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Author Details

Holger R Roth
NVIDIA Corporation
2010
52
20
PMIDPaper TitleJournal TitlePublished Year
36098642Pancreatic Cancer Detection on CT Scans with Deep Learning: A Nationwide Population-based Study.Radiology2023
37021996Do Gradient Inversion Attacks Make Federated Learning Unsafe?IEEE Trans Med Imaging2023
36650440Detection of pancreatic cancer with two- and three-dimensional radiomic analysis in a nationwide population-based real-world dataset.BMC Cancer2023
34598869A Cascaded Deep Learning-Based Artificial Intelligence Algorithm for Automated Lesion Detection and Classification on Biparametric Prostate Magnetic Resonance Imaging.Acad Radiol2022
35834896Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge.Med Image Anal2022
36523642Toward Foundational Deep Learning Models for Medical Imaging in the New Era of Transformer Networks.Radiol Artif Intell2022
36156419Rapid artificial intelligence solutions in a pandemic-The COVID-19-20 Lung CT Lesion Segmentation Challenge.Med Image Anal2022
34951681A cascaded fully convolutional network framework for dilated pancreatic duct segmentation.Int J Comput Assist Radiol Surg2022
35099572Deep learning-based artificial intelligence for prostate cancer detection at biparametric MRI.Abdom Radiol (NY)2022
33442676Federated Learning used for predicting outcomes in SARS-COV-2 patients.Res Sq2021
33601166Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan.Med Image Anal2021
33767213Generalized chest CT and lab curves throughout the course of COVID-19.Sci Rep2021
33537772Federated learning improves site performance in multicenter deep learning without data sharing.J Am Med Inform Assoc2021
34526699Federated learning for predicting clinical outcomes in patients with COVID-19.Nat Med2021
34453333Performance improvement of weakly supervised fully convolutional networks by skip connections for brain structure segmentation.Med Phys2021
34795461Guest Editorial Annotation-Efficient Deep Learning: The Holy Grail of Medical Imaging.IEEE Trans Med Imaging2021
34100010Rapid Artificial Intelligence Solutions in a Pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge.Res Sq2021
34241550Radiomic Features at CT Can Distinguish Pancreatic Cancer from Noncancerous Pancreas.Radiol Imaging Cancer2021
33373298Diminishing Uncertainty Within the Training Pool: Active Learning for Medical Image Segmentation.IEEE Trans Med Imaging2021
31537506Technical and Clinical Factors Affecting Success Rate of a Deep Learning Method for Pancreas Segmentation on CT.Acad Radiol2020
32070947Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation.IEEE Trans Med Imaging2020
33052737Data Augmentation and Transfer Learning to Improve Generalizability of an Automated Prostate Segmentation Model.AJR Am J Roentgenol2020
33328124Deep learning to distinguish pancreatic cancer tissue from non-cancerous pancreatic tissue: a retrospective study with cross-racial external validation.Lancet Digit Health2020
32796848Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets.Nat Commun2020
32623276Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation.Med Image Anal2020
33015372The future of digital health with federated learning.NPJ Digit Med2020
32206685Cardiac fiber tracking on super high-resolution CT images: a comparative study.J Med Imaging (Bellingham)2020
31205977Fully automated prostate whole gland and central gland segmentation on MRI using holistically nested networks with short connections.J Med Imaging (Bellingham)2019
31688587Precision Medicine in Pancreatic Disease-Knowledge Gaps and Research Opportunities: Summary of a National Institute of Diabetes and Digestive and Kidney Diseases Workshop.Pancreas2019
32038864Stable polyp-scene classification via subsampling and residual learning from an imbalanced large dataset.Healthc Technol Lett2019
30116959Radiomics nomogram for predicting the malignant potential of gastrointestinal stromal tumours preoperatively.Eur Radiol2019
31525543Precise estimation of renal vascular dominant regions using spatially aware fully convolutional networks, tensor-cut and Voronoi diagrams.Comput Med Imaging Graph2019
31493112Abdominal artery segmentation method from CT volumes using fully convolutional neural network.Int J Comput Assist Radiol Surg2019
29427897Spatial aggregation of holistically-nested convolutional neural networks for automated pancreas localization and segmentation.Med Image Anal2018
29573583An application of cascaded 3D fully convolutional networks for medical image segmentation.Comput Med Imaging Graph2018
29653147Artificial Intelligence-Assisted Polyp Detection for Colonoscopy: Initial Experience.Gastroenterology2018
29623248Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks.Comput Methods Biomech Biomed Eng Imaging Vis2018
27831881A Bottom-Up Approach for Pancreas Segmentation Using Cascaded Superpixels and (Deep) Image Patch Labeling.IEEE Trans Image Process2017
29226176Holistic segmentation of the lung in cine MRI.J Med Imaging (Bellingham)2017
28840173Automatic magnetic resonance prostate segmentation by deep learning with holistically nested networks.J Med Imaging (Bellingham)2017
26886976Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning.IEEE Trans Med Imaging2016
26441412Improving Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation.IEEE Trans Med Imaging2016
24991991CT colonography: clinical evaluation of a method for automatic coregistration of polyps at follow-up surveillance studies.Radiology2014
253331612D view aggregation for lymph node detection using a shallow hierarchy of linear classifiers.Med Image Comput Comput Assist Interv2014
25333158A new 2.5D representation for lymph node detection using random sets of deep convolutional neural network observations.Med Image Comput Comput Assist Interv2014
23687175CT colonography: external clinical validation of an algorithm for computer-assisted prone and supine registration.Radiology2013
23845949Endoluminal surface registration for CT colonography using haustral fold matching.Med Image Anal2013
23366739Establishing spatial correspondence for the analysis of images from highly deforming anatomy.Annu Int Conf IEEE Eng Med Biol Soc2012
28519970WE-E-213CD-03: Inverse-Consistent Symmetric Registration of Inner Colon Surfaces Derived from Prone and Supine CT Colonography.Med Phys2012
21815381Registration of the endoluminal surfaces of the colon derived from prone and supine CT colonography.Med Phys2011
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Collaborators

Baris Turkbey
National Cancer Institute, National Institutes of Health
Co-authored papers 14
Daguang Xu
NVIDIA Corporation
Co-authored papers 14
Ronald M Summers
National Institutes of Health (NIH) Clinical Center
Co-authored papers 13
Bradford J Wood
National Cancer Institute, National Institutes of Health
Co-authored papers 12
Stephanie A Harmon
National Cancer Institute, National Institutes of Health
Co-authored papers 10
Peter L Choyke
National Cancer Institute, National Institutes of Health
Co-authored papers 7
Nicola Rieke
Technical University of Munich (TUM)
Co-authored papers 5
Hirofumi Obinata
Self-Defense Forces Central Hospital
Co-authored papers 4
Marius George Linguraru
George Washington University School of Medicine and Health Sciences
Co-authored papers 4
Gianpaolo Carrafiello
Foundation IRCCS Ca' Granda - Ospedale Maggiore Policlinico, University of Milan
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Hitoshi Mori
Kurashiki Central Hospital
Co-authored papers 3
Tony Mazzulli
Mount Sinai Health System and University Health Network
Co-authored papers 2
Joshua D Kaggie
University of Cambridge
Co-authored papers 2
Dufan Wu
Massachusetts General Hospital
Co-authored papers 2
Shelley McLeod
Mount Sinai Hospital
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Wentao Zhu
Research Center for Healthcare Data Science
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Benjamin S Glicksberg
Hasso Plattner Institute for Digital Health, Icahn School of Medicine at Mount Sinai
Co-authored papers 2
Aoxiao Zhong
Massachusetts General Hospital, Harvard University
Co-authored papers 2
Jung Gil Park
Yeungnam University Hospital
Co-authored papers 2
Quanzheng Li
Massachusetts General Hospital
Co-authored papers 2
Meena AbdelMaseeh
Lunenfeld-Tanenbaum Research Institute
Co-authored papers 2
Sharmila Majumdar
University of California san francisco
Co-authored papers 2
Bennett A Landman
Vanderbilt University
Co-authored papers 2
Shuichi Kawano
Self-Defense Forces Central Hospital
Co-authored papers 2
Vitali Liauchuk
United Institute of Informatics Problems
Co-authored papers 2
Jae Ho Sohn
University of California san francisco
Co-authored papers 2
Amilcare Gentili
University of California
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Yu Rim Lee
Kyungpook National University
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