Changmin Jeon, Ph.D.

Upon earning my Doctorate from the Graduate School of Korea University, I have focused on bridging the gap between sophisticated AI architectures and clinical radiology. My academic journey has been defined by a commitment to enhancing diagnostic accuracy through the fusion of deep learning and medical imaging expertise.

My core research involves leveraging Group Normalization (GN) to achieve batch-size independence and superior stability during the training of deep neural networks. I am particularly adept at implementing YOLO-based detection and GNN-driven anatomical modeling for advanced X-ray interpretation.