| A review of explainable and interpretable AI with applications in COVID‐19 imaging JD Fuhrman, N Gorre, Q Hu, H Li, I El Naqa, ML Giger Medical Physics 49 (1), 1-14, 2022 | 115 | 2022 |
| Lessons learned in transitioning to AI in the medical imaging of COVID-19 I El Naqa, H Li, J Fuhrman, Q Hu, N Gorre, W Chen, ML Giger Journal of Medical Imaging 8 (S1), 010902-010902, 2021 | 34 | 2021 |
| Machine learning for early detection of hypoxic-ischemic brain injury after cardiac arrest A Mansour, JD Fuhrman, FE Ammar, A Loggini, J Davis, C Lazaridis, ... Neurocritical Care, 1-9, 2022 | 21 | 2022 |
| Comparing Mask R-CNN and U-Net architectures for robust automatic segmentation of immune cells in immunofluorescence images of Lupus Nephritis biopsies MS Durkee, R Abraham, J Ai, JD Fuhrman, MR Clark, ML Giger Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XIX …, 2021 | 14 | 2021 |
| Appflx: Providing privacy-preserving cross-silo federated learning as a service Z Li, S He, P Chaturvedi, TH Hoang, M Ryu, EA Huerta, V Kindratenko, ... 2023 IEEE 19th international conference on e-science (e-science), 1-4, 2023 | 12 | 2023 |
| Comparison of 2D and 3D U-Net breast lesion segmentations on DCE-MRI R Bhattacharjee, L Douglas, K Drukker, Q Hu, J Fuhrman, D Sheth, ... Medical Imaging 2021: Computer-Aided Diagnosis 11597, 81-87, 2021 | 11 | 2021 |
| MIDRC CRP10 AI interface—an integrated tool for exploring, testing and visualization of AI models N Gorre, E Carranza, J Fuhrman, H Li, RK Madduri, M Giger, I El Naqa Physics in Medicine & Biology 68 (7), 074002, 2023 | 10 | 2023 |
| Evaluation of emphysema on thoracic low-dose CTs through attention-based multiple instance deep learning J Fuhrman, R Yip, Y Zhu, AC Jirapatnakul, F Li, CI Henschke, ... Scientific Reports 13 (1), 1187, 2023 | 10 | 2023 |
| Enabling end-to-end secure federated learning in biomedical research on heterogeneous computing environments with appflx TH Hoang, J Fuhrman, M Klarqvist, M Li, P Chaturvedi, Z Li, K Kim, M Ryu, ... Computational and Structural Biotechnology Journal 28, 29-39, 2025 | 9 | 2025 |
| Cascaded deep transfer learning on thoracic CT in COVID-19 patients treated with steroids JD Fuhrman, J Chen, Z Dong, FYM Lure, Z Luo, ML Giger Journal of Medical Imaging 8 (S1), 014501-014501, 2021 | 9 | 2021 |
| Detection and classification of coronary artery calcifications in low dose thoracic CT using deep learning JD Fuhrman, J Crosby, R Yip, CI Henschke, DF Yankelevitz, ML Giger Medical Imaging 2019: Computer-Aided Diagnosis 10950, 820-825, 2019 | 6 | 2019 |
| Application and generalizability of U-Net segmentation of immune cells in inflamed tissue R Abraham, MS Durkee, M Veselits, J Ai, JD Fuhrman, MR Clark, ... Medical Imaging 2021: Digital Pathology 11603, 315-322, 2021 | 4 | 2021 |
| U-Net breast lesion segmentations for breast dynamic contrast-enhanced magnetic resonance imaging L Douglas, R Bhattacharjee, J Fuhrman, K Drukker, Q Hu, A Edwards, ... Journal of Medical Imaging 10 (6), 064502-064502, 2023 | 3 | 2023 |
| Predicting intensive care need for COVID-19 patients using deep learning on chest radiography H Li, K Drukker, Q Hu, HM Whitney, JD Fuhrman, ML Giger Journal of Medical Imaging 10 (4), 044504, 2023 | 3 | 2023 |
| Cascade of U-Nets in the detection and classification of coronary artery calcium in thoracic low-dose CT JD Fuhrman, R Yip, AC Jirapatnakul, CI Henschke, DF Yankelevitz, ... Medical Imaging 2020: Computer-Aided Diagnosis 11314, 51-56, 2020 | 2 | 2020 |
| Computerized assessment of background parenchymal enhancement on breast dynamic contrast-enhanced-MRI including electronic lesion removal L Douglas, J Fuhrman, Q Hu, A Edwards, D Sheth, H Abe, M Giger Journal of Medical Imaging 11 (3), 034501-034501, 2024 | 1 | 2024 |
| User experience evaluation for MIDRC AI interface N Gorre, J Fuhrman, E Carranza, H Li, RK Madduri, M Giger, I El Naqa Medical Imaging 2023: Imaging Informatics for Healthcare, Research, and …, 2023 | 1 | 2023 |
| Assessing an AI-based smart imagery framing and truthing (SIFT) system to assist radiologists annotating lung abnormalities on chest x-ray images for development of deep … L Guo, K Hong, Z Zhang, B Zheng, S Jaeger, J Fuhrman, H Li, M Giger, ... Medical Imaging 2023: Computer-Aided Diagnosis 12465, 147-155, 2023 | 1 | 2023 |
| Attention U-Net segmentation of indeterminate nodules on thyroid ultrasound J Genender, J Fuhrman, H Li, K Memeh, J Busch, J Williams, L Lan, ... MEDICAL PHYSICS 49 (6), E667-E667, 2022 | 1 | 2022 |
| Application of U-Nets for the automatic segmentation of immune cells in high-dimensional microscopy images of kidney biopsies R Abraham, MS Durkee, M Veselits, J Ai, JD Fuhrman, MR Clark, ... Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XIX …, 2021 | 1 | 2021 |
