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ORCIDChristos Davatzikos
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- affiliation: University of Pennsylvania, Philadelphia, USA
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2020 – today
- 2023
[j124]Hongming Li
, Dhivya Srinivasan, Chuanjun Zhuo, Zaixu Cui, Raquel E. Gur, Ruben C. Gur, Desmond J. Oathes, Christos Davatzikos, Theodore D. Satterthwaite, Yong Fan:
Computing personalized brain functional networks from fMRI using self-supervised deep learning. Medical Image Anal. 85: 102756 (2023)- [j123]Rongguang Wang, Vishnu Bashyam, Zhijian Yang, Fanyang Yu, Vasiliki Tassopoulou, Sai Spandana Chintapalli, Ioanna Skampardoni, Lasya P. Sreepada, Dushyant Sahoo, Konstantina S. Nikita, Ahmed Abdulkadir, Junhao Wen, Christos Davatzikos:
Applications of generative adversarial networks in neuroimaging and clinical neuroscience. NeuroImage 269: 119898 (2023) - [j122]Zhen Zhou, Hongming Li, Dhivya Srinivasan, Ahmed Abdulkadir, Ilya M. Nasrallah, Junhao Wen, Jimit Doshi, Güray Erus, Elizabeth Mamourian, R. Nick Bryan, David A. Wolk, Lori L. Beason-Held, Susan M. Resnick, Theodore D. Satterthwaite, Christos Davatzikos, Haochang Shou, Yong Fan:
Multiscale functional connectivity patterns of the aging brain learned from harmonized rsfMRI data of the multi-cohort iSTAGING study. NeuroImage 269: 119911 (2023) - [j121]C'iana P. Cooper, Andrea T. Shafer, Nicole M. Armstrong, Yang An, Güray Erus, Christos Davatzikos, Luigi Ferrucci, Peter R. Rapp, Susan M. Resnick:
Associations of baseline and longitudinal change in cerebellum volume with age-related changes in verbal learning and memory. NeuroImage 272: 120048 (2023) - [j120]Fengling Hu, Andrew A. Chen, Hannah Horng, Vishnu Bashyam, Christos Davatzikos, Aaron Alexander-Bloch, Mingyao Li, Haochang Shou, Theodore D. Satterthwaite, Meichen Yu, Russell T. Shinohara:
Image harmonization: A review of statistical and deep learning methods for removing batch effects and evaluation metrics for effective harmonization. NeuroImage 274: 120125 (2023) - [j119]Jingxuan Bao, Junhao Wen, Zixuan Wen, Shu Yang, Yuhan Cui, Zhijian Yang, Güray Erus, Andrew J. Saykin, Qi Long, Christos Davatzikos, Li Shen:
Brain-wide genome-wide colocalization study for integrating genetics, transcriptomics and brain morphometry in Alzheimer's disease. NeuroImage 280: 120346 (2023) - [j118]Shashank Subramanian, Ali Ghafouri, Klaudius Matthias Scheufele, Naveen Himthani, Christos Davatzikos, George Biros:
Ensemble Inversion for Brain Tumor Growth Models With Mass Effect. IEEE Trans. Medical Imaging 42(4): 982-995 (2023) - [i35]Zhijian Yang, Junhao Wen, Ahmed Abdulkadir, Yuhan Cui, Güray Erus, Elizabeth Mamourian, Randa Melhem, Dhivya Srinivasan, Sindhuja T. Govindarajan, Jiong Chen, Mohamad Habes, Colin L. Masters, Paul Maruff, Jurgen Fripp, Luigi Ferrucci, Marilyn S. Albert, Sterling C. Johnson, John C. Morris, Pamela LaMontagne, Daniel S. Marcus, Tammie L. S. Benzinger, David A. Wolk, Li Shen, Jingxuan Bao, Susan M. Resnick, Haochang Shou, Ilya M. Nasrallah, Christos Davatzikos:
Gene-SGAN: a method for discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering. CoRR abs/2301.10772 (2023) - [i34]Florian Kofler, Felix Meissen, Felix Steinbauer, Robert Graf, Eva Oswald, Ezequiel de la Rosa, Hongwei Bran Li, Ujjwal Baid, Florian A. Hölzl, Özgün Turgut, Izabela Horvath, Diana Waldmannstetter, Christina Bukas, Maruf Adewole, Syed Muhammad Anwar, Anastasia Janas, Anahita Fathi Kazerooni, Dominic LaBella, Ahmed W. Moawad, Keyvan Farahani, James A. Eddy, Timothy Bergquist, Verena Chung, Russell Takeshi Shinohara, Farouk Dako, Walter I. Wiggins, Zachary Reitman, Chunhao Wang, Xinyang Liu, Zhifan Jiang, Ariana Familiar, Gian Marco Conte, Elaine Johanson, Zeke Meier, Christos Davatzikos, John B. Freymann, Justin S. Kirby, Michel Bilello, Hassan M. Fathallah-Shaykh, Roland Wiest, Jan Kirschke, Rivka R. Colen, Aikaterini Kotrotsou, Pamela LaMontagne, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Marc-André Weber, Abhishek Mahajan, Suyash Mohan, John Mongan, Christopher Hess, Soonmee Cha, Javier E. Villanueva-Meyer, Errol Colak, Priscila Crivellaro, András Jakab, Jake Albrecht, Udunna Anazodo, Mariam Aboian, Juan Eugenio Iglesias, Koen Van Leemput, Spyridon Bakas, Daniel Rueckert, Benedikt Wiestler, Ivan Ezhov, Marie Piraud, Bjoern H. Menze:
The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting. CoRR abs/2305.08992 (2023) - [i33]Hongwei Bran Li, Gian Marco Conte, Syed Muhammad Anwar, Florian Kofler, Koen Van Leemput, Marie Piraud, Ivan Ezhov, Felix Meissen, Maruf Adewole, Anastasia Janas, Anahita Fathi Kazerooni, Dominic LaBella, Ahmed W. Moawad, Keyvan Farahani, James A. Eddy, Timothy Bergquist, Verena Chung, Russell Takeshi Shinohara, Farouk Dako, Walter I. Wiggins, Zachary Reitman, Chunhao Wang, Xinyang Liu, Zhifan Jiang, Ariana Familiar, Elaine Johanson, Zeke Meier, Christos Davatzikos, John B. Freymann, Justin S. Kirby, Michel Bilello, Hassan M. Fathallah-Shaykh, Roland Wiest, Jan Kirschke, Rivka R. Colen, Aikaterini Kotrotsou, Pamela LaMontagne, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Marc-André Weber, Abhishek Mahajan, Suyash Mohan, John Mongan, Christopher Hess, Soonmee Cha, Javier E. Villanueva-Meyer, Errol Colak, Priscila Crivellaro, András Jakab, Jake Albrecht, Udunna Anazodo, Mariam Aboian, Thomas Yu, Ujjwal Baid, Spyridon Bakas, Marius George Linguraru, Bjoern H. Menze, Juan Eugenio Iglesias, Benedikt Wiestler:
The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn). CoRR abs/2305.09011 (2023) - [i32]Rongguang Wang, Güray Erus, Pratik Chaudhari, Christos Davatzikos:
Adapting Machine Learning Diagnostic Models to New Populations Using a Small Amount of Data: Results from Clinical Neuroscience. CoRR abs/2308.03175 (2023) - 2022
- [j117]Junhao Wen, Erdem Varol, Aristeidis Sotiras, Zhijian Yang, Ganesh B. Chand, Güray Erus, Haochang Shou, Ahmed Abdulkadir, Gyujoon Hwang, Dominic B. Dwyer, Alessandro Pigoni, Paola Dazzan, René S. Kahn, Hugo G. Schnack, Marcus V. Zanetti, Eva Meisenzahl, Geraldo F. Busatto, Benedicto Crespo-Facorro, Romero-Garcia Rafael, Christos Pantelis, Stephen J. Wood, Chuanjun Zhuo, Russell T. Shinohara, Yong Fan, Ruben C. Gur, Raquel E. Gur, Theodore D. Satterthwaite, Nikolaos Koutsouleris, Daniel H. Wolf, Christos Davatzikos:
Multi-scale semi-supervised clustering of brain images: Deriving disease subtypes. Medical Image Anal. 75: 102304 (2022) - [j116]Rongguang Wang, Pratik Chaudhari, Christos Davatzikos:
Embracing the disharmony in medical imaging: A Simple and effective framework for domain adaptation. Medical Image Anal. 76: 102309 (2022) - [j115]Andrew A. Chen, Dhivya Srinivasan, Raymond Pomponio, Yong Fan, Ilya M. Nasrallah, Susan M. Resnick, Lori L. Beason-Held, Christos Davatzikos, Theodore D. Satterthwaite, Dani S. Bassett, Russell T. Shinohara, Haochang Shou:
Harmonizing functional connectivity reduces scanner effects in community detection. NeuroImage 256: 119198 (2022) - [c166]Jiahang Sha, Jingxuan Bao, Kefei Liu, Shu Yang, Zixuan Wen, Yuhan Cui, Junhao Wen, Christos Davatzikos, Jason H. Moore, Andrew J. Saykin, Qi Long, Li Shen:
Preference Matrix Guided Sparse Canonical Correlation Analysis for Genetic Study of Quantitative Traits in Alzheimer's Disease. BIBM 2022: 541-548 - [c165]Zhijian Yang, Junhao Wen, Christos Davatzikos:
Surreal-GAN: Semi-Supervised Representation Learning via GAN for uncovering heterogeneous disease-related imaging patterns. ICLR 2022 - [c164]Vasiliki Tassopoulou, Fanyang Yu, Christos Davatzikos:
Deep Kernel Learning with Temporal Gaussian Processes for Clinical Variable Prediction in Alzheimer's Disease. ML4H@NeurIPS 2022: 539-551 - [i31]Junhao Wen, Erdem Varol, Zhijian Yang, Gyujoon Hwang, Dominique Dwyer, Anahita Fathi Kazerooni, Paris Alexandros Lalousis, Christos Davatzikos:
Subtyping brain diseases from imaging data. CoRR abs/2202.10945 (2022) - [i30]Dushyant Sahoo, Mathilde Antoniades, Cynthia H. Y. Fu, Christos Davatzikos:
Robust Hierarchical Patterns for identifying MDD patients: A Multisite Study. CoRR abs/2202.11144 (2022) - [i29]Sarthak Pati, Ujjwal Baid, Brandon Edwards, Micah J. Sheller, Hans Shih-Han Wang, G. Anthony Reina, Patrick Foley, Alexey Gruzdev, Deepthi Karkada, Christos Davatzikos, Chiharu Sako, Satyam Ghodasara, Michel Bilello, Suyash Mohan, Philipp Vollmuth, Gianluca Brugnara, Chandrakanth J. Preetha, Felix Sahm, Klaus H. Maier-Hein, Maximilian Zenk, Martin Bendszus, Wolfgang Wick, Evan Calabrese, Jeffrey D. Rudie, Javier E. Villanueva-Meyer, Soonmee Cha, Madhura Ingalhalikar, Manali Jadhav, Umang Pandey, Jitender Saini, John Garrett, Matthew Larson, Robert Jeraj, Stuart Currie, Russell Frood, Kavi Fatania, Raymond Y. Huang, Ken Chang, Carmen Balaña Quintero, Jaume Capellades, Josep Puig, Johannes Trenkler, Josef Pichler, Georg Necker, Andreas Haunschmidt, Stephan Meckel, Gaurav Shukla, Spencer Liem, Gregory S. Alexander, et al.:
Federated Learning Enables Big Data for Rare Cancer Boundary Detection. CoRR abs/2204.10836 (2022) - [i28]Zhijian Yang, Junhao Wen, Christos Davatzikos:
Surreal-GAN: Semi-Supervised Representation Learning via GAN for uncovering heterogeneous disease-related imaging patterns. CoRR abs/2205.04523 (2022) - [i27]Rongguang Wang, Pratik Chaudhari, Christos Davatzikos:
Machine Learning Models Are Not Necessarily Biased When Constructed Properly: Evidence from Neuroimaging Studies. CoRR abs/2205.13421 (2022) - [i26]Rongguang Wang, Vishnu Bashyam, Zhijian Yang, Fanyang Yu, Vasiliki Tassopoulou, Lasya P. Sreepada, Sai Spandana Chintapalli, Dushyant Sahoo, Ioanna Skampardoni, Konstantina S. Nikita, Ahmed Abdulkadir, Junhao Wen, Christos Davatzikos:
Applications of Generative Adversarial Networks in Neuroimaging and Clinical Neuroscience. CoRR abs/2206.07081 (2022) - [i25]Tanweer Rashid, Hangfan Liu, Jeffrey B. Ware, Karl Li, Jose Rafael Romero, Elyas Fadaee, Ilya M. Nasrallah, Saima Hilal, R. Nick Bryan, Timothy M. Hughes, Christos Davatzikos, Lenore J. Launer, Sudha Seshadri, Susan R. Heckbert, Mohamad Habes:
Deep Learning Based Detection of Enlarged Perivascular Spaces on Brain MRI. CoRR abs/2209.13727 (2022) - 2021
- [j114]S. Kevin Zhou, Hayit Greenspan, Christos Davatzikos, James S. Duncan, Bram van Ginneken, Anant Madabhushi, Jerry L. Prince, Daniel Rueckert, Ronald M. Summers:
A Review of Deep Learning in Medical Imaging: Imaging Traits, Technology Trends, Case Studies With Progress Highlights, and Future Promises. Proc. IEEE 109(5): 820-838 (2021) - [j113]Dushyant Sahoo, Theodore D. Satterthwaite, Christos Davatzikos:
Hierarchical Extraction of Functional Connectivity Components in Human Brain Using Resting-State fMRI. IEEE Trans. Medical Imaging 40(3): 940-950 (2021) - [c163]Rongguang Wang, Pratik Chaudhari, Christos Davatzikos:
Harmonization with Flow-Based Causal Inference. MICCAI (3) 2021: 181-190 - [c162]Dushyant Sahoo, Christos Davatzikos:
Learning Robust Hierarchical Patterns of Human Brain across Many fMRI Studies. NeurIPS 2021: 29034-29048 - [i24]Zhijian Yang, Ilya M. Nasrallah, Haochang Shou, Junhao Wen, Jimit Doshi, Mohamad Habes, Güray Erus, Ahmed Abdulkadir, Susan M. Resnick, David A. Wolk, Christos Davatzikos:
Disentangling brain heterogeneity via semi-supervised deep-learning and MRI: dimensional representations of Alzheimer's Disease. CoRR abs/2102.12582 (2021) - [i23]Sarthak Pati, Siddhesh P. Thakur, Megh Bhalerao, Ujjwal Baid, Caleb M. Grenko, Brandon Edwards, Micah J. Sheller, Jose Agraz, Bhakti Baheti, Vishnu Bashyam, Parth Sharma, Babak Haghighi, Aimilia Gastounioti, Mark Bergman, Bjoern H. Menze, Despina Kontos, Christos Davatzikos, Spyridon Bakas:
GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows in Medical Imaging. CoRR abs/2103.01006 (2021) - [i22]Rongguang Wang, Pratik Chaudhari, Christos Davatzikos:
Embracing the Disharmony in Heterogeneous Medical Data. CoRR abs/2103.12857 (2021) - [i21]Dushyant Sahoo, Christos Davatzikos:
Extraction of Hierarchical Functional Connectivity Components in human brain using Adversarial Learning. CoRR abs/2104.10255 (2021) - [i20]Sarthak Pati, Ujjwal Baid, Maximilian Zenk, Brandon Edwards, Micah J. Sheller, G. Anthony Reina, Patrick Foley, Alexey Gruzdev, Jason Martin, Shadi Albarqouni, Yong Chen, Russell Taki Shinohara, Annika Reinke, David Zimmerer, John B. Freymann, Justin S. Kirby, Christos Davatzikos, Rivka R. Colen, Aikaterini Kotrotsou, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Hassan M. Fathallah-Shaykh, Roland Wiest, András Jakab, Marc-André Weber, Abhishek Mahajan, Lena Maier-Hein, Jens Kleesiek, Bjoern H. Menze, Klaus H. Maier-Hein, Spyridon Bakas:
The Federated Tumor Segmentation (FeTS) Challenge. CoRR abs/2105.05874 (2021) - [i19]Dushyant Sahoo, Christos Davatzikos:
Learning Robust Hierarchical Patterns of Human Brain across Many fMRI Studies. CoRR abs/2105.06535 (2021) - [i18]Shashank Subramanian, Klaudius Scheufele, Naveen Himthani, Christos Davatzikos, George Biros:
Ensemble inversion for brain tumor growth models with mass effect. CoRR abs/2106.06016 (2021) - [i17]Rongguang Wang, Pratik Chaudhari, Christos Davatzikos:
Harmonization with Flow-based Causal Inference. CoRR abs/2106.06845 (2021) - [i16]Ujjwal Baid, Satyam Ghodasara, Michel Bilello, Suyash Mohan, Evan Calabrese, Errol Colak, Keyvan Farahani, Jayashree Kalpathy-Cramer, Felipe C. Kitamura, Sarthak Pati, Luciano M. Prevedello, Jeffrey D. Rudie, Chiharu Sako, Russell T. Shinohara, Timothy Bergquist, Rong Chai, James A. Eddy, Julia Elliott, Walter Reade, Thomas Schaffter, Thomas Yu, Jiaxin Zheng, BraTS Annotators, Christos Davatzikos, John Mongan, Christopher Hess, Soonmee Cha, Javier E. Villanueva-Meyer, John B. Freymann, Justin S. Kirby, Benedikt Wiestler, Priscila Crivellaro, Rivka R. Colen, Aikaterini Kotrotsou, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Hassan M. Fathallah-Shaykh, Roland Wiest, András Jakab, Marc-André Weber, Abhishek Mahajan, Bjoern H. Menze, Adam E. Flanders, Spyridon Bakas:
The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification. CoRR abs/2107.02314 (2021) - [i15]Gyujoon Hwang, Ahmed Abdulkadir, Güray Erus, Mohamad Habes, Raymond Pomponio, Haochang Shou, Jimit Doshi, Elizabeth Mamourian, Tanweer Rashid, Murat Bilgel, Yong Fan, Aristeidis Sotiras, Dhivya Srinivasan, John C. Morris, Daniel S. Marcus, Marilyn S. Albert, R. Nick Bryan, Susan M. Resnick, Ilya M. Nasrallah, Christos Davatzikos, David A. Wolk:
Disentangling Alzheimer's disease neurodegeneration from typical brain aging using machine learning. CoRR abs/2109.03723 (2021) - [i14]Junhao Wen, Cynthia H. Y. Fu, Duygu Tosun, Yogasudha Veturi, Zhijian Yang, Ahmed Abdulkadir, Elizabeth Mamourian, Dhivya Srinivasan, Jingxuan Bao, Güray Erus, Haochang Shou, Mohamad Habes, Jimit Doshi, Erdem Varol, Scott R. Mackin, Aristeidis Sotiras, Yong Fan, Andrew J. Saykin, Yvette I. Sheline, Li Shen, Marylyn D. Ritchie, David A. Wolk, Marilyn S. Albert, Susan M. Resnick, Christos Davatzikos:
Multidimensional representations in late-life depression: convergence in neuroimaging, cognition, clinical symptomatology and genetics. CoRR abs/2110.11347 (2021) - [i13]Bhakti Baheti, Diana Waldmannstetter, Satrajit Chakrabarty, Hamed Akbari, Michel Bilello, Benedikt Wiestler, Julian Schwarting, Evan Calabrese, Jeffrey D. Rudie, Syed Amaan Abidi, Mina Mousa, Javier E. Villanueva-Meyer, Daniel S. Marcus, Christos Davatzikos, Aristeidis Sotiras, Bjoern H. Menze, Spyridon Bakas:
The Brain Tumor Sequence Registration Challenge: Establishing Correspondence between Pre-Operative and Follow-up MRI scans of diffuse glioma patients. CoRR abs/2112.06979 (2021) - [i12]Raghav Mehta, Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard McKinley, Michael Rebsamen, Katrin Dätwyler, Raphael Meier, Piotr Radojewski, Gowtham Krishnan Murugesan, Sahil S. Nalawade, Chandan Ganesh, Benjamin C. Wagner, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian, Laura Alexandra Daza, Catalina Gómez Caballero, Pablo Arbeláez, Chengliang Dai, Shuo Wang, Hadrien Raynaud, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai, Subhashis Banerjee, Linmin Pei, Murat Ak, Sarahi Rosas-González, Ilyess Zemmoura, Clovis Tauber, Minh H. Vu, Tufve Nyholm, Tommy Löfstedt, Laura Mora Ballestar, Verónica Vilaplana, Hugh McHugh, Gonzalo D. Maso Talou, Alan Wang, Jay B. Patel, Ken Chang, Katharina Hoebel, Mishka Gidwani, Nishanth Thumbavanam Arun, Sharut Gupta, Mehak Aggarwal, Praveer Singh, Elizabeth R. Gerstner, Jayashree Kalpathy-Cramer, Nicolas Boutry, Alexis Huard, Lasitha Vidyaratne, Md Monibor Rahman, Khan M. Iftekharuddin, Joseph Chazalon, Élodie Puybareau, Guillaume Tochon, Jun Ma, Mariano Cabezas, Xavier Lladó, Arnau Oliver, Liliana Valencia, Sergi Valverde, Mehdi Amian, Mohammadreza Soltaninejad, Andriy Myronenko, Ali Hatamizadeh, Xue Feng, Quan Dou, Nicholas J. Tustison, Craig H. Meyer, Nisarg A. Shah, Sanjay N. Talbar, Marc-André Weber, Abhishek Mahajan, András Jakab, Roland Wiest, Hassan M. Fathallah-Shaykh, Arash Nazeri, Mikhail Milchenko, Daniel S. Marcus, Aikaterini Kotrotsou, Rivka Colen, John B. Freymann, Justin S. Kirby, Christos Davatzikos, Bjoern H. Menze, Spyridon Bakas, Yarin Gal, Tal Arbel:
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. CoRR abs/2112.10074 (2021) - 2020
- [j112]Linmin Pei, Spyridon Bakas, Arastoo Vossough, Syed M. S. Reza, Christos Davatzikos, Khan M. Iftekharuddin:
Longitudinal brain tumor segmentation prediction in MRI using feature and label fusion. Biomed. Signal Process. Control. 55 (2020) - [j111]Raymond Pomponio, Güray Erus, Mohamad Habes, Jimit Doshi, Dhivya Srinivasan, Elizabeth Mamourian, Vishnu Bashyam, Ilya M. Nasrallah, Theodore D. Satterthwaite, Yong Fan, Lenore J. Launer, Colin L. Masters, Paul Maruff, Chuanjun Zhuo, Henry Völzke, Sterling C. Johnson, Jurgen Fripp, Nikolaos Koutsouleris, Christos Davatzikos:
Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan. NeuroImage 208: 116450 (2020) - [j110]Joanne C. Beer, Nicholas J. Tustison, Philip A. Cook, Christos Davatzikos, Yvette I. Sheline, Russell T. Shinohara, Kristin A. Linn:
Longitudinal ComBat: A method for harmonizing longitudinal multi-scanner imaging data. NeuroImage 220: 117129 (2020) - [j109]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) - [j108]Dhivya Srinivasan, Güray Erus, Jimit Doshi, David A. Wolk, Haochang Shou, Mohamad Habes, Christos Davatzikos:
A comparison of Freesurfer and multi-atlas MUSE for brain anatomy segmentation: Findings about size and age bias, and inter-scanner stability in multi-site aging studies. NeuroImage 223: 117248 (2020) - [j107]Nicole M. Armstrong, Yang An, John J. Shin, Owen A. Williams, Jimit Doshi, Güray Erus, Christos Davatzikos, Luigi Ferrucci, Lori L. Beason-Held, Susan M. Resnick:
Associations between cognitive and brain volume changes in cognitively normal older adults. NeuroImage 223: 117289 (2020) - [c161]Anahita Fathi Kazerooni, Christos Davatzikos:
Computational Diagnostics of GBM Tumors in the Era of Radiomics and Radiogenomics. BrainLes@MICCAI (1) 2020: 30-38 - [c160]Sarthak Pati, Vaibhav Sharma, Heena Aslam, Siddhesh P. Thakur, Hamed Akbari, Andreas Mang, Shashank Subramanian, George Biros, Christos Davatzikos, Spyridon Bakas:
Estimating Glioblastoma Biophysical Growth Parameters Using Deep Learning Regression. BrainLes@MICCAI (1) 2020: 157-167 - [c159]Omid Haji Maghsoudi, Aimilia Gastounioti, Lauren Pantalone, Christos Davatzikos, Spyridon Bakas, Despina Kontos:
O-Net: An Overall Convolutional Network for Segmentation Tasks. MLMI@MICCAI 2020: 199-209 - [c158]Xu Han, Zhengyang Shen, Zhenlin Xu, Spyridon Bakas, Hamed Akbari, Michel Bilello, Christos Davatzikos, Marc Niethammer:
A Deep Network for Joint Registration and Reconstruction of Images with Pathologies. MLMI@MICCAI 2020: 342-352 - [c157]Junhao Wen, Erdem Varol, Ganesh B. Chand, Aristeidis Sotiras, Christos Davatzikos:
MAGIC: Multi-scale Heterogeneity Analysis and Clustering for Brain Diseases. MICCAI (7) 2020: 678-687 - [c156]Spyridon Bakas, Gaurav Shukla, Hamed Akbari, Güray Erus, Aristeidis Sotiras, Saima Rathore, Chiharu Sako, Sung Min Ha, Martin Rozycki, Ashish Singh, Russell T. Shinohara, Michel Bilello, Christos Davatzikos:
Integrative radiomic analysis for pre-surgical prognostic stratification of glioblastoma patients: from advanced to basic MRI protocols. Medical Imaging: Image-Guided Procedures 2020: 113151S - [i11]Zhijian Yang, Junhao Wen, Christos Davatzikos:
Smile-GANs: Semi-supervised clustering via GANs for dissecting brain disease heterogeneity from medical images. CoRR abs/2006.15255 (2020) - [i10]Junhao Wen, Erdem Varol, Ganesh B. Chand, Aristeidis Sotiras, Christos Davatzikos:
MAGIC: Multi-scale Heterogeneity Analysis and Clustering for Brain Diseases. CoRR abs/2007.00812 (2020) - [i9]Xu Han, Zhengyang Shen, Zhenlin Xu, Spyridon Bakas, Hamed Akbari, Michel Bilello, Christos Davatzikos, Marc Niethammer:
A Deep Network for Joint Registration and Reconstruction of Images with Pathologies. CoRR abs/2008.07628 (2020) - [i8]S. Kevin Zhou, Hayit Greenspan, Christos Davatzikos, James S. Duncan, Bram van Ginneken, Anant Madabhushi, Jerry L. Prince, Daniel Rueckert, Ronald M. Summers:
A review of deep learning in medical imaging: Image traits, technology trends, case studies with progress highlights, and future promises. CoRR abs/2008.09104 (2020) - [i7]Vishnu M. Bashyam, Jimit Doshi, Güray Erus, Dhivya Srinivasan, Ahmed Abdulkadir, Mohamad Habes, Yong Fan, Colin L. Masters, Paul Maruff, Chuanjun Zhuo, Henry Völzke, Sterling C. Johnson, Jurgen Fripp, Nikolaos Koutsouleris, Theodore D. Satterthwaite, Daniel H. Wolf, Raquel E. Gur, Ruben C. Gur, John C. Morris, Marilyn S. Albert, Hans Jörgen Grabe, Susan M. Resnick, R. Nick Bryan, David A. Wolk, Haochang Shou, Ilya M. Nasrallah, Christos Davatzikos:
Medical Image Harmonization Using Deep Learning Based Canonical Mapping: Toward Robust and Generalizable Learning in Imaging. CoRR abs/2010.05355 (2020)
2010 – 2019
- 2019
- [j106]Gabor Fichtinger, Julia A. Schnabel, Christos Davatzikos, Alejandro F. Frangi, Carlos Alberola-López:
IJCARS-MICCAI 2018 special issue. Int. J. Comput. Assist. Radiol. Surg. 14(9): 1461 (2019) - [j105]Saima Rathore, Hamed Akbari, Spyridon Bakas, Jared Pisapia, Gaurav Shukla, Jeffrey D. Rudie, Xiao Da, Ramana V. Davuluri, Nadia Dahmane, Donald M. O'Rourke, Christos Davatzikos:
Multivariate Analysis of Preoperative Magnetic Resonance Imaging Reveals Transcriptomic Classification of de novo Glioblastoma Patients. Frontiers Comput. Neurosci. 13: 81 (2019) - [j104]Julia A. Schnabel, Christos Davatzikos, Gabor Fichtinger, Alejandro F. Frangi, Carlos Alberola-López:
Special issue on MICCAI 2018. Medical Image Anal. 58 (2019) - [j103]Christos Davatzikos:
Machine learning in neuroimaging: Progress and challenges. NeuroImage 197: 652-656 (2019) - [j102]Andreas Mang, Amir Gholami, Christos Davatzikos, George Biros:
CLAIRE: A Distributed-Memory Solver for Constrained Large Deformation Diffeomorphic Image Registration. SIAM J. Sci. Comput. 41(5): C548-C584 (2019) - [c155]Siddhesh P. Thakur, Jimit Doshi, Sarthak Pati, Sung Min Ha, Chiharu Sako, Sanjay N. Talbar, Uday Kulkarni, Christos Davatzikos, Güray Erus, Spyridon Bakas:
Skull-Stripping of Glioblastoma MRI Scans Using 3D Deep Learning. BrainLes@MICCAI (1) 2019: 57-68 - [c154]Sarthak Pati, Ashish Singh, Saima Rathore, Aimilia Gastounioti, Mark Bergman, Phuc Ngo, Sung Min Ha, Dimitrios Bounias, James Minock, Grayson Murphy, Hongming Li, Amit Bhattarai, Adam Wolf, Patmaa Sridaran, Ratheesh Kalarot, Hamed Akbari, Aristeidis Sotiras, Siddhesh P. Thakur, Ragini Verma, Russell T. Shinohara, Paul A. Yushkevich, Yong Fan, Despina Kontos, Christos Davatzikos, Spyridon Bakas:
The Cancer Imaging Phenomics Toolkit (CaPTk): Technical Overview. BrainLes@MICCAI (2) 2019: 380-394 - [c153]Saima Rathore, Hamed Akbari, Spyridon Bakas, Jared Pisapia, Xiao Da, Donald M. O'Rourke, Christos Davatzikos:
Non-invasive transcriptomic classification of de novo Glioblastoma patients through multivariate quantitative analysis of baseline preoperative multimodal magnetic resonance imaging. Medical Imaging: Computer-Aided Diagnosis 2019: 1095043 - [c152]Ishaan Batta, Nicolas Honnorat, Christos Davatzikos:
Regularized topological data analysis for extraction of coherent brain regions. Medical Imaging: Image Processing 2019: 109490I - [c151]Dushyant Sahoo, Nicolas Honnorat, Christos Davatzikos:
Sparse low-dimensional causal modeling for the analysis of brain function. Medical Imaging: Image Processing 2019: 109492R - [i6]Dushyant Sahoo, Danielle S. Bassett, Christos Davatzikos:
Extraction of hierarchical functional connectivity components in human brain using resting-state fMRI. CoRR abs/1906.08365 (2019) - [i5]Jimit Doshi, Güray Erus, Mohamad Habes, Christos Davatzikos:
DeepMRSeg: A convolutional deep neural network for anatomy and abnormality segmentation on MR images. CoRR abs/1907.02110 (2019) - [i4]Y. Ye, Richard D. Boyce, M. K. Davis, Keith O. Elliston, Christos Davatzikos, Andrey Fedorov, Jean-Christophe Fillion-Robin, Ian T. Foster, John R. Gilbertson, Mervi Heiskanen, Juli D. Klemm, Andras Lasso, James V. Miller, M. Morgan, Steve Pieper, Brigitte Raumann, B. Sarachan, G. Savova, Jonathan C. Silverstein, D. Taylor, J. Zelnis, G. Q. Zhang, Michael J. Becich:
Open Source Software Sustainability Models: Initial White Paper from the Information Technology for Cancer Research Sustainability and Industry Partnership Work Group. CoRR abs/1912.12371 (2019) - 2018
- [j101]Güray Erus, Jimit Doshi, Yang An, Dimitris Verganelakis, Susan M. Resnick, Christos Davatzikos:
Longitudinally and inter-site consistent multi-atlas based parcellation of brain anatomy using harmonized atlases. NeuroImage 166: 71-78 (2018) - [j100]Adon F. G. Rosen, David R. Roalf, Kosha Ruparel, Jason Blake, Kevin Seelaus, Lakshmi P. Villa, Rastko Ciric, Philip A. Cook, Christos Davatzikos, Mark A. Elliott, Angel Garcia de La Garza, Efstathios D. Gennatas, Megan Quarmley, J. Eric Schmitt, Russell T. Shinohara, M. Dylan Tisdall, R. Cameron Craddock, Raquel E. Gur, Theodore D. Satterthwaite:
Quantitative assessment of structural image quality. NeuroImage 169: 407-418 (2018) - [j99]Deepthi P. Varikuti, Sarah Genon, Aristeidis Sotiras, Holger Schwender, Felix Hoffstaedter, Kaustubh R. Patil, Christiane Jockwitz, Svenja Caspers, Susanne Moebus, Katrin Amunts, Christos Davatzikos, Simon B. Eickhoff:
Evaluation of non-negative matrix factorization of grey matter in age prediction. NeuroImage 173: 394-410 (2018) - [j98]Erdem Varol, Aristeidis Sotiras, Christos Davatzikos:
MIDAS: Regionally linear multivariate discriminative statistical mapping. NeuroImage 174: 111-126 (2018) - [c150]Dushyant Sahoo, Nicolas Honnorat, Christos Davatzikos:
GPU accelerated extraction of sparse Granger causality patterns. ISBI 2018: 604-607 - [c149]Ke Zeng, Aristeidis Sotiras, Christos Davatzikos:
Statistically-constrained robust diffeomorphic registration. ISBI 2018: 1083-1087 - [c148]Erdem Varol, Aristeidis Sotiras, Christos Davatzikos:
Regionally discriminative multivariate statistical mapping. ISBI 2018: 1560-1563 - [c147]Nariman Jahani, Eric A. Cohen, Meng-Kang Hsieh, Susan P. Weinstein, Lauren Pantalone, Christos Davatzikos, Despina Kontos:
Deformable image registration as a tool to improve survival prediction after neoadjuvant chemotherapy for breast cancer: results from the ACRIN 6657/I-SPY-1 trial. Medical Imaging: Computer-Aided Diagnosis 2018: 105752S - [c146]Saima Rathore, Spyridon Bakas, Hamed Akbari, Gaurav Shukla, Martin Rozycki, Christos Davatzikos:
Deriving stable multi-parametric MRI radiomic signatures in the presence of inter-scanner variations: survival prediction of glioblastoma via imaging pattern analysis and machine learning techniques. Medical Imaging: Computer-Aided Diagnosis 2018: 1057509 - [c145]Xu Han, Spyridon Bakas, Roland Kwitt, Stephen R. Aylward, Hamed Akbari, Michel Bilello, Christos Davatzikos, Marc Niethammer:
Patient-Specific Registration of Pre-operative and Post-recurrence Brain Tumor MRI Scans. BrainLes@MICCAI (1) 2018: 105-114 - [c144]Samar S. M. Elsheikh, Spyridon Bakas, Nicola J. Mulder, Emile R. Chimusa, Christos Davatzikos, Alessandro Crimi:
Multi-stage Association Analysis of Glioblastoma Gene Expressions with Texture and Spatial Patterns. BrainLes@MICCAI (1) 2018: 239-250 - [c143]Erdem Varol, Aristeidis Sotiras, Ke Zeng, Christos Davatzikos:
Generative Discriminative Models for Multivariate Inference and Statistical Mapping in Medical Imaging. MICCAI (3) 2018: 540-548 - [c142]Saima Rathore, Hamed Akbari, Jimit Doshi, Gaurav Shukla, Martin Rozycki, Michel Bilello, Robert Lustig, Christos Davatzikos:
Technical note: a radiomic signature of infiltration in peritumoral edema predicts subsequent recurrence in glioblastoma. Medical Imaging: Image-Guided Procedures 2018: 105760O - [c141]Nicolas Honnorat, Christos Davatzikos:
High resolution robust and smooth precision matrices to capture functional connectivity. Medical Imaging: Image Processing 2018: 105742B - [c140]Nicolas Honnorat, Christos Davatzikos:
Extrapolated nonnegative decompositions for the analysis of functional connectivity. Medical Imaging: Image Processing 2018: 1057410 - [e4]Alejandro F. Frangi, Julia A. Schnabel, Christos Davatzikos, Carlos Alberola-López, Gabor Fichtinger:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I. Lecture Notes in Computer Science 11070, Springer 2018, ISBN 978-3-030-00927-4 [contents] - [e3]Alejandro F. Frangi, Julia A. Schnabel, Christos Davatzikos, Carlos Alberola-López, Gabor Fichtinger:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part II. Lecture Notes in Computer Science 11071, Springer 2018, ISBN 978-3-030-00933-5 [contents] - [e2]Alejandro F. Frangi, Julia A. Schnabel, Christos Davatzikos, Carlos Alberola-López, Gabor Fichtinger:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part III. Lecture Notes in Computer Science 11072, Springer 2018, ISBN 978-3-030-00930-4 [contents] - [e1]Alejandro F. Frangi, Julia A. Schnabel, Christos Davatzikos, Carlos Alberola-López, Gabor Fichtinger:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part IV. Lecture Notes in Computer Science 11073, Springer 2018, ISBN 978-3-030-00936-6 [contents] - [i3]Andreas Mang, Amir Gholami, Christos Davatzikos, George Biros:
PDE-constrained optimization in medical image analysis. CoRR abs/1803.00058 (2018) - [i2]Andreas Mang, Amir Gholami, Christos Davatzikos, George Biros:
CLAIRE: A distributed-memory solver for constrained large deformation diffeomorphic image registration. CoRR abs/1808.04487 (2018) - 2017
- [j97]Erdem Varol, Aristeidis Sotiras, Christos Davatzikos:
HYDRA: Revealing heterogeneity of imaging and genetic patterns through a multiple max-margin discriminative analysis framework. NeuroImage 145: 346-364 (2017) - [j96]Rastko Ciric, Daniel H. Wolf, Jonathan D. Power, David R. Roalf, Graham L. Baum, Kosha Ruparel, Russell T. Shinohara, Mark A. Elliott, Simon B. Eickhoff, Christos Davatzikos, Ruben C. Gur, Raquel E. Gur, Danielle S. Bassett, Theodore D. Satterthwaite:
Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity. NeuroImage 154: 174-187 (2017) - [j95]Saima Rathore, Mohamad Habes, Muhammad Aksam Iftikhar, Amanda Shacklett, Christos Davatzikos:
A review on neuroimaging-based classification studies and associated feature extraction methods for Alzheimer's disease and its prodromal stages. NeuroImage 155: 530-548 (2017) - [c139]Yong Fan, Christos Davatzikos:
Pattern recognition of functional brain networks. ICASSP 2017: 6309-6313 - [c138]Nicolas Honnorat, Christos Davatzikos:
Riccati-Regularized Precision Matrices for Neuroimaging. IPMI 2017: 275-286 - [c137]Linmin Pei, Syed M. S. Reza, Wei Li, Christos Davatzikos, Khan M. Iftekharuddin:
Improved brain tumor segmentation by utilizing tumor growth model in longitudinal brain MRI. Medical Imaging: Computer-Aided Diagnosis 2017: 101342L - [c136]