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Hyeokjin Kwon .

Person: Postdoctoral Fellow

Hyeokjin is a Research Fellow at the Fetal-Neonatal Neuroimaging Developmental Science Center (FNNDSC) at Boston Children’s Hospital, Harvard Medical School. He obtained his PhD in Electronic Engineering from Hanyang University, South Korea, in August 2024. During his doctoral studies, his research...

Deep Learning-based Brain Age Prediction Using MRI to Identify Fetuses with Cerebral Ventriculomegaly.

Publication: Journal Article

Yun, Hyuk Jin, Han-Jui Lee, Sungmin You, Joo Young Lee, Jerjes Aguirre-Chavez, Lana Vasung, Hyun Ju Lee, et al. 2025. “Deep Learning-Based Brain Age Prediction Using MRI to Identify Fetuses With Cerebral Ventriculomegaly.”. Radiology. Artificial Intelligence 7 (2): e240115.

Foetal cortical expansion is associated with neurodevelopmental outcome at 2-years in congenital heart disease: a longitudinal follow-up study.

Publication: Journal Article

Wilson, Siân, Hyuk Jin Yun, Anjali Sadhwani, Henry A Feldman, Seungyoon Jeong, Nicholas Hart, Kaysi Herrera Pujols, et al. 2025. “Foetal Cortical Expansion Is Associated With Neurodevelopmental Outcome at 2-Years in Congenital Heart Disease: A Longitudinal Follow-up Study.”. EBioMedicine 114: 105679.

Noncoding variants and sulcal patterns in congenital heart disease: Machine learning to predict functional impact.

Publication: Journal Article

Mondragon-Estrada, Enrique, Jane W Newburger, Steven R DePalma, Martina Brueckner, John Cleveland, Wendy K Chung, Bruce D Gelb, et al. 2025. “Noncoding Variants and Sulcal Patterns in Congenital Heart Disease: Machine Learning to Predict Functional Impact.”. IScience 28 (2): 111707.

Camila Rodriguez Martinez ..

Person: Student Intern

Camila Rodriguez Martinez is a Computer Science and Technology Engineering student at ITESM, driven by her passion for deep learning and its applications in neuroscience. She has worked on computational biology projects, leveraging programming tools like Python, C++, and MATLAB to analyze complex...

Graph-based prototype inverse-projection for identifying cortical sulcal pattern abnormalities in congenital heart disease.

Publication: Journal Article

Kwon, Hyeokjin, Seungyeon Son, Sarah U Morton, David Wypij, John Cleveland, Caitlin K Rollins, Hao Huang, et al. 2025. “Graph-Based Prototype Inverse-Projection for Identifying Cortical Sulcal Pattern Abnormalities in Congenital Heart Disease.”. Medical Image Analysis 102: 103538.

Impact of high maternal body mass index on fetal cerebral cortical and cerebellar volumes.

Publication: Journal Article

Takeoka, Emiko, April A Carlson, Neel Madan, Afshin Azimirad, Taysir Mahmoud, Rie Kitano, Shizuko Akiyama, et al. 2025. “Impact of High Maternal Body Mass Index on Fetal Cerebral Cortical and Cerebellar Volumes.”. Journal of Perinatal Medicine 53 (3): 376-86.