Paper

HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D Medical Image Segmentation using HyperNet

Cheng Peng, Andriy Myronenko, Ali Hatamizadeh, Vish Nath, Md Mahfuzur Rahman Siddiquee, Yufan He, Daguang Xu, Rama Chellappa, Dong Yang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), ( 2022 )

Self-supervised pre-training of swin transformers for 3d medical image analysis

Yucheng Tang, Dong Yang, Wenqi Li, Holger Roth, Bennett Landman, Daguang Xu, Vishwesh Nath, Ali Hatamizadeh
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), ( 2022 )

Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation

An Xu，Wenqi Li，Pengfei Guo，Dong Yang，Holger Roth，Ali Hatamizadeh，Can Zhao，Daguang Xu，Heng Huang，Ziyue Xu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), ( 2022 )

GradViT: Gradient Inversion of Vision Transformers

Ali Hatamizadeh, Hongxu Yin, Holger Roth, Wenqi Li, Jan Kautz, Daguang Xu, Pavlo Molchanov
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), ( 2022 )

Do Gradient Inversion Attacks Make Federated Learning Unsafe?

Ali Hatamizadeh, Hongxu Yin, Pavlo Molchanov, Andriy Myronenko, Wenqi Li, Prerna Dogra, Andrew Feng, Mona G. Flores, Jan Kautz, Daguang Xu, Holger R. Roth
arXiv:2202.06924, ( 2022 )

Deep learning-based artificial intelligence for prostate cancer detection at biparametric MRI

Sherif Mehralivand, Dong Yang, Stephanie A Harmon, Daguang Xu, Ziyue Xu, Holger Roth, Samira Masoudi, Deepak Kesani, Nathan Lay, Maria J Merino, Bradford J Wood, Peter A Pinto, Peter L Choyke, Baris Turkbey
Abdominal Radiology, ( 2022 )

Automatic detection of decreased ejection fraction and left ventricular hypertrophy on 4D cardiac CTA: Use of artificial intelligence with transfer learning to facilitate multi-site operations

Marcio ABC Rockenbach, Varun Buch, Vikash Gupta, Gopal K Kotecha, Olga Laur, Barbaros S Erdal, Dong Yang, Daguang Xu, Brian B Ghoshhajra, Mona G Flores, Ittai Dayan, Holger Roth, Richard D White
Intelligence-Based Medicine, ( 2022 )

Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images

Ali Hatamizadeh, Vishwesh Nath, Yucheng Tang, Dong Yang, Holger Roth, Daguang Xu
arXiv preprint arXiv:2201.01266, ( 2022 )

UNETR: Transformers for 3D Medical Image Segmentation

Ali Hatamizadeh, Yucheng Tang, Vishwesh Nath, Dong Yang, Andriy Myronenko, Bennett Landman, Holger R. Roth, Daguang Xu
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), ( 2022 )

Federated learning for predicting clinical outcomes in patients with COVID-19

Ittai Dayan, Holger R Roth, Aoxiao Zhong, Ahmed Harouni, Amilcare Gentili, Anas Z Abidin, Andrew Liu, Anthony Beardsworth Costa, Bradford J Wood, Chien-Sung Tsai, Chih-Hung Wang, Chun-Nan Hsu, CK Lee, Peiying Ruan, Daguang Xu, Dufan Wu, Eddie Huang, Felipe Campos Kitamura, Griffin Lacey, Gustavo César de Antônio Corradi, Gustavo Nino, Hao-Hsin Shin, Hirofumi Obinata, Hui Ren, Jason C Crane, Jesse Tetreault, Jiahui Guan, John W Garrett, Joshua D Kaggie, Jung Gil Park, Keith Dreyer, Krishna Juluru, Kristopher Kersten, Marcio Aloisio Bezerra Cavalcanti Rockenbach, Marius George Linguraru, Masoom A Haider, Meena AbdelMaseeh, Nicola Rieke, Pablo F Damasceno, Pochuan Wang, Sheng Xu, Shuichi Kawano, Sira Sriswasdi, Soo Young Park, Thomas M Grist, Varun Buch, Watsamon Jantarabenjakul, Weichung Wang, Won Young Tak, Xiang Li, Xihong Lin, Young Joon Kwon, Abood Quraini, Andrew Feng, Andrew N Priest, Baris Turkbey, Benjamin Glicksberg, Bernardo Bizzo, Byung Seok Kim, Carlos Tor-Díez, Chia-Cheng Lee, Chia-Jung Hsu, Chin Lin, Chiu-Ling Lai, Christopher P Hess, Colin Compas, Deepeksha Bhatia, Eric K Oermann, Evan Leibovitz, Hisashi Sasaki, Hitoshi Mori, Isaac Yang, Jae Ho Sohn, Krishna Nand Keshava Murthy, Li-Chen Fu, Matheus Ribeiro Furtado de Mendonça, Mike Fralick, Min Kyu Kang, Mohammad Adil, Natalie Gangai, Peerapon Vateekul, Pierre Elnajjar, Sarah Hickman, Sharmila Majumdar, Shelley L McLeod, Sheridan Reed, Stefan Gräf, Stephanie Harmon, Tatsuya Kodama, Thanyawee Puthanakit, Tony Mazzulli, Vitor Lima de Lavor, Yothin Rakvongthai, Yu Rim Lee, Yuhong Wen, Fiona J Gilbert, Mona G Flores, Quanzheng Li
Nature medicine 27, no. 10, ( 2021 )

Multi-task Federated Learning for Heterogeneous Pancreas Segmentation

Chen Shen, Pochuan Wang, Holger R Roth, Dong Yang, Daguang Xu, Masahiro Oda, Weichung Wang, Chiou-Shann Fuh, Po-Ting Chen, Kao-Lang Liu, Wei-Chih Liao, Kensaku Mori
Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning, pp. 101-110. Springer, Cham, ( 2021 )

MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation

Alexandros Karargyris, Renato Umeton, Micah J Sheller, Alejandro Aristizabal, Johnu George, Srini Bala, Daniel J Beutel, Victor Bittorf, Akshay Chaudhari, Alexander Chowdhury, Cody Coleman, Bala Desinghu, Gregory Diamos, Debo Dutta, Diane Feddema, Grigori Fursin, Junyi Guo, Xinyuan Huang, David Kanter, Satyananda Kashyap, Nicholas Lane, Indranil Mallick, Pietro Mascagni, Virendra Mehta, Vivek Natarajan, Nikola Nikolov, Nicolas Padoy, Gennady Pekhimenko, Vijay Janapa Reddi, G Anthony Reina, Pablo Ribalta, Jacob Rosenthal, Abhishek Singh, Jayaraman J Thiagarajan, Anna Wuest, Maria Xenochristou, Daguang Xu, Poonam Yadav, Michael Rosenthal, Massimo Loda, Jason M Johnson, Peter Mattson
arXiv preprint arXiv:2110.01406, ( 2021 )

A Cascaded Deep Learning–Based Artificial Intelligence Algorithm for Automated Lesion Detection and Classification on Biparametric Prostate Magnetic Resonance Imaging

Sherif Mehralivand, Dong Yang, Stephanie A Harmon, Daguang Xu, Ziyue Xu, Holger Roth, Samira Masoudi, Thomas H Sanford, Deepak Kesani, Nathan S Lay, Maria J Merino, Bradford J Wood, Peter A Pinto, Peter L Choyke, Baris Turkbey
Academic Radiology, ( 2021 )

Improving Pneumonia Localization via Cross-Attention on Medical Images and Reports

Riddhish Bhalodia, Ali Hatamizadeh, Leo Tam, Ziyue Xu, Xiaosong Wang, Evrim Turkbey, Daguang Xu
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), pp. 571-581. Springer, Cham, ( 2021 )

Accounting for Dependencies in Deep Learning Based Multiple Instance Learning for Whole Slide Imaging

Andriy Myronenko, Ziyue Xu, Dong Yang, Holger R Roth, Daguang Xu
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), pp. 329-338. Springer, Cham, ( 2021 )

Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures

Holger R Roth, Dong Yang, Wenqi Li, Andriy Myronenko, Wentao Zhu, Ziyue Xu, Xiaosong Wang, Daguang Xu
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), pp. 357-366. Springer, Cham, ( 2021 )

The Power of Proxy Data and Proxy Networks for Hyper-Parameter Optimization in Medical Image Segmentation

Vishwesh Nath, Dong Yang, Ali Hatamizadeh, Anas A Abidin, Andriy Myronenko, Holger R Roth, Daguang Xu
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), pp. 456-465. Springer, Cham, ( 2021 )

PD56-08 A DEEP LEARNING–BASED ALGORITHM FOR AUTOMATED DETECTION AND CLASSIFICATION OF PROSTATE LESIONS ON BIPARAMETRIC MAGNETIC RESONANCE IMAGING

Sherif Mehralivand, Dong Yang, Daguang Xu, Ziyue Xu, Holger Roth, Stephanie Harmon, Samira Masoudi, Thomas Sanford, Deepak Kesani, Nathan Lay, Bradford Wood, Peter Choyke, Peter Pinto, Baris Turkbey
The Journal of Urology 206, no. Supplement 3, ( 2021 )

PD10-03 DEEP LEARNING BASED ASSESSMENT OF PROSTATE LESION DYNAMICS ON MULTIPARAMETRIC MRI DURING ACTIVE SURVEILLANCE

Michael Daneshvar, Stephanie Harmon, Nitin Yerram, Luke O’Connor, Alex Wang, Sherif Mehralivand, Samira Masoudi, Dong Yang, Ziyue Xu, Daguang Xu, Maria Merino, Brad Wood, Peter Choyke, Peter Pinto, Ismail Turkbey
The Journal of Urology 206, no. Supplement 3, ( 2021 )

PD56-06 AUTOMATED DETECTION OF PROSTATE CANCER LESIONS BASED ON TARGETED BIOPSY ON MULTIPARAMETRIC MAGNETIC RESONANCE IMAGING USING DEEP LEARNING

Sherif Mehralivand, Dong Yang, Daguang Xu, Ziyue Xu, Holger Roth, Stephanie Harmon, Nathan Lay, Maria Merino, Bradford Wood, Peter Choyke, Peter Pinto, Baris Turkbey
The Journal of Urology 206, no. Supplement 3, ( 2021 )

The Medical Segmentation Decathlon

Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani, Bennett A Landman, Geert Litjens, Bjoern Menze, Olaf Ronneberger, Ronald M Summers, Bram van Ginneken, Michel Bilello, Patrick Bilic, Patrick F Christ, Richard KG 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, 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
arXiv preprint arXiv:2106.05735, ( 2021 )

Rapid Artificial Intelligence Solutions in a Pandemic-The COVID-19-20 Lung CT Lesion Segmentation Challenge

Holger Roth, Ziyue Xu, Carlos Tor Diez, Ramon Sanchez Jacob, Jonathan Zember, Jose Molto, Wenqi Li, Sheng Xu, Baris Turkbey, Evrim Turkbey, Dong Yang, Ahmed Harouni, Nicola Rieke, Shishuai Hu, Fabian Isensee, Claire Tang, Qinji Yu, Jan Sölter, Tong Zheng, Vitali Liauchuk, Ziqi Zhou, Jan Moltz, Bruno Oliveira, Yong Xia, Klaus Maier-Hein, Qikai Li, Andreas Husch, Luyang Zhang, Vassili Kovalev, Li Kang, Alessa Hering, João Vilaça, Mona Flores, Daguang Xu, Bradford Wood, Marius Linguraru
Journal of the American Medical Informatics Association, ( 2021 )

Federated learning improves site performance in multicenter deep learning without data sharing

Karthik V Sarma, Stephanie Harmon, Thomas Sanford, Holger R Roth, Ziyue Xu, Jesse Tetreault, Daguang Xu, Mona G Flores, Alex G Raman, Rushikesh Kulkarni, Bradford J Wood, Peter L Choyke, Alan M Priester, Leonard S Marks, Steven S Raman, Dieter Enzmann, Baris Turkbey, William Speier, Corey W Arnold
Journal of the American Medical Informatics Association, ( 2021 )

Going to Extremes: Weakly Supervised Medical Image Segmentation

Holger R Roth, Dong Yang, Ziyue Xu, Xiaosong Wang, Daguang Xu
Multidisciplinary Digital Publishing Institute, ( 2021 )

Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan

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
Medical image analysis, ( 2021 )

CT and clinical assessment in asymptomatic and pre-symptomatic patients with early SARS-CoV-2 in outbreak settings

Nicole Varble, Maxime Blain, Michael Kassin, Sheng Xu, Evrim B Turkbey, Amel Amalou, Dilara Long, Stephanie Harmon, Thomas Sanford, Dong Yang, Ziyue Xu, Daguang Xu, Mona Flores, Peng An, Gianpaolo Carrafiello, Hirofumi Obinata, Hitoshi Mori, Kaku Tamura, Ashkan A Malayeri, Steven M Holland, Tara Palmore, Kaiyuan Sun, Baris Turkbey, Bradford J Wood
European radiology, ( 2021 )

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

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
arXiv preprint arXiv:2104.10195, ( 2021 )

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

Xiaosong Wang, Ziyue Xu, Leo Tam, Dong Yang, Daguang Xu
arXiv preprint arXiv:2103.16022, ( 2021 )

Test-Time Training for Deformable Multi-Scale Image Registration

Wentao Zhu, Yufang Huang, Daguang Xu, Zhen Qian, Wei Fan, Xiaohui Xie
arXiv preprint arXiv:2103.13578, ( 2021 )

Generalized chest CT and lab curves throughout the course of COVID-19

Michael T Kassin, Nicole Varble, Maxime Blain, Sheng Xu, Evrim B Turkbey, Stephanie Harmon, Dong Yang, Ziyue Xu, Holger Roth, Daguang Xu, Mona Flores, Amel Amalou, Kaiyun Sun, Sameer Kadri, Francesca Patella, Maurizio Cariati, Alice Scarabelli, Elvira Stellato, Anna Maria Ierardi, Gianpaolo Carrafiello, Peng An, Baris Turkbey, Bradford J Wood
Scientific reports, ( 2021 )

Unetr: Transformers for 3d medical image segmentation

Ali Hatamizadeh, Dong Yang, Holger Roth, Daguang Xu
arXiv preprint arXiv:2103.10504, ( 2021 )

Federated Learning used for predicting outcomes in SARS-COV-2 patients

Mona Flores, Ittai Dayan, Holger Roth, Aoxiao Zhong, Ahmed Harouni, Amilcare Gentili, Anas Abidin, Andrew Liu, Anthony Costa, Bradford Wood, Chien-Sung Tsai, Chih-Hung Wang, Chun-Nan Hsu, CK Lee, Colleen Ruan, Daguang Xu, Dufan Wu, Eddie Huang, Felipe Kitamura, Griffin Lacey, Gustavo César de Antônio Corradi, Hao-Hsin Shin, Hirofumi Obinata, Hui Ren, Jason Crane, Jesse Tetreault, Jiahui Guan, John Garrett, Jung Gil Park, Keith Dreyer, Krishna Juluru, Kristopher Kersten, Marcio Aloisio Bezerra Cavalcanti Rockenbach, Marius Linguraru, Masoom Haider, Meena AbdelMaseeh, Nicola Rieke, Pablo Damasceno, Pedro Mario Cruz e Silva, Pochuan Wang, Sheng Xu, Shuichi Kawano, Sira Sriswa, Soo Young Park, Thomas Grist, Varun Buch, Watsamon Jantarabenjakul, Weichung Wang, Won Young Tak, Xiang Li, Xihong Lin, Fred Kwon, Fiona Gilbert, Josh Kaggie, Quanzheng Li, Abood Quraini, Andrew Feng, Andrew Priest, Baris Turkbey, Benjamin Glicksberg, Bernardo Bizzo, Byung Seok Kim, Carlos Tor-Diez, Chia-Cheng Lee, Chia-Jung Hsu, Chin Lin, Chiu-Ling Lai, Christopher Hess, Colin Compas, Deepi Bhatia, Eric Oermann, Evan Leibovitz, Hisashi Sasaki, Hitoshi Mori, Isaac Yang, Jae Ho Sohn, Krishna Nand Keshava Murthy, Li-Chen Fu, Matheus Ribeiro Furtado de Mendonça, Mike Fralick, Min Kyu Kang, Mohammad Adil, Natalie Gangai, Peerapon Vateekul, Pierre Elnajjar, Sarah Hickman, Sharmila Majumdar, Shelley McLeod, Sheridan Reed, Stefan Graf, Stephanie Harmon, Tatsuya Kodama, Thanyawee Puthanakit, Tony Mazzulli, Vitor de Lima Lavor, Yothin Rakvongthai, Yu Rim Lee, Yuhong Wen
Research Square, ( 2021 )

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

Yufan He, Dong Yang, Holger Roth, Can Zhao, Daguang Xu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (oral), ( 2021 )

Determination of disease severity in COVID-19 patients using deep learning in chest X-ray images

Maxime Blain, Michael T Kassin, Nicole Varble, Xiaosong Wang, Ziyue Xu, Daguang Xu, Gianpaolo Carrafiello, Valentina Vespro, Elvira Stellato, Anna Maria Ierardi, Letizia Di Meglio, Robert D Suh, Stephanie A Walker, Sheng Xu, Thomas H Sanford, Evrim B Turkbey, Stephanie Harmon, Baris Turkbey, Bradford J Wood
Diagnostic and interventional radiology, ( 2021 )

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

Vishwesh Nath, Dong Yang, Bennett A Landman, Daguang Xu, Holger R Roth
IEEE Transactions on Medical Imaging, ( 2020 )

Multi-domain image completion for random missing input data

Liyue Shen, Wentao Zhu, Xiaosong Wang, Lei Xing, John M Pauly, Baris Turkbey, Stephanie Anne Harmon, Thomas Hogue Sanford, Sherif Mehralivand, Peter L Choyke, Bradford J Wood, Daguang Xu
IEEE Transactions on Medical Imaging, ( 2020 )

Correction to: CT and clinical assessment in asymptomatic and pre-symptomatic patients with early SARS-CoV-2 in outbreak settings

Data augmentation and transfer learning to improve generalizability of an automated prostate segmentation model

Thomas H Sanford, Ling Zhang, Stephanie A Harmon, Jonathan Sackett, Dong Yang, Holger Roth, Ziyue Xu, Deepak Kesani, Sherif Mehralivand, Ronaldo H Baroni, Tristan Barrett, Rossano Girometti, Aytekin Oto, Andrei S Purysko, Sheng Xu, Peter A Pinto, Daguang Xu, Bradford J Wood, Peter L Choyke, Baris Turkbey
American Journal of Roentgenology, ( 2020 )

Deep hiearchical multi-label classification applied to chest X-ray abnormality taxonomies

Haomin Chen, Shun Miao, Daguang Xu, Gregory D Hager, Adam P Harrison
Medical image analysis, ( 2020 )

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

Leo K Tam, Xiaosong Wang, Daguang Xu
arXiv preprint arXiv:2012.04682, ( 2020 )

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

CT and clinical assessment in asymptomatic and pre-symptomatic patients with early SARS-CoV-2 in outbreak settings

Data Augmentation and Transfer Learning to Improve Generalizability of an Automated Prostate Segmentation Model

Automated Pancreas Segmentation Using Multi-institutional Collaborative Deep Learning

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
Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, ( 2020 )

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

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
Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, ( 2020 )

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

Leo K Tam, Xiaosong Wang, Evrim Turkbey, Kevin Lu, Yuhong Wen, Daguang Xu
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), ( 2020 )

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

Wentao Zhu, Can Zhao, Wenqi Li, Holger Roth, Ziyue Xu, Daguang Xu
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), ( 2020 )

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

Yingda Xia, Dong Yang, Zhiding Yu, Fengze Liu, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan Yuille, Holger Roth
Medical Image Analysis, ( 2020 )

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

Vikash Gupta, Holger Roth, Varun Buch, Marcio ABC Rockenbach, Richard D White, Dong Yang, Olga Laur, Brian Ghoshhajra, Ittai Dayan, Daguang Xu, Mona G Flores, Barbaros Selnur Erdal
arXiv preprint arXiv:2009.12437, ( 2020 )

Going to Extremes: Weakly Supervised Medical Image Segmentation

Holger R Roth, Dong Yang, Ziyue Xu, Xiaosong Wang, Daguang Xu
arXiv preprint arXiv:2009.11988, ( 2020 )

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

Xiaosong Wang, Ziyue Xu, Dong Yang, Leo Tam, Holger Roth, Daguang Xu
arXiv preprint arXiv:2009.10325, ( 2020 )

Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets

Stephanie A Harmon, Thomas H Sanford, Sheng Xu, Evrim B Turkbey, Holger Roth, Ziyue Xu, Dong Yang, Andriy Myronenko, Victoria Anderson, Amel Amalou, Maxime Blain, Michael Kassin, Dilara Long, Nicole Varble, Stephanie M Walker, Ulas Bagci, Anna Maria Ierardi, Elvira Stellato, Guido Giovanni Plensich, Giuseppe Franceschelli, Cristiano Girlando, Giovanni Irmici, Dominic Labella, Dima Hammoud, Ashkan Malayeri, Elizabeth Jones, Ronald M Summers, Peter L Choyke, Daguang Xu, Mona Flores, Kaku Tamura, Hirofumi Obinata, Hitoshi Mori, Francesca Patella, Maurizio Cariati, Gianpaolo Carrafiello, Peng An, Bradford J Wood, Baris Turkbey
Nature communications, ( 2020 )

Multi-domain image completion for random missing input data

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
IEEE Transactions on Medical Imaging, ( 2020 )

Determination of disease severity in COVID-19 patients using deep learning in chest X-ray images

Enhancing Foreground Boundaries for Medical Image Segmentation

Dong Yang, Holger Roth, Xiaosong Wang, Ziyue Xu, Andriy Myronenko, Daguang Xu
Medical Imaging with Deep Learning (MIDL), ( 2020 )

Correlation via synthesis: end-to-end nodule image generation and radiogenomic map learning based on generative adversarial network

Ziyue Xu, Xiaosong Wang, Hoo-Chang Shin, Dong Yang, Holger Roth, Fausto Milletari, Ling Zhang, Daguang Xu
Medical Imaging with Deep Learning (MIDL), ( 2020 )

The Future of Digital Health with Federated Learning

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
NPJ Digital Medicine ( 2020 )

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

Qihang Yu, Dong Yang, Holger Roth, Yutong Bai, Yixiao Zhang, Alan L Yuille, Daguang Xu
In Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR) ( 2020 )

When Radiology Report Generation Meets Knowledge Graph

Yixiao Zhang, Xiaosong Wang, Ziyue Xu, Qihang Yu, Alan Yuille, Daguang Xu
Thirty-Four AAAI Conference on Artificial Intelligence ( 2020 )

NeurReg: Neural Registration and Its Application to Image Segmentation

Wentao Zhu, Andriy Myronenko, Ziyue Xu, Wenqi Li, Holger Roth, Yufang Huang, Fausto Milletari, Daguang Xu
Winter Conference on Applications of Computer Vision (WACV) ( 2020 )

3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training

Yingda Xia, Fengze Liu, Dong Yang, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan Yuille, Holger Roth
Winter Conference on Applications of Computer Vision (WACV)（2020）

V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation

Zhuotun Zhu, Chenxi Liu, Dong Yang, Alan Yuille, Daguang Xu
International Conference on 3D Vision (3DV) ( 2019 )

Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation

Ling Zhang, Xiaosong Wang, Dong Yang, Thomas Sanford, Stephanie Harmon, Baris Turkbey, Holger Roth, Andriy Myronenko, Daguang Xu, Ziyue Xu
IEEE Transactions on Medical Imaging ( 2020)

4D CNN for semantic segmentation of cardiac volumetric sequences

Andriy Myronenko, Dong Yang, Varun Buch, Daguang Xu, Alvin Ihsani, Sean Doyle, Mark Michalski, Neil Tenenholtz, Holger Roth
10th Workshop on Statistical Atlases and Computational Modelling of the Heart (STACOM) ( 2019 )

Neural Multi-Scale Self-Supervised Registration for Echocardiogram Dense Tracking

Wentao Zhu, Yufang Huang, Mani A Vannan, Shizhen Liu, Daguang Xu, Wei Fan, Zhen Qian, Xiaohui Xie
arXiv preprint arXiv:1906.07357 ( 2019 )

Combo loss: Handling input and output imbalance in multi-organ segmentation

Saeid Asgari Taghanaki, Yefeng Zheng, S Kevin Zhou, Bogdan Georgescu, Puneet Sharma, Daguang Xu, Dorin Comaniciu, Ghassan Hamarneh
Computerized Medical Imaging and Graphics, 24-33 ( 2019 )

Cardiac Segmentation of LGE MRI with Noisy Labels

Holger Roth, Wentao Zhu, Dong Yang, Ziyue Xu, Daguang Xu
10th Workshop on Statistical Atlases and Computational Modelling of the Heart (STACOM), ( 2019 )

Privacy-preserving Federated Brain Tumour Segmentation

Wenqi Li, Fausto Milletarì, Daguang Xu, Nicola Rieke, Jonny Hancox, Wentao Zhu, Maximilian Baust, Yan Cheng, Sébastien Ourselin, M Jorge Cardoso, Andrew Feng
International Workshop on Machine Learning in Medical Imaging (MLMI) ( 2019 )

Weakly supervised segmentation from extreme points

Holger Roth, Ling Zhang, Dong Yang, Fausto Milletari, Ziyue Xu, Xiaosong Wang, Daguang Xu
Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention (LABELS) ( 2019 )

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

Jinzheng Cai, Yingda Xia, Dong Yang, Daguang Xu, Lin Yang, Holger Roth
International Workshop on Machine Learning in Medical Imaging(MLMI) ( 2019 )

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

Dong Yang, Holger Roth, Ziyue Xu, Fausto Milletari, Ling Zhang, Daguang Xu
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) ( 2019 )

Tunable CT Lung Nodule Synthesis Conditioned on Background Image and Semantic Features

Ziyue Xu, Xiaosong Wang, Hoo-Chang Shin, Holger Roth, Dong Yang, Fausto Milletari, Ling Zhang, Daguang Xu
International Workshop on Simulation and Synthesis in Medical Imaging (SASHIMI) ( 2019 )

Integrating 3D Geometry of Organ for Improving Medical Image Segmentation

Jiawen Yao, Jinzheng Cai, Dong Yang, Daguang Xu, Junzhou Huang
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) ( 2019 )

Interactive 3D Segmentation Editing and Refinement via Gated Graph Neural Networks

Xiaosong Wang, Ling Zhang, Holger Roth, Daguang Xu, Ziyue Xu
International Workshop on Graph Learning in Medical Imaging (GLMI) ( 2019 )

An Alarm System For Segmentation Algorithm Based On Shape Model

Fengze Liu, Yingda Xia, Dong Yang, Alana Yuille, Daguang Xu
International Conference on Computer Vision (ICCV) ( 2019 )

Interactive segmentation of medical images through fully convolutional neural networks

Tomas Sakinis, Fausto Milletari, Holger Roth, Panagiotis Korfiatis, Petro Kostandy, Kenneth Philbrick, Zeynettin Akkus, Ziyue Xu, Daguang Xu, Bradley J Erickson
arXiv preprint arXiv:1903.08205 ( 2019 )

Deep Hierarchical Multi-label Classification of Chest X-ray Images

Haomin Chen, Shun Miao, Daguang Xu, Gregory D Hager, Adam P Harrison

Medical Imaging with Deep Learning (MIDL) (oral) ( 2019 )

3d anisotropic hybrid network: Transferring convolutional features from 2d images to 3d anisotropic volumes

Siqi Liu, Daguang Xu, S Kevin Zhou, Olivier Pauly, Sasa Grbic, Thomas Mertelmeier, Julia Wicklein, Anna Jerebko, Weidong Cai, Dorin Comaniciu

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) ( 2018 )

Supervised Action Classifier: Approaching Landmark Detection as Image Partitioning

Zhoubing Xu, Qiangui Huang, JinHyeong Park, Mingqing Chen, Daguang Xu, Dong Yang, David Liu, S Kevin Zhou
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) ( 2017 )

Deep Image-to-Image Recurrent Network with Shape Basis Learning for Automatic Vertebra Labeling in Large-Scale 3D CT Volumes

Dong Yang, Tao Xiong, Daguang Xu, S Kevin Zhou, Zhoubing Xu, Mingqing Chen, JinHyeong Park, Sasa Grbic, Trac D Tran, Sang Peter Chin, Dimitris Metaxas, Dorin Comaniciu
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) ( 2017 )

Automatic liver segmentation using an adversarial image-to-image network

Dong Yang, Daguang Xu, S Kevin Zhou, Bogdan Georgescu, Mingqing Chen, Sasa Grbic, Dimitris Metaxas, Dorin Comaniciu
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) ( 2017 )

Automatic vertebra labeling in large-scale 3D CT using deep image-to-image network with message passing and sparsity regularization

Dong Yang, Tao Xiong, Daguang Xu, Qiangui Huang, David Liu, S Kevin Zhou, Zhoubing Xu, JinHyeong Park, Mingqing Chen, Trac D Tran, Sang Peter Chin, Dimitris Metaxas, Dorin Comaniciu
International
Conference on Information Processing in Medical Imaging (IPMI) ( 2017 )

Robust 3d organ localization with dual learning architectures and fusion

Xiaoguang Lu, Daguang Xu, David Liu
Proceedings of 2nd workshop on Deep Learning in Medical Image Analysis (DLMIA) ( 2016 )

Graphics processing unit-accelerated real-time compressive sensing spectral domain optical coherence tomography

Daguang Xu, Yong Huang, Jin U Kang
Proc. SPIE ( 2015 )

Volumetric (3D) compressive sensing spectral domain optical coherence tomography

Daguang Xu, Yong Huang, Jin U Kang
Biomedical optics express ( 2014 )

Real-time dispersion-compensated image reconstruction for compressive sensing spectral domain optical coherence tomography

Daguang Xu, Yong Huang, Jin U Kang
JOSA A ( 2014 )

GPU-accelerated non-uniform fast Fourier transform-based compressive sensing spectral domain optical coherence tomography

Daguang Xu, Yong Huang, Jin U Kang
Optics express ( 2014 )

Compressive sensing spectral domain optical coherence tomography with dispersion compensation

Daguang Xu, Yong Huang, Jin U Kang
Proc. SPIE ( 2014 )

Real-time compressive sensing spectral domain optical coherence tomography

Daguang Xu, Yong Huang, Jin U Kang
Optics Letters ( 2014 )

Compressive sensing with dispersion compensation on non-linear wavenumber sampled spectral domain optical coherence tomography

Daguang Xu, Yong Huang, Jin U Kang
Biomedical optics express ( 2013 )

Assessment of robust reconstruction algorithms for compressive sensing spectral-domain optical coherence tomography

Daguang Xu, Yong Huang, Jin U Kang
Proc. SPIE ( 2013 )

Learning to translate with products of novices: a suite of open-ended challenge problems for teaching MT

Adam Lopez, Matt Post, Chris Callison-Burch, Jonathan Weese, Juri Ganitkevitch, Narges Ahmidi, Olivia Buzek, Leah Hanson, Beaniesh Jamil, Matthias Lee, Ya-Ting Lin, Henry Pao, Fatima Rivera, Leili Shahriyari, Debu Sinha, Adam Teichert, Stephen Wampler, Michael Weinberger, Daguang Xu, Lin Yang, Shang Zhao
Transactions of the Association of Computational Linguistics ( 2013 )