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Author Details

Daguang Xu
NVIDIA Corporation
2012
26
15
PMIDPaper TitleJournal TitlePublished Year
37267773Fetal brain tissue annotation and segmentation challenge results.Med Image Anal2023
37021996Do Gradient Inversion Attacks Make Federated Learning Unsafe?IEEE Trans Med Imaging2023
34598869A Cascaded Deep Learning-Based Artificial Intelligence Algorithm for Automated Lesion Detection and Classification on Biparametric Prostate Magnetic Resonance Imaging.Acad Radiol2022
35840566The Medical Segmentation Decathlon.Nat Commun2022
36156419Rapid artificial intelligence solutions in a pandemic-The COVID-19-20 Lung CT Lesion Segmentation Challenge.Med Image Anal2022
35099572Deep learning-based artificial intelligence for prostate cancer detection at biparametric MRI.Abdom Radiol (NY)2022
32815519Determination of disease severity in COVID-19 patients using deep learning in chest X-ray images.Diagn Interv Radiol2021
33601166Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan.Med Image Anal2021
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
34100010Rapid Artificial Intelligence Solutions in a Pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge.Res Sq2021
33373298Diminishing Uncertainty Within the Training Pool: Active Learning for Medical Image Segmentation.IEEE Trans Med Imaging2021
33442676Federated Learning used for predicting outcomes in SARS-COV-2 patients.Res Sq2021
33351753Multi-Domain Image Completion for Random Missing Input Data.IEEE Trans Med Imaging2021
32623276Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation.Med Image Anal2020
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
32937229Deep hiearchical multi-label classification applied to chest X-ray abnormality taxonomies.Med Image Anal2020
32796848Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets.Nat Commun2020
31129477Combo loss: Handling input and output imbalance in multi-organ segmentation.Comput Med Imaging Graph2019
24365826Real-time compressive sensing spectral domain optical coherence tomography.Opt Lett2014
25426320Volumetric (3D) compressive sensing spectral domain optical coherence tomography.Biomed Opt Express2014
25401447Real-time dispersion-compensated image reconstruction for compressive sensing spectral domain optical coherence tomography.J Opt Soc Am A Opt Image Sci Vis2014
24977582GPU-accelerated non-uniform fast Fourier transform-based compressive sensing spectral domain optical coherence tomography.Opt Express2014
24049674Compressive sensing with dispersion compensation on non-linear wavenumber sampled spectral domain optical coherence tomography.Biomed Opt Express2013
23073413Modified compressive sensing optical coherence tomography with noise reduction.Opt Lett2012
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Collaborators

Holger R Roth
NVIDIA Corporation
Co-authored papers 14
Bradford J Wood
National Cancer Institute, National Institutes of Health
Co-authored papers 13
Baris Turkbey
National Cancer Institute, National Institutes of Health
Co-authored papers 13
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 6
Nicola Rieke
Technical University of Munich (TUM)
Co-authored papers 4
Marius George Linguraru
George Washington University School of Medicine and Health Sciences
Co-authored papers 4
Hirofumi Obinata
Self-Defense Forces Central Hospital
Co-authored papers 4
Gianpaolo Carrafiello
Foundation IRCCS Ca' Granda - Ospedale Maggiore Policlinico, University of Milan
Co-authored papers 3
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
Co-authored papers 2
Wentao Zhu
Research Center for Healthcare Data Science
Co-authored papers 2
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
Co-authored papers 2
Yu Rim Lee
Kyungpook National University
Co-authored papers 2
Chiu-Ling Lai
Medical Review and Pharmaceutical Benefits Division
Co-authored papers 2
Bjoern H Menze
Technische Universitat Munchen, University of Zurich
Co-authored papers 2
Xihong Lin
Harvard T.H. Chan School of Public Health
Co-authored papers 2
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