期刊论文:
(*通讯作者, #共同一作)
[24] Xingyue Zhao#, Zhongyu Li#*, Xiangde Luo#, Peiqi Li, Peng Huang, Jianwei Zhu, Yang Liu, Jihua Zhu, Meng Yang, Shi Chang, Jun Dong*. "Ultrasound Nodule Segmentation Using Asymmetric Learning with Simple Clinical Annotation", IEEE Transactions on Circuits and Systems for Video Technology, 2024. (IF: 8.4) [Link][Code]

[23]Xiang Luo#, Zhongyu Li#*, Canhua Xu#, Bite Zhang, Liangliang Zhang, Jihua Zhu, Peng Huang, Xin Wang, Meng Yang, Shi Chang*. "Semi-supervised Thyroid Nodule Detection in Ultrasound Videos", IEEE Transactions on Medical Imaging, 2024. (IF:10.6) [Link][Code]

[22] Xuemeng Hu#, Zhongyu Li#*, Yi Wu#, Jingyi Liu, Xiang Luo, Jing Ren. "Neighbouring-slice Guided Multi-View Framework for brain image segmentation". Neurocomputing, 2024. (IF: 6) [Link][Code]

[21] Zhongyu Li#, Zengyi Shang#, Jingyi Liu#, Haotian Zhen#, Entao Zhu#, Shilin Zhong, Robyn N. Sturgess, Yitian Zhou, Xuemeng Hu, Xingyue Zhao, Yi Wu, Peiqi Li, Rui Lin, Jing Ren*. "D-LMBmap: A fully automated deep learning pipeline for whole-brain profiling of neural circuitry". Nature Methods, 2023 (IF: 47.99) [Link][Project Page]

[20] Zhongyu Li#, Chaoqun Li#, Xiangde Luo#, Yitian Zhou, Jihua Zhu, Cunbao Xu, Meng Yang, Yenan Wu, Yifeng Chen*. "Towards Source-Free Cross Tissues Histopathological Cell Segmentation via Target-Specific Finetuning". IEEE Transactions on Medical Imaging, 2023. (IF: 10.6) [Link][Code]
[19] Kun Zhang, Zhongyu Li*, Chang Cai, Jingyi Liu, Dou Xu, Chaowei Fang, Peng Huang, Ying Wang, Meng Yang, Shi Chang. "Semi-supervised graph convolutional networks for the domain adaptive recognition of thyroid nodules in cross-device ultrasound images". Medical Physics, 2023. (IF: 4.506) [Code]
[18] 甄昊天 , 常令琛 , 祝继华 , 朱恩涛 , 樊夏玥 , 李钟毓*. "局部特征与点云配准引导下的神经元相似性度量方法". 计算机辅助设计与图形学学报, 2023.

[17] Jingyi Liu, Zhongyu Li*, Xiayue Fan, Xuemeng Hu, Jintao Yan, Bolin Li, Qing Xia, Jihua Zhu, Yue Wu. "CRT-Net: A generalized and scalable framework for the computer-aided diagnosis of Electrocardiogram signals". Applied Soft Computing, 2022. (IF: 8.263)
[16] 樊夏玥, 甄昊天, 商增谊, 徐文菲, 李钟毓*. "基于卷积自编码器与点云配准的神经元形态相似性度量方法". 中国生物医学工程学报, 2023.
[15] Qian Da, Xiaodi Huang, Zhongyu Li, etc. "DigestPath: a Benchmark Dataset with Challenge Review for the Pathological Detection and Segmentation of Digestive-System". Medical Image Analysis, 2022. (IF:13.828)
[14] Lei Yang, Dou Xu, Yiqing Tan, Bolin Li, Dan Zhu, Jingbo Wang, Hui Sun, Xinglong Liu, Xiaopu Zheng, Ling Zhu, Zhongyu Li*. "Association Between the Concentration and Rangeability of Cystatin C and Mortality of COVID-19 Patients With or Without Type 2 Diabetes Mellitus: A Retrospective Analysis". Frontiers in Endocrinology, 2021. (IF: 5.555)
[13] Zhongyu Li*, Xiayue Fan, Zengyi Shang, Lina Zhang, Haotian Zhen, Chaowei Fang, ''Towards Computational Analytics of 3D Neuron Images using Deep Adversarial Learning'', Neurocomputing, 2021 (IF: 5.719)
[12] 常令琛, 李钟毓*, 樊夏玥, 商增谊, 景海婷. "基于三维深度神经网络的大规模神经元形态表征与检索方法". 中国科学: 信息科学, 2021.
[11] Jihua Zhu, Rui Guo, Zhongyu Li*, Jing Zhang, Shanmin Pang. "Registration of multi-view point sets under the perspective of expectation-maximization". IEEE Transactions on Image Processing, 2020. (IF: 10.856)
[10] 景海婷、张秦、陈曼、张兰、李政霄、祝继华、李钟毓*. "小样本域自适应的皮肤病临床影像识别方法". 学报, 2020.
[9] Zhongyu Li, Jiamin Liu, Zhiqiang Tian, Jihua Zhu, Ce Li, Shaoyi Du. "Adaptive weighted motion averaging with low-rank sparse for robust multi-view registration". Neurocomputing, 2020. (IF: 5.719)
[8] Dezheng Liu, Zhongyu Li, Yuanyuan Ma, Yulong Zhang. "Listwise learning to rank with extreme order sensitive constraint via cross‐correntropy". Concurrency and Computation: Practice and Experience, 2020. (IF: 1.536)
[7] Zhongyu Li, Xiaofan Zhang, Henning Müller, Shaoting Zhang*, "Large-scale Retrieval for Medical Image Analytics: A Comprehensive Review", Medical Image Analysis, 2018. (IF: 8.545)
[6] Zhongyu Li, Erik Butler, Kang Li, Aidong Lu, Shuiwang Ji, Shaoting Zhang*, "Large-scale Exploration of Neuronal Morphologies using Deep Learning and Augmented Reality", Neuroinformatics, 2018. (IF: 4.085)
[5] Zhongyu Li, Ruogu Fang, Fumin Shen, Amin Katouzian, Shaoting Zhang*, "Indexing and Mining Large-Scale Neuron Databases using Maximum Inner Product Search", Pattern Recognition, 2017. (IF: 7.740)
[4] Zhongyu Li, Dimitris N. Metaxas, Aidong Lu, Shaoting Zhang*, "Interactive Exploration for Continuously Expanding Neuron Databases", Methods, 2017. (IF: 3.608)
[3] Jihua Zhu, Li Zhu, Zhongyu Li, Chen Li, Jingru Cui, "Automatic Multi-view Registration of Unordered Range Scans without Feature Extraction", Neurocomputing, 2016. (IF: 5.719)
[2] Jihua Zhu, Zhongyu Li, Shaoyi Du, Liang Ma, Te Zhang, "Surface Reconstruction via Efficient and Accurate Registration of Multiview Range Scans", Optical Engineering, 2014. (IF=1.084)
[1] Jihua Zhu, Deyu Meng, Zhongyu Li, Shaoyi Du, Zejian Yuan, "Robust Registration of Partially Overlapping Point Sets via Genetic Algorithm with Growth Operator", IET Image Processing, 2014. (IF: 1.995)

专著章节:
[1] Bin Kong#, Zhongyu Li#, Shaoting Zhang, "Toward Large-scale Histopathological Image Analysis via Deep Learning", Biomedical Information Technology, 2020.

会议论文:

[13] Xingyue Zhao, Peiqi Li, Xiangde Luo, Meng Yang, Shi Chang*, Zhongyu Li*. "SAM-driven weakly supervised nodule segmentation with uncertainty-aware cross teaching". IEEE International Symposium on Biomedical Imaging (ISBI), 2024.

[12] Xingguang Wang, Zhongyu Li*, Xiangde Luo, Jing Wan, Jianwei Zhu, Ziqi Yang, Meng Yang, Cunbao Xu. "Black-box Domain Adaptative Cell Segmentation via Multi-source Distillation". MICCAI, 2023. [Code]

[11] Zhongyu Li, Zengyi Shang, Jingyi Liu, Haotian Zhen, Robyn N. Sturgess, Shilin Zhong, Michael H Hastings, Rui Lin, Jing Ren. "D-LMBmap: A fully automated deep learning pipeline for whole-brain profiling of circuits". Neuroscience 2022. (Abstract)

[10] Yuchen Wang, Zhongyu Li*, Xiangxiang Cui, Liangliang Zhang, Xiang Luo, Meng Yang, Shi Chang. "Key-frame Guided Network for Thyroid Nodule Recognition Using Ultrasound Videos". MICCAI, 2022. [Code]
[9] Chaoqun Li, Yitian Zhou, Tangqi Shi, Yenan Wu, Meng Yang, Zhongyu Li*. "Unsupervised Domain Adaptation for the Histopathological Cell Segmentation through Self-Ensembling". MICCAI workshop on Computational Pathology, 2021.
[8] Chang Cai, Dou Xu, Chaowei Fang, Meng Yang, Zhongyu Li*. "Graph Neural Networks for the Cross-Domain Histopathological Image Classification". IEEE International Symposium on Biomedical Imaging (ISBI), 2021. oral presentation
[7] Peng Liu, Bin Kong, Zhongyu Li, Shaoting Zhang, Ruogu Fang, ''CFEA: Collaborative Feature Ensembling Adaptation for Domain Adaptation in Unsupervised Optic Disc and Cup Segmentation'', MICCAI, 2019.
[6] Zhongyu Li, Yixuan Lou, Zhennan Yan, Subhi Al'Aref, James K Min, Leon Axel, Dimitris N. Metaxas, "Fully Automatic Segmentation of Short-axis Cardiac MRI using Modified Deep Layer Aggregation", IEEE International Symposium on Biomedical Imaging (ISBI), 2019.
[5] Willis Fulmer, Tahir Mahmood, Zhongyu Li, Shaoting Zhang, Jian Huang, Aidong Lu, "ImWeb: Cross-Platform Immersive Web Browsing for Online 3D Neuron Database Exploration", ACM Conference on Intelligence User Interfaces (IUI), 2019.
[4] Zhongyu Li, Chaowei Fang, Shaoting Zhang, "Deep Feature Representation for the Computational Analytics of 3D Neuronal Morphology", IEEE International Symposium on Biomedical Imaging (ISBI), 2018.
[3] Bin Kong, Xin Wang, Zhongyu Li, Qi Song, Shaoting Zhang, "Cancer Metastasis Detection via Spatially Structured Deep Network", International Conference on Information Processing in Medical Imaging (IPMI), 2017.
[2] Zhongyu Li, Fumin Shen, Ruogu Fang, Sailesh Conjeti, Amin Katouzian, Shaoting Zhang, "Maximum Inner Product Search for Morphological Retrieval of Large-Scale Neuron Data", IEEE International Symposium on Biomedical Imaging (ISBI), 2016. oral presentation
[1] Zhongyu Li, Jihua Zhu, Ke Lan, Chen Li, Chaowei Fang, "Improved Techniques for Multi-view Registration with Motion Averaging", International Conference on 3D Vision (3DV), 2014.