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Ramon Correa
Ramon Correa
Other namesRamon Luis Correa, Ramon Luis Correa-Medero
Verified email at asu.edu
Title
Cited by
Cited by
Year
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
2592022
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
1172018
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
812020
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
752021
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
752018
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
302020
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
272020
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
242023
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
242023
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
182015
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, ...
82018
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
62022
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, ...
62022
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
62021
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
52022
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
52022
Long‐term 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
52021
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
41982
" 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
32020
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
32019
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