| 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 | 622 | 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 | 226 | 2020 |
| Deepspine: Automated lumbar vertebral segmentation, disc-level designation, and spinal stenosis grading using deep learning JT Lu, S Pedemonte, B Bizzo, S Doyle, KP Andriole, MH Michalski, ... Proceedings of Machine Learning Research 85:403-419, 2018, 2018 | 147 | 2018 |
| Implementation of clinical artificial intelligence in radiology: who decides and how? D Daye, WF Wiggins, MP Lungren, T Alkasab, N Kottler, B Allen, CJ Roth, ... Radiology 305 (3), 555-563, 2022 | 89 | 2022 |
| FDA-regulated AI algorithms: trends, strengths, and gaps of validation studies S Ebrahimian, MK Kalra, S Agarwal, BC Bizzo, M Elkholy, C Wald, B Allen, ... Academic radiology 29 (4), 559-566, 2022 | 89 | 2022 |
| Advances in pancreatic CT imaging RR Almeida, GC Lo, M Patino, B Bizzo, R Canellas, DV Sahani American Journal of Roentgenology 211 (1), 52-66, 2018 | 84 | 2018 |
| 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 | 77 | 2021 |
| Artificial intelligence and clinical decision support for radiologists and referring providers BC Bizzo, RR Almeida, MH Michalski, TK Alkasab Journal of the American College of Radiology 16 (9), 1351-1356, 2019 | 77 | 2019 |
| Association of artificial intelligence–aided chest radiograph interpretation with reader performance and efficiency JS Ahn, S Ebrahimian, S McDermott, S Lee, L Naccarato, JF Di Capua, ... JAMA Network Open 5 (8), e2229289-e2229289, 2022 | 72 | 2022 |
| CT radiomics, radiologists, and clinical information in predicting outcome of patients with COVID-19 pneumonia F Homayounieh, S Ebrahimian, R Babaei, HK Mobin, E Zhang, BC Bizzo, ... Radiology: Cardiothoracic Imaging 2 (4), e200322, 2020 | 68 | 2020 |
| 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, rs. 3. rs-126892, 2021 | 54 | 2021 |
| Creation of an open framework for point-of-care computer-assisted reporting and decision support tools for radiologists TK Alkasab, BC Bizzo, LL Berland, S Nair, PV Pandharipande, HB Harvey Journal of the American College of Radiology 14 (9), 1184-1189, 2017 | 43 | 2017 |
| Using DICOM metadata for radiological image series categorization: a feasibility study on large clinical brain MRI datasets R Gauriau, C Bridge, L Chen, F Kitamura, NA Tenenholtz, JE Kirsch, ... Journal of digital imaging 33, 747-762, 2020 | 42 | 2020 |
| 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 | 41 | 2020 |
| Domain adaptation and representation transfer, and distributed and collaborative learning HR Roth, K Chang, P Singh, N Neumark, W Li, V Gupta, S Gupta, L Qu, ... Lecture Notes in Computer Science, 2020 | 41 | 2020 |
| 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 | 40 | 2021 |
| 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 | 39 | 2021 |
| Evaluation of an artificial intelligence model for detection of pneumothorax and tension pneumothorax in chest radiographs JM Hillis, BC Bizzo, S Mercaldo, JK Chin, I Newbury-Chaet, ... JAMA Network Open 5 (12), e2247172-e2247172, 2022 | 37 | 2022 |
| Addressing the challenges of implementing artificial intelligence tools in clinical practice: principles from experience BC Bizzo, G Dasegowda, C Bridge, B Miller, JM Hillis, MK Kalra, ... Journal of the American College of Radiology 20 (3), 352-360, 2023 | 25 | 2023 |
| Machine learning for adrenal gland segmentation and classification of normal and adrenal masses at CT C Robinson-Weiss, J Patel, BC Bizzo, DI Glazer, CP Bridge, KP Andriole, ... Radiology 306 (2), e220101, 2022 | 25 | 2022 |
