Yi Lin

According to our database, Yi Lin authored at least 42 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning.

Haoxuan Che, Haibo Jin, Zhengrui Guo, Yi Lin, Cheng Jin, Hao Chen

CoRR, June, 2025

Merging Context Clustering With Visual State Space Models for Medical Image Segmentation.

Yun Zhu, Dong Zhang, Yi Lin, Yifei Feng, Jinhui Tang

IEEE Trans. Medical Imaging, May, 2025

Boosting Convolution With Efficient MLP-Permutation for Volumetric Medical Image Segmentation.

Yi Lin, Xiao Fang, Dong Zhang, Kwang-Ting Cheng, Hao Chen

IEEE Trans. Medical Imaging, May, 2025

Rethinking boundary detection in deep learning-based medical image segmentation.

Yi Lin, Dong Zhang, Xiao Fang, Yufan Chen, Kwang-Ting Cheng, Hao Chen

Medical Image Anal., 2025

2024

LENAS: Learning-Based Neural Architecture Search and Ensemble for 3-D Radiotherapy Dose Prediction.

Yi Lin, Yanfei Liu, Hao Chen, Xin Yang, Kai Ma, Yefeng Zheng, Kwang-Ting Cheng

IEEE Trans. Cybern., October, 2024

BoNuS: Boundary Mining for Nuclei Segmentation With Partial Point Labels.

Yi Lin, Zeyu Wang, Dong Zhang, Kwang-Ting Cheng, Hao Chen

IEEE Trans. Medical Imaging, June, 2024

Adaptive Fusion of Deep Learning With Statistical Anatomical Knowledge for Robust Patella Segmentation From CT Images.

Jiachen Zhao, Tianshu Jiang, Yi Lin, Lok-Chun Chan, Ping-Keung Chan, Chun-Yi Wen, Hao Chen

IEEE J. Biomed. Health Informatics, May, 2024

CAE-GReaT: Convolutional-Auxiliary Efficient Graph Reasoning Transformer for Dense Image Predictions.

Dong Zhang, Yi Lin, Jinhui Tang, Kwang-Ting Cheng

Int. J. Comput. Vis., May, 2024

Adversarial Medical Image With Hierarchical Feature Hiding.

Qingsong Yao, Zecheng He, Yuexiang Li, Yi Lin, Kai Ma, Yefeng Zheng, S. Kevin Zhou

IEEE Trans. Medical Imaging, April, 2024

Towards A Generalizable Pathology Foundation Model via Unified Knowledge Distillation.

Jiabo Ma, Zhengrui Guo, Fengtao Zhou, Yihui Wang, Yingxue Xu, Yu Cai, Zhengjie Zhu, Cheng Jin, Yi Lin, Xinrui Jiang, Anjia Han, Li Liang, Ronald Cheong Kin Chan, Jiguang Wang, Kwang-Ting Cheng, Hao Chen

CoRR, 2024

Prompt-Guided Adaptive Model Transformation for Whole Slide Image Classification.

Yi Lin, Zhengjie Zhu, Kwang-Ting Cheng, Hao Chen

CoRR, 2024

Triplet-branch network with contrastive prior-knowledge embedding for disease grading.

Yuexiang Li, Yanping Wang, Guang Lin, Yawen Huang, Jingxin Liu, Yi Lin, Dong Wei, Qirui Zhang, Kai Ma, Zhiqiang Zhang, Guangming Lu, Yefeng Zheng

Artif. Intell. Medicine, 2024

TAKT: Target-Aware Knowledge Transfer for Whole Slide Image Classification.

Conghao Xiong, Yi Lin, Hao Chen, Hao Zheng, Dong Wei, Yefeng Zheng, Joseph J. Y. Sung, Irwin King

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Iterative Online Image Synthesis via Diffusion Model for Imbalanced Classification.

Shuhan Li, Yi Lin, Hao Chen, Kwang-Ting Cheng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Revisiting Deep Ensemble Uncertainty for Enhanced Medical Anomaly Detection.

Yi Gu, Yi Lin, Kwang-Ting Cheng, Hao Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Aligning Medical Images with General Knowledge from Large Language Models.

Xiao Fang, Yi Lin, Dong Zhang, Kwang-Ting Cheng, Hao Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation.

Haibo Jin, Haoxuan Che, Yi Lin, Hao Chen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Nuclei segmentation with point annotations from pathology images via self-supervised learning and co-training.

Yi Lin, Zhiyong Qu, Hao Chen, Zhongke Gao, Yuexiang Li, Lili Xia, Kai Ma, Yefeng Zheng, Kwang-Ting Cheng

Medical Image Anal., October, 2023

Deep learning for computational cytology: A survey.

Hao Jiang, Yanning Zhou, Yi Lin, Ronald C. K. Chan, Jiang Liu, Hao Chen

Medical Image Anal., 2023

Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions.

Luyang Luo, Xi Wang, Yi Lin, Xiaoqi Ma, Andong Tan, Ronald C. K. Chan, Varut Vardhanabhuti, Winnie C. W. Chu, Kwang-Ting Cheng, Hao Chen

CoRR, 2023

Exploring Visual Prompts for Whole Slide Image Classification with Multiple Instance Learning.

Yi Lin, Zhongchen Zhao, Zhengjie Zhu, Lisheng Wang, Kwang-Ting Cheng, Hao Chen

CoRR, 2023

A Permutable Hybrid Network for Volumetric Medical Image Segmentation.

Yi Lin, Xiao Fang, Dong Zhang, Kwang-Ting Cheng, Hao Chen

CoRR, 2023

Label-Efficient Deep Learning in Medical Image Analysis: Challenges and Future Directions.

Cheng Jin, Zhengrui Guo, Yi Lin, Luyang Luo, Hao Chen

CoRR, 2023

Knowledge Transfer via Multi-Head Feature Adaptation for Whole Slide Image Classification.

Conghao Xiong, Yi Lin, Hao Chen, Joseph J. Y. Sung, Irwin King

CoRR, 2023

Few Shot Medical Image Segmentation with Cross Attention Transformer.

Yi Lin, Yufan Chen, Kwang-Ting Cheng, Hao Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Rethinking Boundary Detection in Deep Learning Models for Medical Image Segmentation.

Yi Lin, Dong Zhang, Xiao Fang, Yufan Chen, Kwang-Ting Cheng, Hao Chen

Proceedings of the Information Processing in Medical Imaging, 2023

2022

Deep Learning for Medical Image Segmentation: Tricks, Challenges and Future Directions.

Dong Zhang, Yi Lin, Hao Chen, Zhuotao Tian, Xin Yang, Jinhui Tang, Kwang-Ting Cheng

CoRR, 2022

Seg4Reg+: Consistency Learning between Spine Segmentation and Cobb Angle Regression.

Yi Lin, Luyan Liu, Kai Ma, Yefeng Zheng

CoRR, 2022

Accurate Scoliosis Vertebral Landmark Localization on X-ray Images via Shape-constrained Multi-stage Cascaded CNNs.

Zhiwei Wang, Jinxin Lv, Yunqiao Yang, Yuanhuai Liang, Yi Lin, Qiang Li, Xin Li, Xin Yang

CoRR, 2022

Label Propagation for Annotation-Efficient Nuclei Segmentation from Pathology Images.

Yi Lin, Zhiyong Qu, Hao Chen, Zhongke Gao, Yuexiang Li, Lili Xia, Kai Ma, Yefeng Zheng, Kwang-Ting Cheng

CoRR, 2022

InsMix: Towards Realistic Generative Data Augmentation for Nuclei Instance Segmentation.

Yi Lin, Zeyu Wang, Kwang-Ting Cheng, Hao Chen

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

LE-NAS: Learning-based Ensenble with NAS for Dose Prediction.

Yi Lin, Yanfei Liu, Jingguang Liu, Guocai Liu, Kai Ma, Yefeng Zheng

CoRR, 2021

A Hierarchical Feature Constraint to Camouflage Medical Adversarial Attacks.

Qingsong Yao, Zecheng He, Yi Lin, Kai Ma, Yefeng Zheng, S. Kevin Zhou

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Seg4Reg+: Consistency Learning Between Spine Segmentation and Cobb Angle Regression.

Yi Lin, Luyan Liu, Kai Ma, Yefeng Zheng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Triplet-Branch Network with Prior-Knowledge Embedding for Fatigue Fracture Grading.

Yuexiang Li, Yanping Wang, Guang Lin, Yi Lin, Dong Wei, Qirui Zhang, Kai Ma, Guangming Lu, Zhiqiang Zhang, Yefeng Zheng

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Bi-Modality Medical Image Synthesis Using Semi-Supervised Sequential Generative Adversarial Networks.

Xin Yang, Yi Lin, Zhiwei Wang, Xin Li, Kwang-Ting Cheng

IEEE J. Biomed. Health Informatics, 2020

Semi-supervised mp-MRI data synthesis with StitchLayer and auxiliary distance maximization.

Zhiwei Wang, Yi Lin, Kwang-Ting (Tim) Cheng, Xin Yang

Medical Image Anal., 2020

Cerebral Aneurysm Rupture Risk Estimation Using XGBoost and Fully Connected Neural Network.

Yanfei Liu, Yunqiao Yang, Yi Lin, Yuexiang Li, Dong Wei, Kai Ma, Yefeng Zheng

Proceedings of the Cerebral Aneurysm Detection - First Challenge, 2020

2019

A Two-Stage Convolutional Neural Network for Pulmonary Embolism Detection From CTPA Images.

Xin Yang, Yi Lin, Jianchao Su, Xiang Wang, Xiang Li, Jingen Lin, Kwang-Ting Cheng

IEEE Access, 2019

Seg4Reg Networks for Automated Spinal Curvature Estimation.

Yi Lin, Hong-Yu Zhou, Kai Ma, Xin Yang, Yefeng Zheng

Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2019

Automated Pulmonary Embolism Detection from CTPA Images Using an End-to-End Convolutional Neural Network.

Yi Lin, Jianchao Su, Xiang Wang, Xiang Li, Jingen Liu, Kwang-Ting Cheng, Xin Yang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

StitchAD-GAN for Synthesizing Apparent Diffusion Coefficient Images of Clinically Significant Prostate Cancer.

Zhiwei Wang, Yi Lin, Chunyuan Liao, Kwang-Ting Cheng, Xin Yang

Proceedings of the British Machine Vision Conference 2018, 2018