Holger R. Roth

22.2k citations

105 papers · 9.8k · 7 hit papers · h-index 34

Impact in

Health Informatics top 0.2%
Radiology, Nuclear Medicine and Imaging top 0.1%
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI

Papers in

Radiology, Nuclear Medicine and Imaging 50
- COVID-19 diagnosis using AI 25
- Radiomics and Machine Learning in Medical Imaging 22
Computer Vision and Pattern Recognition 41
- Advanced Neural Network Applications 31
- Medical Image Segmentation Techniques 24

Co-authors: Ronald M. Summers (17 shared papers)Le Lü (15 shared papers)Ziyue Xu (17 shared papers)Jianhua Yao (4 shared papers)Hoo-Chang Shin (3 shared papers)Daniel J. Mollura (2 shared papers)Mingchen Gao (2 shared papers)Isabella Nogues (1 shared paper)
Journals: Medical Image Analysis (5 papers)IEEE Transactions on Medical Imaging (5 papers)Radiology (3 papers)International Journal of Computer Assisted Radiology and Surgery (3 papers)Medical Physics (2 papers)
Partner nations: United States Japan United Kingdom

In The Last Decade

Holger R. Roth

97 papers receiving 9.6k citations

Holger R. Roth's Hit Papers

7 papers align trajectories log scale

Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis 2022 · 372 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2022 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
2022 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
2021 Medical Image Analysis
2020 IEEE Transactions on Medical Imaging
2016 IEEE Transactions on Medical Imaging
2015 IEEE Transactions on Medical Imaging
2014 arXiv (Cornell University)

Peers

Countries citing papers authored by Holger R. Roth

Since Specialization

Citations

This map shows the geographic impact of Holger R. Roth's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Holger R. Roth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Holger R. Roth more than expected).

Fields of papers citing papers by Holger R. Roth

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Holger R. Roth. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Holger R. Roth. The network helps show where Holger R. Roth may publish in the future.

Co-authors

The 25 scholars most cited alongside Holger R. Roth, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Holger R. Roth Line = papers co-authored together Holger R. Roth links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning IEEE Transactions on Medical Imaging ·Hoo-Chang Shin, Holger R. Roth, Mingchen Gao, Le Lü, Ziyue Xu, Isabella Nogues, Jianhua Yao, Daniel J. Mollura, Ronald M. Summers Hit paper breakdown →	2016	3968
2	UNETR: Transformers for 3D Medical Image Segmentation 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) ·Ali Hatamizadeh, Yucheng Tang, Vishwesh Nath, Dong Yang, Andriy Myronenko, Bennett A. Landman, Holger R. Roth, Daguang Xu Hit paper breakdown →	2022	1421
3	Improving Computer-Aided Detection UsingConvolutional Neural Networks and Random View Aggregation IEEE Transactions on Medical Imaging ·Holger R. Roth, Le Lü, Jiamin Liu, Jianhua Yao, Ari Seff, Kevin M. Cherry, Lauren Kim, Ronald M. Summers Hit paper breakdown →	2015	417
4	Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ·Yucheng Tang, Dong Yang, Wenqi Li, Holger R. Roth, Bennett A. Landman, Daguang Xu, Vishwesh Nath, Ali Hatamizadeh Hit paper breakdown →	2022	372
5	Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation IEEE Transactions on Medical Imaging ·Ling Zhang, Xiaosong Wang, Dong Yang, Thomas Sanford, Stephanie A. Harmon, Barış Türkbey, Bradford J. Wood, Holger R. Roth, Andriy Myronenko, Daguang Xu, Ziyue Xu Hit paper breakdown →	2020	288
6	A New 2.5D Representation for Lymph Node Detection using Random Sets of Deep Convolutional Neural Network Observations arXiv (Cornell University) ·Holger R. Roth, Le Lü, Ari Seff, Kevin M. Cherry, Joanne Hoffman, Shijun Wang, Jiamin Liu, Evrim Türkbey, Ronald M. Summers Hit paper breakdown →	2014	285
7	An application of cascaded 3D fully convolutional networks for medical image segmentation Computerized Medical Imaging and Graphics ·Holger R. Roth, Hirohisa Oda, Xiangrong Zhou, Natsuki Shimizu, Ying Yang, Yuichiro Hayashi, Masahiro Oda, Michitaka Fujiwara, Kazunari Misawa, Kensaku Mori	2018	234
8	Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation Medical Image Analysis ·Holger R. Roth, Le Lü, Nathan Lay, Adam P. Harrison, Amal Farag, Andrew Sohn, Ronald M. Summers	2018	229
9	Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization ·Mingchen Gao, Ulaş Bağcı, Le Lü, Aaron Wu, Mario Buty, Hoo-Chang Shin, Holger R. Roth, Georgios Z. Papadakis, Adrien Depeursinge, Ronald M. Summers, Ziyue Xu, Daniel J. Mollura	2016	179
10	Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan Medical Image Analysis ·Dong Yang, Ziyue Xu, Wenqi Li, Andriy Myronenko, Holger R. Roth, Stephanie Harmon, Sheng Xu, Barış Türkbey, Evrim Türkbey, Xiaosong Wang, Wentao Zhu, Gianpaolo Carrafiello, Francesca Patella, Maurizio Cariati, Hirofumi Obinata, Hitoshi Mori, Kaku Tamura, Peng An, Bradford J. Wood, Daguang Xu Hit paper breakdown →	2021	176
11	Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation Medical Image Analysis ·Yingda Xia, Dong Yang, Zhiding Yu, Fengze Liu, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan Yuille, Holger R. Roth	2020	163
12	Deep learning to distinguish pancreatic cancer tissue from non-cancerous pancreatic tissue: a retrospective study with cross-racial external validation The Lancet Digital Health ·Kao‐Lang Liu, Tinghui Wu, Po‐Ting Chen, Yu‐Hsiang Tsai, Holger R. Roth, Ming‐Shiang Wu, Wei‐Chih Liao, Weichung Wang	2020	139
13	Federated learning improves site performance in multicenter deep learning without data sharing Journal of the American Medical Informatics Association ·Karthik V. Sarma, Stephanie A. Harmon, Thomas Sanford, Holger R. Roth, Ziyue Xu, Jesse Tetreault, Daguang Xu, Mona G. Flores, A. Raman, Rushikesh Kulkarni, Bradford J. Wood, Peter L. Choyke, Alan Priester, Leonard S. Marks, Steven S. Raman, Dieter R. Enzmann, Barış Türkbey, William Speier, Corey Arnold	2020	134
14	A Bottom-Up Approach for Pancreas Segmentation Using Cascaded Superpixels and (Deep) Image Patch Labeling IEEE Transactions on Image Processing ·Amal Farag, Le Lü, Holger R. Roth, Jiamin Liu, Evrim Türkbey, Ronald M. Summers	2016	133
15	Deep convolutional networks for pancreas segmentation in CT imaging Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE ·Holger R. Roth, Amal Farag, Le Lü, Evrim Türkbey, Ronald M. Summers	2015	128
16	Anatomy-specific classification of medical images using deep convolutional nets arXiv (Cornell University) ·Holger R. Roth, Christopher T. Lee, Hoo-Chang Shin, Ari Seff, Lauren Kim, Jianhua Yao, Le Lü, Ronald M. Summers	2015	115
17	3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training Yingda Xia, Fengze Liu, Dong Yang, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan Yuille, Holger R. Roth	2020	93
18	C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation Qihang Yu, Dong Yang, Holger R. Roth, Yutong Bai, Yixiao Zhang, Alan Yuille, Daguang Xu	2020	89
19	Pancreatic Cancer Detection on CT Scans with Deep Learning: A Nationwide Population-based Study Radiology ·Po‐Ting Chen, Tinghui Wu, Po‐Chuan Wang, Dawei Chang, Kao‐Lang Liu, Ming‐Shiang Wu, Holger R. Roth, Wen‐Jeng Lee, Wei‐Chih Liao, Weichung Wang	2022	82
20	Do Gradient Inversion Attacks Make Federated Learning Unsafe? IEEE Transactions on Medical Imaging ·Ali Hatamizadeh, Hongxu Yin, Pavlo Molchanov, Andriy Myronenko, Wenqi Li, Prerna Dogra, Andrew Feng, Mona G. Flores, Jan Kautz, Daguang Xu, Holger R. Roth	2023	64

About Holger R. Roth

Holger R. Roth is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence, Pulmonary and Respiratory Medicine and Biomedical Engineering, having authored 105 papers that have together received 9.8k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (31 papers), COVID-19 diagnosis using AI (25 papers), Medical Image Segmentation Techniques (24 papers), Radiomics and Machine Learning in Medical Imaging (22 papers), AI in cancer detection (15 papers), Medical Imaging and Analysis (11 papers), Prostate Cancer Diagnosis and Treatment (9 papers) and Advanced X-ray and CT Imaging (8 papers). The work is most often cited by research in Health Informatics (341 citations), Radiology, Nuclear Medicine and Imaging (4.5k citations), Computer Vision and Pattern Recognition (3.6k citations), Neurology (1.1k citations) and Artificial Intelligence (3.8k citations). Holger R. Roth has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Ronald M. Summers, Le Lü, Ziyue Xu, Jianhua Yao, Hoo-Chang Shin, Daniel J. Mollura, Mingchen Gao, Isabella Nogues, Daguang Xu and Dong Yang. Their work appears in journals such as Medical Image Analysis, IEEE Transactions on Medical Imaging, Radiology, International Journal of Computer Assisted Radiology and Surgery and Medical Physics.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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Holger R. Roth

Holger R. Roth's Hit Papers

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All Works

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