Daniel Kim (김다니엘)
Electrical & Electronic Engineering, Yonsei University
Integrated MS/PhD student
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RESEARCH INTEREST
Deep learning, Medical image synthesis, Pseudo label generation
PUBLICATIONS (SCIE)
CONFERENCES (INTERNATIONAL)
Daniel Kim, Mohammed A. Al-masni, Jae-Hun Lee, Dong-Hyun Kim, Kanghyun Ryu. Improving Pelvic MR-CT Image Alignment with Self-supervised Reference-Augmented Pseudo-CT Generation Framework. WACV, 2024.
Daniel Kim, Jae-Hun Lee, Yoseob Han, Kanghyun Ryu, Dong-Hyun Kim. Meta-Learning Guided Pelvis MR to CT Translation: Addressing Cross-Modality Misalignments. In: Proceedings of the Annual Meeting of ISMRM, Singapore, 2024.
Daniel Kim, Jae-Hun Lee, Mohammed A. Al-masni, Jun-ho Kim, Yoonseok Choi, Eun-Gyu Ha, SunYoung Jung, Young Noh, and Dong-Hyun Kim. 3D Lesion Generation Model considering Anatomic Localization to Improve Object Detection inLimited Lacune Data. In: Proceedings of the Annual Meeting of ISMRM, Toronto, ON, Canada, 2023.
CONFERENCES (DOMESTIC)
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