Establishing Spatial Correspondence between the Inner Colon Surfaces from Prone and Supine CT Colonography. - Holger Roth; Jamie McClelland; Marc Modat; Darren Boone; Mingxing Hu; Sébastien Ourselin; Greg G. Slabaugh; Steve Halligan; David J. Hawkes (MICCAI (3), 2010)

Automatic Prone to Supine Haustral Fold Matching in CT Colonography Using a Markov Random Field Model. - Thomas Hampshire; Holger Roth; Mingxing Hu; Darren Boone; Greg G. Slabaugh; Shonit Punwani; Steve Halligan; David J. Hawkes (MICCAI (1), 2011)

Inverse Consistency Error in the Registration of Prone and Supine Images in CT Colonography. - Holger Roth; Thomas Hampshire; Jamie McClelland; Mingxing Hu; Darren Boone; Greg G. Slabaugh; Steve Halligan; David J. Hawkes (Abdominal Imaging, 2011)

Establishing spatial correspondence for the analysis of images from highly deforming anatomy. - David J. Hawkes; Thomy Mertzanidou; John H. Hipwell; David Atkinson; Holger Roth; Tom Hampshire; Jamie McClelland (EMBC, 2012)

Prone to Supine CT Colonography Registration Using a Landmark and Intensity Composite Method. - Thomas Hampshire; Holger Roth; Darren Boone; Greg G. Slabaugh; Steve Halligan; David J. Hawkes (Abdominal Imaging, 2012)

External Clinical Validation of Prone and Supine CT Colonography Registration. - Holger Roth; Darren Boone; Steve Halligan; Thomas Hampshire; Jamie McClelland; Mingxing Hu; Shonit Punwani; Stuart Taylor; David J. Hawkes (Abdominal Imaging, 2012)

Spatial Correspondence between Prone and Supine CT Colonography Images: Creating a Reference Standard. - Thomas Hampshire; Emma Helbren; Andrew Plumb; Holger Roth; Steve Halligan; David J. Hawkes (Abdominal Imaging, 2013)

Registration of Temporally Separated CT Colonography Cases. - Holger Roth; Emma Helbren; Thomas Hampshire; Perry J. Pickhardt; Steve Halligan; David J. Hawkes (Abdominal Imaging, 2013)

Registration of Prone and Supine CT Colonography Datasets with Differing Endoluminal Distension. - Holger Roth; Jamie McClelland; Thomas Hampshire; Darren Boone; Yipeng Hu; Marc Modat; Hui Zhang 005; Sébastien Ourselin; Steve Halligan; David J. Hawkes (Abdominal Imaging, 2013)

CT colonography: inverse-consistent symmetric registration of prone and supine inner colon surfaces. - Holger R. Roth; Jamie R. McClelland; Marc Modat; Thomas Hampshire; Darren Boone; Emma Helbren; Andrew Plumb; Mingxing Hu; Sébastien Ourselin; Steve Halligan; David J. Hawkes (Image Processing, 2013)

Endoluminal surface registration for CT colonography using haustral fold matching. - Thomas Hampshire; Holger Roth; Emma Helbren; Andrew Plumb; Darren Boone; Greg G. Slabaugh; Steve Halligan; David J. Hawkes (Medical Image Anal., 2013)

A New 2.5D Representation for Lymph Node Detection Using Random Sets of Deep Convolutional Neural Network Observations. - Holger R. Roth; Le Lu 001; Ari Seff; Kevin M. Cherry; Joanne Hoffman; Shijun Wang; Jiamin Liu; Evrim Turkbey; Ronald M. Summers (MICCAI (1), 2014)

2D View Aggregation for Lymph Node Detection Using a Shallow Hierarchy of Linear Classifiers. - Ari Seff; Le Lu 001; Kevin M. Cherry; Holger R. Roth; Jiamin Liu; Shijun Wang; Joanne Hoffman; Evrim B. Turkbey; Ronald M. Summers (MICCAI (1), 2014)

Computer-assisted polyp matching between optical colonoscopy and CT colonography: a phantom study. - Holger R. Roth; Thomas E. Hampshire; Emma Helbren; Mingxing Hu; Roser Vega; Steve Halligan; David J. Hawkes (Image-Guided Procedures, 2014)

Detection of Sclerotic Spine Metastases via Random Aggregation of Deep Convolutional Neural Network Classifications. - Holger R. Roth; Jianhua Yao 001; Le Lu 001; James Stieger; Joseph E. Burns; Ronald M. Summers (CoRR, 2014)

Anatomy-specific classification of medical images using deep convolutional nets. - Holger R. Roth; Christopher T. Lee; Hoo-Chang Shin; Ari Seff; Lauren Kim; Jianhua Yao 001; Le Lu 001; Ronald M. Summers (ISBI, 2015)

DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation. - Holger R. Roth; Le Lu 001; Amal Farag; Hoo-Chang Shin; Jiamin Liu; Evrim B. Turkbey; Ronald M. Summers (MICCAI (1), 2015)

Leveraging Mid-Level Semantic Boundary Cues for Automated Lymph Node Detection. - Ari Seff; Le Lu 001; Adrian Barbu; Holger Roth; Hoo-Chang Shin; Ronald M. Summers (MICCAI (2), 2015)

Multi-atlas Segmentation with Joint Label Fusion of Osteoporotic Vertebral Compression Fractures on CT. - Yinong Wang 003; Jianhua Yao 001; Holger R. Roth; Joseph E. Burns; Ronald M. Summers (CSI@MICCAI, 2015)

Deep convolutional networks for pancreas segmentation in CT imaging. - Holger R. Roth; Amal Farag; Le Lu 001; Evrim B. Turkbey; Ronald M. Summers (Image Processing, 2015)

Deep convolutional networks for automated detection of posterior-element fractures on spine CT. - Holger R. Roth; Yinong Wang 003; Jianhua Yao 001; Le Lu 001; Joseph E. Burns; Ronald M. Summers (Computer-Aided Diagnosis, 2016)

Improving vertebra segmentation through joint vertebra-rib atlases. - Yinong Wang 003; Jianhua Yao 001; Holger R. Roth; Joseph E. Burns; Ronald M. Summers (Computer-Aided Diagnosis, 2016)

Automatic Lymph Node Cluster Segmentation Using Holistically-Nested Neural Networks and Structured Optimization in CT Images. - Isabella Nogues; Le Lu 001; Xiaosong Wang 001; Holger Roth; Gedas Bertasius; Nathan Lay; Jianbo Shi; Yohannes Tsehay; Ronald M. Summers (MICCAI (2), 2016)

Spatial Aggregation of Holistically-Nested Networks for Automated Pancreas Segmentation. - Holger R. Roth; Le Lu 001; Amal Farag; Andrew Sohn; Ronald M. Summers (MICCAI (2), 2016)

Active appearance model and deep learning for more accurate prostate segmentation on MRI. - Ruida Cheng; Holger R. Roth; Le Lu 001; Shijun Wang; Baris Turkbey; William Gandler; Evan S. McCreedy; Harsh K. Agarwal; Peter L. Choyke; Ronald M. Summers; Matthew J. McAuliffe (Image Processing, 2016)

Improving Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation. - Holger R. Roth; Le Lu 001; Jiamin Liu; Jianhua Yao 001; Ari Seff; Kevin M. Cherry; Lauren Kim; Ronald M. Summers (IEEE Trans. Medical Imaging, 2016)

Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning. - Hoo-Chang Shin; Holger R. Roth; Mingchen Gao; Le Lu 001; Ziyue Xu 001; Isabella Nogues; Jianhua Yao 001; Daniel J. Mollura; Ronald M. Summers (IEEE Trans. Medical Imaging, 2016)

Automatic segmentation of head anatomical structures from sparsely-annotated images. - Takaaki Sugino; Holger R. Roth; Mohammad Eshghi; Masahiro Oda 001; Min Suk Chung; Kensaku Mori (CBS, 2017)

Deep learning with orthogonal volumetric HED segmentation and 3D surface reconstruction model of prostate MRI. - Ruida Cheng; Nathan Lay; Francesca Mertan; Baris Turkbey; Holger R. Roth; Le Lu 001; William Gandler; Evan S. McCreedy; Thomas Pohida; Peter L. Choyke; Matthew J. McAuliffe; Ronald M. Summers (ISBI, 2017)

Convolutional neural network based deep-learning architecture for prostate cancer detection on multiparametric magnetic resonance images. - Yohannes K. Tsehay; Nathan S. Lay; Holger R. Roth; Xiaosong Wang 001; Jin Tae Kwak; Baris Turkbey; Peter A. Pinto; Bradford J. Wood; Ronald M. Summers (Computer-Aided Diagnosis, 2017)

Tracking and Segmentation of the Airways in Chest CT Using a Fully Convolutional Network. - Qier Meng; Holger R. Roth; Takayuki Kitasaka; Masahiro Oda 001; Junji Ueno; Kensaku Mori (MICCAI (2), 2017)

Micro-CT Guided 3D Reconstruction of Histological Images. - Kai Nagara; Holger R. Roth; Shota Nakamura; Hirohisa Oda; Takayasu Moriya; Masahiro Oda 001; Kensaku Mori (Patch-MI@MICCAI, 2017)

TBS: Tensor-Based Supervoxels for Unfolding the Heart. - Hirohisa Oda; Holger R. Roth; Kanwal K. Bhatia; Masahiro Oda 001; Takayuki Kitasaka; Toshiaki Akita; Julia A. Schnabel; Kensaku Mori (MICCAI (1), 2017)

3D FCN Feature Driven Regression Forest-Based Pancreas Localization and Segmentation. - Masahiro Oda 001; Natsuki Shimizu; Holger R. Roth; Kenichi Karasawa; Takayuki Kitasaka; Kazunari Misawa; Michitaka Fujiwara; Daniel Rueckert; Kensaku Mori (DLMIA/ML-CDS@MICCAI, 2017)

Motion Vector for Outlier Elimination in Feature Matching and Its Application in SLAM Based Laparoscopic Tracking. - Cheng Wang 027; Masahiro Oda 001; Yuichiro Hayashi; Kazunari Misawa; Holger Roth; Kensaku Mori (CARE/CLIP@MICCAI, 2017)

Automatic MR prostate segmentation by deep learning with holistically-nested networks. - Ruida Cheng; Holger R. Roth; Nathan Lay; Le Lu 001; Baris Turkbey; William Gandler; Evan S. McCreedy; Peter L. Choyke; Ronald M. Summers; Matthew J. McAuliffe (Image Processing, 2017)

Comparison of the deep-learning-based automated segmentation methods for the head sectioned images of the virtual Korean human project. - Mohammad Eshghi; Holger R. Roth; Masahiro Oda 001; Min Suk Chung; Kensaku Mori (MVA, 2017)

Multi-scale Image Fusion Between Pre-operative Clinical CT and X-ray Microtomography of Lung Pathology. - Holger R. Roth; Kai Nagara; Hirohisa Oda; Masahiro Oda 001; Tomoshi Sugiyama; Shota Nakamura; Kensaku Mori (CoRR, 2017)

Hierarchical 3D fully convolutional networks for multi-organ segmentation. - Holger R. Roth; Hirohisa Oda; Yuichiro Hayashi; Masahiro Oda 001; Natsuki Shimizu; Michitaka Fujiwara; Kazunari Misawa; Kensaku Mori (CoRR, 2017)

Towards Automatic Abdominal Multi-Organ Segmentation in Dual Energy CT using Cascaded 3D Fully Convolutional Network. - Shuqing Chen; Holger Roth; Sabrina Dorn; Matthias May 002; Alexander Cavallaro; Michael M. Lell; Marc Kachelrieß; Hirohisa Oda; Kensaku Mori; Andreas K. Maier (CoRR, 2017)

A Bottom-Up Approach for Pancreas Segmentation Using Cascaded Superpixels and (Deep) Image Patch Labeling. - Amal Farag; Le Lu 001; Holger R. Roth; Jiamin Liu; Evrim Turkbey; Ronald M. Summers (IEEE Trans. Image Process., 2017)

Automatic Pancreas Segmentation Using Coarse-to-Fine Superpixel Labeling. - Amal Farag; Le Lu 001; Holger R. Roth; Jiamin Liu; Evrim Turkbey; Ronald M. Summers (Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017)

Efficient False Positive Reduction in Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation. - Holger R. Roth; Le Lu 001; Jiamin Liu; Jianhua Yao 001; Ari Seff; Kevin M. Cherry; Lauren Kim; Ronald M. Summers (Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017)

Three Aspects on Using Convolutional Neural Networks for Computer-Aided Detection in Medical Imaging. - Hoo-Chang Shin; Holger R. Roth; Mingchen Gao; Le Lu 001; Ziyue Xu 001; Isabella Nogues; Jianhua Yao 001; Daniel J. Mollura; Ronald M. Summers (Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017)

Unsupervised segmentation of 3D medical images based on clustering and deep representation learning. - Takayasu Moriya; Holger R. Roth; Shota Nakamura; Hirohisa Oda; Kai Nagara; Masahiro Oda 001; Kensaku Mori (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2018)

Automatic segmentation of eyeball structures from micro-CT images based on sparse annotation. - Takaaki Sugino; Holger R. Roth; Masahiro Oda 001; Seiji Omata; Shinya Sakuma; Fumihito Arai; Kensaku Mori (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2018)

Dense volumetric detection and segmentation of mediastinal lymph nodes in chest CT images. - Hirohisa Oda; Holger R. Roth; Kanwal K. Bhatia; Masahiro Oda 001; Takayuki Kitasaka; Shingo Iwano; Hirotoshi Honma; Hirotsugu Takabatake; Masaki Mori; Hiroshi Natori; Julia A. Schnabel; Kensaku Mori (Computer-Aided Diagnosis, 2018)

Towards Automated Colonoscopy Diagnosis: Binary Polyp Size Estimation via Unsupervised Depth Learning. - Hayato Itoh; Holger R. Roth; Le Lu 001; Masahiro Oda 001; Masashi Misawa; Yuichi Mori; Shin-ei Kudo; Kensaku Mori (MICCAI (2), 2018)

BESNet: Boundary-Enhanced Segmentation of Cells in Histopathological Images. - Hirohisa Oda; Holger R. Roth; Kosuke Chiba; Jure Sokolic; Takayuki Kitasaka; Masahiro Oda 001; Akinari Hinoki; Hiroo Uchida; Julia A. Schnabel; Kensaku Mori (MICCAI (2), 2018)

Colon Shape Estimation Method for Colonoscope Tracking Using Recurrent Neural Networks. - Masahiro Oda 001; Holger R. Roth; Takayuki Kitasaka; Kazuhiro Furukawa; Ryoji Miyahara; Yoshiki Hirooka; Hidemi Goto; Nassir Navab; Kensaku Mori (MICCAI (4), 2018)

A Multi-scale Pyramid of 3D Fully Convolutional Networks for Abdominal Multi-organ Segmentation. - Holger R. Roth; Chen Shen 002; Hirohisa Oda; Takaaki Sugino; Masahiro Oda 001; Yuichiro Hayashi; Kazunari Misawa; Kensaku Mori (MICCAI (4), 2018)

Fully Convolutional Network-Based Eyeball Segmentation from Sparse Annotation for Eye Surgery Simulation Model. - Takaaki Sugino; Holger R. Roth; Masahiro Oda 001; Kensaku Mori (POCUS/BIVPCS/CuRIOUS/CPM@MICCAI, 2018)

Unsupervised pathology image segmentation using representation learning with spherical k-means. - Takayasu Moriya; Holger R. Roth; Shota Nakamura; Hirohisa Oda; Kai Nagara; Masahiro Oda 001; Kensaku Mori (Digital Pathology, 2018)

Towards dense volumetric pancreas segmentation in CT using 3D fully convolutional networks. - Holger Roth; Masahiro Oda 001; Natsuki Shimizu; Hirohisa Oda; Yuichiro Hayashi; Takayuki Kitasaka; Michitaka Fujiwara; Kazunari Misawa; Kensaku Mori (Image Processing, 2018)

An analysis of robust cost functions for CNN in computer-aided diagnosis. - Adrian Barbu; Le Lu 001; Holger Roth; Ari Seff; Ronald M. Summers (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018)

Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks. - Mingchen Gao; Ulas Bagci; Le Lu 001; Aaron Wu; Mario Buty; Hoo-Chang Shin; Holger Roth; Georgios Z. Papadakis; Adrien Depeursinge; Ronald M. Summers; Ziyue Xu 001; Daniel J. Mollura (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018)

An application of cascaded 3D fully convolutional networks for medical image segmentation. - Holger R. Roth; Hirohisa Oda; Xiangrong Zhou; Natsuki Shimizu; Ying Yang; Yuichiro Hayashi; Masahiro Oda 001; Michitaka Fujiwara; Kazunari Misawa; Kensaku Mori (Comput. Medical Imaging Graph., 2018)

On the influence of Dice loss function in multi-class organ segmentation of abdominal CT using 3D fully convolutional networks. - Chen Shen 002; Holger R. Roth; Hirohisa Oda; Masahiro Oda 001; Yuichiro Hayashi; Kazunari Misawa; Kensaku Mori (CoRR, 2018)

Deep learning and its application to medical image segmentation. - Holger R. Roth; Chen Shen 002; Hirohisa Oda; Masahiro Oda 001; Yuichiro Hayashi; Kazunari Misawa; Kensaku Mori (CoRR, 2018)

Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation. - Holger R. Roth; Le Lu 001; Nathan Lay; Adam P. Harrison; Amal Farag; Andrew Sohn; Ronald M. Summers (Medical Image Anal., 2018)

Unsupervised segmentation of micro-CT images based on a hybrid of variational inference and adversarial learning. - Takayasu Moriya; Holger R. Roth; Shota Nakamura; Hirohisa Oda; Masahiro Oda 001; Kensaku Mori (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2019)

Scanning, registration, and fiber estimation of rabbit hearts using micro-focus and refraction-contrast x-ray CT. - Hirohisa Oda; Holger R. Roth; Takaaki Sugino; Naoki Sunaguchi; Noriko Usami; Masahiro Oda 001; Daisuke Shimao; Shu Ichihara; Tetsuya Yuasa; Masami Ando; Toshiaki Akita; Yuji Narita; et al. (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2019)

Polyp-size classification with RGB-D features for colonoscopy. - Hayato Itoh; Holger R. Roth; Yuichi Mori; Masashi Misawa; Masahiro Oda 001; Shin-ei Kudo; Kensaku Mori (Computer-Aided Diagnosis, 2019)

Lung segmentation based on a deep learning approach for dynamic chest radiography. - Yuki Kitahara; Rie Tanaka; Holger R. Roth; Hirohisa Oda; Kensaku Mori; Kazuo Kasahara; Isao Matsumoto (Computer-Aided Diagnosis, 2019)

Weakly-supervised deep learning of interstitial lung disease types on CT images. - Chenglong Wang; Takayasu Moriya; Yuichiro Hayashi; Holger Roth; Le Lu 001; Masahiro Oda 001; Hirotugu Ohkubo; Kensaku Mori (Computer-Aided Diagnosis, 2019)

End-to-End Adversarial Shape Learning for Abdomen Organ Deep Segmentation. - Jinzheng Cai; Yingda Xia; Dong Yang 005; Daguang Xu; Lin Yang 002; Holger Roth (MLMI@MICCAI, 2019)

Unsupervised Segmentation of Micro-CT Images of Lung Cancer Specimen Using Deep Generative Models. - Takayasu Moriya; Hirohisa Oda; Midori Mitarai; Shota Nakamura; Holger R. Roth; Masahiro Oda 001; Kensaku Mori (MICCAI (6), 2019)

4D CNN for Semantic Segmentation of Cardiac Volumetric Sequences. - Andriy Myronenko; Dong Yang 005; Varun Buch; Daguang Xu; Alvin Ihsani; Sean Doyle; Mark Michalski; Neil A. Tenenholtz; Holger Roth (STACOM@MICCAI, 2019)

Cardiac Segmentation of LGE MRI with Noisy Labels. - Holger Roth; Wentao Zhu 001; Dong Yang 005; Ziyue Xu 001; Daguang Xu (STACOM@MICCAI, 2019)

Weakly Supervised Segmentation from Extreme Points. - Holger Roth; Ling Zhang 002; Dong Yang 005; Fausto Milletari; Ziyue Xu 001; Xiaosong Wang 001; Daguang Xu (LABELS/HAL-MICCAI/CuRIOUS@MICCAI, 2019)

Interactive 3D Segmentation Editing and Refinement via Gated Graph Neural Networks. - Xiaosong Wang 001; Ling Zhang 002; Holger Roth; Daguang Xu; Ziyue Xu 001 (GLMI@MICCAI, 2019)

Tunable CT Lung Nodule Synthesis Conditioned on Background Image and Semantic Features. - Ziyue Xu 001; Xiaosong Wang 001; Hoo-Chang Shin; Holger Roth; Dong Yang 005; Fausto Milletari; Ling Zhang 002; Daguang Xu (SASHIMI@MICCAI, 2019)

Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation. - Dong Yang 005; Holger Roth; Ziyue Xu 001; Fausto Milletari; Ling Zhang 002; Daguang Xu (MICCAI (2), 2019)

Colonoscope tracking method based on shape estimation network. - Masahiro Oda 001; Holger R. Roth; Takayuki Kitasaka; Kazuhiro Furukawa; Ryoji Miyahara; Yoshiki Hirooka; Nassir Navab; Kensaku Mori (Image-Guided Procedures, 2019)

Improving V-Nets for multi-class abdominal organ segmentation. - Chen Shen 002; Fausto Milletari; Holger R. Roth; Hirohisa Oda; Masahiro Oda 001; Yuichiro Hayashi; Kazunari Misawa; Kensaku Mori (Image Processing, 2019)

Abdominal artery segmentation method from CT volumes using fully convolutional neural network. - Masahiro Oda 001; Holger R. Roth; Takayuki Kitasaka; Kazunari Misawa; Michitaka Fujiwara; Kensaku Mori (Int. J. Comput. Assist. Radiol. Surg., 2019)

Precise estimation of renal vascular dominant regions using spatially aware fully convolutional networks, tensor-cut and Voronoi diagrams. - Chenglong Wang; Holger R. Roth; Takayuki Kitasaka; Masahiro Oda 001; Yuichiro Hayashi; Yasushi Yoshino; Tokunori Yamamoto; Naoto Sassa; Momokazu Goto; Kensaku Mori (Comput. Medical Imaging Graph., 2019)

Interactive segmentation of medical images through fully convolutional neural networks. - Tomas Sakinis; Fausto Milletari; Holger Roth; Panagiotis Korfiatis; Petro M. Kostandy; Kenneth Philbrick; Zeynettin Akkus; Ziyue Xu 001; Daguang Xu; Bradley J. Erickson (CoRR, 2019)

When Unseen Domain Generalization is Unnecessary? Rethinking Data Augmentation. - Ling Zhang 002; Xiaosong Wang 001; Dong Yang 005; Thomas Sanford; Stephanie A. Harmon; Baris Turkbey; Holger Roth; Andriy Myronenko; Daguang Xu; Ziyue Xu 001 (CoRR, 2019)

Correlation via synthesis: end-to-end nodule image generation and radiogenomic map learning based on generative adversarial network. - Ziyue Xu 001; Xiaosong Wang 001; Hoo-Chang Shin; Dong Yang 005; Holger Roth; Fausto Milletari; Ling Zhang 002; Daguang Xu (CoRR, 2019)

C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation. - Qihang Yu; Dong Yang 005; Holger Roth; Yutong Bai; Yixiao Zhang 001; Alan L. Yuille; Daguang Xu (CVPR, 2020)

Usefulness of fine-tuning for deep learning based multi-organ regions segmentation method from non-contrast CT volumes using small training dataset. - Yuichiro Hayashi; Chen Shen 002; Holger R. Roth; Masahiro Oda 001; Kazunari Misawa; Masahiro Jinzaki; Masahiro Hashimoto; Kanako K. Kumamaru; Shigeki Aoki; Kensaku Mori (Computer-Aided Diagnosis, 2020)

Federated Learning for Breast Density Classification: A Real-World Implementation. - Holger R. Roth; Ken Chang; Praveer Singh; Nir Neumark; Wenqi Li 001; Vikash Gupta; Sharut Gupta; Liangqiong Qu; Alvin Ihsani; Bernardo C. Bizzo; Yuhong Wen; Varun Buch; et al. (DART/DCL@MICCAI, 2020)

Automated Pancreas Segmentation Using Multi-institutional Collaborative Deep Learning. - Pochuan Wang; Chen Shen 002; Holger R. Roth; Dong Yang 005; Daguang Xu; Masahiro Oda 001; Kazunari Misawa; Po-Ting Chen; Kao-Lang Liu; Wei-Chih Liao; Weichung Wang; Kensaku Mori (DART/DCL@MICCAI, 2020)

LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation. - Wentao Zhu 001; Can Zhao 001; Wenqi Li 001; Holger Roth; Ziyue Xu 001; Daguang Xu (MICCAI (4), 2020)

Correlation via Synthesis: End-to-end Image Generation and Radiogenomic Learning Based on Generative Adversarial Network. - Ziyue Xu 001; Xiaosong Wang 001; Hoo-Chang Shin; Dong Yang 005; Holger Roth; Fausto Milletari; Ling Zhang 002; Daguang Xu (MIDL, 2020)

Spatial information-embedded fully convolutional networks for multi-organ segmentation with improved data augmentation and instance normalization. - Chen Shen 002; Chenglong Wang; Holger R. Roth; Masahiro Oda 001; Yuichiro Hayashi; Kazunari Misawa; Kensaku Mori (Image Processing, 2020)

3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training. - Yingda Xia; Fengze Liu; Dong Yang 005; Jinzheng Cai; Lequan Yu; Zhuotun Zhu; Daguang Xu; Alan L. Yuille; Holger Roth (WACV, 2020)

NeurReg: Neural Registration and Its Application to Image Segmentation. - Wentao Zhu 001; Andriy Myronenko; Ziyue Xu 001; Wenqi Li 001; Holger Roth; Yufang Huang; Fausto Milletari; Daguang Xu (WACV, 2020)

Enhancing Foreground Boundaries for Medical Image Segmentation. - Dong Yang 005; Holger Roth; Xiaosong Wang 001; Ziyue Xu 001; Andriy Myronenko; Daguang Xu (CoRR, 2020)

Learning Image Labels On-the-fly for Training Robust Classification Models. - Xiaosong Wang 001; Ziyue Xu 001; Dong Yang 005; Leo K. Tam; Holger Roth; Daguang Xu (CoRR, 2020)

Democratizing Artificial Intelligence in Healthcare: A Study of Model Development Across Two Institutions Incorporating Transfer Learning. - Vikash Gupta; Holger Roth; Varun Buch; Marcio Aloisio Bezerra Cavalcanti Rockenbach; Richard D. White; Dong Yang 005; Olga Laur; Brian B. Ghoshhajra; Ittai Dayan; Daguang Xu; Mona G. Flores; Barbaros Selnur Erdal (CoRR, 2020)

Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation. - Yingda Xia; Dong Yang 005; Zhiding Yu; Fengze Liu; Jinzheng Cai; Lequan Yu; Zhuotun Zhu; Daguang Xu; Alan L. Yuille; Holger Roth (Medical Image Anal., 2020)

The future of digital health with federated learning. - Nicola Rieke; Jonny Hancox; Wenqi Li 001; Fausto Milletarì; Holger R. Roth; Shadi Albarqouni; Spyridon Bakas; Mathieu N. Galtier; Bennett A. Landman; Klaus H. Maier-Hein; Sébastien Ourselin; Micah J. Sheller; et al. (npj Digit. Medicine, 2020)

Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation. - Ling Zhang 002; Xiaosong Wang 001; Dong Yang 005; Thomas Sanford; Stephanie A. Harmon; Baris Turkbey; Bradford J. Wood; Holger Roth; Andriy Myronenko; Daguang Xu; Ziyue Xu 001 (IEEE Trans. Medical Imaging, 2020)

Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images. - Ali Hatamizadeh; Vishwesh Nath; Yucheng Tang; Dong Yang 005; Holger R. Roth; Daguang Xu (BrainLes@MICCAI (1), 2021)

Attention-Guided Pancreatic Duct Segmentation from Abdominal CT Volumes. - Chen Shen 002; Holger R. Roth; Yuichiro Hayashi; Masahiro Oda 001; Tadaaki Miyamoto; Gen Sato; Kensaku Mori (CLIP/DCL/LL-COVID19/PPML@MICCAI, 2021)

Multi-task Federated Learning for Heterogeneous Pancreas Segmentation. - Chen Shen 002; Pochuan Wang; Holger R. Roth; Dong Yang 005; Daguang Xu; Masahiro Oda 001; Weichung Wang; Chiou-Shann Fuh; Po-Ting Chen; Kao-Lang Liu; Wei-Chih Liao; Kensaku Mori (CLIP/DCL/LL-COVID19/PPML@MICCAI, 2021)

DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation. - Yufan He; Dong Yang 005; Holger Roth; Can Zhao 001; Daguang Xu (CVPR, 2021)

T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging. - Dong Yang 005; Andriy Myronenko; Xiaosong Wang 001; Ziyue Xu 001; Holger R. Roth; Daguang Xu (ICCV, 2021)

Accounting for Dependencies in Deep Learning Based Multiple Instance Learning for Whole Slide Imaging. - Andriy Myronenko; Ziyue Xu 001; Dong Yang 005; Holger R. Roth; Daguang Xu (MICCAI (8), 2021)

The Power of Proxy Data and Proxy Networks for Hyper-parameter Optimization in Medical Image Segmentation. - Vishwesh Nath; Dong Yang 005; Ali Hatamizadeh; Anas A. Abidin; Andriy Myronenko; Holger R. Roth; Daguang Xu (MICCAI (3), 2021)

Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures. - Holger R. Roth; Dong Yang 005; Wenqi Li 001; Andriy Myronenko; Wentao Zhu 001; Ziyue Xu 001; Xiaosong Wang 001; Daguang Xu (MICCAI (3), 2021)

Detection and Classification of Coronary Artery Plaques in Coronary Computed Tomography Angiography Using 3D CNN. - Jun-Ting Chen; Yu-Cheng Huang; Holger Roth; Dong Yang 005; Chih-Kuo Lee; Wen-Jeng Lee; Tzung-Dau Wang; Cheng-Ying Chou; Weichung Wang (STACOM@MICCAI, 2021)

UNETR: Transformers for 3D Medical Image Segmentation. - Ali Hatamizadeh; Dong Yang 005; Holger Roth; Daguang Xu (CoRR, 2021)

Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation. - Yingda Xia; Dong Yang 005; Wenqi Li 001; Andriy Myronenko; Daguang Xu; Hirofumi Obinata; Hitoshi Mori; Peng An; Stephanie A. Harmon; Evrim Turkbey; Baris Turkbey; Bradford J. Wood; et al. (CoRR, 2021)

Federated learning improves site performance in multicenter deep learning without data sharing. - Karthik V. Sarma; Stephanie A. Harmon; Thomas Sanford; Holger R. Roth; Ziyue Xu 001; Jesse Tetreault; Daguang Xu; Mona G. Flores; Alex G. Raman; Rushikesh Kulkarni; Bradford J. Wood; Peter L. Choyke; et al. (J. Am. Medical Informatics Assoc., 2021)

Going to Extremes: Weakly Supervised Medical Image Segmentation. - Holger R. Roth; Dong Yang 005; Ziyue Xu 001; Xiaosong Wang 001; Daguang Xu (Mach. Learn. Knowl. Extr., 2021)

Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan. - Dong Yang 005; Ziyue Xu 001; Wenqi Li 001; Andriy Myronenko; Holger R. Roth; Stephanie A. Harmon; Sheng Xu 001; Baris Turkbey; Evrim Turkbey; Xiaosong Wang 001; Wentao Zhu 001; Gianpaolo Carrafiello; et al. (Medical Image Anal., 2021)

Diminishing Uncertainty Within the Training Pool: Active Learning for Medical Image Segmentation. - Vishwesh Nath; Dong Yang 005; Bennett A. Landman; Daguang Xu; Holger R. Roth (IEEE Trans. Medical Imaging, 2021)

Guest Editorial Annotation-Efficient Deep Learning: The Holy Grail of Medical Imaging. - Nima Tajbakhsh; Holger Roth; Demetri Terzopoulos; Jianming Liang (IEEE Trans. Medical Imaging, 2021)

GradViT: Gradient Inversion of Vision Transformers. - Ali Hatamizadeh; Hongxu Yin; Holger Roth; Wenqi Li 001; Jan Kautz; Daguang Xu; Pavlo Molchanov 001 (CVPR, 2022)

Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis. - Yucheng Tang; Dong Yang 005; Wenqi Li 001; Holger R. Roth; Bennett A. Landman; Daguang Xu; Vishwesh Nath; Ali Hatamizadeh (CVPR, 2022)

Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation. - An Xu; Wenqi Li 001; Pengfei Guo; Dong Yang 005; Holger Roth; Ali Hatamizadeh; Can Zhao 001; Daguang Xu; Heng Huang; Ziyue Xu 001 (CVPR, 2022)

Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation. - Pengfei Guo; Dong Yang 005; Ali Hatamizadeh; An Xu; Ziyue Xu 001; Wenqi Li 001; Can Zhao 001; Daguang Xu; Stephanie A. Harmon; Evrim Turkbey; Baris Turkbey; Bradford J. Wood; et al. (ECCV (21), 2022)

DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images. - Andres Diaz-Pinto; Pritesh Mehta; Sachidanand Alle; Muhammad Asad 001; Richard Brown 004; Vishwesh Nath; Alvin Ihsani; Michela Antonelli; Daniel Palkovics; Csaba Pinter; Ron Alkalay; Steve Pieper 001; et al. (DALI@MICCAI, 2022)

Warm Start Active Learning with Proxy Labels and Selection via Semi-supervised Fine-Tuning. - Vishwesh Nath; Dong Yang 005; Holger R. Roth; Daguang Xu (MICCAI (8), 2022)

Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-modal Brain Tumor Segmentation. - Holger R. Roth; Ali Hatamizadeh; Ziyue Xu 001; Can Zhao 001; Wenqi Li 001; Andriy Myronenko; Daguang Xu (DeCaF/FAIR@MICCAI, 2022)

Joint Multi Organ and Tumor Segmentation from Partial Labels Using Federated Learning. - Chen Shen 002; Pochuan Wang; Dong Yang 005; Daguang Xu; Masahiro Oda 001; Po-Ting Chen; Kao-Lang Liu; Wei-Chih Liao; Chiou-Shann Fuh; Kensaku Mori; Weichung Wang; Holger R. Roth (DeCaF/FAIR@MICCAI, 2022)

Ensembled Prediction of Rheumatic Heart Disease from Ungated Doppler Echocardiography Acquired in Low-Resource Settings. - 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 (MICCAI (1), 2022)

Clinical-Realistic Annotation for Histopathology Images with Probabilistic Semi-supervision: A Worst-Case Study. - Ziyue Xu 001; Andriy Myronenko; Dong Yang 005; Holger R. Roth; Can Zhao 001; Xiaosong Wang 001; Daguang Xu (MICCAI (2), 2022)

Effective hyperparameter optimization with proxy data for multi-organ segmentation. - Chen Shen 002; Holger R. Roth; Vishwesh Nath; Yuichiro Hayashi; Masahiro Oda 001; Kazunari Misawa; Kensaku Mori (Image Processing, 2022)

UNETR: Transformers for 3D Medical Image Segmentation. - Ali Hatamizadeh; Yucheng Tang; Vishwesh Nath; Dong Yang 005; Andriy Myronenko; Bennett A. Landman; Holger R. Roth; Daguang Xu (WACV, 2022)

A cascaded fully convolutional network framework for dilated pancreatic duct segmentation. - Chen Shen 002; Holger R. Roth; Yuichiro Hayashi; Masahiro Oda 001; Tadaaki Miyamoto; Gen Sato; Kensaku Mori (Int. J. Comput. Assist. Radiol. Surg., 2022)

MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images. - Andres Diaz-Pinto; Sachidanand Alle; Alvin Ihsani; Muhammad Asad 001; Vishwesh Nath; Fernando Pérez-García; Pritesh Mehta; Wenqi Li 001; Holger R. Roth; Tom Vercauteren; Daguang Xu; Prerna Dogra; et al. (CoRR, 2022)

UNetFormer: A Unified Vision Transformer Model and Pre-Training Framework for 3D Medical Image Segmentation. - Ali Hatamizadeh; Ziyue Xu 001; Dong Yang 005; Wenqi Li 001; Holger Roth; Daguang Xu (CoRR, 2022)

Warm Start Active Learning with Proxy Labels & Selection via Semi-Supervised Fine-Tuning. - Vishwesh Nath; Dong Yang 005; Holger R. Roth; Daguang Xu (CoRR, 2022)

MONAI: An open-source framework for deep learning in healthcare. - M. Jorge Cardoso; Wenqi Li 001; Richard Brown 004; Nic Ma; Eric Kerfoot; Yiheng Wang; Benjamin Murray; Andriy Myronenko; Can Zhao 001; Dong Yang 005; Vishwesh Nath; Yufan He; et al. (CoRR, 2022)

Rapid artificial intelligence solutions in a pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge. - Holger R. Roth; Ziyue Xu 001; Carlos Tor-Díez; Ramon Sánchez-Jacob; Jonathan Zember; Jose Molto; Wenqi Li 001; Sheng Xu 001; Baris Turkbey; Evrim Turkbey; Dong Yang 005; Ahmed Harouni; et al. (Medical Image Anal., 2022)

Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge. - Xiahai Zhuang; Jiahang Xu; Xinzhe Luo; Chen Chen 042; Cheng Ouyang; Daniel Rueckert; Víctor M. Campello; Karim Lekadir; Sulaiman Vesal; Nishant Ravikumar; Yashu Liu 003; Gongning Luo; et al. (Medical Image Anal., 2022)

Fair Federated Medical Image Segmentation via Client Contribution Estimation. - Meirui Jiang; Holger R. Roth; Wenqi Li 001; Dong Yang 005; Can Zhao 001; Vishwesh Nath; Daguang Xu; Qi Dou 001; Ziyue Xu 001 (CVPR, 2023)

Automatic Visual Acuity Loss Prediction in Children with Optic Pathway Gliomas using Magnetic Resonance Imaging. - Zhifan Jiang; Abhijeet Parida; Syed Muhammad Anwar; Yucheng Tang; Holger R. Roth; Michael J. Fisher; Roger J. Packer; Robert A. Avery; Marius George Linguraru (EMBC, 2023)

Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples. - Jingwei Sun 002; Ziyue Xu 001; Dong Yang 005; Vishwesh Nath; Wenqi Li 001; Can Zhao 001; Daguang Xu; Yiran Chen 001; Holger R. Roth (ICCV, 2023)

Automatic Segmentation of Rare Pediatric Brain Tumors Using Knowledge Transfer From Adult Data. - Xinyang Liu; Erin R. Bonner; Zhifan Jiang; Holger R. Roth; Syed Muhammad Anwar; Roger J. Packer; Miriam Bornhorst; Marius George Linguraru (ISBI, 2023)

From adult to pediatric: deep learning-based automatic segmentation of rare pediatric brain tumors. - Xinyang Liu; Erin R. Bonner; Zhifan Jiang; Holger R. Roth; Roger J. Packer; Miriam Bornhorst; Marius George Linguraru (Computer-Aided Diagnosis, 2023)

ConDistFL: Conditional Distillation for Federated Learning from Partially Annotated Data. - Pochuan Wang; Chen Shen 002; Weichung Wang; Masahiro Oda 001; Chiou-Shann Fuh; Kensaku Mori; Holger R. Roth (ISIC/Care-AI/MedAGI/DeCaF@MICCAI, 2023)

DAST: Differentiable Architecture Search with Transformer for 3D Medical Image Segmentation. - Dong Yang 005; Ziyue Xu 001; Yufan He; Vishwesh Nath; Wenqi Li 001; Andriy Myronenko; Ali Hatamizadeh; Can Zhao 001; Holger R. Roth; Daguang Xu (MICCAI (3), 2023)

Semi-supervised Learning with Contrastive and Topology Losses for Catheter Segmentation and Misplacement Prediction. - Tianyu Hwang; Chih-Hung Wang; Holger R. Roth; Dong Yang 005; Can Zhao 001; Chien-Hua Huang; Weichung Wang (MIDL, 2023)

FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models. - Jingwei Sun 002; Ziyue Xu 001; Hongxu Yin; Dong Yang 005; Daguang Xu; Yiran Chen 001; Holger R. Roth (CoRR, 2023)

NVIDIA FLARE: Federated Learning from Simulation to Real-World. - Holger R. Roth; Yan Cheng; Yuhong Wen; Isaac Yang; Ziyue Xu 001; Yuan-Ting Hsieh; Kristopher Kersten; Ahmed Harouni; Can Zhao 001; Kevin Lu; Zhihong Zhang 001; Wenqi Li 001; et al. (IEEE Data Eng. Bull., 2023)

Do Gradient Inversion Attacks Make Federated Learning Unsafe? - Ali Hatamizadeh; Hongxu Yin; Pavlo Molchanov 001; Andriy Myronenko; Wenqi Li 001; Prerna Dogra; Andrew Feng; Mona G. Flores; Jan Kautz; Daguang Xu; Holger R. Roth (IEEE Trans. Medical Imaging, 2023)

Guest Editorial Special Issue on Federated Learning for Medical Imaging: Enabling Collaborative Development of Robust AI Models. - Holger R. Roth; Nicola Rieke; Shadi Albarqouni; Quanzheng Li (IEEE Trans. Medical Imaging, 2023)

Accelerating artificial intelligence: How federated learning can protect privacy, facilitate collaboration, and improve outcomes. - 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 (Health Informatics J., 2023)

FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models. - Jingwei Sun 002; Ziyue Xu 001; Hongxu Yin; Dong Yang 005; Daguang Xu; Yudong Liu; Zhixu Du; Yiran Chen 001; Holger R. Roth (ICML, 2024)

Uncertainty-Driven Rheumatic Heart Disease Detection through Active Learning. - Pooneh Roshanitabrizi; Vishwesh Nath; Kelsey Brown; Alison Tompsett; Joselyn Rwebembera; Emmy Okello; Andrea Z. Beaton; Holger R. Roth; Craig A. Sable; Marius George Linguraru (ISBI, 2024)

D-Rax: Domain-Specific Radiologic Assistant Leveraging Multi-modal Data and eXpert Model Predictions. - Hareem Nisar; Syed Muhammad Anwar; Zhifan Jiang; Abhijeet Parida; Ramon Sánchez-Jacob; Vishwesh Nath; Holger R. Roth; Marius George Linguraru (MedAGI@MICCAI, 2024)

Super-Field MRI Synthesis for Infant Brains Enhanced by Dual Channel Latent Diffusion. - Austin Tapp; Can Zhao 001; Holger R. Roth; Jeffrey Tanedo; Syed Muhammad Anwar; Niall J. Bourke; Joseph V. Hajnal; Victoria Nankabirwa; Sean C. L. Deoni; Natasha Leporé; Marius George Linguraru (MICCAI (3), 2024)

Data Alchemy: Mitigating Cross-Site Model Variability Through Test Time Data Calibration. - Abhijeet Parida; Antònia Alomar; Zhifan Jiang; Pooneh Roshanitabrizi; Austin Tapp; María J. Ledesma-Carbayo; Ziyue Xu 001; Syed Muhammed Anwar; Marius George Linguraru; Holger R. Roth (MLMI@MICCAI (2), 2024)

Federated Black-box Prompt Tuning System for Large Language Models on the Edge. - Yiming Li; Jingwei Sun 002; Yudong Liu; Yuandong Zhang; Ang Li 005; Beidi Chen; Holger R. Roth; Daguang Xu; Tingjun Chen; Yiran Chen 001 (MobiCom, 2024)

Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? - Pedro R. A. S. Bassi; Wenxuan Li; Yucheng Tang; Fabian Isensee; Zifu Wang; Jieneng Chen; Yu-Cheng Chou; Yannick Kirchhoff; Maximilian Rokuss; Ziyan Huang; Jin Ye 002; Junjun He; et al. (NeurIPS, 2024)

IR-FRestormer: Iterative Refinement with Fourier-Based Restormer for Accelerated MRI Reconstruction. - Mohammad Zalbagi Darestani; Vishwesh Nath; Wenqi Li 001; Yufan He; Holger R. Roth; Ziyue Xu 001; Daguang Xu; Reinhard Heckel; Can Zhao 001 (WACV, 2024)

Learning Quality Labels for Robust Image Classification. - Xiaosong Wang 001; Ziyue Xu 001; Dong Yang 005; Leo K. Tam; Holger Roth; Daguang Xu (WACV, 2024)

Empowering Federated Learning for Massive Models with NVIDIA FLARE. - Holger R. Roth; Ziyue Xu 001; Yuan-Ting Hsieh; Adithya Renduchintala; Isaac Yang; Zhihong Zhang 001; Yuhong Wen; Sean Yang; Kevin Lu; Kristopher Kersten; Camir Ricketts; Daguang Xu; et al. (CoRR, 2024)

Federated Learning Privacy: Attacks, Defenses, Applications, and Policy Landscape - A Survey. - Joshua C. Zhao; Saurabh Bagchi; Salman Avestimehr; Kevin S. Chan; Somali Chaterji; Dimitris Dimitriadis; Jiacheng Li; Ninghui Li; Arash Nourian; Holger R. Roth (CoRR, 2024)

Fair Evaluation of Federated Learning Algorithms for Automated Breast Density Classification: The Results of the 2022 ACR-NCI-NVIDIA Federated Learning Challenge. - Kendall Schmidt; Ben Bearce; Ken Chang; Laura Coombs; Keyvan Farahani; Marawan Elbatel; Kaouther Mouheb; Robert Marti; Ruipeng Zhang; Yao Zhang 010; Yanfeng Wang 001; Yaojun Hu; et al. (CoRR, 2024)

Supercharging Federated Learning with Flower and NVIDIA FLARE. - Holger R. Roth; Daniel J. Beutel; Yan Cheng; Javier Fernández-Marqués; Heng Pan; Chester Chen; Zhihong Zhang 001; Yuhong Wen; Sean Yang; Isaac Yang; Yuan-Ting Hsieh; Ziyue Xu 001; et al. (CoRR, 2024)

D-Rax: Domain-specific Radiologic assistant leveraging multi-modal data and eXpert model predictions. - Hareem Nisar; Syed Muhammad Anwar; Zhifan Jiang; Abhijeet Parida; Vishwesh Nath; Holger R. Roth; Marius George Linguraru (CoRR, 2024)

HoloHisto: End-to-end Gigapixel WSI Segmentation with 4K Resolution Sequential Tokenization. - Yucheng Tang; Yufan He; Vishwesh Nath; Pengfei Guo; Ruining Deng; Tianyuan Yao; Quan Liu 002; Can Cui 006; Mengmeng Yin; Ziyue Xu 001; Holger Roth; Daguang Xu; et al. (CoRR, 2024)

Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? - Pedro R. A. S. Bassi; Wenxuan Li; Yucheng Tang; Fabian Isensee; Zifu Wang; Jieneng Chen; Yu-Cheng Chou; Yannick Kirchhoff; Maximilian Rokuss; Ziyan Huang; Jin Ye 002; Junjun He; et al. (CoRR, 2024)

VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge. - Vishwesh Nath; Wenqi Li 001; Dong Yang 005; Andriy Myronenko; Mingxin Zheng; Yao Lu 006; Zhijian Liu; Hongxu Yin; Yee Man Law; Yucheng Tang; Pengfei Guo; Can Zhao 001; et al. (CoRR, 2024)

C-FedRAG: A Confidential Federated Retrieval-Augmented Generation System. - Parker Addison; Minh-Tuan H. Nguyen; Tomislav Medan; Jinali Shah; Mohammad T. Manzari; Brendan McElrone; Laksh Lalwani; Aboli More; Smita Sharma; Holger R. Roth; Isaac Yang; Chester Chen; et al. (CoRR, 2024)

Federated Learning with Partially Labeled Data: A Conditional Distillation Approach. - Pochuan Wang; Chen Shen 002; Masahiro Oda 001; Chiou-Shann Fuh; Kensaku Mori; Weichung Wang; Holger R. Roth (CoRR, 2024)

MONAI Label: A framework for AI-assisted interactive labeling of 3D medical images. - Andres Diaz-Pinto; Sachidanand Alle; Vishwesh Nath; Yucheng Tang; Alvin Ihsani; Muhammad Asad 001; Fernando Pérez-García; Pritesh Mehta; Wenqi Li 001; Mona Flores; Holger R. Roth; Tom Vercauteren; et al. (Medical Image Anal., 2024)

Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challenge. - Kendall Schmidt; Benjamin Bearce; Ken Chang; Laura Coombs; Keyvan Farahani; Marawan Elbatel; Kaouther Mouheb; Robert Marti; Ruipeng Zhang; Ya Zhang 002; Yanfeng Wang 001; Yaojun Hu; et al. (Medical Image Anal., 2024)

Toward a tipping point in federated learning in healthcare and life sciences. - Inken Hagestedt; Ian Hales; Eric Boernert; Holger R. Roth; Michael A. Hoeh; Robin Roehm; Ellie Dobson; José Tomás Prieto (Patterns, 2024)

Anatomical attention can help to segment the dilated pancreatic duct in abdominal CT. - Chen Shen 002; Holger R. Roth; Yuichiro Hayashi; Masahiro Oda 001; Gen Sato; Tadaaki Miyamoto; Daniel Rueckert; Kensaku Mori (Int. J. Comput. Assist. Radiol. Surg., 2024)

Deep Learning-based Diagnosis and Localization of Pneumothorax on Portable Supine Chest X-ray in Intensive and Emergency Medicine: A Retrospective Study. - Chih-Hung Wang; Tzu-Ching Lin; Guanru Chen; Meng-Rui Lee; Joyce Tay; Cheng-Yi Wu; Meng-Che Wu; Holger R. Roth; Dong Yang 005; Can Zhao 001; Weichung Wang; Chien-Hua Huang (J. Medical Syst., 2024)

VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge. - Vishwesh Nath; Wenqi Li 001; Dong Yang 005; Andriy Myronenko; Mingxin Zheng; Yao Lu 006; Zhijian Liu; Hongxu Yin; Yee Man Law; Yucheng Tang; Pengfei Guo; Can Zhao 001; et al. (CVPR, 2025)

KALM: Knowledge-Driven Active Learning for Medical Image Segmentation Using Localized Similarity. - Zhifan Jiang; Vishwesh Nath; Holger R. Roth; Abhijeet Parida; Nicholas Foreman; Michael J. Fisher; Roger J. Packer; Syed Muhammad Anwar; Robert A. Avery; Marius George Linguraru (ISBI, 2025)

Controllable Latent Diffusion-Based 3D Brain Tumor Segmentation: With Synthetic Label Generation and Detailed Variance Map. - Xinyang Liu; Pengfei Guo; Daniel Capellán-Martín; Zhifan Jiang; Holger R. Roth; Austin Tapp; María J. Ledesma-Carbayo; Syed Muhammad Anwar; Marius George Linguraru (ISBI, 2025)

Secure Federated XGBoost with CUDA-accelerated Homomorphic Encryption via NVIDIA FLARE. - Ziyue Xu 001; Yuan-Ting Hsieh; Zhihong Zhang 001; Holger R. Roth; Chester Chen; Yan Cheng; Andrew Feng (CoRR, 2025)

The Federation Strikes Back: A Survey of Federated Learning Privacy Attacks, Defenses, Applications, and Policy Landscape. - Joshua C. Zhao; Saurabh Bagchi; Salman Avestimehr; Kevin S. Chan; Somali Chaterji; Dimitris Dimitriadis; Jiacheng Li; Ninghui Li; Arash Nourian; Holger Roth (ACM Comput. Surv., 2025)