| AI recognition of patient race in medical imaging: a modelling study JW Gichoya, I Banerjee, AR Bhimireddy, JL Burns, LA Celi, LC Chen, ... The Lancet Digital Health 4 (6), e406-e414, 2022 | 624 | 2022 |
| “Shortcuts” causing bias in radiology artificial intelligence: causes, evaluation, and mitigation I Banerjee, K Bhattacharjee, JL Burns, H Trivedi, S Purkayastha, ... Journal of the American College of Radiology 20 (9), 842-851, 2023 | 120 | 2023 |
| Reading Race: AI Recognises Patient's Racial Identity In Medical Images I Banerjee, AR Bhimireddy, JL Burns, LA Celi, LC Chen, R Correa, ... arXiv preprint arXiv:2107.10356, 2021 | 94 | 2021 |
| Performance of a chest radiograph ai diagnostic tool for covid-19: A prospective observational study J Sun, L Peng, T Li, D Adila, Z Zaiman, GB Melton-Meaux, NE Ingraham, ... Radiology: Artificial Intelligence 4 (4), e210217, 2022 | 48 | 2022 |
| Evaluation of federated learning variations for COVID-19 diagnosis using chest radiographs from 42 US and European hospitals L Peng, G Luo, A Walker, Z Zaiman, EK Jones, H Gupta, K Kersten, ... Journal of the American Medical Informatics Association 30 (1), 54-63, 2022 | 33 | 2022 |
| AI recognition of patient race in medical imaging: a modelling study. Lancet Digit Health 4, e406–e414 JW Gichoya, I Banerjee, AR Bhimireddy, JL Burns, LA Celi, LC Chen, ... | 15 | 2022 |
| A prospective observational study to investigate performance of a chest X-ray artificial intelligence diagnostic support tool across 12 US hospitals J Sun, L Peng, T Li, D Adila, Z Zaiman, GB Melton, N Ingraham, E Murray, ... ArXiv, arXiv: 2106.02118 v2, 2021 | 10 | 2021 |
| Just in time radiology decision support using real-time data feeds JL Burns, D Hasting, JW Gichoya, B McKibben III, L Shea, M Frank Journal of Digital Imaging 33 (1), 137-142, 2020 | 9 | 2020 |
| Ability of artificial intelligence to identify self-reported race in chest x-ray using pixel intensity counts JL Burns, Z Zaiman, J Vanschaik, G Luo, L Peng, B Price, G Mathias, ... Journal of Medical Imaging 10 (6), 061106-061106, 2023 | 7 | 2023 |
| Enhancing cancer prevention and survivorship care with a videoconferencing model for continuing education: a mixed-methods study to identify barriers and incentives to … ZZ Milgrom, TS Severance, CM Scanlon, AT Carson, AD Janota, JL Burns, ... JAMIA open 5 (1), ooac004, 2022 | 4 | 2022 |
| Using Machine Learning Approaches to Identify Exercise Activities from a Triple-Synchronous Biomedical Sensor Y Mahajan, J Pinnamraju, JL Burns, JW Gichoya, S Purkayastha International Conference on Intelligent Systems Design and Applications …, 2021 | 3 | 2021 |
| Theory of radiologist interaction with instant messaging decision support tools: a sequential-explanatory study JL Burns, JW Gichoya, MD Kohli, J Jones, S Purkayastha PLOS Digital Health 3 (2), e0000297, 2024 | 2 | 2024 |
| Few-Shot Transfer Learning to improve Chest X-Ray pathology detection using limited triplets AR Bhimireddy, JL Burns, S Purkayastha, JW Gichoya arXiv preprint arXiv:2204.07824, 2022 | 2 | 2022 |
| Few-Shot Transfer Learning to improve Chest X-Ray pathology detection using limited triplets A Reddy Bhimireddy, JL Burns, S Purkayastha, J Wawira Gichoya arXiv e-prints, arXiv: 2204.07824, 2022 | 1 | 2022 |
| Insights from the Development of a Workflow Orchestrator KL Smith, D Schonlau, DR Kercher, JL Burns, AS Uddin, RB Gunderman Academic Radiology, 2025 | | 2025 |
| Providing Radiology Services at Another Institution: Operational Considerations KL Smith, D Schonlau, JL Burns, RB Gunderman Academic Radiology 32 (5), 3128-3129, 2025 | | 2025 |
