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 | 269 | 2022 |
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 | 118 | 2018 |
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 | 85 | 2020 |
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 | 76 | 2021 |
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 | 75 | 2018 |
Reproducibility analysis of multiinstitutional 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 | 30 | 2020 |
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 | 27 | 2020 |
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 | 25 | 2023 |
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 | 24 | 2023 |
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 | 18 | 2015 |
Radiogenomic analysis of hypoxia pathway is predictive of overall survival in Glioblastoma. Sci Rep 8: 7 N Beig, J Patel, P Prasanna, V Hill, A Gupta, R Correa, K Bera, S Singh, ... | 8 | 2018 |
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, ... | 7 | 2022 |
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 | 6 | 2022 |
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 | 6 | 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 | 6 | 2021 |
The EMory BrEast imaging Dataset (EMBED): a racially diverse, granular dataset of 3.5 M screening and diagnostic mammograms JJ Jeong, BL Vey, A Reddy, T Kim, T Santos, R Correa, R Dutt, ... arXiv preprint arXiv:2202.04073, 2022 | 5 | 2022 |
Longterm outcome of early steroid withdrawal in pediatric renal transplantation M Gajardo, A Delucchi, D Pérez, JM Cancino, C Gálvez, X Ledezma, ... Pediatric Transplantation 25 (8), e14096, 2021 | 5 | 2021 |
Processing properties of beef semimembranosus muscle as affected by electrical stimulation and postmortem treatment RN Terrell, R Correa, RLEU And, GC Smith Journal of Food Science 47 (4), 1382-1383, 1982 | 4 | 1982 |
" Lesion-habitat" radiomics to distinguish radiation necrosis from tumor recurrence on post-treatment MRI in metastatic brain tumors R Correa, Q Lei, J Chen, J Zeng, J Yu, P Tiwari Medical Imaging 2020: Computer-Aided Diagnosis 11314, 704-709, 2020 | 3 | 2020 |
Deformation heterogeneity radiomics to predict molecular subtypes of pediatric Medulloblastoma on routine MRI S Iyer, M Ismail, B Tamrazi, A Margol, R Verma, R Correa, P Prasanna, ... Medical Imaging 2019: Computer-Aided Diagnosis 10950, 359-364, 2019 | 3 | 2019 |