| 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 |
| Radiogenomic-based survival risk stratification of tumor habitat on Gd-T1w MRI is associated with biological processes in glioblastoma N Beig, K Bera, P Prasanna, J Antunes, R Correa, S Singh, ... Clinical Cancer Research 26 (8), 1866-1876, 2020 | 141 | 2020 |
| Radiogenomic analysis of hypoxia pathway is predictive of overall survival in Glioblastoma N Beig, J Patel, P Prasanna, V Hill, A Gupta, R Correa, K Bera, S Singh, ... Scientific reports 8 (1), 7, 2018 | 137 | 2018 |
| 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 |
| Shape features of the lesion habitat to differentiate brain tumor progression from pseudoprogression on routine multiparametric MRI: a multisite study M Ismail, V Hill, V Statsevych, R Huang, P Prasanna, R Correa, G Singh, ... American Journal of Neuroradiology 39 (12), 2187-2193, 2018 | 108 | 2018 |
| 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 |
| Tumor habitat–derived radiomic features at pretreatment MRI that are prognostic for progression-free survival in glioblastoma are associated with key morphologic attributes at … R Verma, R Correa, VB Hill, V Statsevych, K Bera, N Beig, A Mahammedi, ... Radiology: Artificial Intelligence 2 (6), e190168, 2020 | 67 | 2020 |
| Opportunistic assessment of ischemic heart disease risk using abdominopelvic computed tomography and medical record data: a multimodal explainable artificial intelligence approach JM Zambrano Chaves, AL Wentland, AD Desai, I Banerjee, G Kaur, ... Scientific reports 13 (1), 21034, 2023 | 57 | 2023 |
| Reproducibility analysis of multi‐institutional paired expert annotations and radiomic features of the Ivy Glioblastoma Atlas Project (Ivy GAP) dataset S Pati, R Verma, H Akbari, M Bilello, VB Hill, C Sako, R Correa, N Beig, ... Medical physics 47 (12), 6039-6052, 2020 | 46 | 2020 |
| A systematic review of ‘fair’AI model development for image classification and prediction R Correa, M Shaan, H Trivedi, B Patel, LAG Celi, JW Gichoya, I Banerjee Journal of Medical and Biological Engineering 42 (6), 816-827, 2022 | 34 | 2022 |
| Efficient adversarial debiasing with concept activation vector—medical image case-studies R Correa, K Pahwa, B Patel, CM Vachon, JW Gichoya, I Banerjee Journal of biomedical informatics 149, 104548, 2024 | 26 | 2024 |
| Stable and discriminatory radiomic features from the tumor and its habitat associated with progression-free survival in glioblastoma: a multi-institutional study R Verma, VB Hill, V Statsevych, K Bera, R Correa, P Leo, M Ahluwalia, ... American Journal of Neuroradiology 43 (8), 1115-1123, 2022 | 23 | 2022 |
| Kidney transplant in pediatric patients with severe bladder pathology MC Sierralta, G Gonzalez, C Nome, C Pinilla, R Correa, J Mansilla, ... Pediatric Transplantation 19 (7), 675-683, 2015 | 22 | 2015 |
| Raloxifene BS Quintanilla Rodriguez, R Correa Treasure Island, FL: StatPearls, 2020 | 20 | 2020 |
| 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 |
| Two-step adversarial debiasing with partial learning--medical image case-studies R Correa, JJ Jeong, B Patel, H Trivedi, JW Gichoya, I Banerjee arXiv preprint arXiv:2111.08711, 2021 | 13 | 2021 |
| Rosiglitazone BS Quintanilla Rodriguez, R Correa StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing, 2024 | 12 | 2024 |
| Ethical considerations of artificial intelligence applications in healthcare JW Gichoya, C Meltzer, J Newsome, R Correa, H Trivedi, I Banerjee, ... Artificial Intelligence in Cardiothoracic Imaging, 561-565, 2022 | 12 | 2022 |
| A robust two-step adversarial debiasing with partial learning: medical image case-studies R Correa, JJ Jeong, B Patel, H Trivedi, JW Gichoya, I Banerjee Medical Imaging 2023: Imaging Informatics for Healthcare, Research, and …, 2023 | 11 | 2023 |
| Novel MRI deformation-heterogeneity radiomic features are associated with molecular subgroups and overall survival in pediatric medulloblastoma: Preliminary findings from a … S Iyer, M Ismail, B Tamrazi, R Salloum, P de Blank, A Margol, R Correa, ... Frontiers in Oncology 12, 915143, 2022 | 10 | 2022 |
