J. Cai, L. Lu, F. Xing, and L. Yang,"Pancreas segmentation in ct and mrivia task-specific network design and recurrent neural contextual learning,"in Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics. Springer, pp. 3–21, 2019.
L.Lu, X.Wang,G. Carneiro,and L.Yang,"Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics,"Springer, 2019.
X. Shi and L. Yang,"Deep hashing and its application for histopathology image analysis,"in Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics. Springer, pp. 219–237, 2019.
Y. Xie, F. Liu, F. Xing, and L. Yang,"Deep learning for muscle pathology image analysis,"in Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics. Springer, pp. 23–41, 2019.
Le Lu, Yefeng Zheng, Gustavo Carneiro, Lin Yang,"Deep Learning and Convolutional Neural Networks for Medical Image Computing - Precision Medicine, High Performance and Large-Scale Datasets,"Advances in Computer Vision and Pattern Recognition, Springer , ISBN 978-3-319-42998-4, 2017
Lin Yang and David J. Foran,"Parametric and geometric deformable models: An application in biomaterials and medical imaging,"Suri/Farag, eds, Vol. 2, Chapter 4, pp. 95-122, Springer, ISBN: 0-387-31204-8,2006.
Xiaoping Shen and Lin Yang,"Handbook of medical image analysis: segmentation and registration models,"Suri/Wilson/Laxminarayan, eds, Vol. 1, Chapter 1, 47 pp., Kluwer, ISBN: 0306485508, 2005.
Shichuan Zhang, Chenglu Zhu, Honglin Li , Jiatong Cai, Lin Yang,"Gradient-aware learning for joint biases: Label noise and class imbalance,"Neural Networks, 2023
Jingxiong Li, Sunyi Zheng, Zhongyi Shui, Shichuan Zhang, Linyi Yang, Yuxuan Sun, Yunlong Zhang, Honglin Li, Yuanxin Ye, Peter M.A. van Ooijen, Kang Li, Lin Yang,"Masked conditional variational autoencoders for chromosome straightening,"IEEE TRANSACTIONS ON MEDICAL IMAGING, 2023.
Li Yuan,Lin Yang,Shichuan Zhang ,Zhiyuan Xu ,Jiangjiang Qin ,Yunfu Shi,Pengcheng Yu,Yi Wang,Zhehan Bao,Yuhang Xia,Jiancheng Sun,Weiyang He,Tianhui Chen,Xiaolei Chen,C,"Development of a tongue image-based machine learning tool for the diagnosis of gastric cancer:a prospective multicentre clinical cohort study,"eClinicalMedicine,Vol.57,101834,2023.
Hansheng Li, Yuxin Kang, Wentao Yang, Zhuoyue Wu, Xiaoshuang Shi, Feihong Liu, Jianye Liu, Lingyu Hu, Qian Ma, Lei Cui, Jun Feng, Lin Yang,"A Robust Training Method for Pathological Cellular Detector via Spatial Loss Calibration,"Frontiers in Medicine, Vol.8, 2021.
Boju Pan, Yuxin Kang, Yan Jin, Lin Yang, Yushuang Zheng, Lei Cui, Jian Sun, Jun Feng, Yuan Li, Lingchuan Guo and Zhiyong Liang,"Automated tumor proportion scoring for PD-L1 expression based on multistage ensemble strategy in non-small cell lung cancer,"Journal of Translational Medicine, 19(1):249, 202
Jinzheng Cai, Adam P. Harrison, Youjing Zheng, Ke Yan, Yuankai Huo, Jing Xiao, Lin Yang, Le Lu,"Lesion-Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at Scale,"IEEE Transactions on Medical Imaging, 40(1): 59-70 ,2021.
Xiaoshuang Shi, Fuyong Xing, Zizhao Zhang, Manish Sapkota, Zhenhua Guo, Lin Yang,"A Scalable Optimization Mechanism for Pairwise Based Discrete Hashing,"IEEE Transactions on Image Processing,Vol. 30: 1130-1142, 2021.
Zizhao Zhang, Pingjun Chen, Xiaoshuang Shi, Lin Yang,"Text-Guided Neural Network Training for Image Recognition in Natural Scenes and Medicine,"IEEE Trans Pattern Anal Mach Intell,43(5): 1733-1745 ,2021.
Pingjun Chen, Yun Liang, Xiaoshuang Shi, Lin Yang, Paul D. Gader,"Automatic whole slide pathology image diagnosis framework via unit stochastic selection and attention fusion,"Neurocomputing,453: 312-325, 2021.
X Shi, H Su, F Xing, Y Liang, G Qu, L Yang,"Graph temporal ensembling based semi-supervised convolutional neural network with noisy labels for histopathology image analysis,"Medical Image Analysis, 2020.
Yuxuan Sun, Chenglu Zhu, Sunyi Zheng, Kai Zhang, Lin Sun, Zhongyi Shui, Yunlong Zhang, Honglin Li, Lin Yang,"PathAsst: A Generative Foundation AI Assistant Towards Artificial General Intelligence of Pathology,"AAAI, 2024
Zhongyi Shui, Sunyi Zheng, Chenglu Zhu, Shichuan Zhang, Xiaoxuan Yu, Honglin Li, Jingxiong Li, Pingyi Chen, Lin Yang,"DPA-P2PNet: Deformable Proposal-Aware P2PNet for Accurate Point-Based Cell Detection,"AAAI, 2024
Shichuan Zhang, Sunyi Zheng, Zhongyi Shui, Lin YangShichuan Zhang, Sunyi Zheng, Zhongyi Shui, Lin Yang,"HLS-FGVC: HIERARCHICAL LABEL SEMANTICS ENHANCED FINE-GRAINED VISUAL CLASSIFICATIONHLS-FGVC: HIERARCHICAL LABEL SEMANTICS ENHANCED FINE-GRAINED VISUAL CLASSIFICATION,"ICASSP, 2024
Shichuan Zhang, Sunyi Zheng, Zhongyi Shui, Honglin Li, Lin Yang,"Multi-modal Learning with Missing Modality in Predicting Axillary Lymph Node Metastasis,"BIBM, 2023
Pingyi Chen, Chenglu Zhu, Zhongyi Shui, Jiatong Cai, Sunyi Zheng, Shichuan Zhang, Lin Yang,"Exploring Unsupervised Cell Recognition with Prior Self-activation Maps,"MICCAI, 2023
Yuxuan Sun,Chenglu Zhu,Yunlong Zhang,Honglin Li,Pingyi Chen,Lin Yang,"Assessing the Robustness of Deep Learning-Assisted Pathological Image Analysis Under Practical Variables of Imaging System,"ICASSP,2023.
Honglin Li, Chenglu Zhu, Yunlong Zhang, Yuxuan Sun, Zhongyi Shui, Wenwei Kuang,Sunyi Zheng,Lin Yang,"Task-specific Fine-tuning via Variational Information Bottleneck for Weakly-supervised Pathology Whole Slide Image Classification,"CVPR,2023
Sunyi Zheng*, Jingxiong Li*, Zhongyi Shui, Chenglu Zhu, Yunlong Zhang, Pingyi Chen, Lin Yang,"ChrSNet: Chromosome Straightening using Self-attention Guided Networks,"MICCAI, 2022.
Yunlong Zhang*, Yuxuan Sun*, Honglin Li, Sunyi Zheng, Chenglu Zhu, Lin Yang,"Benchmarking the Robustness of Deep Neural Networks to Common Corruptions in Digital Pathology," MICCAI, 2022.
Zhongyi Shui*, Shichuan Zhang*, Chenglu Zhu, Bingchuan Wang, Pingyi Chen, Sunyi Zheng, Lin Yang,"End-to-End cell recognition by point annotation,"MICCAI, 2022.
