Holger R. Roth

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 126

Top Venues

CoRR

Medical Imaging: Computer-Aided Diagnosis

Medical Imaging: Image Processing

Medical Image Anal.

Publications

Holger R. Roth, Ziyue Xu, Yuan-Ting Hsieh, Adithya Renduchintala, Isaac Yang, Zhihong Zhang, Yuhong Wen, Sean Yang, Kevin Lu, Kristopher Kersten, Camir Ricketts, Daguang Xu, Chester Chen, Yan Cheng, Andrew Feng
Empowering Federated Learning for Massive Models with NVIDIA FLARE. CoRR (2024)
Hareem Nisar, Syed Muhammad Anwar, Zhifan Jiang, Abhijeet Parida, Vishwesh Nath, Holger R. Roth, Marius George Linguraru
D-Rax: Domain-specific Radiologic assistant leveraging multi-modal data and eXpert model predictions. CoRR (2024)
Mohammad Zalbagi Darestani, Vishwesh Nath, Wenqi Li, Yufan He, Holger R. Roth, Ziyue Xu, Daguang Xu, Reinhard Heckel, Can Zhao
IR-FRestormer: Iterative Refinement with Fourier-Based Restormer for Accelerated MRI Reconstruction. WACV (2024)
Kendall Schmidt, Ben Bearce, Ken Chang, Laura Coombs, Keyvan Farahani, Marawan Elbatel, Kaouther Mouhebe, Robert Marti, Ruipeng Zhang, Yao Zhang, Yanfeng Wang, Yaojun Hu, Haochao Ying, Yuyang Xu, Conrad Testagrose, Mutlu Demirer, Vikash Gupta, Ünal Akünal, Markus Bujotzek, Klaus H. Maier-Hein, Yi Qin, Xiaomeng Li, Jayashree Kalpathy-Cramer, Holger R. Roth
Fair Evaluation of Federated Learning Algorithms for Automated Breast Density Classification: The Results of the 2022 ACR-NCI-NVIDIA Federated Learning Challenge. CoRR (2024)
Holger R. Roth, Daniel J. Beutel, Yan Cheng, Javier Fernández-Marqués, Heng Pan, Chester Chen, Zhihong Zhang, Yuhong Wen, Sean Yang, Isaac Yang, Yuan-Ting Hsieh, Ziyue Xu, Daguang Xu, Nicholas D. Lane, Andrew Feng
Supercharging Federated Learning with Flower and NVIDIA FLARE. CoRR (2024)
Chih-Hung Wang, Tzu-Ching Lin, Guanru Chen, Meng-Rui Lee, Joyce Tay, Cheng-Yi Wu, Meng-Che Wu, Holger R. Roth, Dong Yang, Can Zhao, Weichung Wang, Chien-Hua Huang
Deep Learning-based Diagnosis and Localization of Pneumothorax on Portable Supine Chest X-ray in Intensive and Emergency Medicine: A Retrospective Study. J. Medical Syst. 48 (1) (2024)
Kendall Schmidt, Benjamin Bearce, Ken Chang, Laura Coombs, Keyvan Farahani, Marawan Elbatel, Kaouther Mouhebe, Robert Marti, Ruipeng Zhang, Ya Zhang, Yanfeng Wang, Yaojun Hu, Haochao Ying, Yuyang Xu, Conrad Testagrose, Mutlu Demirer, Vikash Gupta, Ünal Akünal, Markus Bujotzek, Klaus H. Maier-Hein, Yi Qin, Xiaomeng Li, Jayashree Kalpathy-Cramer, Holger R. Roth
Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challenge. Medical Image Anal. 95 (2024)
Chen Shen, Holger R. Roth, Yuichiro Hayashi, Masahiro Oda, Gen Sato, Tadaaki Miyamoto, Daniel Rueckert, Kensaku Mori
Anatomical attention can help to segment the dilated pancreatic duct in abdominal CT. Int. J. Comput. Assist. Radiol. Surg. 19 (4) (2024)
Joshua C. Zhao, Saurabh Bagchi, Salman Avestimehr, Kevin S. Chan, Somali Chaterji, Dimitris Dimitriadis, Jiacheng Li, Ninghui Li, Arash Nourian, Holger R. Roth
Federated Learning Privacy: Attacks, Defenses, Applications, and Policy Landscape - A Survey. CoRR (2024)
Abhijeet Parida, Antònia Alomar, Zhifan Jiang, Pooneh Roshanitabrizi, Austin Tapp, María J. Ledesma-Carbayo, Ziyue Xu, Syed Muhammed Anwar, Marius George Linguraru, Holger R. Roth
Data Alchemy: Mitigating Cross-Site Model Variability Through Test Time Data Calibration. CoRR (2024)
Andres Diaz-Pinto, Sachidanand Alle, Vishwesh Nath, Yucheng Tang, Alvin Ihsani, Muhammad Asad, Fernando Pérez-García, Pritesh Mehta, Wenqi Li, Mona Flores, Holger R. Roth, Tom Vercauteren, Daguang Xu, Prerna Dogra, Sébastien Ourselin, Andrew Feng, M. Jorge Cardoso
MONAI Label: A framework for AI-assisted interactive labeling of 3D medical images. Medical Image Anal. 95 (2024)
Pochuan Wang, Chen Shen, Weichung Wang, Masahiro Oda, Chiou-Shann Fuh, Kensaku Mori, Holger R. Roth
ConDistFL: Conditional Distillation for Federated Learning from Partially Annotated Data. CoRR (2023)
Andres Diaz-Pinto, Pritesh Mehta, Sachidanand Alle, Muhammad Asad, Richard Brown, Vishwesh Nath, Alvin Ihsani, Michela Antonelli, Daniel Palkovics, Csaba Pinter, Ron Alkalay, Steve Pieper, Holger R. Roth, Daguang Xu, Prerna Dogra, Tom Vercauteren, Andrew Feng, Abood Quraini, Sébastien Ourselin, M. Jorge Cardoso
DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images. CoRR (2023)
Pochuan Wang, Chen Shen, Weichung Wang, Masahiro Oda, Chiou-Shann Fuh, Kensaku Mori, Holger R. Roth
ConDistFL: Conditional Distillation for Federated Learning from Partially Annotated Data. ISIC/Care-AI/MedAGI/DeCaF@MICCAI (2023)
Holger R. Roth, Yan Cheng, Yuhong Wen, Isaac Yang, Ziyue Xu, Yuan-Ting Hsieh, Kristopher Kersten, Ahmed Harouni, Can Zhao, Kevin Lu, Zhihong Zhang, Wenqi Li, Andriy Myronenko, Dong Yang, Sean Yang, Nicola Rieke, Abood Quraini, Chester Chen, Daguang Xu, Nic Ma, Prerna Dogra, Mona Flores, Andrew Feng
NVIDIA FLARE: Federated Learning from Simulation to Real-World. IEEE Data Eng. Bull. 46 (1) (2023)
Jingwei Sun, Ziyue Xu, Hongxu Yin, Dong Yang, Daguang Xu, Yiran Chen, Holger R. Roth
FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models. CoRR (2023)
Dong Yang, Ziyue Xu, Yufan He, Vishwesh Nath, Wenqi Li, Andriy Myronenko, Ali Hatamizadeh, Can Zhao, Holger R. Roth, Daguang Xu
DAST: Differentiable Architecture Search with Transformer for 3D Medical Image Segmentation. MICCAI (3) (2023)
Zhifan Jiang, Abhijeet Parida, Syed Muhammad Anwar, Yucheng Tang, Holger R. Roth, Michael J. Fisher, Roger J. Packer, Robert A. Avery, Marius George Linguraru
Automatic Visual Acuity Loss Prediction in Children with Optic Pathway Gliomas using Magnetic Resonance Imaging. EMBC (2023)
Jingwei Sun, Ziyue Xu, Dong Yang, Vishwesh Nath, Wenqi Li, Can Zhao, Daguang Xu, Yiran Chen, Holger R. Roth
Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples. CoRR (2023)
Malhar Patel, Ittai Dayan, Elliot K. Fishman, Mona Flores, Fiona J. Gilbert, Michal Guindy, Eugene J. Koay, Michael Rosenthal, Holger R. Roth, Marius George Linguraru
Accelerating artificial intelligence: How federated learning can protect privacy, facilitate collaboration, and improve outcomes. Health Informatics J. 29 (4) (2023)
Meirui Jiang, Holger R. Roth, Wenqi Li, Dong Yang, Can Zhao, Vishwesh Nath, Daguang Xu, Qi Dou, Ziyue Xu
Fair Federated Medical Image Segmentation via Client Contribution Estimation. CVPR (2023)
Ali Hatamizadeh, Hongxu Yin, Pavlo Molchanov, Andriy Myronenko, Wenqi Li, Prerna Dogra, Andrew Feng, Mona G. Flores, Jan Kautz, Daguang Xu, Holger R. Roth
Do Gradient Inversion Attacks Make Federated Learning Unsafe? IEEE Trans. Medical Imaging 42 (7) (2023)
Tianyu Hwang, Chih-Hung Wang, Holger R. Roth, Dong Yang, Can Zhao, Chien-Hua Huang, Weichung Wang
Semi-supervised Learning with Contrastive and Topology Losses for Catheter Segmentation and Misplacement Prediction. MIDL (2023)
Xinyang Liu, Erin R. Bonner, Zhifan Jiang, Holger R. Roth, Roger J. Packer, Miriam Bornhorst, Marius George Linguraru
From adult to pediatric: deep learning-based automatic segmentation of rare pediatric brain tumors. Medical Imaging: Computer-Aided Diagnosis (2023)
Xinyang Liu, Erin R. Bonner, Zhifan Jiang, Holger R. Roth, Syed Muhammad Anwar, Roger J. Packer, Miriam Bornhorst, Marius George Linguraru
Automatic Segmentation of Rare Pediatric Brain Tumors Using Knowledge Transfer From Adult Data. ISBI (2023)
Holger R. Roth, Nicola Rieke, Shadi Albarqouni, Quanzheng Li
Guest Editorial Special Issue on Federated Learning for Medical Imaging: Enabling Collaborative Development of Robust AI Models. IEEE Trans. Medical Imaging 42 (7) (2023)
Jingwei Sun, Ziyue Xu, Dong Yang, Vishwesh Nath, Wenqi Li, Can Zhao, Daguang Xu, Yiran Chen, Holger R. Roth
Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples. ICCV (2023)
Meirui Jiang, Holger R. Roth, Wenqi Li, Dong Yang, Can Zhao, Vishwesh Nath, Daguang Xu, Qi Dou, Ziyue Xu
Fair Federated Medical Image Segmentation via Client Contribution Estimation. CoRR (2023)
Pooneh R. Tabrizi, Holger R. Roth, Alison Tompsett, Athelia Rosa Paulli, Kelsey Brown, Joselyn Rwebembera, Emmy Okello, Andrea Z. Beaton, Craig Sable, Marius George Linguraru
Ensembled Prediction of Rheumatic Heart Disease from Ungated Doppler Echocardiography Acquired in Low-Resource Settings. MICCAI (1) (2022)
Chen Shen, Holger R. Roth, Yuichiro Hayashi, Masahiro Oda, Tadaaki Miyamoto, Gen Sato, Kensaku Mori
A cascaded fully convolutional network framework for dilated pancreatic duct segmentation. Int. J. Comput. Assist. Radiol. Surg. 17 (2) (2022)
Pengfei Guo, Dong Yang, Ali Hatamizadeh, An Xu, Ziyue Xu, Wenqi Li, Can Zhao, Daguang Xu, Stephanie A. Harmon, Evrim Turkbey, Baris Turkbey, Bradford J. Wood, Francesca Patella, Elvira Stellato, Gianpaolo Carrafiello, Vishal M. Patel, Holger R. Roth
Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation. CoRR (2022)
Chen Shen, Pochuan Wang, Dong Yang, Daguang Xu, Masahiro Oda, Po-Ting Chen, Kao-Lang Liu, Wei-Chih Liao, Chiou-Shann Fuh, Kensaku Mori, Weichung Wang, Holger R. Roth
Joint Multi Organ and Tumor Segmentation from Partial Labels Using Federated Learning. DeCaF/FAIR@MICCAI (2022)
Yucheng Tang, Dong Yang, Wenqi Li, Holger R. Roth, Bennett A. Landman, Daguang Xu, Vishwesh Nath, Ali Hatamizadeh
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis. CVPR (2022)
Vishwesh Nath, Dong Yang, Holger R. Roth, Daguang Xu
Warm Start Active Learning with Proxy Labels & Selection via Semi-Supervised Fine-Tuning. CoRR (2022)
Holger R. Roth, Yan Cheng, Yuhong Wen, Isaac Yang, Ziyue Xu, Yuan-Ting Hsieh, Kristopher Kersten, Ahmed Harouni, Can Zhao, Kevin Lu, Zhihong Zhang, Wenqi Li, Andriy Myronenko, Dong Yang, Sean Yang, Nicola Rieke, Abood Quraini, Chester Chen, Daguang Xu, Nic Ma, Prerna Dogra, Mona Flores, Andrew Feng
NVIDIA FLARE: Federated Learning from Simulation to Real-World. CoRR (2022)
Ali Hatamizadeh, Hongxu Yin, Pavlo Molchanov, Andriy Myronenko, Wenqi Li, Prerna Dogra, Andrew Feng, Mona G. Flores, Jan Kautz, Daguang Xu, Holger R. Roth
Do Gradient Inversion Attacks Make Federated Learning Unsafe? CoRR (2022)
Ali Hatamizadeh, Yucheng Tang, Vishwesh Nath, Dong Yang, Andriy Myronenko, Bennett A. Landman, Holger R. Roth, Daguang Xu
UNETR: Transformers for 3D Medical Image Segmentation. WACV (2022)
Holger R. Roth, Ali Hatamizadeh, Ziyue Xu, Can Zhao, Wenqi Li, Andriy Myronenko, Daguang Xu
Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-Modal Brain Tumor Segmentation. CoRR (2022)
Holger R. Roth, Ziyue Xu, Carlos Tor-Díez, 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 Hendrik Moltz, Bruno Oliveira, Yong Xia, Klaus H. Maier-Hein, Qikai Li, Andreas Husch, Luyang Zhang, Vassili Kovalev, Li Kang, Alessa Hering, João L. Vilaça, Mona Flores, Daguang Xu, Bradford J. Wood, Marius George Linguraru
Rapid artificial intelligence solutions in a pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge. Medical Image Anal. 82 (2022)
Andres Diaz-Pinto, Pritesh Mehta, Sachidanand Alle, Muhammad Asad, Richard Brown, Vishwesh Nath, Alvin Ihsani, Michela Antonelli, Daniel Palkovics, Csaba Pinter, Ron Alkalay, Steve Pieper, Holger R. Roth, Daguang Xu, Prerna Dogra, Tom Vercauteren, Andrew Feng, Abood Quraini, Sébastien Ourselin, M. Jorge Cardoso
DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images. DALI@MICCAI (2022)
Holger R. Roth, Ali Hatamizadeh, Ziyue Xu, Can Zhao, Wenqi Li, Andriy Myronenko, Daguang Xu
Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-modal Brain Tumor Segmentation. DeCaF/FAIR@MICCAI (2022)
Pengfei Guo, Dong Yang, Ali Hatamizadeh, An Xu, Ziyue Xu, Wenqi Li, Can Zhao, Daguang Xu, Stephanie A. Harmon, Evrim Turkbey, Baris Turkbey, Bradford J. Wood, Francesca Patella, Elvira Stellato, Gianpaolo Carrafiello, Vishal M. Patel, Holger R. Roth
Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation. ECCV (21) (2022)
M. Jorge Cardoso, Wenqi Li, Richard Brown, Nic Ma, Eric Kerfoot, Yiheng Wang, Benjamin Murray, Andriy Myronenko, Can Zhao, Dong Yang, Vishwesh Nath, Yufan He, Ziyue Xu, Ali Hatamizadeh, Wentao Zhu, Yun Liu, Mingxin Zheng, Yucheng Tang, Isaac Yang, Michael Zephyr, Behrooz Hashemian, Sachidanand Alle, Mohammad Zalbagi Darestani, Charlie Budd, Marc Modat, Tom Vercauteren, Guotai Wang, Yiwen Li, Yipeng Hu, Yunguan Fu, Benjamin Gorman, Hans J. Johnson, Brad W. Genereaux, Barbaros S. Erdal, Vikash Gupta, Andres Diaz-Pinto, Andre Dourson, Lena Maier-Hein, Paul F. Jaeger, Michael Baumgartner, Jayashree Kalpathy-Cramer, Mona Flores, Justin S. Kirby, Lee A. D. Cooper, Holger R. Roth, Daguang Xu, David Bericat, Ralf Floca, S. Kevin Zhou, Haris Shuaib, Keyvan Farahani, Klaus H. Maier-Hein, Stephen R. Aylward, Prerna Dogra, Sebastien Ourselin, Andrew Feng
MONAI: An open-source framework for deep learning in healthcare. CoRR (2022)
Andres Diaz-Pinto, Sachidanand Alle, Alvin Ihsani, Muhammad Asad, Vishwesh Nath, Fernando Pérez-García, Pritesh Mehta, Wenqi Li, Holger R. Roth, Tom Vercauteren, Daguang Xu, Prerna Dogra, Sébastien Ourselin, Andrew Feng, M. Jorge Cardoso
MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images. CoRR (2022)
Vishwesh Nath, Dong Yang, Holger R. Roth, Daguang Xu
Warm Start Active Learning with Proxy Labels and Selection via Semi-supervised Fine-Tuning. MICCAI (8) (2022)
Ziyue Xu, Andriy Myronenko, Dong Yang, Holger R. Roth, Can Zhao, Xiaosong Wang, Daguang Xu
Clinical-Realistic Annotation for Histopathology Images with Probabilistic Semi-supervision: A Worst-Case Study. MICCAI (2) (2022)
Chen Shen, Holger R. Roth, Vishwesh Nath, Yuichiro Hayashi, Masahiro Oda, Kazunari Misawa, Kensaku Mori
Effective hyperparameter optimization with proxy data for multi-organ segmentation. Medical Imaging: Image Processing (2022)
Vishwesh Nath, Dong Yang, Ali Hatamizadeh, Anas A. Abidin, Andriy Myronenko, Holger R. Roth, Daguang Xu
The Power of Proxy Data and Proxy Networks for Hyper-parameter Optimization in Medical Image Segmentation. MICCAI (3) (2021)
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
Multi-task Federated Learning for Heterogeneous Pancreas Segmentation. CLIP/DCL/LL-COVID19/PPML@MICCAI (2021)
Vishwesh Nath, Dong Yang, Bennett A. Landman, Daguang Xu, Holger R. Roth
Diminishing Uncertainty Within the Training Pool: Active Learning for Medical Image Segmentation. IEEE Trans. Medical Imaging 40 (10) (2021)
Holger R. Roth, Dong Yang, Ziyue Xu, Xiaosong Wang, Daguang Xu
Going to Extremes: Weakly Supervised Medical Image Segmentation. Mach. Learn. Knowl. Extr. 3 (2) (2021)
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
Multi-task Federated Learning for Heterogeneous Pancreas Segmentation. CoRR (2021)
Dong Yang, Andriy Myronenko, Xiaosong Wang, Ziyue Xu, Holger R. Roth, Daguang Xu
T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging. ICCV (2021)
Holger R. Roth, Dong Yang, Wenqi Li, Andriy Myronenko, Wentao Zhu, Ziyue Xu, Xiaosong Wang, Daguang Xu
Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures. CoRR (2021)
Karthik V. Sarma, Stephanie A. 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 Priester, Leonard S. Marks, Steven S. Raman, Dieter Enzmann, Baris Turkbey, William Speier, Corey W. Arnold
Federated learning improves site performance in multicenter deep learning without data sharing. J. Am. Medical Informatics Assoc. 28 (6) (2021)
Holger R. Roth, Dong Yang, Wenqi Li, Andriy Myronenko, Wentao Zhu, Ziyue Xu, Xiaosong Wang, Daguang Xu
Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures. MICCAI (3) (2021)
Chen Shen, Holger R. Roth, Yuichiro Hayashi, Masahiro Oda, Tadaaki Miyamoto, Gen Sato, Kensaku Mori
Attention-Guided Pancreatic Duct Segmentation from Abdominal CT Volumes. CLIP/DCL/LL-COVID19/PPML@MICCAI (2021)
Dong Yang, Ziyue Xu, Wenqi Li, Andriy Myronenko, Holger R. Roth, Stephanie A. 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
Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan. Medical Image Anal. 70 (2021)
Ali Hatamizadeh, Vishwesh Nath, Yucheng Tang, Dong Yang, Holger R. Roth, Daguang Xu
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images. BrainLes@MICCAI (1) (2021)
Dong Yang, Andriy Myronenko, Xiaosong Wang, Ziyue Xu, Holger R. Roth, Daguang Xu
T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging. CoRR (2021)
Andriy Myronenko, Ziyue Xu, Dong Yang, Holger R. Roth, Daguang Xu
Accounting for Dependencies in Deep Learning Based Multiple Instance Learning for Whole Slide Imaging. MICCAI (8) (2021)
Vishwesh Nath, Dong Yang, Bennett A. Landman, Daguang Xu, Holger R. Roth
Diminishing Uncertainty within the Training Pool: Active Learning for Medical Image Segmentation. CoRR (2021)
Dong Yang, Ziyue Xu, Wenqi Li, Andriy Myronenko, Holger R. Roth, Stephanie A. 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
Federated Semi-Supervised Learning for COVID Region Segmentation in Chest CT using Multi-National Data from China, Italy, Japan. CoRR (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 D. White, Behrooz Hashemian, Thomas J. Schultz, Miao Zhang, Adam McCarthy, B. Min Yun, Elshaimaa Sharaf, Katharina Viktoria 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 L. Rubin, Jayashree Kalpathy-Cramer
Federated Learning for Breast Density Classification: A Real-World Implementation. DART/DCL@MICCAI (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 D. White, Behrooz Hashemian, Thomas J. Schultz, Miao Zhang, Adam McCarthy, B. Min Yun, Elshaimaa Sharaf, Katharina Viktoria 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 L. Rubin, Jayashree Kalpathy-Cramer
Federated Learning for Breast Density Classification: A Real-World Implementation. CoRR (2020)
Masahiro Oda, Holger R. Roth, Takayuki Kitasaka, Kazuhiro Furukawa, Ryoji Miyahara, Yoshiki Hirooka, Hidemi Goto, Nassir Navab, Kensaku Mori
Colon Shape Estimation Method for Colonoscope Tracking using Recurrent Neural Networks. CoRR (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
Automated Pancreas Segmentation Using Multi-institutional Collaborative Deep Learning. CoRR (2020)
Nicola Rieke, Jonny Hancox, Wenqi Li, Fausto Milletarì, Holger R. Roth, Shadi Albarqouni, Spyridon Bakas, Mathieu N. Galtier, Bennett A. Landman, Klaus H. Maier-Hein, Sébastien Ourselin, Micah J. Sheller, Ronald M. Summers, Andrew Trask, Daguang Xu, Maximilian Baust, M. Jorge Cardoso
The future of digital health with federated learning. npj Digit. Medicine 3 (2020)
Yuichiro Hayashi, Chen Shen, Holger R. Roth, Masahiro Oda, Kazunari Misawa, Masahiro Jinzaki, Masahiro Hashimoto, Kanako K. Kumamaru, Shigeki Aoki, Kensaku Mori
Usefulness of fine-tuning for deep learning based multi-organ regions segmentation method from non-contrast CT volumes using small training dataset. Medical Imaging: Computer-Aided Diagnosis (2020)
Masahiro Oda, Holger R. Roth, Takayuki Kitasaka, Kazuhiro Furukawa, Ryoji Miyahara, Yoshiki Hirooka, Nassir Navab, Kensaku Mori
Colonoscope tracking method based on shape estimation network. CoRR (2020)
Chen Shen, Chenglong Wang, Holger R. Roth, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori
Spatial information-embedded fully convolutional networks for multi-organ segmentation with improved data augmentation and instance normalization. Medical Imaging: Image Processing (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
Automated Pancreas Segmentation Using Multi-institutional Collaborative Deep Learning. DART/DCL@MICCAI (2020)
Holger R. Roth, Dong Yang, Ziyue Xu, Xiaosong Wang, Daguang Xu
Going to Extremes: Weakly Supervised Medical Image Segmentation. CoRR (2020)
Hirohisa Oda, Holger R. Roth, Takaaki Sugino, Naoki Sunaguchi, Noriko Usami, Masahiro Oda, Daisuke Shimao, Shu Ichihara, Tetsuya Yuasa, Masami Ando, Toshiaki Akita, Yuji Narita, Kensaku Mori
Scanning, registration, and fiber estimation of rabbit hearts using micro-focus and refraction-contrast x-ray CT. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2019)
Masahiro Oda, Holger R. Roth, Takayuki Kitasaka, Kazuhiro Furukawa, Ryoji Miyahara, Yoshiki Hirooka, Nassir Navab, Kensaku Mori
Colonoscope tracking method based on shape estimation network. Medical Imaging: Image-Guided Procedures (2019)
Takayasu Moriya, Holger R. Roth, Shota Nakamura, Hirohisa Oda, Masahiro Oda, Kensaku Mori
Unsupervised segmentation of micro-CT images based on a hybrid of variational inference and adversarial learning. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2019)
Hayato Itoh, Holger R. Roth, Yuichi Mori, Masashi Misawa, Masahiro Oda, Shin-ei Kudo, Kensaku Mori
Polyp-size classification with RGB-D features for colonoscopy. Medical Imaging: Computer-Aided Diagnosis (2019)
Yuki Kitahara, Rie Tanaka, Holger R. Roth, Hirohisa Oda, Kensaku Mori, Kazuo Kasahara, Isao Matsumoto
Lung segmentation based on a deep learning approach for dynamic chest radiography. Medical Imaging: Computer-Aided Diagnosis (2019)
Chen Shen, Fausto Milletari, Holger R. Roth, Hirohisa Oda, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori
Improving V-Nets for multi-class abdominal organ segmentation. Medical Imaging: Image Processing (2019)
Chenglong Wang, Holger R. Roth, Takayuki Kitasaka, Masahiro Oda, Yuichiro Hayashi, Yasushi Yoshino, Tokunori Yamamoto, Naoto Sassa, Momokazu Goto, Kensaku Mori
Precise estimation of renal vascular dominant regions using spatially aware fully convolutional networks, tensor-cut and Voronoi diagrams. Comput. Medical Imaging Graph. 77 (2019)
Chenglong Wang, Holger R. Roth, Takayuki Kitasaka, Masahiro Oda, Yuichiro Hayashi, Yasushi Yoshino, Tokunori Yamamoto, Naoto Sassa, Momokazu Goto, Kensaku Mori
Precise Estimation of Renal Vascular Dominant Regions Using Spatially Aware Fully Convolutional Networks, Tensor-Cut and Voronoi Diagrams. CoRR (2019)
Takayasu Moriya, Hirohisa Oda, Midori Mitarai, Shota Nakamura, Holger R. Roth, Masahiro Oda, Kensaku Mori
Unsupervised Segmentation of Micro-CT Images of Lung Cancer Specimen Using Deep Generative Models. MICCAI (6) (2019)
Masahiro Oda, Holger R. Roth, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Kensaku Mori
Abdominal artery segmentation method from CT volumes using fully convolutional neural network. Int. J. Comput. Assist. Radiol. Surg. 14 (12) (2019)
Holger R. Roth, Hirohisa Oda, Xiangrong Zhou, Natsuki Shimizu, Ying Yang, Yuichiro Hayashi, Masahiro Oda, Michitaka Fujiwara, Kazunari Misawa, Kensaku Mori
An application of cascaded 3D fully convolutional networks for medical image segmentation. Comput. Medical Imaging Graph. 66 (2018)
Holger R. Roth, Chen Shen, Hirohisa Oda, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori
Deep learning and its application to medical image segmentation. CoRR (2018)
Holger R. Roth, Hirohisa Oda, Xiangrong Zhou, Natsuki Shimizu, Ying Yang, Yuichiro Hayashi, Masahiro Oda, Michitaka Fujiwara, Kazunari Misawa, Kensaku Mori
An application of cascaded 3D fully convolutional networks for medical image segmentation. CoRR (2018)
Masahiro Oda, Natsuki Shimizu, Holger R. Roth, Kenichi Karasawa, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Daniel Rueckert, Kensaku Mori
3D FCN Feature Driven Regression Forest-Based Pancreas Localization and Segmentation. CoRR (2018)
Takaaki Sugino, Holger R. Roth, Masahiro Oda, Seiji Omata, Shinya Sakuma, Fumihito Arai, Kensaku Mori
Automatic segmentation of eyeball structures from micro-CT images based on sparse annotation. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2018)
Takayasu Moriya, Holger R. Roth, Shota Nakamura, Hirohisa Oda, Kai Nagara, Masahiro Oda, Kensaku Mori
Unsupervised pathology image segmentation using representation learning with spherical k-means. Medical Imaging: Digital Pathology (2018)
Takayasu Moriya, Holger R. Roth, Shota Nakamura, Hirohisa Oda, Kai Nagara, Masahiro Oda, Kensaku Mori
Unsupervised segmentation of 3D medical images based on clustering and deep representation learning. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2018)
Holger R. Roth, Chen Shen, Hirohisa Oda, Takaaki Sugino, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori
A multi-scale pyramid of 3D fully convolutional networks for abdominal multi-organ segmentation. CoRR (2018)
Hirohisa Oda, Holger R. Roth, Kosuke Chiba, Jure Sokolic, Takayuki Kitasaka, Masahiro Oda, Akinari Hinoki, Hiroo Uchida, Julia A. Schnabel, Kensaku Mori
BESNet: Boundary-Enhanced Segmentation of Cells in Histopathological Images. MICCAI (2) (2018)
Takayasu Moriya, Holger R. Roth, Shota Nakamura, Hirohisa Oda, Kai Nagara, Masahiro Oda, Kensaku Mori
Unsupervised Pathology Image Segmentation Using Representation Learning with Spherical K-means. CoRR (2018)
Hayato Itoh, Holger R. Roth, Le Lu, Masahiro Oda, Masashi Misawa, Yuichi Mori, Shin-ei Kudo, Kensaku Mori
Towards Automated Colonoscopy Diagnosis: Binary Polyp Size Estimation via Unsupervised Depth Learning. MICCAI (2) (2018)
Holger R. Roth, Le Lu, Nathan Lay, Adam P. Harrison, Amal Farag, Andrew Sohn, Ronald M. Summers
Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation. Medical Image Anal. 45 (2018)
Chen Shen, Holger R. Roth, Hirohisa Oda, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori
On the influence of Dice loss function in multi-class organ segmentation of abdominal CT using 3D fully convolutional networks. CoRR (2018)
Takaaki Sugino, Holger R. Roth, Masahiro Oda, Kensaku Mori
Fully Convolutional Network-Based Eyeball Segmentation from Sparse Annotation for Eye Surgery Simulation Model. POCUS/BIVPCS/CuRIOUS/CPM@MICCAI (2018)
Holger R. Roth, Chen Shen, Hirohisa Oda, Takaaki Sugino, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori
A Multi-scale Pyramid of 3D Fully Convolutional Networks for Abdominal Multi-organ Segmentation. MICCAI (4) (2018)
Hirohisa Oda, Holger R. Roth, Kanwal K. Bhatia, Masahiro Oda, Takayuki Kitasaka, Shingo Iwano, Hirotoshi Honma, Hirotsugu Takabatake, Masaki Mori, Hiroshi Natori, Julia A. Schnabel, Kensaku Mori
Dense volumetric detection and segmentation of mediastinal lymph nodes in chest CT images. Medical Imaging: Computer-Aided Diagnosis (2018)
Takayasu Moriya, Holger R. Roth, Shota Nakamura, Hirohisa Oda, Kai Nagara, Masahiro Oda, Kensaku Mori
Unsupervised Segmentation of 3D Medical Images Based on Clustering and Deep Representation Learning. CoRR (2018)

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Holger R. Roth