YOUNGUNG HAN is currently pursuing the Ph.D. degree with the Department of Computer Science and Engineering, Seoul National University, Seoul, Republic of Korea. He is a Research Assistant at the Intelligent Medical Systems and Imaging (IMSI) Laboratory, where his research focuses on developing advanced deep learning architectures for medical image analysis. His research interests lie in advanced deep learning architectures for 3D medical image analysis. Recently, he has been developing adaptive transformer architectures to detect subtle pathological features. He is also actively exploring generative AI frameworks and self-supervised learning strategies to address the challenges of data scarcity and class imbalance in clinical datasets.

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Education

• Ph.D. Candiate (ABD) in Computer Science and Engineering

  Seoul National University

Recent Publications

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