| 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 | 445 | 2021 |
| Artificial intelligence in medicine: current trends and future possibilities VH Buch, I Ahmed, M Maruthappu British Journal of General Practice 68 (668), 143-144, 2018 | 394 | 2018 |
| 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 | 176 | 2020 |
| Technology and mental health: The role of artificial intelligence CA Lovejoy, V Buch, M Maruthappu European Psychiatry 55, 1-3, 2019 | 109 | 2019 |
| Artificial intelligence in the intensive care unit CA Lovejoy, V Buch, M Maruthappu Critical Care 23 (1), 7, 2019 | 69 | 2019 |
| 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 | 60 | 2021 |
| Artificial intelligence in diabetes care. V Buch, G Varughese, M Maruthappu Diabetic Medicine 35 (4), 2018 | 51 | 2018 |
| Federated Learning used for predicting outcomes in SARS-COV-2 patients M Flores, I Dayan, H Roth, A Zhong, A Harouni, A Gentili, A Abidin, A Liu, ... Research Square, 2021 | 47 | 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 | 39 | 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 | 36 | 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 | 32 | 2021 |
| DeepAAA: clinically applicable and generalizable detection of abdominal aortic aneurysm using deep learning JT Lu, R Brooks, S Hahn, J Chen, V Buch, G Kotecha, K Andriole, ... Medical Image Computing & Computer Assisted Intervention, 2019 | 32 | 2019 |
| 4D CNN for semantic segmentation of cardiac volumetric sequences A Myronenko, D Yang, V Buch, D Xu, A Ihsani, S Doyle, M Michalski, ... Statistical Atlases and Computational Models of the Heart. Multi-Sequence …, 2020 | 25 | 2020 |
| Quantification of the thoracic aorta and detection of aneurysm at CT: development and validation of a fully automatic methodology F Bezerra de Carvalho Macruz, C Lu, J Strout, A Takigami, R Brooks, ... Radiology: Artificial Intelligence 4 (2), e210076, 2022 | 15 | 2022 |
| 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, 2022 | 14 | 2022 |
| Multicenter assessment of CT pneumonia analysis prototype for predicting disease severity and patient outcome F Homayounieh, MA Bezerra Cavalcanti Rockenbach, S Ebrahimian, ... Journal of Digital Imaging 34, 320-329, 2021 | 12 | 2021 |
| Sphenoid mucocele: an uncommon complication of a rare condition K Jolly, S Krishnasamy, VH Buch, HN Buch, J Mathews Scottish Medical Journal 57 (4), 1-4, 2012 | 7 | 2012 |
| 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 |
| Point-of-care AI-assisted stepwise ultrasound pneumothorax diagnosis K Kim, F Macruz, D Wu, C Bridge, S McKinney, AA Al Saud, E Sharaf, ... Physics in Medicine & Biology 68 (20), 205013, 2023 | 4 | 2023 |
| An overview and case study of the clinical AI model development life cycle for healthcare systems C Lu, J Strout, R Gauriau, B Wright, FBDC Marcruz, V Buch, K Andriole arXiv preprint arXiv:2003.07678, 2020 | 4 | 2020 |
