Ramon Correa

According to our database, Ramon Correa authored at least 12 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Efficient adversarial debiasing with concept activation vector - Medical image case-studies.

Ramon Correa, Khushbu Pahwa, Bhavik N. Patel, Celine M. Vachon, Judy W. Gichoya, Imon Banerjee

J. Biomed. Informatics, January, 2024

2022

The EMory BrEast imaging Dataset (EMBED): A Racially Diverse, Granular Dataset of 3.5M Screening and Diagnostic Mammograms.

Jiwoong Jason Jeong, Brianna L. Vey, Ananth Reddy Bhimireddy, Thomas Kim, Thiago Santos, Ramon Correa, Raman Dutt, Marina Mosunjac, Gabriela Oprea-Ilies, Geoffrey H. Smith, Minjae Woo, Christopher R. McAdams, Mary S. Newell, Imon Banerjee, Judy Gichoya, Hari Trivedi

CoRR, 2022

Networking Research Innovations for Telesurgery: A Systematic Review.

Pradeeban Kathiravelu, Elhadj Benkhelifa, Zachary Zaiman, Matthew Wang, Ramon Correa, Luís Veiga, Imon Banerjee, Hari Trivedi, Saptarshi Purkayastha, Judy Gichoya, Babak Mahmoudi

Proceedings of the Ninth International Conference on Software Defined Systems, 2022

A radiomics approach to distinguish non-contrast enhancing tumor from vasogenic edema on multi-parametric pre-treatment MRI scans for glioblastoma tumors.

Ipsa Yadav, Marwa Ismail, Volodymyr Statsevych, Virginia B. Hill, Ramon Correa, Manmeet Ahluwalia, Pallavi Tiwari

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

2021

Two-step adversarial debiasing with partial learning - medical image case-studies.

Ramon Correa, Jiwoong Jason Jeong, Bhavik N. Patel, Hari Trivedi, Judy W. Gichoya, Imon Banerjee

CoRR, 2021

Reading Race: AI Recognises Patient's Racial Identity In Medical Images.

Imon Banerjee, Ananth Reddy Bhimireddy, John L. Burns, Leo Anthony Celi, Li-Ching Chen, Ramon Correa, Natalie Dullerud, Marzyeh Ghassemi, Shih-Cheng Huang, Po-Chih Kuo, Matthew P. Lungren, Lyle J. Palmer, Brandon J. Price, Saptarshi Purkayastha, Ayis Pyrros, Luke Oakden-Rayner, Chima Okechukwu, Laleh Seyyed-Kalantari, Hari Trivedi, Ryan Wang, Zachary Zaiman, Haoran Zhang, Judy W. Gichoya

CoRR, 2021

2020

Can Tumor Location on Pre-treatment MRI Predict Likelihood of Pseudo-Progression vs. Tumor Recurrence in Glioblastoma? - A Feasibility Study.

Marwa Ismail, Virginia B. Hill, Volodymyr Statsevych, Evan Mason, Ramon Correa, Prateek Prasanna, Gagandeep Singh, Kaustav Bera, Rajat Thawani, Manmeet Ahluwalia, Anant Madabhushi, Pallavi Tiwari

Frontiers Comput. Neurosci., 2020

Can tumor location on pre-treatment MRI predict likelihood of pseudo-progression versus tumor recurrence in Glioblastoma? A feasibility study.

Marwa Ismail, Virginia B. Hill, Volodymyr Statsevych, Evan Mason, Ramon Correa, Prateek Prasanna, Gagandeep Singh, Kaustav Bera, Rajat Thawani, Anant Madabhushi, Manmeet Ahluwalia, Pallavi Tiwari

CoRR, 2020

Spatial-And-Context Aware (SpACe) "Virtual Biopsy" Radiogenomic Maps to Target Tumor Mutational Status on Structural MRI.

Marwa Ismail, Ramon Correa, Kaustav Bera, Ruchika Verma, Anas Saeed Bamashmos, Niha G. Beig, Jacob Antunes, Prateek Prasanna, Volodymyr Statsevych, Manmeet Ahluwalia, Pallavi Tiwari

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

"Lesion-habitat" radiomics to distinguish radiation necrosis from tumor recurrence on post-treatment MRI in metastatic brain tumors.

Ramon Correa, Qiu Lei, Jonathan Chen, Johnathan Zeng, Jennifer Yu, Pallavi Tiwari

Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

2019

Radiomics of the lesion habitat on pre-treatment MRI predicts response to chemo-radiation therapy in Glioblastoma.

Ruchika Verma, Ramon Correa, Virginia B. Hill, Niha G. Beig, Abdelkader Mahammedi, Anant Madabhushi, Pallavi Tiwari

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

Deformation heterogeneity radiomics to predict molecular subtypes of pediatric Medulloblastoma on routine MRI.

Sukanya Iyer, Marwa Ismail, Benita Tamrazi, Ashley Margol, Ruchika Verma, Ramon Correa, Prateek Prasanna, Niha G. Beig, Kaustav Bera, Volodymyr Statsevych, Alexander R. Judkins, Anant Madabhushi, Pallavi Tiwari

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019