Publications by authors named "Ramon Correa"

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The EMory BrEast imaging Dataset (EMBED): A Racially Diverse, Granular Dataset of 3.4 Million Screening and Diagnostic Mammographic Images.
Jiwoong J Jeong, Brianna L Vey, Ananth Bhimireddy, Thomas Kim, Thiago Santos, Ramon Correa, Raman Dutt, Marina Mosunjac, Gabriela Oprea-Ilies, Geoffrey Smith

Radiol Artif Intell· January 2023

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The impact of language discordance on pediatric cancer care outcomes: A systematic review.
Joanna M Robles, Jenny Ruiz, Ramon Correa, Nicole Dinescu-Munoz, Chandni Patel

Pediatr Blood Cancer· December 2024

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Efficient adversarial debiasing with concept activation vector - Medical image case-studies.
Ramon Correa, Khushbu Pahwa, Bhavik Patel, Celine M Vachon, Judy W Gichoya

J Biomed Inform· January 2024

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Opportunistic assessment of ischemic heart disease risk using abdominopelvic computed tomography and medical record data: a multimodal explainable artificial intelligence approach.
Juan M Zambrano Chaves, Andrew L Wentland, Arjun D Desai, Imon Banerjee, Gurkiran Kaur, Ramon Correa

Sci Rep· November 2023

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Novel MRI deformation-heterogeneity radiomic features are associated with molecular subgroups and overall survival in pediatric medulloblastoma: Preliminary findings from a multi-institutional study.
Sukanya Iyer, Marwa Ismail, Benita Tamrazi, Ralph Salloum, Peter de Blank, Ramon Correa

Front Oncol· December 2022

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AI recognition of patient race in medical imaging: a modelling study.
Judy Wawira Gichoya, Imon Banerjee, Ananth Reddy Bhimireddy, John L Burns, Leo Anthony Celi, Ramon Correa

Lancet Digit Health· June 2022

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Long-term outcome of early steroid withdrawal in pediatric renal transplantation.
Macarena Gajardo, Angela Delucchi, Diego Pérez, José M Cancino, Carla Gálvez, Ramón Correa

Pediatr Transplant· December 2021

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Reproducibility analysis of multi-institutional paired expert annotations and radiomic features of the Ivy Glioblastoma Atlas Project (Ivy GAP) dataset.
Sarthak Pati, Ruchika Verma, Hamed Akbari, Michel Bilello, Virginia B Hill, Ramon Correa

Med Phys· December 2020

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Can Tumor Location on Pre-treatment MRI Predict Likelihood of Pseudo-Progression vs. Tumor Recurrence in Glioblastoma?-A Feasibility Study.
Marwa Ismail, Virginia Hill, Volodymyr Statsevych, Evan Mason, Ramon Correa

Front Comput Neurosci· December 2020

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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.
Ruchika Verma, Ramon Correa, Virginia B Hill, Volodymyr Statsevych, Kaustav Bera

Radiol Artif Intell· November 2020

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Radiogenomic-Based Survival Risk Stratification of Tumor Habitat on Gd-T1w MRI Is Associated with Biological Processes in Glioblastoma.
Niha Beig, Kaustav Bera, Prateek Prasanna, Jacob Antunes, Ramon Correa

Clin Cancer Res· April 2020

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Radiogenomic analysis of hypoxia pathway is predictive of overall survival in Glioblastoma.
Niha Beig, Jay Patel, Prateek Prasanna, Virginia Hill, Amit Gupta, Ramon Correa

Sci Rep· January 2018

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Kidney transplant in pediatric patients with severe bladder pathology.
María Consuelo Sierralta, Gloria González, Claudio Nome, Cesar Pinilla, Ramón Correa

Pediatr Transplant· November 2015

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