Ramón Correa
Arizona State University(US)
Publications by Year
Research Areas
Radiomics and Machine Learning in Medical Imaging, Glioma Diagnosis and Treatment, MRI in cancer diagnosis, Artificial Intelligence in Healthcare and Education, AI in cancer detection
Most-Cited Works
- → AI recognition of patient race in medical imaging: a modelling study(2022)476 cited
- → Radiogenomic analysis of hypoxia pathway is predictive of overall survival in Glioblastoma(2018)151 cited
- → Radiogenomic-Based Survival Risk Stratification of Tumor Habitat on Gd-T1w MRI Is Associated with Biological Processes in Glioblastoma(2020)125 cited
- → Shape Features of the Lesion Habitat to Differentiate Brain Tumor Progression from Pseudoprogression on Routine Multiparametric MRI: A Multisite Study(2018)98 cited
- → The EMory BrEast imaging Dataset (EMBED): A Racially Diverse, Granular Dataset of 3.4 Million Screening and Diagnostic Mammographic Images(2023)72 cited
- → Tumor Habitat–derived Radiomic Features at Pretreatment MRI That Are Prognostic for Progression-free Survival in Glioblastoma Are Associated with Key Morphologic Attributes at Histopathologic Examination: A Feasibility Study(2020)71 cited
- → Reproducibility analysis of multi‐institutional paired expert annotations and radiomic features of the Ivy Glioblastoma Atlas Project (Ivy GAP) dataset(2020)42 cited
- → Autofluorescence Spectroscopy in Liver Transplantation: Preliminary Results From a Pilot Clinical Study(2008)39 cited
- → Opportunistic assessment of ischemic heart disease risk using abdominopelvic computed tomography and medical record data: a multimodal explainable artificial intelligence approach(2023)33 cited
- → Reading Race: AI Recognises Patient's Racial Identity In Medical Images(2021)31 cited