StitchAD-GAN for Synthesizing Apparent Diffusion Coefficient Images of Clinically Significant Prostate Cancer. - Zhiwei Wang 002; Yi Lin 009; Chunyuan Liao; Kwang-Ting Cheng; Xin Yang 008 (BMVC, 2018)

Automated Pulmonary Embolism Detection from CTPA Images Using an End-to-End Convolutional Neural Network. - Yi Lin 009; Jianchao Su; Xiang Wang; Xiang Li; Jingen Liu; Kwang-Ting Cheng; Xin Yang 008 (MICCAI (4), 2019)

Seg4Reg Networks for Automated Spinal Curvature Estimation. - Yi Lin 009; Hong-Yu Zhou; Kai Ma 002; Xin Yang 008; Yefeng Zheng 001 (CSI@MICCAI, 2019)

A Two-Stage Convolutional Neural Network for Pulmonary Embolism Detection From CTPA Images. - Xin Yang 008; Yi Lin 009; Jianchao Su; Xiang Wang; Xiang Li; Jingen Lin; Kwang-Ting Cheng (IEEE Access, 2019)

Cerebral Aneurysm Rupture Risk Estimation Using XGBoost and Fully Connected Neural Network. - Yanfei Liu; Yunqiao Yang; Yi Lin 009; Yuexiang Li; Dong Wei 004; Kai Ma 002; Yefeng Zheng 001 (CADA@MICCAI, 2020)

Semi-supervised mp-MRI data synthesis with StitchLayer and auxiliary distance maximization. - Zhiwei Wang 002; Yi Lin 009; Kwang-Ting (Tim) Cheng; Xin Yang 008 (Medical Image Anal., 2020)

Bi-Modality Medical Image Synthesis Using Semi-Supervised Sequential Generative Adversarial Networks. - Xin Yang 008; Yi Lin 009; Zhiwei Wang 002; Xin Li 001; Kwang-Ting Cheng (IEEE J. Biomed. Health Informatics, 2020)

Triplet-Branch Network with Prior-Knowledge Embedding for Fatigue Fracture Grading. - Yuexiang Li; Yanping Wang; Guang Lin; Yi Lin 009; Dong Wei 004; Qirui Zhang 004; Kai Ma 002; Guangming Lu 001; Zhiqiang Zhang; Yefeng Zheng 001 (MICCAI (5), 2021)

Seg4Reg+: Consistency Learning Between Spine Segmentation and Cobb Angle Regression. - Yi Lin 009; Luyan Liu; Kai Ma 002; Yefeng Zheng 001 (MICCAI (5), 2021)

A Hierarchical Feature Constraint to Camouflage Medical Adversarial Attacks. - Qingsong Yao; Zecheng He; Yi Lin 009; Kai Ma 002; Yefeng Zheng 001; S. Kevin Zhou (MICCAI (3), 2021)

LE-NAS: Learning-based Ensenble with NAS for Dose Prediction. - Yi Lin 009; Yanfei Liu; Jingguang Liu; Guocai Liu; Kai Ma 002; Yefeng Zheng 001 (CoRR, 2021)

InsMix: Towards Realistic Generative Data Augmentation for Nuclei Instance Segmentation. - Yi Lin 009; Zeyu Wang; Kwang-Ting Cheng; Hao Chen 011 (MICCAI (2), 2022)

Label Propagation for Annotation-Efficient Nuclei Segmentation from Pathology Images. - Yi Lin 009; Zhiyong Qu; Hao Chen 011; Zhongke Gao; Yuexiang Li; Lili Xia; Kai Ma 002; Yefeng Zheng 001; Kwang-Ting Cheng (CoRR, 2022)

Accurate Scoliosis Vertebral Landmark Localization on X-ray Images via Shape-constrained Multi-stage Cascaded CNNs. - Zhiwei Wang 002; Jinxin Lv; Yunqiao Yang; Yuanhuai Liang; Yi Lin 009; Qiang Li 018; Xin Li 001; Xin Yang 008 (CoRR, 2022)

Seg4Reg+: Consistency Learning between Spine Segmentation and Cobb Angle Regression. - Yi Lin 009; Luyan Liu; Kai Ma 001; Yefeng Zheng 001 (CoRR, 2022)

Deep Learning for Medical Image Segmentation: Tricks, Challenges and Future Directions. - Dong Zhang; Yi Lin 009; Hao Chen 011; Zhuotao Tian; Xin Yang 008; Jinhui Tang 001; Kwang-Ting Cheng (CoRR, 2022)

Rethinking Boundary Detection in Deep Learning Models for Medical Image Segmentation. - Yi Lin 009; Dong Zhang; Xiao Fang; Yufan Chen; Kwang-Ting Cheng; Hao Chen 011 (IPMI, 2023)

Few Shot Medical Image Segmentation with Cross Attention Transformer. - Yi Lin 009; Yufan Chen; Kwang-Ting Cheng; Hao Chen 011 (MICCAI (2), 2023)

Knowledge Transfer via Multi-Head Feature Adaptation for Whole Slide Image Classification. - Conghao Xiong; Yi Lin 009; Hao Chen 011; Joseph J. Y. Sung; Irwin King (CoRR, 2023)

Label-Efficient Deep Learning in Medical Image Analysis: Challenges and Future Directions. - Cheng Jin 003; Zhengrui Guo; Yi Lin 009; Luyang Luo; Hao Chen 011 (CoRR, 2023)

A Permutable Hybrid Network for Volumetric Medical Image Segmentation. - Yi Lin 009; Xiao Fang; Dong Zhang; Kwang-Ting Cheng; Hao Chen 011 (CoRR, 2023)

Exploring Visual Prompts for Whole Slide Image Classification with Multiple Instance Learning. - Yi Lin 009; Zhongchen Zhao; Zhengjie Zhu; Lisheng Wang; Kwang-Ting Cheng; Hao Chen 011 (CoRR, 2023)

Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions. - Luyang Luo; Xi Wang 013; Yi Lin 009; Xiaoqi Ma; Andong Tan; Ronald C. K. Chan; Varut Vardhanabhuti; Winnie C. W. Chu; Kwang-Ting Cheng; Hao Chen 011 (CoRR, 2023)

Deep learning for computational cytology: A survey. - Hao Jiang 028; Yanning Zhou 001; Yi Lin 009; Ronald C. K. Chan; Jiang Liu 001; Hao Chen 011 (Medical Image Anal., 2023)

Nuclei segmentation with point annotations from pathology images via self-supervised learning and co-training. - Yi Lin 009; Zhiyong Qu; Hao Chen 011; Zhongke Gao; Yuexiang Li; Lili Xia; Kai Ma 002; Yefeng Zheng 001; Kwang-Ting Cheng (Medical Image Anal., 2023)

PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation. - Haibo Jin; Haoxuan Che; Yi Lin 009; Hao Chen 011 (AAAI, 2024)

Aligning Medical Images with General Knowledge from Large Language Models. - Xiao Fang; Yi Lin 009; Dong Zhang; Kwang-Ting Cheng; Hao Chen 011 (MICCAI (10), 2024)

Revisiting Deep Ensemble Uncertainty for Enhanced Medical Anomaly Detection. - Yi Gu; Yi Lin 009; Kwang-Ting Cheng; Hao Chen 011 (MICCAI (6), 2024)

Iterative Online Image Synthesis via Diffusion Model for Imbalanced Classification. - Shuhan Li; Yi Lin 009; Hao Chen 011; Kwang-Ting Cheng (MICCAI (5), 2024)

TAKT: Target-Aware Knowledge Transfer for Whole Slide Image Classification. - Conghao Xiong; Yi Lin 009; Hao Chen 011; Hao Zheng 008; Dong Wei 004; Yefeng Zheng 001; Joseph J. Y. Sung; Irwin King (MICCAI (4), 2024)

Triplet-branch network with contrastive prior-knowledge embedding for disease grading. - Yuexiang Li; Yanping Wang; Guang Lin; Yawen Huang; Jingxin Liu; Yi Lin 009; Dong Wei 004; Qirui Zhang 004; Kai Ma 002; Zhiqiang Zhang; Guangming Lu 001; Yefeng Zheng 001 (Artif. Intell. Medicine, 2024)

Prompt-Guided Adaptive Model Transformation for Whole Slide Image Classification. - Yi Lin 009; Zhengjie Zhu; Kwang-Ting Cheng; Hao Chen 011 (CoRR, 2024)

Towards A Generalizable Pathology Foundation Model via Unified Knowledge Distillation. - Jiabo Ma; Zhengrui Guo; Fengtao Zhou; Yihui Wang 002; Yingxue Xu; Yu Cai 005; Zhengjie Zhu; Cheng Jin 003; Yi Lin 009; Xinrui Jiang; Anjia Han; Li Liang; et al. (CoRR, 2024)

Adversarial Medical Image With Hierarchical Feature Hiding. - Qingsong Yao; Zecheng He; Yuexiang Li; Yi Lin 009; Kai Ma 002; Yefeng Zheng 001; S. Kevin Zhou (IEEE Trans. Medical Imaging, 2024)

CAE-GReaT: Convolutional-Auxiliary Efficient Graph Reasoning Transformer for Dense Image Predictions. - Dong Zhang; Yi Lin 009; Jinhui Tang 001; Kwang-Ting Cheng (Int. J. Comput. Vis., 2024)

Adaptive Fusion of Deep Learning With Statistical Anatomical Knowledge for Robust Patella Segmentation From CT Images. - Jiachen Zhao; Tianshu Jiang; Yi Lin 009; Lok-Chun Chan; Ping-Keung Chan; Chun-Yi Wen; Hao Chen 011 (IEEE J. Biomed. Health Informatics, 2024)

BoNuS: Boundary Mining for Nuclei Segmentation With Partial Point Labels. - Yi Lin 009; Zeyu Wang; Dong Zhang; Kwang-Ting Cheng; Hao Chen 011 (IEEE Trans. Medical Imaging, 2024)

LENAS: Learning-Based Neural Architecture Search and Ensemble for 3-D Radiotherapy Dose Prediction. - Yi Lin 009; Yanfei Liu; Hao Chen 011; Xin Yang 008; Kai Ma 002; Yefeng Zheng 001; Kwang-Ting Cheng (IEEE Trans. Cybern., 2024)

Rethinking boundary detection in deep learning-based medical image segmentation. - Yi Lin 009; Dong Zhang; Xiao Fang; Yufan Chen; Kwang-Ting Cheng; Hao Chen 011 (Medical Image Anal., 2025)

Boosting Convolution With Efficient MLP-Permutation for Volumetric Medical Image Segmentation. - Yi Lin 009; Xiao Fang; Dong Zhang; Kwang-Ting Cheng; Hao Chen 011 (IEEE Trans. Medical Imaging, 2025)

Merging Context Clustering With Visual State Space Models for Medical Image Segmentation. - Yun Zhu; Dong Zhang; Yi Lin 009; Yifei Feng; Jinhui Tang 001 (IEEE Trans. Medical Imaging, 2025)

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning. - Haoxuan Che; Haibo Jin; Zhengrui Guo; Yi Lin 009; Cheng Jin 003; Hao Chen 011 (CoRR, 2025)