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The Medical Segmentation Decathlon


Jun 10, 2021
Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani, AnnetteKopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern Menze, Olaf Ronneberger, Ronald M. Summers, Bram van Ginneken, Michel Bilello, Patrick Bilic, Patrick F. Christ, Richard K. G. Do, Marc J. Gollub, Stephan H. Heckers, Henkjan Huisman, William R. Jarnagin, Maureen K. McHugo, Sandy Napel, Jennifer S. Goli Pernicka, Kawal Rhode, Catalina Tobon-Gomez, Eugene Vorontsov, Henkjan Huisman, James A. Meakin, Sebastien Ourselin, Manuel Wiesenfarth, Pablo Arbelaez, Byeonguk Bae, Sihong Chen, Laura 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


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Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation


Apr 20, 2021
Yingda Xia, Dong Yang, Wenqi Li, Andriy Myronenko, Daguang Xu, Hirofumi Obinata, Hitoshi Mori, Peng An, Stephanie Harmon, Evrim Turkbey, Baris Turkbey, Bradford Wood, Francesca Patella, Elvira Stellato, Gianpaolo Carrafiello, Anna Ierardi, Alan Yuille, Holger Roth


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Self-supervised Image-text Pre-training With Mixed Data In Chest X-rays


Mar 30, 2021
Xiaosong Wang, Ziyue Xu, Leo Tam, Dong Yang, Daguang Xu


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DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation


Mar 29, 2021
Yufan He, Dong Yang, Holger Roth, Can Zhao, Daguang Xu

* CVPR2021 oral 

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Test-Time Training for Deformable Multi-Scale Image Registration


Mar 25, 2021
Wentao Zhu, Yufang Huang, Daguang Xu, Zhen Qian, Wei Fan, Xiaohui Xie

* ICRA 2021 
* ICRA 2021; 8 pages, 4 figures, 2 big tables 

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UNETR: Transformers for 3D Medical Image Segmentation


Mar 18, 2021
Ali Hatamizadeh, Dong Yang, Holger Roth, Daguang Xu

* 11 pages, 2 figures 

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Diminishing Uncertainty within the Training Pool: Active Learning for Medical Image Segmentation


Jan 07, 2021
Vishwesh Nath, Dong Yang, Bennett A. Landman, Daguang Xu, Holger R. Roth

* IEEE Transactions on Medical Imaging, 2020 
* 19 pages, 13 figures, Transactions of Medical Imaging 

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Transformer Query-Target Knowledge Discovery (TEND): Drug Discovery from CORD-19


Dec 11, 2020
Leo K. Tam, Xiaosong Wang, Daguang Xu


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Federated Semi-Supervised Learning for COVID Region Segmentation in Chest CT using Multi-National Data from China, Italy, Japan


Nov 23, 2020
Dong Yang, Ziyue Xu, Wenqi Li, Andriy Myronenko, Holger R. Roth, Stephanie Harmon, Sheng Xu, Baris Turkbey, Evrim Turkbey, Xiaosong Wang, Wentao Zhu, Gianpaolo Carrafiello, Francesca Patella, Maurizio Cariati, Hirofumi Obinata, Hitoshi Mori, Kaku Tamura, Peng An, Bradford J. Wood, Daguang Xu

* Accepted with minor revision to Medical Image Analysis 

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Learning Image Labels On-the-fly for Training Robust Classification Models


Oct 02, 2020
Xiaosong Wang, Ziyue Xu, Dong Yang, Leo Tam, Holger Roth, Daguang Xu

* v2: Minor Corrections 

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Automated Pancreas Segmentation Using Multi-institutional Collaborative Deep Learning


Sep 28, 2020
Pochuan Wang, Chen Shen, Holger R. Roth, Dong Yang, Daguang Xu, Masahiro Oda, Kazunari Misawa, Po-Ting Chen, Kao-Lang Liu, Wei-Chih Liao, Weichung Wang, Kensaku Mori

* Accepted by MICCAI DCL Workshop 2020 

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Democratizing Artificial Intelligence in Healthcare: A Study of Model Development Across Two Institutions Incorporating Transfer Learning


Sep 25, 2020
Vikash Gupta1, Holger Roth, Varun Buch3, Marcio A. B. C. Rockenbach, Richard D White, Dong Yang, Olga Laur, Brian Ghoshhajra, Ittai Dayan, Daguang Xu, Mona G. Flores, Barbaros Selnur Erdal

* 8 pages, 5 figures, pre-print 

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Going to Extremes: Weakly Supervised Medical Image Segmentation


Sep 25, 2020
Holger R Roth, Dong Yang, Ziyue Xu, Xiaosong Wang, Daguang Xu

* 13 pages, 6 figures, 1 table 

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Deep Hiearchical Multi-Label Classification Applied to Chest X-Ray Abnormality Taxonomies


Sep 23, 2020
Haomin Chen, Shun Miao, Daguang Xu, Gregory D. Hager, Adam P. Harrison

* MEDIMA 101811, 5 September 2020 

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Federated Learning for Breast Density Classification: A Real-World Implementation


Sep 17, 2020
Holger R. Roth, Ken Chang, Praveer Singh, Nir Neumark, Wenqi Li, Vikash Gupta, Sharut Gupta, Liangqiong Qu, Alvin Ihsani, Bernardo C. Bizzo, Yuhong Wen, Varun Buch, Meesam Shah, Felipe Kitamura, Matheus Mendonça, Vitor Lavor, Ahmed Harouni, Colin Compas, Jesse Tetreault, Prerna Dogra, Yan Cheng, Selnur Erdal, Richard White, Behrooz Hashemian, Thomas Schultz, Miao Zhang, Adam McCarthy, B. Min Yun, Elshaimaa Sharaf, Katharina V. Hoebel, Jay B. Patel, Bryan Chen, Sean Ko, Evan Leibovitz, Etta D. Pisano, Laura Coombs, Daguang Xu, Keith J. Dreyer, Ittai Dayan, Ram C. Naidu, Mona Flores, Daniel Rubin, Jayashree Kalpathy-Cramer

* Accepted at the 1st MICCAI Workshop on "Distributed And Collaborative Learning"; add citation to Fig. 1 & 2 and update Fig. 5 

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Weakly supervised one-stage vision and language disease detection using large scale pneumonia and pneumothorax studies


Jul 31, 2020
Leo K. Tam, Xiaosong Wang, Evrim Turkbey, Kevin Lu, Yuhong Wen, Daguang Xu

* Accepted at Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2020 

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Multi-Domain Image Completion for Random Missing Input Data


Jul 10, 2020
Liyue Shen, Wentao Zhu, Xiaosong Wang, Lei Xing, John M. Pauly, Baris Turkbey, Stephanie Anne Harmon, Thomas Hogue Sanford, Sherif Mehralivand, Peter Choyke, Bradford Wood, Daguang Xu


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Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation


Jun 28, 2020
Yingda Xia, Dong Yang, Zhiding Yu, Fengze Liu, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan Yuille, Holger Roth

* Medical Image Analysis, 2020 
* 19 pages, 6 figures, to appear in Medical Image Analysis. This article is an extension of the conference paper arXiv:1811.12506 

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LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation


Jun 26, 2020
Wentao Zhu, Can Zhao, Wenqi Li, Holger Roth, Ziyue Xu, Daguang Xu

* MICCAI 2020 Early Accepted paper. Code is available\footnote{https://monai.io/research/lamp-automated-model-parallelism

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Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation


Jun 10, 2020
Dong Yang, Holger Roth, Ziyue Xu, Fausto Milletari, Ling Zhang, Daguang Xu

* Published at MICCAI 2019 
* 9 pages, 1 figures 

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Enhancing Foreground Boundaries for Medical Image Segmentation


May 29, 2020
Dong Yang, Holger Roth, Xiaosong Wang, Ziyue Xu, Andriy Myronenko, Daguang Xu


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The Future of Digital Health with Federated Learning


Mar 18, 2020
Nicola Rieke, Jonny Hancox, Wenqi Li, Fausto Milletari, Holger Roth, Shadi Albarqouni, Spyridon Bakas, Mathieu N. Galtier, Bennett Landman, Klaus Maier-Hein, Sebastien Ourselin, Micah Sheller, Ronald M. Summers, Andrew Trask, Daguang Xu, Maximilian Baust, M. Jorge Cardoso


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When Radiology Report Generation Meets Knowledge Graph


Feb 19, 2020
Yixiao Zhang, Xiaosong Wang, Ziyue Xu, Qihang Yu, Alan Yuille, Daguang Xu


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VerSe: A Vertebrae Labelling and Segmentation Benchmark


Jan 24, 2020
Anjany Sekuboyina, Amirhossein Bayat, Malek E. Husseini, Maximilian Löffler, Markus Rempfler, Jan Kukačka, Giles Tetteh, Alexander Valentinitsch, Christian Payer, Martin Urschler, Maodong Chen, Dalong Cheng, Nikolas Lessmann, Yujin Hu, Tianfu Wang, Dong Yang, Daguang Xu, Felix Ambellan, Stefan Zachowk, Tao Jiang, Xinjun Ma, Christoph Angerman, Xin Wang, Qingyue Wei, Kevin Brown, Matthias Wolf, Alexandre Kirszenberg, Élodie Puybareauq, Björn H. Menze, Jan S. Kirschke


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C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation


Dec 20, 2019
Qihang Yu, Dong Yang, Holger Roth, Yutong Bai, Yixiao Zhang, Alan L. Yuille, Daguang Xu


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End-to-End Adversarial Shape Learning for Abdomen Organ Deep Segmentation


Oct 15, 2019
Jinzheng Cai, Yingda Xia, Dong Yang, Daguang Xu, Lin Yang, Holger Roth

* Accepted to International Workshop on Machine Learning in Medical Imaging (MLMI2019) 

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