Holger Roth

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 58

Top Topics

Interstitial Lung

Image Segmentation

Top Venues

Publications

Yucheng Tang, Yufan He, Vishwesh Nath, Pengfei Guo, Ruining Deng, Tianyuan Yao, Quan Liu, Can Cui, Mengmeng Yin, Ziyue Xu, Holger Roth, Daguang Xu, Haichun Yang, Yuankai Huo
HoloHisto: End-to-end Gigapixel WSI Segmentation with 4K Resolution Sequential Tokenization. CoRR (2024)
Xiaosong Wang, Ziyue Xu, Dong Yang, Leo K. Tam, Holger Roth, Daguang Xu
Learning Quality Labels for Robust Image Classification. WACV (2024)
Ali Hatamizadeh, Hongxu Yin, Holger Roth, Wenqi Li, Jan Kautz, Daguang Xu, Pavlo Molchanov
GradViT: Gradient Inversion of Vision Transformers. CVPR (2022)
Xiahai Zhuang, Jiahang Xu, Xinzhe Luo, Chen Chen, Cheng Ouyang, Daniel Rueckert, Víctor M. Campello, Karim Lekadir, Sulaiman Vesal, Nishant Ravikumar, Yashu Liu, Gongning Luo, Jingkun Chen, Hongwei Li, Buntheng Ly, Maxime Sermesant, Holger Roth, Wentao Zhu, Jiexiang Wang, Xinghao Ding, Xinyue Wang, Sen Yang, Lei Li
Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge. Medical Image Anal. 81 (2022)
An Xu, Wenqi Li, Pengfei Guo, Dong Yang, Holger Roth, Ali Hatamizadeh, Can Zhao, Daguang Xu, Heng Huang, Ziyue Xu
Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation. CoRR (2022)
Ali Hatamizadeh, Ziyue Xu, Dong Yang, Wenqi Li, Holger Roth, Daguang Xu
UNetFormer: A Unified Vision Transformer Model and Pre-Training Framework for 3D Medical Image Segmentation. CoRR (2022)
Ali Hatamizadeh, Vishwesh Nath, Yucheng Tang, Dong Yang, Holger Roth, Daguang Xu
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images. CoRR (2022)
An Xu, Wenqi Li, Pengfei Guo, Dong Yang, Holger Roth, Ali Hatamizadeh, Can Zhao, Daguang Xu, Heng Huang, Ziyue Xu
Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation. CVPR (2022)
Ali Hatamizadeh, Hongxu Yin, Holger Roth, Wenqi Li, Jan Kautz, Daguang Xu, Pavlo Molchanov
GradViT: Gradient Inversion of Vision Transformers. CoRR (2022)
Yucheng Tang, Dong Yang, Wenqi Li, Holger Roth, Bennett A. Landman, Daguang Xu, Vishwesh Nath, Ali Hatamizadeh
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis. CoRR (2021)
Ali Hatamizadeh, Dong Yang, Holger Roth, Daguang Xu
UNETR: Transformers for 3D Medical Image Segmentation. CoRR (2021)
Jun-Ting Chen, Yu-Cheng Huang, Holger Roth, Dong Yang, Chih-Kuo Lee, Wen-Jeng Lee, Tzung-Dau Wang, Cheng-Ying Chou, Weichung Wang
Detection and Classification of Coronary Artery Plaques in Coronary Computed Tomography Angiography Using 3D CNN. STACOM@MICCAI (2021)
Yingda Xia, Dong Yang, Wenqi Li, Andriy Myronenko, Daguang Xu, Hirofumi Obinata, Hitoshi Mori, Peng An, Stephanie A. Harmon, Evrim Turkbey, Baris Turkbey, Bradford J. Wood, Francesca Patella, Elvira Stellato, Gianpaolo Carrafiello, Anna Ierardi, Alan L. Yuille, Holger Roth
Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation. CoRR (2021)
Andriy Myronenko, Ziyue Xu, Dong Yang, Holger Roth, Daguang Xu
Accounting for Dependencies in Deep Learning Based Multiple Instance Learning for Whole Slide Imaging. CoRR (2021)
Yufan He, Dong Yang, Holger Roth, Can Zhao, Daguang Xu
DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation. CVPR (2021)
Yufan He, Dong Yang, Holger Roth, Can Zhao, Daguang Xu
DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation. CoRR (2021)
Nima Tajbakhsh, Holger Roth, Demetri Terzopoulos, Jianming Liang
Guest Editorial Annotation-Efficient Deep Learning: The Holy Grail of Medical Imaging. IEEE Trans. Medical Imaging 40 (10) (2021)
Vishwesh Nath, Dong Yang, Ali Hatamizadeh, Anas A. Abidin, Andriy Myronenko, Holger Roth, Daguang Xu
The Power of Proxy Data and Proxy Networks for Hyper-Parameter Optimization in Medical Image Segmentation. CoRR (2021)
Xiahai Zhuang, Jiahang Xu, Xinzhe Luo, Chen Chen, Cheng Ouyang, Daniel Rueckert, Víctor M. Campello, Karim Lekadir, Sulaiman Vesal, Nishant Ravikumar, Yashu Liu, Gongning Luo, Jingkun Chen, Hongwei Li, Buntheng Ly, Maxime Sermesant, Holger Roth, Wentao Zhu, Jiexiang Wang, Xinghao Ding, Xinyue Wang, Sen Yang, Lei Li
Cardiac Segmentation on Late Gadolinium Enhancement MRI: A Benchmark Study from Multi-Sequence Cardiac MR Segmentation Challenge. CoRR (2020)
Wentao Zhu, Can Zhao, Wenqi Li, Holger Roth, Ziyue Xu, Daguang Xu
LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation. CoRR (2020)
Dong Yang, Holger Roth, Ziyue Xu, Fausto Milletari, Ling Zhang, Daguang Xu
Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation. CoRR (2020)
Qihang Yu, Dong Yang, Holger Roth, Yutong Bai, Yixiao Zhang, Alan L. Yuille, Daguang Xu
C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation. CVPR (2020)
Wentao Zhu, Can Zhao, Wenqi Li, Holger Roth, Ziyue Xu, Daguang Xu
LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation. MICCAI (4) (2020)
Xiaosong Wang, Ziyue Xu, Dong Yang, Leo K. Tam, Holger Roth, Daguang Xu
Learning Image Labels On-the-fly for Training Robust Classification Models. CoRR (2020)
Yingda Xia, Dong Yang, Zhiding Yu, Fengze Liu, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan L. Yuille, Holger Roth
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation. Medical Image Anal. 65 (2020)
Yingda Xia, Dong Yang, Zhiding Yu, Fengze Liu, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan L. Yuille, Holger Roth
Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation. CoRR (2020)
Yingda Xia, Fengze Liu, Dong Yang, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan L. Yuille, Holger Roth
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training. WACV (2020)
Vikash Gupta, Holger Roth, Varun Buch, Marcio Aloisio Bezerra Cavalcanti Rockenbach, Richard D. White, Dong Yang, Olga Laur, Brian B. Ghoshhajra, Ittai Dayan, Daguang Xu, Mona G. Flores, Barbaros Selnur Erdal
Democratizing Artificial Intelligence in Healthcare: A Study of Model Development Across Two Institutions Incorporating Transfer Learning. CoRR (2020)
Dong Yang, Holger Roth, Xiaosong Wang, Ziyue Xu, Andriy Myronenko, Daguang Xu
Enhancing Foreground Boundaries for Medical Image Segmentation. CoRR (2020)
Ling Zhang, Xiaosong Wang, Dong Yang, Thomas Sanford, Stephanie A. Harmon, Baris Turkbey, Bradford J. Wood, Holger Roth, Andriy Myronenko, Daguang Xu, Ziyue Xu
Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation. IEEE Trans. Medical Imaging 39 (7) (2020)
Ziyue Xu, Xiaosong Wang, Hoo-Chang Shin, Dong Yang, Holger Roth, Fausto Milletari, Ling Zhang, Daguang Xu
Correlation via Synthesis: End-to-end Image Generation and Radiogenomic Learning Based on Generative Adversarial Network. MIDL (2020)
Wentao Zhu, Andriy Myronenko, Ziyue Xu, Wenqi Li, Holger Roth, Yufang Huang, Fausto Milletari, Daguang Xu
NeurReg: Neural Registration and Its Application to Image Segmentation. WACV (2020)
Nicola Rieke, Jonny Hancox, Wenqi Li, Fausto Milletari, Holger 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. CoRR (2020)
Dong Yang, Holger Roth, Ziyue Xu, Fausto Milletari, Ling Zhang, Daguang Xu
Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation. MICCAI (2) (2019)
Holger Roth, Wentao Zhu, Dong Yang, Ziyue Xu, Daguang Xu
Cardiac Segmentation of LGE MRI with Noisy Labels. STACOM@MICCAI (2019)
Holger Roth, Wentao Zhu, Dong Yang, Ziyue Xu, Daguang Xu
Cardiac Segmentation of LGE MRI with Noisy Labels. CoRR (2019)
Jinzheng Cai, Yingda Xia, Dong Yang, Daguang Xu, Lin Yang, Holger Roth
End-to-End Adversarial Shape Learning for Abdomen Organ Deep Segmentation. CoRR (2019)
Andriy Myronenko, Dong Yang, Varun Buch, Daguang Xu, Alvin Ihsani, Sean Doyle, Mark Michalski, Neil A. Tenenholtz, Holger Roth
4D CNN for Semantic Segmentation of Cardiac Volumetric Sequences. STACOM@MICCAI (2019)
Holger Roth, Ling Zhang, Dong Yang, Fausto Milletari, Ziyue Xu, Xiaosong Wang, Daguang Xu
Weakly Supervised Segmentation from Extreme Points. LABELS/HAL-MICCAI/CuRIOUS@MICCAI (2019)
Jinzheng Cai, Yingda Xia, Dong Yang, Daguang Xu, Lin Yang, Holger Roth
End-to-End Adversarial Shape Learning for Abdomen Organ Deep Segmentation. MLMI@MICCAI (2019)
Holger Roth, Ling Zhang, Dong Yang, Fausto Milletari, Ziyue Xu, Xiaosong Wang, Daguang Xu
Weakly supervised segmentation from extreme points. CoRR (2019)
Tomas Sakinis, Fausto Milletari, Holger Roth, Panagiotis Korfiatis, Petro M. Kostandy, Kenneth Philbrick, Zeynettin Akkus, Ziyue Xu, Daguang Xu, Bradley J. Erickson
Interactive segmentation of medical images through fully convolutional neural networks. CoRR (2019)
Ziyue Xu, Xiaosong Wang, Hoo-Chang Shin, Holger Roth, Dong Yang, Fausto Milletari, Ling Zhang, Daguang Xu
Tunable CT Lung Nodule Synthesis Conditioned on Background Image and Semantic Features. SASHIMI@MICCAI (2019)
Andriy Myronenko, Dong Yang, Varun Buch, Daguang Xu, Alvin Ihsani, Sean Doyle, Mark Michalski, Neil A. Tenenholtz, Holger Roth
4D CNN for semantic segmentation of cardiac volumetric sequences. CoRR (2019)
Qihang Yu, Dong Yang, Holger Roth, Yutong Bai, Yixiao Zhang, Alan L. Yuille, Daguang Xu
C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation. CoRR (2019)
Ling Zhang, Xiaosong Wang, Dong Yang, Thomas Sanford, Stephanie A. Harmon, Baris Turkbey, Holger Roth, Andriy Myronenko, Daguang Xu, Ziyue Xu
When Unseen Domain Generalization is Unnecessary? Rethinking Data Augmentation. CoRR (2019)
Chenglong Wang, Takayasu Moriya, Yuichiro Hayashi, Holger Roth, Le Lu, Masahiro Oda, Hirotugu Ohkubo, Kensaku Mori
Weakly-supervised deep learning of interstitial lung disease types on CT images. Medical Imaging: Computer-Aided Diagnosis (2019)
Wentao Zhu, Andriy Myronenko, Ziyue Xu, Wenqi Li, Holger Roth, Yufang Huang, Fausto Milletari, Daguang Xu
NeurReg: Neural Registration and Its Application to Image Segmentation. CoRR (2019)
Ziyue Xu, Xiaosong Wang, Hoo-Chang Shin, Dong Yang, Holger Roth, Fausto Milletari, Ling Zhang, Daguang Xu
Correlation via synthesis: end-to-end nodule image generation and radiogenomic map learning based on generative adversarial network. CoRR (2019)
Xiaosong Wang, Ling Zhang, Holger Roth, Daguang Xu, Ziyue Xu
Interactive 3D Segmentation Editing and Refinement via Gated Graph Neural Networks. GLMI@MICCAI (2019)
Holger Roth, Masahiro Oda, Natsuki Shimizu, Hirohisa Oda, Yuichiro Hayashi, Takayuki Kitasaka, Michitaka Fujiwara, Kazunari Misawa, Kensaku Mori
Towards dense volumetric pancreas segmentation in CT using 3D fully convolutional networks. Medical Imaging: Image Processing (2018)
Adrian Barbu, Le Lu, Holger Roth, Ari Seff, Ronald M. Summers
An analysis of robust cost functions for CNN in computer-aided diagnosis. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 6 (3) (2018)
Mingchen Gao, Ulas Bagci, Le Lu, Aaron Wu, Mario Buty, Hoo-Chang Shin, Holger Roth, Georgios Z. Papadakis, Adrien Depeursinge, Ronald M. Summers, Ziyue Xu, Daniel J. Mollura
Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 6 (1) (2018)
Yingda Xia, Fengze Liu, Dong Yang, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan L. Yuille, Holger Roth
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training. CoRR (2018)
Shuqing Chen, Holger Roth, Sabrina Dorn, Matthias May, Alexander Cavallaro, Michael M. Lell, Marc Kachelrieß, Hirohisa Oda, Kensaku Mori, Andreas K. Maier
Towards Automatic Abdominal Multi-Organ Segmentation in Dual Energy CT using Cascaded 3D Fully Convolutional Network. CoRR (2017)
Holger Roth, Masahiro Oda, Natsuki Shimizu, Hirohisa Oda, Yuichiro Hayashi, Takayuki Kitasaka, Michitaka Fujiwara, Kazunari Misawa, Kensaku Mori
Towards dense volumetric pancreas segmentation in CT using 3D fully convolutional networks. CoRR (2017)
Cheng Wang, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Holger Roth, Kensaku Mori
Motion Vector for Outlier Elimination in Feature Matching and Its Application in SLAM Based Laparoscopic Tracking. CARE/CLIP@MICCAI (2017)
Isabella Nogues, Le Lu, Xiaosong Wang, Holger Roth, Gedas Bertasius, Nathan Lay, Jianbo Shi, Yohannes Tsehay, Ronald M. Summers
Automatic Lymph Node Cluster Segmentation Using Holistically-Nested Neural Networks and Structured Optimization in CT Images. MICCAI (2) (2016)
Holger Roth, Amal Farag, Le Lu, Evrim B. Turkbey, Ronald M. Summers
Deep convolutional networks for pancreas segmentation in CT imaging. CoRR (2015)
Ari Seff, Le Lu, Adrian Barbu, Holger Roth, Hoo-Chang Shin, Ronald M. Summers
Leveraging Mid-Level Semantic Boundary Cues for Automated Lymph Node Detection. MICCAI (2) (2015)
Ari Seff, Le Lu, Kevin M. Cherry, Holger Roth, Jiamin Liu, Shijun Wang, Joanne Hoffman, Evrim B. Turkbey, Ronald M. Summers
2D View Aggregation for Lymph Node Detection Using a Shallow Hierarchy of Linear Classifiers. CoRR (2014)
Holger Roth, Emma Helbren, Thomas Hampshire, Perry J. Pickhardt, Steve Halligan, David J. Hawkes
Registration of Temporally Separated CT Colonography Cases. Abdominal Imaging (2013)
Thomas Hampshire, Holger Roth, Emma Helbren, Andrew Plumb, Darren Boone, Greg G. Slabaugh, Steve Halligan, David J. Hawkes
Endoluminal surface registration for CT colonography using haustral fold matching. Medical Image Anal. 17 (8) (2013)
Thomas Hampshire, Emma Helbren, Andrew Plumb, Holger Roth, Steve Halligan, David J. Hawkes
Spatial Correspondence between Prone and Supine CT Colonography Images: Creating a Reference Standard. Abdominal Imaging (2013)
Holger Roth, Jamie McClelland, Thomas Hampshire, Darren Boone, Yipeng Hu, Marc Modat, Hui Zhang, Sébastien Ourselin, Steve Halligan, David J. Hawkes
Registration of Prone and Supine CT Colonography Datasets with Differing Endoluminal Distension. Abdominal Imaging (2013)
Thomas Hampshire, Holger Roth, Darren Boone, Greg G. Slabaugh, Steve Halligan, David J. Hawkes
Prone to Supine CT Colonography Registration Using a Landmark and Intensity Composite Method. Abdominal Imaging (2012)
David J. Hawkes, Thomy Mertzanidou, John H. Hipwell, David Atkinson, Holger Roth, Tom Hampshire, Jamie McClelland
Establishing spatial correspondence for the analysis of images from highly deforming anatomy. EMBC (2012)
Holger Roth, Darren Boone, Steve Halligan, Thomas Hampshire, Jamie McClelland, Mingxing Hu, Shonit Punwani, Stuart Taylor, David J. Hawkes
External Clinical Validation of Prone and Supine CT Colonography Registration. Abdominal Imaging (2012)
Thomas Hampshire, Holger Roth, Mingxing Hu, Darren Boone, Greg G. Slabaugh, Shonit Punwani, Steve Halligan, David J. Hawkes
Automatic Prone to Supine Haustral Fold Matching in CT Colonography Using a Markov Random Field Model. MICCAI (1) (2011)
Holger Roth, Thomas Hampshire, Jamie McClelland, Mingxing Hu, Darren Boone, Greg G. Slabaugh, Steve Halligan, David J. Hawkes
Inverse Consistency Error in the Registration of Prone and Supine Images in CT Colonography. Abdominal Imaging (2011)
Holger Roth, Jamie McClelland, Marc Modat, Darren Boone, Mingxing Hu, Sébastien Ourselin, Greg G. Slabaugh, Steve Halligan, David J. Hawkes
Establishing Spatial Correspondence between the Inner Colon Surfaces from Prone and Supine CT Colonography. MICCAI (3) (2010)