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Heqin Zhu is a Ph.D. student at the University of Science and Technology of China (USTC), co-supervised by Prof. S. Kevin Zhou and Prof. Peng Xiong. He received his bachelor degree from USTC in 2020 and master degree from Institute of Computing Technology (ICT) and University of Chinese Academy of Sciences (UCAS) in 2023. His research areas are computational biology and medical image analysis, with specific focus on RNA structure modeling, anatomical landmark detection and few-shot learning. |
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Heqin Zhu, Quan Quan, Qingsong Yao, Zaiyi Liu, S. Kevin Zhou International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023. Early Accept  code
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Two-stage framework for multi-domain one-shot anatomical landmark detection, which generates pseudo labels according to one-shot template and trains domain-adaptive transformer for final landmark prediction. |
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Heqin Zhu, Qingsong Yao, Li Xiao, S. Kevin Zhou International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021.  code/
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bibtex
A universal model for multi-domain anatomical landmark detection, which excaves common knowledge from all domains to promote the learning of domain-specified features. |
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Modified from Jon Barron |