Ramon Correa
Ramon Correa
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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), 1-11, 2018
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
Radiogenomic-Based Survival Risk Stratification of Tumor Habitat on Gd-T1w MRI Is Associated with Biological Processes in GlioblastomaRadiogenomic Analysis of Tumor Habitat oná…
N Beig, K Bera, P Prasanna, J Antunes, R Correa, S Singh, ...
Clinical Cancer Research 26 (8), 1866-1876, 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
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, 2022
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
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
Tumor habitat–derived radiomic features at pretreatment MRI that are prognostic for progression-free survival in glioblastoma are associated with key morphologic attributes atá…
R Verma, R Correa, VB Hill, V Statsevych, K Bera, N Beig, A Mahammedi, ...
Radiology: Artificial Intelligence 2 (6), 2020
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, ...
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
G Singh, R Correa
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
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
Spatial-And-Context Aware (SpACe) “Virtual Biopsy” Radiogenomic Maps to Target Tumor Mutational Status on Structural MRI
M Ismail, R Correa, K Bera, R Verma, A Saeed Bamashmos, N Beig, ...
International Conference on Medical Image Computing and Computer-Assistedá…, 2020
Radiomics of the lesion habitat on pre-treatment MRI predicts response to chemo-radiation therapy in Glioblastoma
R Verma, R Correa, V Hill, N Beig, A Mahammedi, A Madabhushi, ...
Medical Imaging 2019: Computer-Aided Diagnosis 10950, 62-70, 2019
N Beig, R Correa, R Thawani, P Prasanna, C Badve, D Gold, ...
Neuro-Oncology 19 (Suppl 4), iv47, 2017
Radiogenomic analysis of distinct tumor sub-compartments on T2 and FLAIR predict distinct molecular subtypes in lower grade gliomas
N Beig, R Correa, P Prasanna, J Mitra, A Nayate, A Madabhushi, P Tiwari
Int. Soc. Magn. Reson. Med, 4232-4255, 2017
Predicting IDH mutation status on routine treatment-na´ve MRI using radiogenomic features from peritumoral brain parenchyma
N Beig, R Correa, P Prasanna, J Mitra, A Madabhushi, A Nayate, P Tiwari
NEURO-ONCOLOGY 18, 124-124, 2016
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
A radiomics approach to distinguish non-contrast enhancing tumor from vasogenic edema on multi-parametric pre-treatment MRI scans for glioblastoma tumors
I Yadav, M Ismail, V Statsevych, V Hill, R Correa, M Ahluwalia, P Tiwari
Medical Imaging 2022: Computer-Aided Diagnosis 12033, 768-773, 2022
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