:
CorLab-Net: Anatomical Dependency-Aware Point-Cloud Learning for Automatic Labeling of Coronary Arteries. 576-585 - Ramy A. Zeineldin, Mohamed E. Karar, Franziska Mathis-Ullrich, Oliver Burgert:
A Hybrid Deep Registration of MR Scans to Interventional Ultrasound for Neurosurgical Guidance. 586-595 - Alina Dima, Johannes C. Paetzold, Friederike Jungmann, Tristan Lemke, Philipp Raffler, Georgios Kaissis, Daniel Rueckert, Rickmer Braren:
Segmentation of Peripancreatic Arteries in Multispectral Computed Tomography Imaging. 596-605 - Qin Liu, Han Deng, Chunfeng Lian, Xiaoyang Chen, Deqiang Xiao, Lei Ma, Xu Chen, Tianshu Kuang, Jaime Gateno, Pew-Thian Yap, James J. Xia:
SkullEngine: A Multi-stage CNN Framework for Collaborative CBCT Image Segmentation and Landmark Detection. 606-614 - Qin Liu, Chunfeng Lian, Deqiang Xiao, Lei Ma, Hannah H. Deng, Xu Chen, Dinggang Shen, Pew-Thian Yap, James J. Xia:
Skull Segmentation from CBCT Images via Voxel-Based Rendering. 615-623 - Raphael Ronge, Kwangsik Nho, Christian Wachinger, Sebastian Pölsterl:
Alzheimer's Disease Diagnosis via Deep Factorization Machine Models. 624-633 - Kai Zhang, Jupeng Li, Ruohan Ma, Gang Li:
3D Temporomandibular Joint CBCT Image Segmentation via Multi-directional Resampling Ensemble Learning Network. 634-643 - Yoonmi Hong, Sahar Ahmad, Ye Wu, Siyuan Liu, Pew-Thian Yap:
Vox2Surf: Implicit Surface Reconstruction from Volumetric Data. 644-653 - Pablo Pino, Denis Parra, Cecilia Besa, Claudio Lagos:
Clinically Correct Report Generation from Chest X-Rays Using Templates. 654-663 - Kai Lin, Biao Jie, Peng Dong, Xintao Ding, Weixin Bian, Mingxia Liu:
Extracting Sequential Features from Dynamic Connectivity Network with rs-fMRI Data for AD Classification. 664-673 - Peng Dong, Biao Jie, Lin Kai, Xintao Ding, Weixin Bian, Mingxia Liu:
Integration of Handcrafted and Embedded Features from Functional Connectivity Network with rs-fMRI forBrain Disease Classification. 674-681 - Tejas Sudharshan Mathai, Sungwon Lee, Daniel C. Elton, Thomas C. Shen, Yifan Peng, Zhiyong Lu, Ronald M. Summers:
Detection of Lymph Nodes in T2 MRI Using Neural Network Ensembles. 682-691 - Nahid Ul Islam, Shiv Gehlot, Zongwei Zhou, Michael B. Gotway, Jianming Liang:
Seeking an Optimal Approach for Computer-Aided Pulmonary Embolism Detection. 692-702
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.
last updated on 2025-03-17 20:33 CET 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:
