| 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 | 500 | 2021 |
| 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 | 193 | 2020 |
| Deep metric learning-based image retrieval system for chest radiograph and its clinical applications in COVID-19 A Zhong, X Li, D Wu, H Ren, K Kim, Y Kim, V Buch, N Neumark, B Bizzo, ... Medical Image Analysis 70, 101993, 2021 | 68 | 2021 |
| Artificial intelligence matches subjective severity assessment of pneumonia for prediction of patient outcome and need for mechanical ventilation: a cohort study S Ebrahimian, F Homayounieh, MABC Rockenbach, P Putha, T Raj, ... Scientific Reports 11 (1), 858, 2021 | 38 | 2021 |
| Severity and consolidation quantification of COVID-19 from CT images using deep learning based on hybrid weak labels D Wu, K Gong, CD Arru, F Homayounieh, B Bizzo, V Buch, H Ren, K Kim, ... IEEE Journal of Biomedical and Health Informatics 24 (12), 3529-3538, 2020 | 37 | 2020 |
| A multi-center study of COVID-19 patient prognosis using deep learning-based CT image analysis and electronic health records K Gong, D Wu, CD Arru, F Homayounieh, N Neumark, J Guan, V Buch, ... European journal of radiology 139, 109583, 2021 | 35 | 2021 |
| Multi-population generalizability of a deep learning-based chest radiograph severity score for COVID-19 MD Li, NT Arun, M Aggarwal, S Gupta, P Singh, BP Little, DP Mendoza, ... Medicine 101 (29), e29587, 2022 | 25* | 2022 |
| Digital Technology: Key considerations for the use of artificial intelligence in healthcare and clinical research CA Lovejoy, A Arora, V Buch, I Dayan Future Healthcare Journal 9 (1), 75-78, 2022 | 16 | 2022 |
| Development and validation of a deep learning model for prediction of severe outcomes in suspected covid-19 infection V Buch, A Zhong, X Li, MABC Rockenbach, D Wu, H Ren, J Guan, ... arXiv preprint arXiv:2103.11269, 2021 | 5 | 2021 |
| Automatic detection of decreased ejection fraction and left ventricular hypertrophy on 4D cardiac CTA: use of artificial intelligence with transfer learning to facilitate multi … MABC Rockenbach, V Buch, V Gupta, GK Kotecha, O Laur, BS Erdal, ... Intelligence-Based Medicine 6, 100051, 2022 | 4* | 2022 |
| Accelerating artificial intelligence: How federated learning can protect privacy, facilitate collaboration, and improve outcomes M Patel, I Dayan, EK Fishman, M Flores, FJ Gilbert, M Guindy, EJ Koay, ... Health informatics journal 29 (4), 14604582231207744, 2023 | 3 | 2023 |
| E-107 Multi-center study of a deep learning model for intracranial aneurysm detection in computed tomography angiography D Wu, S Ferraciolli, A Ashok, A Sorby-Adams, M Guindy, D Montes, ... Journal of NeuroInterventional Surgery 14 (Suppl 1), A134-A135, 2022 | 1 | 2022 |
| CAFES: chest x-ray analysis using federated self-supervised learning for pediatric Covid-19 detection A Parida, SM Anwar, MP Patel, M Blom, TT Einat, A Tonetti, Y Baror, ... Medical Imaging 2024: Computer-Aided Diagnosis 12927, 343-350, 2024 | | 2024 |
| Federated image quality assessment of prostate MRI scans in a multi-institutional setting M Hariri, P Chirra, M Patel, TT Einat, I Dayan, A Tonetti, Y Baror, T Barrett, ... Cancer Research 84 (6_Supplement), 2344-2344, 2024 | | 2024 |
| Systems and methods for using distributed computing in healthcare model development Y Baror, I Dayan, Y Blinder US Patent App. 18/180,713, 2023 | | 2023 |
| Systems and methods for using federated learning in healthcare model development Y Baror, I Dayan, Y Blinder US Patent App. 18/180,710, 2023 | | 2023 |
| The 2022 AUR academic radiology and industry leaders roundtable K Gaetke-Udager, M Mahoney, RA Omary, S Chan, PR Ros Academic radiology 30 (7), 1458-1461, 2023 | | 2023 |
Varun BuchMassachusetts General Hospital在 mgh.harvard.edu 的电子邮件经过验证
