| A Deep Learning Model to Predict a Diagnosis of Alzheimer Disease by Using 18F-FDG PET of the Brain Y Ding, JH Sohn, MG Kawczynski, H Trivedi, R Harnish, NW Jenkins, ... Radiology 290 (2), 456-464, 2019 | 751 | 2019 |
| 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 |
| Multiparametric 3T prostate magnetic resonance imaging to detect cancer: histopathological correlation using prostatectomy specimens processed in customized magnetic resonance … B Turkbey, H Mani, V Shah, AR Rastinehad, M Bernardo, T Pohida, ... The Journal of urology 186 (5), 1818-1824, 2011 | 590 | 2011 |
| Evaluation of combined artificial intelligence and radiologist assessment to interpret screening mammograms T Schaffter, DSM Buist, CI Lee, Y Nikulin, D Ribli, Y Guan, W Lotter, Z Jie, ... JAMA network open 3 (3), e200265-e200265, 2020 | 478 | 2020 |
| Ethics of large language models in medicine and medical research H Li, JT Moon, S Purkayastha, LA Celi, H Trivedi, JW Gichoya The Lancet Digital Health 5 (6), e333-e335, 2023 | 333 | 2023 |
| AI pitfalls and what not to do: mitigating bias in AI JW Gichoya, K Thomas, LA Celi, N Safdar, I Banerjee, JD Banja, ... The British Journal of Radiology 96 (1150), 20230023, 2023 | 280 | 2023 |
| Multi-institutional validation of a mammography-based breast cancer risk model A Yala, PG Mikhael, F Strand, G Lin, S Satuluru, T Kim, I Banerjee, ... Journal of Clinical Oncology 40 (16), 1732-1740, 2022 | 205 | 2022 |
| Systematic review of generative adversarial networks (GANs) for medical image classification and segmentation JJ Jeong, A Tariq, T Adejumo, H Trivedi, JW Gichoya, I Banerjee Journal of Digital Imaging 35 (2), 137-152, 2022 | 190 | 2022 |
| Automatic determination of the need for intravenous contrast in musculoskeletal MRI examinations using IBM Watson’s natural language processing algorithm H Trivedi, J Mesterhazy, B Laguna, T Vu, JH Sohn Journal of digital imaging 31 (2), 245-251, 2018 | 117 | 2018 |
| Optimizing risk-based breast cancer screening policies with reinforcement learning A Yala, PG Mikhael, C Lehman, G Lin, F Strand, YL Wan, K Hughes, ... Nature medicine 28 (1), 136-143, 2022 | 113 | 2022 |
| The EMory BrEast imaging Dataset (EMBED): A racially diverse, granular dataset of 3.4 million screening and diagnostic mammographic images JJ Jeong, BL Vey, A Bhimireddy, T Kim, T Santos, R Correa, R Dutt, ... Radiology: Artificial Intelligence 5 (1), e220047, 2023 | 112 | 2023 |
| Decoding radiology reports: potential application of OpenAI ChatGPT to enhance patient understanding of diagnostic reports H Li, JT Moon, D Iyer, P Balthazar, EA Krupinski, ZL Bercu, JM Newsome, ... Clinical imaging 101, 137-141, 2023 | 109 | 2023 |
| The state of radiology AI: considerations for purchase decisions and current market offerings Y Tadavarthi, B Vey, E Krupinski, A Prater, J Gichoya, N Safdar, H Trivedi Radiology: Artificial Intelligence 2 (6), e200004, 2020 | 90 | 2020 |
| Use of patient-specific MRI-based prostate mold for validation of multiparametric MRI in localization of prostate cancer H Trivedi, B Turkbey, AR Rastinehad, CJ Benjamin, M Bernardo, T Pohida, ... Urology 79 (1), 233-239, 2012 | 82 | 2012 |
| Current clinical applications of artificial intelligence in radiology and their best supporting evidence A Tariq, S Purkayastha, GP Padmanaban, E Krupinski, H Trivedi, ... Journal of the American College of Radiology 17 (11), 1371-1381, 2020 | 77 | 2020 |
| Age-related changes in prostate zonal volumes as measured by high-resolution magnetic resonance imaging (MRI): a cross-sectional study in over 500 patients. B Turkbey, R Huang, S Vourganti, H Trivedi, M Bernardo, P Yan, ... BJU international 110 (11), 2012 | 66 | 2012 |
| Overview of noninterpretive artificial intelligence models for safety, quality, workflow, and education applications in radiology practice Y Tadavarthi, V Makeeva, W Wagstaff, H Zhan, A Podlasek, N Bhatia, ... Radiology: Artificial Intelligence 4 (2), e210114, 2022 | 51 | 2022 |
| 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 | 49 | 2024 |
| Postural responses to unexpected perturbations of balance during reaching H Trivedi, JA Leonard, LH Ting, PJ Stapley Experimental brain research 202 (2), 485-491, 2010 | 44 | 2010 |
| SCU‐Net: A deep learning method for segmentation and quantification of breast arterial calcifications on mammograms X Guo, WC O'Neill, B Vey, TC Yang, TJ Kim, M Ghassemi, I Pan, ... Medical physics 48 (10), 5851-5861, 2021 | 39 | 2021 |
Judy Wawira GichoyaEmory UniversityVerified email at emory.edu
