朱河勤，中国科学院大学计算机与控制学院硕士研究生，主要研究方向：医疗图像处理，计算机视觉。

学习经历

2020/09-至今，中国科学院大学，计算机应用技术，硕士

2016/09-2020/06，中国科学技术大学，计算机科学与技术，学士

获奖及荣誉

1. 2017年中国科学技术大学化研所英才奖

2. 2018年中国科学技术大学优秀学生奖

学术论文

[1] Heqin Zhu, Qingsong Yao, Li Xiao, S. Kevin Zhou.: Learning to Localize Cross-Anatomy Landmarks in X-Ray Images with a Universal Model. BME Frontiers 2022

[2] Heqin Zhu, Qingsong Yao, Li Xiao, S. Kevin Zhou.: You only learn once: universal anatomical landmark detection. In: de Bruijne, M., et al. (eds.) MICCAI 2021. LNCS, vol. 12905, pp. 85–95. Springer, Cham (2021).

[3] Yuanyuan Lyu, Haofu Liao, Heqin Zhu, S. Kevin Zhou.: A3DSegNet: Anatomy-Aware Artifact Disentanglement and Segmentation Network for Unpaired Segmentation, Artifact Reduction, and Modality Translation. International Conference on Information Processing in Medical Imaging, 360-372. (2021)

[4] Pengbo Liu, Hu Han, Yuanqi Du, Heqin Zhu, Yinhao Li, Feng Gu, Honghu Xiao, Jun Li, Chunpeng Zhao, Li Xiao, Xinbao Wu, S Kevin Zhou.: Deep learning to segment pelvic bones: large-scale CT datasets and baseline models. International Journal of Computer Assisted Radiology and Surgery 16 (5), 749-756.(2021)