| A case-based interpretable deep learning model for classification of mass lesions in digital mammography AJ Barnett, FR Schwartz, C Tao, C Chen, Y Ren, JY Lo, C Rudin Nature Machine Intelligence 3 (12), 1061-1070, 2021 | 130 | 2021 |
| Large-scale medical image annotation with crowd-powered algorithms E Heim, T Roß, A Seitel, K März, B Stieltjes, M Eisenmann, J Lebert, ... Journal of Medical Imaging 5 (3), 034002-034002, 2018 | 57 | 2018 |
| Similar changes of gene expression in human skeletal muscle after resistance exercise and multiple fine needle biopsies B Friedmann-Bette, FR Schwartz, H Eckhardt, R Billeter, G Bonaterra, ... Journal of applied physiology 112 (2), 289-295, 2012 | 49 | 2012 |
| CT radiomic features of superior mesenteric artery involvement in pancreatic ductal adenocarcinoma: a pilot study F Rigiroli, J Hoye, R Lerebours, KJ Lafata, C Li, M Meyer, P Lyu, Y Ding, ... Radiology 301 (3), 610-622, 2021 | 47 | 2021 |
| Fides Regina Schwartz, Chaofan Tao, Chaofan Chen, Yinhao Ren, Joseph Y Lo, and Cynthia Rudin. A case-based interpretable deep learning model for classification of mass lesions … AJ Barnett Nature Machine Intelligence 3 (12), 1061-1070, 2021 | 39 | 2021 |
| Pediatric applications of photon-counting detector CT J Cao, S Bache, FR Schwartz, D Frush American Journal of Roentgenology 220 (4), 580-589, 2023 | 38 | 2023 |
| LI-RADS: diagnostic performance of hepatobiliary phase hypointensity and major imaging features of LR-3 and LR-4 lesions measuring 10–19 mm with arterial phase hyperenhancement F Vernuccio, R Cannella, M Meyer, KR Choudhoury, F Gonzáles, ... American Journal of Roentgenology 213 (2), W57-W65, 2019 | 34 | 2019 |
| Utility of photon-counting detector CT myelography for the detection of CSF-venous fistulas AA Madhavan, L Yu, W Brinjikji, JK Cutsforth-Gregory, FR Schwartz, ... American Journal of Neuroradiology 44 (6), 740-744, 2023 | 29 | 2023 |
| Current Evidence in Cardiothoracic Imaging: Computed Tomography–derived Fractional Flow Reserve in Stable Chest Pain FR Schwartz, LM Koweek, BL Nørgaard Journal of Thoracic Imaging 34 (1), 12-17, 2019 | 29 | 2019 |
| Over-scanning in chest CT: comparison of practice among six hospitals and its impact on radiation dose F Schwartz, B Stieltjes, Z Szucs-Farkas, A Euler European journal of radiology 102, 49-54, 2018 | 28 | 2018 |
| Effect of deep learning image reconstruction in the prediction of resectability of pancreatic cancer: Diagnostic performance and reader confidence P Lyu, B Neely, J Solomon, F Rigiroli, Y Ding, FR Schwartz, B Thomsen, ... European journal of radiology 141, 109825, 2021 | 26 | 2021 |
| Is it possible to use low-dose deep learning reconstruction for the detection of liver metastases on CT routinely? P Lyu, N Liu, B Harrawood, J Solomon, H Wang, Y Chen, F Rigiroli, ... European Radiology 33 (3), 1629-1640, 2023 | 24 | 2023 |
| Lymphatic imaging: current noninvasive and invasive techniques FR Schwartz, O James, PH Kuo, MH Witte, LM Koweek, ... Seminars in interventional radiology 37 (03), 237-249, 2020 | 24 | 2020 |
| Photon-counting computed tomography scan of a cerebrospinal fluid venous fistula FR Schwartz, MD Malinzak, TJ Amrhein JAMA neurology 79 (6), 628-629, 2022 | 21 | 2022 |
| Exploiting the potential of photon-counting CT in abdominal imaging FR Schwartz, E Samei, D Marin Investigative Radiology 58 (7), 488-498, 2023 | 20 | 2023 |
| Liver fat quantification in photon counting CT in head to head comparison with clinical MRI–First experience FR Schwartz, J Ashton, B Wildman-Tobriner, L Molvin, ... European Journal of Radiology 161, 110734, 2023 | 19 | 2023 |
| Cardiovascular risk in the lung cancer screening population: a multicenter study evaluating the association between coronary artery calcification and preventive statin prescription TD Tailor, C Chiles, J Yeboah, MP Rivera, BC Tong, FR Schwartz, ... Journal of the American College of Radiology 18 (9), 1258-1266, 2021 | 18 | 2021 |
| Interpretable mammographic image classification using case-based reasoning and deep learning AJ Barnett, FR Schwartz, C Tao, C Chen, Y Ren, JY Lo, C Rudin arXiv preprint arXiv:2107.05605, 2021 | 17 | 2021 |
| AsymMirai: interpretable mammography-based deep learning model for 1–5-year breast cancer risk prediction J Donnelly, L Moffett, AJ Barnett, H Trivedi, F Schwartz, J Lo, C Rudin Radiology 310 (3), e232780, 2024 | 15 | 2024 |
| Prospective multireader evaluation of photon-counting CT for multiple myeloma screening FR Schwartz, EN Vinson, CE Spritzer, R Colglazier, E Samei, RJ French, ... Radiology: Imaging Cancer 4 (6), e220073, 2022 | 14 | 2022 |
