Holger Roth - RankMe

82 papers A* 6A 3B 1Journal 44Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	—	`ed.`	Bridging Regulatory Science and Medical Imaging Evaluation; and Distributed, Collaborative, and Federated Learning - First International Workshop, BRIDGE 2025, and 6th International Workshop, DeCaF 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23 and September 27, 2025, Proceedings BRIDGE/DeCaF@MICCAI Ghada Zamzmi, Annika Reinke, Ravi Samala, Meirui Jiang, Xiaoxiao Li, Holger Roth, Mariia Sidulova, Thijs Kooi, Shadi Albarqouni, Spyridon Bakas, Nicola Rieke
2025	J	`jnl`	A Technical Policy Blueprint for Trustworthy Decentralized AI. CoRR Hasan Kassem, Sergen Cansiz, Brandon Edwards, Patrick Foley, Inken Hagestedt, Taeho Jung, Prakash Narayana Moorthy, Michael O'Connor, Bruno Rodrigues, Holger Roth, Micah J. Sheller, Dimitris Stripelis, Marc Vesin, Renato Umeton, Mic Bowman, Alexandros Karargyris
2025	J	`jnl`	The Federation Strikes Back: A Survey of Federated Learning Privacy Attacks, Defenses, Applications, and Policy Landscape. ACM Comput. Surv. Joshua C. Zhao, Saurabh Bagchi, Salman Avestimehr, Kevin S. Chan, Somali Chaterji, Dimitris Dimitriadis, Jiacheng Li, Ninghui Li, Arash Nourian, Holger Roth
2025	A*	`conf`	VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge. CVPR Vishwesh Nath, Wenqi Li, Dong Yang, Andriy Myronenko, Mingxin Zheng, Yao Lu, Zhijian Liu, Hongxu Yin, Yee Man Law, Yucheng Tang, Pengfei Guo, Can Zhao, Ziyue Xu, Yufan He, Stephanie A. Harmon, Benjamin Simon, Greg Heinrich, Stephen R. Aylward, Marc Edgar, Michael Zephyr, Pavlo Molchanov, Baris Turkbey, Holger Roth, Daguang Xu
2024	J	`jnl`	HoloHisto: End-to-end Gigapixel WSI Segmentation with 4K Resolution Sequential Tokenization. CoRR 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
2024	A	`conf`	Learning Quality Labels for Robust Image Classification. WACV Xiaosong Wang, Ziyue Xu, Dong Yang, Leo K. Tam, Holger Roth, Daguang Xu
2024	A*	`conf`	Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? NeurIPS 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, Junjun He, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. Jaeger, Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Yong Xia, Zhaohu Xing, Lei Zhu, Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof, Pengcheng Shi, Ting Ma, Yuxin Du, Fan Bai, Tiejun Huang, Bo Zhao, Haonan Wang, Xiaomeng Li, Hanxue Gu, Haoyu Dong, Jichen Yang, Maciej A. Mazurowski, Saumya Gupta, Linshan Wu, Jia-Xin Zhuang, Hao Chen, Holger Roth, Daguang Xu, Matthew B. Blaschko, Sergio Decherchi, Andrea Cavalli, Alan L. Yuille, Zongwei Zhou
2024	J	`jnl`	Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? CoRR 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, Junjun He, Tassilo Wald, Constantin Ulrich, Michael Baumgartner, Saikat Roy, Klaus H. Maier-Hein, Paul F. Jaeger, Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Yong Xia, Zhaohu Xing, Lei Zhu, Yousef Sadegheih, Afshin Bozorgpour, Pratibha Kumari, Reza Azad, Dorit Merhof, Pengcheng Shi, Ting Ma, Yuxin Du, Fan Bai, Tiejun Huang, Bo Zhao, Haonan Wang, Xiaomeng Li, Hanxue Gu, Haoyu Dong, Jichen Yang, Maciej A. Mazurowski, Saumya Gupta, Linshan Wu, Jiaxin Zhuang, Hao Chen, Holger Roth, Daguang Xu, Matthew B. Blaschko, Sergio Decherchi, Andrea Cavalli, Alan L. Yuille, Zongwei Zhou
2024	J	`jnl`	VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge. CoRR Vishwesh Nath, Wenqi Li, Dong Yang, Andriy Myronenko, Mingxin Zheng, Yao Lu, Zhijian Liu, Hongxu Yin, Yee Man Law, Yucheng Tang, Pengfei Guo, Can Zhao, Ziyue Xu, Yufan He, Greg Heinrich, Stephen R. Aylward, Marc Edgar, Michael Zephyr, Pavlo Molchanov, Baris Turkbey, Holger Roth, Daguang Xu
2023	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops - ISIC 2023, Care-AI 2023, MedAGI 2023, DeCaF 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8-12, 2023, Proceedings ISIC/Care-AI/MedAGI/DeCaF@MICCAI M. Emre Celebi, Md Sirajus Salekin, Hyunwoo J. Kim, Shadi Albarqouni, Catarina Barata, Allan Halpern, Philipp Tschandl, Marc Combalia, Yuan Liu, Ghada Zamzmi, Joshua Levy, Huzefa Rangwala, Annika Reinke, Diya Wynn, Bennett A. Landman, Won-Ki Jeong, Yiqing Shen, Zhongying Deng, Spyridon Bakas, Xiaoxiao Li, Chen Qin, Nicola Rieke, Holger Roth, Daguang Xu
2022	J	`jnl`	Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge. Medical Image Anal. 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
2022	A*	`conf`	Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation. CVPR An Xu, Wenqi Li, Pengfei Guo, Dong Yang, Holger Roth, Ali Hatamizadeh, Can Zhao, Daguang Xu, Heng Huang, Ziyue Xu
2022	J	`jnl`	Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation. CoRR An Xu, Wenqi Li, Pengfei Guo, Dong Yang, Holger Roth, Ali Hatamizadeh, Can Zhao, Daguang Xu, Heng Huang, Ziyue Xu
2022	—	`ed.`	Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health - Third MICCAI Workshop, DeCaF 2022, and Second MICCAI Workshop, FAIR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18 and 22, 2022, Proceedings DeCaF/FAIR@MICCAI Shadi Albarqouni, Spyridon Bakas, Sophia Bano, M. Jorge Cardoso, Bishesh Khanal, Bennett A. Landman, Xiaoxiao Li, Chen Qin, Islem Rekik, Nicola Rieke, Holger Roth, Debdoot Sheet, Daguang Xu
2022	A*	`conf`	GradViT: Gradient Inversion of Vision Transformers. CVPR Ali Hatamizadeh, Hongxu Yin, Holger Roth, Wenqi Li, Jan Kautz, Daguang Xu, Pavlo Molchanov
2022	J	`jnl`	GradViT: Gradient Inversion of Vision Transformers. CoRR Ali Hatamizadeh, Hongxu Yin, Holger Roth, Wenqi Li, Jan Kautz, Daguang Xu, Pavlo Molchanov
2022	J	`jnl`	Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images. CoRR Ali Hatamizadeh, Vishwesh Nath, Yucheng Tang, Dong Yang, Holger Roth, Daguang Xu
2022	J	`jnl`	UNetFormer: A Unified Vision Transformer Model and Pre-Training Framework for 3D Medical Image Segmentation. CoRR Ali Hatamizadeh, Ziyue Xu, Dong Yang, Wenqi Li, Holger Roth, Daguang Xu
2021	J	`jnl`	Accounting for Dependencies in Deep Learning Based Multiple Instance Learning for Whole Slide Imaging. CoRR Andriy Myronenko, Ziyue Xu, Dong Yang, Holger Roth, Daguang Xu
2021	J	`jnl`	Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation. CoRR 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
2021	—	`ed.`	Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning - 10th Workshop, CLIP 2021, Second Workshop, DCL 2021, First Workshop, LL-COVID19 2021, and First Workshop and Tutorial, PPML 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27 and October 1, 2021, Proceedings CLIP/DCL/LL-COVID19/PPML@MICCAI Cristina Oyarzun Laura, M. Jorge Cardoso, Michal Rosen-Zvi, Georgios Kaissis, Marius George Linguraru, Raj Shekhar, Stefan Wesarg, Marius Erdt, Klaus Drechsler, Yufei Chen, Shadi Albarqouni, Spyridon Bakas, Bennett A. Landman, Nicola Rieke, Holger Roth, Xiaoxiao Li, Daguang Xu, Maria Gabrani, Ender Konukoglu, Michal Guindy, Daniel Rueckert, Alexander Ziller, Dmitrii Usynin, Jonathan Passerat-Palmbach
2021	—	`conf`	Detection and Classification of Coronary Artery Plaques in Coronary Computed Tomography Angiography Using 3D CNN. STACOM@MICCAI Jun-Ting Chen, Yu-Cheng Huang, Holger Roth, Dong Yang, Chih-Kuo Lee, Wen-Jeng Lee, Tzung-Dau Wang, Cheng-Ying Chou, Weichung Wang
2021	A*	`conf`	DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation. CVPR Yufan He, Dong Yang, Holger Roth, Can Zhao, Daguang Xu
2021	J	`jnl`	DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation. CoRR Yufan He, Dong Yang, Holger Roth, Can Zhao, Daguang Xu
2021	J	`jnl`	Guest Editorial Annotation-Efficient Deep Learning: The Holy Grail of Medical Imaging. IEEE Trans. Medical Imaging Nima Tajbakhsh, Holger Roth, Demetri Terzopoulos, Jianming Liang
2021	J	`jnl`	Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis. CoRR Yucheng Tang, Dong Yang, Wenqi Li, Holger Roth, Bennett A. Landman, Daguang Xu, Vishwesh Nath, Ali Hatamizadeh
2021	J	`jnl`	The Power of Proxy Data and Proxy Networks for Hyper-Parameter Optimization in Medical Image Segmentation. CoRR Vishwesh Nath, Dong Yang, Ali Hatamizadeh, Anas A. Abidin, Andriy Myronenko, Holger Roth, Daguang Xu
2021	J	`jnl`	UNETR: Transformers for 3D Medical Image Segmentation. CoRR Ali Hatamizadeh, Dong Yang, Holger Roth, Daguang Xu
2020	A	`conf`	3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training. WACV Yingda Xia, Fengze Liu, Dong Yang, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan L. Yuille, Holger Roth
2020	A*	`conf`	C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation. CVPR Qihang Yu, Dong Yang, Holger Roth, Yutong Bai, Yixiao Zhang, Alan L. Yuille, Daguang Xu
2020	J	`jnl`	Cardiac Segmentation on Late Gadolinium Enhancement MRI: A Benchmark Study from Multi-Sequence Cardiac MR Segmentation Challenge. CoRR 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
2020	—	`conf`	Correlation via Synthesis: End-to-end Image Generation and Radiogenomic Learning Based on Generative Adversarial Network. MIDL Ziyue Xu, Xiaosong Wang, Hoo-Chang Shin, Dong Yang, Holger Roth, Fausto Milletari, Ling Zhang, Daguang Xu
2020	J	`jnl`	Democratizing Artificial Intelligence in Healthcare: A Study of Model Development Across Two Institutions Incorporating Transfer Learning. CoRR 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
2020	—	`ed.`	Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning - Second MICCAI Workshop, DART 2020, and First MICCAI Workshop, DCL 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings DART/DCL@MICCAI Shadi Albarqouni, Spyridon Bakas, Konstantinos Kamnitsas, M. Jorge Cardoso, Bennett A. Landman, Wenqi Li, Fausto Milletari, Nicola Rieke, Holger Roth, Daguang Xu, Ziyue Xu
2020	J	`jnl`	Enhancing Foreground Boundaries for Medical Image Segmentation. CoRR Dong Yang, Holger Roth, Xiaosong Wang, Ziyue Xu, Andriy Myronenko, Daguang Xu
2020	J	`jnl`	Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation. IEEE Trans. Medical Imaging Ling Zhang, Xiaosong Wang, Dong Yang, Thomas Sanford, Stephanie A. Harmon, Baris Turkbey, Bradford J. Wood, Holger Roth, Andriy Myronenko, Daguang Xu, Ziyue Xu
2020	—	`conf`	LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation. MICCAI (4) Wentao Zhu, Can Zhao, Wenqi Li, Holger Roth, Ziyue Xu, Daguang Xu
2020	J	`jnl`	LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation. CoRR Wentao Zhu, Can Zhao, Wenqi Li, Holger Roth, Ziyue Xu, Daguang Xu
2020	J	`jnl`	Learning Image Labels On-the-fly for Training Robust Classification Models. CoRR Xiaosong Wang, Ziyue Xu, Dong Yang, Leo K. Tam, Holger Roth, Daguang Xu
2020	A	`conf`	NeurReg: Neural Registration and Its Application to Image Segmentation. WACV Wentao Zhu, Andriy Myronenko, Ziyue Xu, Wenqi Li, Holger Roth, Yufang Huang, Fausto Milletari, Daguang Xu
2020	J	`jnl`	Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation. CoRR Dong Yang, Holger Roth, Ziyue Xu, Fausto Milletari, Ling Zhang, Daguang Xu
2020	J	`jnl`	The Future of Digital Health with Federated Learning. CoRR 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
2020	J	`jnl`	Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation. CoRR Yingda Xia, Dong Yang, Zhiding Yu, Fengze Liu, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan L. Yuille, Holger Roth
2020	J	`jnl`	Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation. Medical Image Anal. Yingda Xia, Dong Yang, Zhiding Yu, Fengze Liu, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan L. Yuille, Holger Roth
2019	—	`conf`	4D CNN for Semantic Segmentation of Cardiac Volumetric Sequences. STACOM@MICCAI Andriy Myronenko, Dong Yang, Varun Buch, Daguang Xu, Alvin Ihsani, Sean Doyle, Mark Michalski, Neil A. Tenenholtz, Holger Roth
2019	J	`jnl`	4D CNN for semantic segmentation of cardiac volumetric sequences. CoRR Andriy Myronenko, Dong Yang, Varun Buch, Daguang Xu, Alvin Ihsani, Sean Doyle, Mark Michalski, Neil A. Tenenholtz, Holger Roth
2019	J	`jnl`	C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation. CoRR Qihang Yu, Dong Yang, Holger Roth, Yutong Bai, Yixiao Zhang, Alan L. Yuille, Daguang Xu
2019	—	`conf`	Cardiac Segmentation of LGE MRI with Noisy Labels. STACOM@MICCAI Holger Roth, Wentao Zhu, Dong Yang, Ziyue Xu, Daguang Xu
2019	J	`jnl`	Cardiac Segmentation of LGE MRI with Noisy Labels. CoRR Holger Roth, Wentao Zhu, Dong Yang, Ziyue Xu, Daguang Xu
2019	J	`jnl`	Correlation via synthesis: end-to-end nodule image generation and radiogenomic map learning based on generative adversarial network. CoRR Ziyue Xu, Xiaosong Wang, Hoo-Chang Shin, Dong Yang, Holger Roth, Fausto Milletari, Ling Zhang, Daguang Xu
2019	—	`conf`	End-to-End Adversarial Shape Learning for Abdomen Organ Deep Segmentation. MLMI@MICCAI Jinzheng Cai, Yingda Xia, Dong Yang, Daguang Xu, Lin Yang, Holger Roth
2019	J	`jnl`	End-to-End Adversarial Shape Learning for Abdomen Organ Deep Segmentation. CoRR Jinzheng Cai, Yingda Xia, Dong Yang, Daguang Xu, Lin Yang, Holger Roth
2019	—	`conf`	Interactive 3D Segmentation Editing and Refinement via Gated Graph Neural Networks. GLMI@MICCAI Xiaosong Wang, Ling Zhang, Holger Roth, Daguang Xu, Ziyue Xu
2019	J	`jnl`	Interactive segmentation of medical images through fully convolutional neural networks. CoRR Tomas Sakinis, Fausto Milletari, Holger Roth, Panagiotis Korfiatis, Petro M. Kostandy, Kenneth Philbrick, Zeynettin Akkus, Ziyue Xu, Daguang Xu, Bradley J. Erickson
2019	J	`jnl`	NeurReg: Neural Registration and Its Application to Image Segmentation. CoRR Wentao Zhu, Andriy Myronenko, Ziyue Xu, Wenqi Li, Holger Roth, Yufang Huang, Fausto Milletari, Daguang Xu
2019	—	`conf`	Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation. MICCAI (2) Dong Yang, Holger Roth, Ziyue Xu, Fausto Milletari, Ling Zhang, Daguang Xu
2019	—	`conf`	Tunable CT Lung Nodule Synthesis Conditioned on Background Image and Semantic Features. SASHIMI@MICCAI Ziyue Xu, Xiaosong Wang, Hoo-Chang Shin, Holger Roth, Dong Yang, Fausto Milletari, Ling Zhang, Daguang Xu
2019	—	`conf`	Weakly Supervised Segmentation from Extreme Points. LABELS/HAL-MICCAI/CuRIOUS@MICCAI Holger Roth, Ling Zhang, Dong Yang, Fausto Milletari, Ziyue Xu, Xiaosong Wang, Daguang Xu
2019	J	`jnl`	Weakly supervised segmentation from extreme points. CoRR Holger Roth, Ling Zhang, Dong Yang, Fausto Milletari, Ziyue Xu, Xiaosong Wang, Daguang Xu
2019	—	`conf`	Weakly-supervised deep learning of interstitial lung disease types on CT images. Computer-Aided Diagnosis Chenglong Wang, Takayasu Moriya, Yuichiro Hayashi, Holger Roth, Le Lu, Masahiro Oda, Hirotugu Ohkubo, Kensaku Mori
2019	J	`jnl`	When Unseen Domain Generalization is Unnecessary? Rethinking Data Augmentation. CoRR Ling Zhang, Xiaosong Wang, Dong Yang, Thomas Sanford, Stephanie A. Harmon, Baris Turkbey, Holger Roth, Andriy Myronenko, Daguang Xu, Ziyue Xu
2018	J	`jnl`	3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training. CoRR Yingda Xia, Fengze Liu, Dong Yang, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan L. Yuille, Holger Roth
2018	J	`jnl`	An analysis of robust cost functions for CNN in computer-aided diagnosis. Comput. methods Biomech. Biomed. Eng. Imaging Vis. Adrian Barbu, Le Lu, Holger Roth, Ari Seff, Ronald M. Summers
2018	J	`jnl`	Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 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
2018	B	`conf`	Towards dense volumetric pancreas segmentation in CT using 3D fully convolutional networks. Image Processing Holger Roth, Masahiro Oda, Natsuki Shimizu, Hirohisa Oda, Yuichiro Hayashi, Takayuki Kitasaka, Michitaka Fujiwara, Kazunari Misawa, Kensaku Mori
2017	—	`conf`	Motion Vector for Outlier Elimination in Feature Matching and Its Application in SLAM Based Laparoscopic Tracking. CARE/CLIP@MICCAI Cheng Wang, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Holger Roth, Kensaku Mori
2017	J	`jnl`	Towards Automatic Abdominal Multi-Organ Segmentation in Dual Energy CT using Cascaded 3D Fully Convolutional Network. CoRR Shuqing Chen, Holger Roth, Sabrina Dorn, Matthias May, Alexander Cavallaro, Michael M. Lell, Marc Kachelrieß, Hirohisa Oda, Kensaku Mori, Andreas K. Maier
2017	J	`jnl`	Towards dense volumetric pancreas segmentation in CT using 3D fully convolutional networks. CoRR Holger Roth, Masahiro Oda, Natsuki Shimizu, Hirohisa Oda, Yuichiro Hayashi, Takayuki Kitasaka, Michitaka Fujiwara, Kazunari Misawa, Kensaku Mori
2016	—	`conf`	Automatic Lymph Node Cluster Segmentation Using Holistically-Nested Neural Networks and Structured Optimization in CT Images. MICCAI (2) Isabella Nogues, Le Lu, Xiaosong Wang, Holger Roth, Gedas Bertasius, Nathan Lay, Jianbo Shi, Yohannes Tsehay, Ronald M. Summers
2015	J	`jnl`	Deep convolutional networks for pancreas segmentation in CT imaging. CoRR Holger Roth, Amal Farag, Le Lu, Evrim B. Turkbey, Ronald M. Summers
2015	—	`conf`	Leveraging Mid-Level Semantic Boundary Cues for Automated Lymph Node Detection. MICCAI (2) Ari Seff, Le Lu, Adrian Barbu, Holger Roth, Hoo-Chang Shin, Ronald M. Summers
2014	J	`jnl`	2D View Aggregation for Lymph Node Detection Using a Shallow Hierarchy of Linear Classifiers. CoRR Ari Seff, Le Lu, Kevin M. Cherry, Holger Roth, Jiamin Liu, Shijun Wang, Joanne Hoffman, Evrim B. Turkbey, Ronald M. Summers
2013	J	`jnl`	Endoluminal surface registration for CT colonography using haustral fold matching. Medical Image Anal. Thomas Hampshire, Holger Roth, Emma Helbren, Andrew Plumb, Darren Boone, Greg G. Slabaugh, Steve Halligan, David J. Hawkes
2013	—	`conf`	Registration of Prone and Supine CT Colonography Datasets with Differing Endoluminal Distension. Abdominal Imaging Holger Roth, Jamie McClelland, Thomas Hampshire, Darren Boone, Yipeng Hu, Marc Modat, Hui Zhang, Sébastien Ourselin, Steve Halligan, David J. Hawkes
2013	—	`conf`	Registration of Temporally Separated CT Colonography Cases. Abdominal Imaging Holger Roth, Emma Helbren, Thomas Hampshire, Perry J. Pickhardt, Steve Halligan, David J. Hawkes
2013	—	`conf`	Spatial Correspondence between Prone and Supine CT Colonography Images: Creating a Reference Standard. Abdominal Imaging Thomas Hampshire, Emma Helbren, Andrew Plumb, Holger Roth, Steve Halligan, David J. Hawkes
2012	—	`conf`	Establishing spatial correspondence for the analysis of images from highly deforming anatomy. EMBC David J. Hawkes, Thomy Mertzanidou, John H. Hipwell, David Atkinson, Holger Roth, Tom Hampshire, Jamie McClelland
2012	—	`conf`	External Clinical Validation of Prone and Supine CT Colonography Registration. Abdominal Imaging Holger Roth, Darren Boone, Steve Halligan, Thomas Hampshire, Jamie McClelland, Mingxing Hu, Shonit Punwani, Stuart Taylor, David J. Hawkes
2012	—	`conf`	Prone to Supine CT Colonography Registration Using a Landmark and Intensity Composite Method. Abdominal Imaging Thomas Hampshire, Holger Roth, Darren Boone, Greg G. Slabaugh, Steve Halligan, David J. Hawkes
2011	—	`conf`	Automatic Prone to Supine Haustral Fold Matching in CT Colonography Using a Markov Random Field Model. MICCAI (1) Thomas Hampshire, Holger Roth, Mingxing Hu, Darren Boone, Greg G. Slabaugh, Shonit Punwani, Steve Halligan, David J. Hawkes
2011	—	`conf`	Inverse Consistency Error in the Registration of Prone and Supine Images in CT Colonography. Abdominal Imaging Holger Roth, Thomas Hampshire, Jamie McClelland, Mingxing Hu, Darren Boone, Greg G. Slabaugh, Steve Halligan, David J. Hawkes
2010	—	`conf`	Establishing Spatial Correspondence between the Inner Colon Surfaces from Prone and Supine CT Colonography. MICCAI (3) Holger Roth, Jamie McClelland, Marc Modat, Darren Boone, Mingxing Hu, Sébastien Ourselin, Greg G. Slabaugh, Steve Halligan, David J. Hawkes