Yi Lin - RankMe

67 papers A* 2A 1Journal 50Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	A Disease-Aware Dual-Stage Framework for Chest X-ray Report Generation. AAAI Puzhen Wu, Hexin Dong, Yi Lin, Yihao Ding, Yifan Peng
2026	J	`jnl`	LLM-Driven Medical Report Generation via Communication-Efficient Heterogeneous Federated Learning. IEEE Trans. Medical Imaging Haoxuan Che, Haibo Jin, Zhengrui Guo, Yi Lin, Cheng Jin, Hao Chen
2026	J	`jnl`	Overview of the CXR-LT 2026 Challenge: Multi-Center Long-Tailed and Zero Shot Chest X-ray Classification. CoRR Hexin Dong, Yi Lin, Pengyu Zhou, Fengnian Zhao, Alan Clint Legasto, Mingquan Lin, Hao Chen, Yuzhe Yang, George Shih, Yifan Peng
2026	J	`jnl`	RSNA Large Language Model Benchmark Dataset for Chest Radiographs of Cardiothoracic Disease: Radiologist Evaluation and Validation Enhanced by AI Labels (REVEAL-CXR). CoRR Yishu Wei, Adam E. Flanders, Errol Colak, John Mongan, Luciano M. Prevedello, Po-Hao Chen, Henrique Min Ho Lee, Gilberto Szarf, Hamilton Shoji, Jason Sho, Katherine P. Andriole, Tessa Sundaram Cook, Lisa C. Adams, Linda C. Chu, Maggie Chung, Geraldine Brusca-Augello, Djeven P. Deva, Navneet Singh, Felipe Antonio Sanchez Tijmes, Jeffrey B. Alpert, Elsie T. Nguyen, Drew A. Torigian, Kate Hanneman, Lauren K. Groner, Alexander Phan, Ali Islam, Matias F. Callejas, Gustavo Borges da Silva Teles, Faisal Jamal, Maryam Vazirabad, Ali Tejani, Hari Trivedi, Paulo Eduardo de Aguiar Kuriki, Rajesh Bhayana, Elana T. Benishay, Yi Lin, Yifan Peng, George Shih
2025	J	`jnl`	A Disease-Aware Dual-Stage Framework for Chest X-ray Report Generation. CoRR Puzhen Wu, Hexin Dong, Yi Lin, Yihao Ding, Yifan Peng
2025	J	`jnl`	Boosting Convolution With Efficient MLP-Permutation for Volumetric Medical Image Segmentation. IEEE Trans. Medical Imaging Yi Lin, Xiao Fang, Dong Zhang, Kwang-Ting Cheng, Hao Chen
2025	J	`jnl`	Corrigendum to "Detection and analysis of cerebral aneurysms based on X-ray rotational angiography - the CADA 2020 challenge" [Medical Image Analysis, April 2022, Volume 77, 102333]. Medical Image Anal. Matthias Ivantsits, Leonid Goubergrits, Jan-Martin Kuhnigk, Markus Hüllebrand, Jan Brüning, Tabea Kossen, Boris Pfahringer, Jens Schaller, Andreas Spuler, Titus Kühne, Yizhuan Jia, Xuesong Li, Suprosanna Shit, Bjoern H. Menze, Ziyu Su, Jun Ma, Ziwei Nie, Kartik Jain, Yanfei Liu, Yi Lin, Anja Hennemuth
2025	J	`jnl`	LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning. CoRR Haoxuan Che, Haibo Jin, Zhengrui Guo, Yi Lin, Cheng Jin, Hao Chen
2025	J	`jnl`	Merging Context Clustering With Visual State Space Models for Medical Image Segmentation. IEEE Trans. Medical Imaging Yun Zhu, Dong Zhang, Yi Lin, Yifei Feng, Jinhui Tang
2025	J	`jnl`	Merging Context Clustering with Visual State Space Models for Medical Image Segmentation. CoRR Yun Zhu, Dong Zhang, Yi Lin, Yifei Feng, Jinhui Tang
2025	J	`jnl`	Rethinking Boundary Detection in Deep Learning-Based Medical Image Segmentation. CoRR Yi Lin, Dong Zhang, Xiao Fang, Yufan Chen, Kwang-Ting Cheng, Hao Chen
2025	J	`jnl`	Rethinking boundary detection in deep learning-based medical image segmentation. Medical Image Anal. Yi Lin, Dong Zhang, Xiao Fang, Yufan Chen, Kwang-Ting Cheng, Hao Chen
2024	J	`jnl`	Adaptive Fusion of Deep Learning With Statistical Anatomical Knowledge for Robust Patella Segmentation From CT Images. IEEE J. Biomed. Health Informatics Jiachen Zhao, Tianshu Jiang, Yi Lin, Lok-Chun Chan, Ping-Keung Chan, Chun-Yi Wen, Hao Chen
2024	J	`jnl`	Adversarial Medical Image With Hierarchical Feature Hiding. IEEE Trans. Medical Imaging Qingsong Yao, Zecheng He, Yuexiang Li, Yi Lin, Kai Ma, Yefeng Zheng, S. Kevin Zhou
2024	—	`conf`	Aligning Medical Images with General Knowledge from Large Language Models. MICCAI (10) Xiao Fang, Yi Lin, Dong Zhang, Kwang-Ting Cheng, Hao Chen
2024	J	`jnl`	Aligning Medical Images with General Knowledge from Large Language Models. CoRR Xiao Fang, Yi Lin, Dong Zhang, Kwang-Ting Cheng, Hao Chen
2024	J	`jnl`	BoNuS: Boundary Mining for Nuclei Segmentation With Partial Point Labels. IEEE Trans. Medical Imaging Yi Lin, Zeyu Wang, Dong Zhang, Kwang-Ting Cheng, Hao Chen
2024	J	`jnl`	BoNuS: Boundary Mining for Nuclei Segmentation with Partial Point Labels. CoRR Yi Lin, Zeyu Wang, Dong Zhang, Kwang-Ting Cheng, Hao Chen
2024	J	`jnl`	CAE-GReaT: Convolutional-Auxiliary Efficient Graph Reasoning Transformer for Dense Image Predictions. Int. J. Comput. Vis. Dong Zhang, Yi Lin, Jinhui Tang, Kwang-Ting Cheng
2024	—	`conf`	Exploring Vision Language Pretraining with Knowledge Enhancement via Large Language Model. TAI4H Chuenyuet Tung, Yi Lin, Jianing Yin, Qiaoyuchen Ye, Hao Chen
2024	—	`conf`	Iterative Online Image Synthesis via Diffusion Model for Imbalanced Classification. MICCAI (5) Shuhan Li, Yi Lin, Hao Chen, Kwang-Ting Cheng
2024	J	`jnl`	Iterative Online Image Synthesis via Diffusion Model for Imbalanced Classification. CoRR Shuhan Li, Yi Lin, Hao Chen, Kwang-Ting Cheng
2024	J	`jnl`	LENAS: Learning-Based Neural Architecture Search and Ensemble for 3-D Radiotherapy Dose Prediction. IEEE Trans. Cybern. Yi Lin, Yanfei Liu, Hao Chen, Xin Yang, Kai Ma, Yefeng Zheng, Kwang-Ting Cheng
2024	J	`jnl`	Prompt-Guided Adaptive Model Transformation for Whole Slide Image Classification. CoRR Yi Lin, Zhengjie Zhu, Kwang-Ting Cheng, Hao Chen
2024	A*	`conf`	PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation. AAAI Haibo Jin, Haoxuan Che, Yi Lin, Hao Chen
2024	—	`conf`	Revisiting Deep Ensemble Uncertainty for Enhanced Medical Anomaly Detection. MICCAI (6) Yi Gu, Yi Lin, Kwang-Ting Cheng, Hao Chen
2024	J	`jnl`	Revisiting Deep Ensemble Uncertainty for Enhanced Medical Anomaly Detection. CoRR Yi Gu, Yi Lin, Kwang-Ting Cheng, Hao Chen
2024	—	`conf`	TAKT: Target-Aware Knowledge Transfer for Whole Slide Image Classification. MICCAI (4) Conghao Xiong, Yi Lin, Hao Chen, Hao Zheng, Dong Wei, Yefeng Zheng, Joseph J. Y. Sung, Irwin King
2024	J	`jnl`	Towards A Generalizable Pathology Foundation Model via Unified Knowledge Distillation. CoRR 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
2024	J	`jnl`	Triplet-branch network with contrastive prior-knowledge embedding for disease grading. Artif. Intell. Medicine Yuexiang Li, Yanping Wang, Guang Lin, Yawen Huang, Jingxin Liu, Yi Lin, Dong Wei, Qirui Zhang, Kai Ma, Zhiqiang Zhang, Guangming Lu, Yefeng Zheng
2023	J	`jnl`	A Permutable Hybrid Network for Volumetric Medical Image Segmentation. CoRR Yi Lin, Xiao Fang, Dong Zhang, Kwang-Ting Cheng, Hao Chen
2023	J	`jnl`	Adversarial Medical Image with Hierarchical Feature Hiding. CoRR Qingsong Yao, Zecheng He, Yuexiang Li, Yi Lin, Kai Ma, Yefeng Zheng, S. Kevin Zhou
2023	J	`jnl`	Bi-Modality Medical Image Synthesis Using Semi-Supervised Sequential Generative Adversarial Networks. CoRR Xin Yang, Yi Lin, Zhiwei Wang, Xin Li, Kwang-Ting Cheng
2023	J	`jnl`	Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions. CoRR 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
2023	J	`jnl`	Deep learning for computational cytology: A survey. Medical Image Anal. Hao Jiang, Yanning Zhou, Yi Lin, Ronald C. K. Chan, Jiang Liu, Hao Chen
2023	J	`jnl`	Exploring Visual Prompts for Whole Slide Image Classification with Multiple Instance Learning. CoRR Yi Lin, Zhongchen Zhao, Zhengjie Zhu, Lisheng Wang, Kwang-Ting Cheng, Hao Chen
2023	—	`conf`	Few Shot Medical Image Segmentation with Cross Attention Transformer. MICCAI (2) Yi Lin, Yufan Chen, Kwang-Ting Cheng, Hao Chen
2023	J	`jnl`	Few Shot Medical Image Segmentation with Cross Attention Transformer. CoRR Yi Lin, Yufan Chen, Kwang-Ting Cheng, Hao Chen
2023	J	`jnl`	Knowledge Transfer via Multi-Head Feature Adaptation for Whole Slide Image Classification. CoRR Conghao Xiong, Yi Lin, Hao Chen, Joseph J. Y. Sung, Irwin King
2023	J	`jnl`	Label-Efficient Deep Learning in Medical Image Analysis: Challenges and Future Directions. CoRR Cheng Jin, Zhengrui Guo, Yi Lin, Luyang Luo, Hao Chen
2023	J	`jnl`	Nuclei segmentation with point annotations from pathology images via self-supervised learning and co-training. Medical Image Anal. Yi Lin, Zhiyong Qu, Hao Chen, Zhongke Gao, Yuexiang Li, Lili Xia, Kai Ma, Yefeng Zheng, Kwang-Ting Cheng
2023	J	`jnl`	PromptMRG: Diagnosis-Driven Prompts for Medical Report Generation. CoRR Haibo Jin, Haoxuan Che, Yi Lin, Hao Chen
2023	—	`conf`	Rethinking Boundary Detection in Deep Learning Models for Medical Image Segmentation. IPMI Yi Lin, Dong Zhang, Xiao Fang, Yufan Chen, Kwang-Ting Cheng, Hao Chen
2023	J	`jnl`	Rethinking Boundary Detection in Deep Learning Models for Medical Image Segmentation. CoRR Yi Lin, Dong Zhang, Xiao Fang, Yufan Chen, Kwang-Ting Cheng, Hao Chen
2022	J	`jnl`	Accurate Scoliosis Vertebral Landmark Localization on X-ray Images via Shape-constrained Multi-stage Cascaded CNNs. CoRR Zhiwei Wang, Jinxin Lv, Yunqiao Yang, Yuanhuai Liang, Yi Lin, Qiang Li, Xin Li, Xin Yang
2022	J	`jnl`	Deep Learning for Computational Cytology: A Survey. CoRR Hao Jiang, Yanning Zhou, Yi Lin, Ronald C. K. Chan, Jiang Liu, Hao Chen
2022	J	`jnl`	Deep Learning for Medical Image Segmentation: Tricks, Challenges and Future Directions. CoRR Dong Zhang, Yi Lin, Hao Chen, Zhuotao Tian, Xin Yang, Jinhui Tang, Kwang-Ting Cheng
2022	J	`jnl`	Detection and analysis of cerebral aneurysms based on X-ray rotational angiography - the CADA 2020 challenge. Medical Image Anal. Matthias Ivantsits, Leonid Goubergrits, Jan-Martin Kuhnigk, Markus Hüllebrand, Jan Brüning, Tabea Kossen, Boris Pfahringer, Jens Schaller, Andreas Spuler, Titus Kühne, Yizhuan Jia, Xuesong Li, Suprosanna Shit, Bjoern H. Menze, Ziyu Su, Jun Ma, Ziwei Nie, Kartik Jain, Yanfei Liu, Yi Lin, Anja Hennemuth
2022	—	`conf`	InsMix: Towards Realistic Generative Data Augmentation for Nuclei Instance Segmentation. MICCAI (2) Yi Lin, Zeyu Wang, Kwang-Ting Cheng, Hao Chen
2022	J	`jnl`	InsMix: Towards Realistic Generative Data Augmentation for Nuclei Instance Segmentation. CoRR Yi Lin, Zeyu Wang, Kwang-Ting Cheng, Hao Chen
2022	J	`jnl`	Label Propagation for Annotation-Efficient Nuclei Segmentation from Pathology Images. CoRR Yi Lin, Zhiyong Qu, Hao Chen, Zhongke Gao, Yuexiang Li, Lili Xia, Kai Ma, Yefeng Zheng, Kwang-Ting Cheng
2022	J	`jnl`	Seg4Reg+: Consistency Learning between Spine Segmentation and Cobb Angle Regression. CoRR Yi Lin, Luyan Liu, Kai Ma, Yefeng Zheng
2021	—	`conf`	A Hierarchical Feature Constraint to Camouflage Medical Adversarial Attacks. MICCAI (3) Qingsong Yao, Zecheng He, Yi Lin, Kai Ma, Yefeng Zheng, S. Kevin Zhou
2021	J	`jnl`	Automated Pulmonary Embolism Detection from CTPA Images Using an End-to-End Convolutional Neural Network. CoRR Yi Lin, Jianchao Su, Xiang Wang, Xiang Li, Jingen Liu, Kwang-Ting Cheng, Xin Yang
2021	J	`jnl`	Comparing methods of detecting and segmenting unruptured intracranial aneurysms on TOF-MRAS: The ADAM challenge. NeuroImage Kimberley M. Timmins, Irene C. van der Schaaf, Edwin Bennink, Ynte M. Ruigrok, Xingle An, Michael Baumgartner, Pascal Bourdon, Riccardo de Feo, Tommaso Di Noto, Florian Dubost, Augusto Fava-Sanches, Xue Feng, Corentin Giroud, Inteneural Group, Minghui Hu, Paul F. Jaeger, Juhana Kaiponen, Michal Klimont, Yuexiang Li, Hongwei Li, Yi Lin, Timo Loehr, Jun Ma, Klaus H. Maier-Hein, Guillaume Marie, Bjoern H. Menze, Jonas Richiardi, Saifeddine Rjiba, Dhaval Shah, Suprosanna Shit, Jussi Tohka, Thierry Urruty, Urszula Walinska, Xiaoping Yang, Yunqiao Yang, Yin Yin, Birgitta K. Velthuis, Hugo J. Kuijf
2021	J	`jnl`	LE-NAS: Learning-based Ensenble with NAS for Dose Prediction. CoRR Yi Lin, Yanfei Liu, Jingguang Liu, Guocai Liu, Kai Ma, Yefeng Zheng
2021	—	`conf`	Seg4Reg+: Consistency Learning Between Spine Segmentation and Cobb Angle Regression. MICCAI (5) Yi Lin, Luyan Liu, Kai Ma, Yefeng Zheng
2021	—	`conf`	Triplet-Branch Network with Prior-Knowledge Embedding for Fatigue Fracture Grading. MICCAI (5) Yuexiang Li, Yanping Wang, Guang Lin, Yi Lin, Dong Wei, Qirui Zhang, Kai Ma, Guangming Lu, Zhiqiang Zhang, Yefeng Zheng
2020	J	`jnl`	A Hierarchical Feature Constraint to Camouflage Medical Adversarial Attacks. CoRR Qingsong Yao, Zecheng He, Yi Lin, Kai Ma, Yefeng Zheng, S. Kevin Zhou
2020	J	`jnl`	Bi-Modality Medical Image Synthesis Using Semi-Supervised Sequential Generative Adversarial Networks. IEEE J. Biomed. Health Informatics Xin Yang, Yi Lin, Zhiwei Wang, Xin Li, Kwang-Ting Cheng
2020	—	`conf`	Cerebral Aneurysm Rupture Risk Estimation Using XGBoost and Fully Connected Neural Network. CADA@MICCAI Yanfei Liu, Yunqiao Yang, Yi Lin, Yuexiang Li, Dong Wei, Kai Ma, Yefeng Zheng
2020	J	`jnl`	Semi-supervised mp-MRI data synthesis with StitchLayer and auxiliary distance maximization. Medical Image Anal. Zhiwei Wang, Yi Lin, Kwang-Ting (Tim) Cheng, Xin Yang
2019	J	`jnl`	A Two-Stage Convolutional Neural Network for Pulmonary Embolism Detection From CTPA Images. IEEE Access Xin Yang, Yi Lin, Jianchao Su, Xiang Wang, Xiang Li, Jingen Lin, Kwang-Ting Cheng
2019	—	`conf`	Automated Pulmonary Embolism Detection from CTPA Images Using an End-to-End Convolutional Neural Network. MICCAI (4) Yi Lin, Jianchao Su, Xiang Wang, Xiang Li, Jingen Liu, Kwang-Ting Cheng, Xin Yang
2019	—	`conf`	Seg4Reg Networks for Automated Spinal Curvature Estimation. CSI@MICCAI Yi Lin, Hong-Yu Zhou, Kai Ma, Xin Yang, Yefeng Zheng
2018	J	`jnl`	Semi-supervised mp-MRI Data Synthesis with StitchLayer and Auxiliary Distance Maximization. CoRR Zhiwei Wang, Yi Lin, Kwang-Ting Cheng, Xin Yang
2018	A	`conf`	StitchAD-GAN for Synthesizing Apparent Diffusion Coefficient Images of Clinically Significant Prostate Cancer. BMVC Zhiwei Wang, Yi Lin, Chunyuan Liao, Kwang-Ting Cheng, Xin Yang