Articles with public access mandates - Daguang XuLearn more
Not available anywhere: 2
Integrating 3D geometry of organ for improving medical image segmentation
J Yao, J Cai, D Yang, D Xu, J Huang
Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019
Mandates: US National Science Foundation
PD56-08 A DEEP LEARNING–BASED ALGORITHM FOR AUTOMATED DETECTION AND CLASSIFICATION OF PROSTATE LESIONS ON BIPARAMETRIC MAGNETIC RESONANCE IMAGING
S Mehralivand, D Yang, D Xu, Z Xu, H Roth, S Harmon, S Masoudi, ...
Journal of Urology 206 (Supplement 3), e1006-e1007, 2021
Mandates: US National Institutes of Health
Available somewhere: 36
The future of digital health with federated learning
N Rieke, J Hancox, W Li, F Milletari, HR Roth, S Albarqouni, S Bakas, ...
NPJ digital medicine 3 (1), 1-7, 2020
Mandates: US National Institutes of Health, Helmholtz Association, UK Engineering and …
The liver tumor segmentation benchmark (lits)
P Bilic, P Christ, HB Li, E Vorontsov, A Ben-Cohen, G Kaissis, A Szeskin, ...
Medical Image Analysis 84, 102680, 2023
Mandates: US National Institutes of Health, Fonds de recherche du Québec - Santé …
The medical segmentation decathlon
M Antonelli, A Reinke, S Bakas, K Farahani, A Kopp-Schneider, ...
Nature communications 13 (1), 4128, 2022
Mandates: US National Institutes of Health, Helmholtz Association, Danish Council for …
Privacy-preserving federated brain tumour segmentation
W Li, F Milletarì, D Xu, N Rieke, J Hancox, W Zhu, M Baust, Y Cheng, ...
Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019 …, 2019
Mandates: UK Engineering and Physical Sciences Research Council, National Institute …
Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets
SA Harmon, TH Sanford, S Xu, EB Turkbey, H Roth, Z Xu, D Yang, ...
Nature communications 11 (1), 4080, 2020
Mandates: US National Institutes of Health
Federated learning for predicting clinical outcomes in patients with COVID-19
I Dayan, HR Roth, A Zhong, A Harouni, A Gentili, AZ Abidin, A Liu, ...
Nature medicine 27 (10), 1735-1743, 2021
Mandates: US National Institutes of Health, Cancer Research UK, UK Engineering and …
Generalizing deep learning for medical image segmentation to unseen domains via deep stacked transformation
L Zhang, X Wang, D Yang, T Sanford, S Harmon, B Turkbey, BJ Wood, ...
IEEE transactions on medical imaging 39 (7), 2531-2540, 2020
Mandates: US National Institutes of Health
VerSe: a vertebrae labelling and segmentation benchmark for multi-detector CT images
A Sekuboyina, ME Husseini, A Bayat, M Löffler, H Liebl, H Li, G Tetteh, ...
Medical image analysis 73, 102166, 2021
Mandates: US National Institutes of Health, European Commission, Federal Ministry of …
Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan
D Yang, Z Xu, W Li, A Myronenko, HR Roth, S Harmon, S Xu, B Turkbey, ...
Medical image analysis 70, 101992, 2021
Mandates: US National Institutes of Health
Federated learning for breast density classification: A real-world implementation
HR Roth, K Chang, P Singh, N Neumark, W Li, V Gupta, S Gupta, L Qu, ...
Domain Adaptation and Representation Transfer, and Distributed and …, 2020
Mandates: US National Science Foundation, US National Institutes of Health
Federated learning improves site performance in multicenter deep learning without data sharing
KV Sarma, S Harmon, T Sanford, HR Roth, Z Xu, J Tetreault, D Xu, ...
Journal of the American Medical Informatics Association 28 (6), 1259-1264, 2021
Mandates: US National Institutes of Health
Federated benchmarking of medical artificial intelligence with MedPerf
A Karargyris, R Umeton, MJ Sheller, A Aristizabal, J George, A Wuest, ...
Nature machine intelligence 5 (7), 799-810, 2023
Mandates: US Department of Energy, US National Institutes of Health, Helmholtz …
Monai label: A framework for ai-assisted interactive labeling of 3d medical images
A Diaz-Pinto, S Alle, V Nath, Y Tang, A Ihsani, M Asad, F Pérez-García, ...
Medical Image Analysis 95, 103207, 2024
Mandates: UK Engineering and Physical Sciences Research Council, Wellcome Trust …
Rapid artificial intelligence solutions in a pandemic—The COVID-19-20 Lung CT Lesion Segmentation Challenge
HR Roth, Z Xu, C Tor-Díez, RS Jacob, J Zember, J Molto, W Li, S Xu, ...
Medical image analysis 82, 102605, 2022
Mandates: Luxembourg National Research Fund
Multi-domain image completion for random missing input data
L Shen, W Zhu, X Wang, L Xing, JM Pauly, B Turkbey, SA Harmon, ...
IEEE transactions on medical imaging 40 (4), 1113-1122, 2020
Mandates: US National Institutes of Health
Closing the generalization gap of cross-silo federated medical image segmentation
A Xu, W Li, P Guo, D Yang, HR Roth, A Hatamizadeh, C Zhao, D Xu, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
Mandates: US National Science Foundation
Deep hierarchical multi-label classification of chest X-ray images
H Chen, S Miao, D Xu, GD Hager, AP Harrison
International conference on medical imaging with deep learning, 109-120, 2019
Mandates: US National Institutes of Health
Determination of disease severity in COVID-19 patients using deep learning in chest X-ray images
M Blain, MT Kassin, N Varble, X Wang, Z Xu, D Xu, G Carrafiello, ...
Diagnostic and interventional radiology 27 (1), 20, 2020
Mandates: US National Institutes of Health
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