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Picture for Christos Davatzikos

Christos Davatzikos

from the iSTAGING consortium, for the ADNI

Disentangling Alzheimer's disease neurodegeneration from typical brain aging using machine learning


Sep 08, 2021
Gyujoon Hwang, Ahmed Abdulkadir, Guray 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 Marcus, Marilyn S. Albert, Nick R. Bryan, Susan M. Resnick, Ilya M. Nasrallah, Christos Davatzikos, David A. Wolk

* 4 figures, 3 tables 

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Harmonization with Flow-based Causal Inference


Jul 10, 2021
Rongguang Wang, Pratik Chaudhari, Christos Davatzikos


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The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification


Jul 05, 2021
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 Eddy, Julia Elliott, Walter Reade, Thomas Schaffter, Thomas Yu, Jiaxin Zheng, BraTS Annotators, Christos Davatzikos, John Mongan, Christopher Hess, Soonmee Cha, Javier Villanueva-Meyer, John B. Freymann, Justin S. Kirby, Benedikt Wiestler, Priscila Crivellaro, Rivka R. Colen, Aikaterini Kotrotsou, Daniel Marcus, Mikhail Milchenko, Arash Nazeri, Hassan Fathallah-Shaykh, Roland Wiest, Andras Jakab, Marc-Andre Weber, Abhishek Mahajan, Bjoern Menze, Adam E. Flanders, Spyridon Bakas

* 17 pages, 2 figures, 1 table 

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The Federated Tumor Segmentation (FeTS) Challenge


May 14, 2021
Sarthak Pati, Ujjwal Baid, Maximilian Zenk, Brandon Edwards, Micah 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 Marcus, Mikhail Milchenko, Arash Nazeri, Hassan Fathallah-Shaykh, Roland Wiest, Andras Jakab, Marc-Andre Weber, Abhishek Mahajan, Lena Maier-Hein, Jens Kleesiek, Bjoern Menze, Klaus Maier-Hein, Spyridon Bakas


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Learning Robust Hierarchical Patterns of Human Brain across Many fMRI Studies


May 13, 2021
Dushyant Sahoo, Christos Davatzikos


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Extraction of Hierarchical Functional Connectivity Components in human brain using Adversarial Learning


Apr 20, 2021
Dushyant Sahoo, Christos Davatzikos


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Embracing the Disharmony in Heterogeneous Medical Data


Mar 23, 2021
Rongguang Wang, Pratik Chaudhari, Christos Davatzikos

* Accepted by Med-NeurIPS 2020 

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GaNDLF: A Generally Nuanced Deep Learning Framework for Scalable End-to-End Clinical Workflows in Medical Imaging


Feb 26, 2021
Sarthak Pati, Siddhesh P. Thakur, Megh Bhalerao, Ujjwal Baid, Caleb Grenko, Brandon Edwards, Micah Sheller, Jose Agraz, Bhakti Baheti, Vishnu Bashyam, Parth Sharma, Babak Haghighi, Aimilia Gastounioti, Mark Bergman, Bjoern Menze, Despina Kontos, Christos Davatzikos, Spyridon Bakas


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Disentangling brain heterogeneity via semi-supervised deep-learning and MRI: dimensional representations of Alzheimer's Disease


Feb 24, 2021
Zhijian Yang, Ilya M. Nasrallah, Haochang Shou, Junhao Wen, Jimit Doshi, Mohamad Habes, Guray Erus, Ahmed Abdulkadir, Susan M. Resnick, David Wolk, Christos Davatzikos

* 37 pages, 11 figures 

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Medical Image Harmonization Using Deep Learning Based Canonical Mapping: Toward Robust and Generalizable Learning in Imaging


Oct 11, 2020
Vishnu M. Bashyam, Jimit Doshi, Guray 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 J. Grabe, Susan M. Resnick, R. Nick Bryan, David A. Wolk, Haochang Shou, Ilya M. Nasrallah, Christos Davatzikos


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A Deep Network for Joint Registration and Reconstruction of Images with Pathologies


Aug 17, 2020
Xu Han, Zhengyang Shen, Zhenlin Xu, Spyridon Bakas, Hamed Akbari, Michel Bilello, Christos Davatzikos, Marc Niethammer


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A review of deep learning in medical imaging: Image traits, technology trends, case studies with progress highlights, and future promises


Aug 02, 2020
S. Kevin Zhou, Hayit Greenspan, Christos Davatzikos, James S. Duncan, Bram van Ginneken, Anant Madabhushi, Jerry L. Prince, Daniel Rueckert, Ronald M. Summers

* 19 pages, 7 figures 

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MAGIC: Multi-scale Heterogeneity Analysis and Clustering for Brain Diseases


Jul 10, 2020
Junhao Wen, Erdem Varol, Ganesh Chand, Aristeidis Sotiras, Christos Davatzikos

* 11 pages, 3 figures, accepted by MICCAI2020 

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Smile-GANs: Semi-supervised clustering via GANs for dissecting brain disease heterogeneity from medical images


Jun 27, 2020
Zhijian Yang, Junhao Wen, Christos Davatzikos


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DeepMRSeg: A convolutional deep neural network for anatomy and abnormality segmentation on MR images


Jul 03, 2019
Jimit Doshi, Guray Erus, Mohamad Habes, Christos Davatzikos

* 18 pages, 8 figures, 3 tables 

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Extraction of hierarchical functional connectivity components in human brain using resting-state fMRI


Jun 27, 2019
Dushyant Sahoo, Danielle Bassett, Christos Davatzikos


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CLAIRE: A distributed-memory solver for constrained large deformation diffeomorphic image registration


Aug 13, 2018
Andreas Mang, Amir Gholami, Christos Davatzikos, George Biros


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PDE-constrained optimization in medical image analysis


Feb 28, 2018
Andreas Mang, Amir Gholami, Christos Davatzikos, George Biros


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Sparse Hierachical Extrapolated Parametric Methods for Cortical Data Analysis


Apr 27, 2017
Nicolas Honnorat, Christos Davatzikos

* Technical report (ongoing work) 

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