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Yi Lin 0009
Person information
- affiliation: Tencent, Jarvis Lab, Shenzhen, China
- affiliation: Hong Kong University of Science and Technology, Department of Computer Science and Engineering, Hong Kong
- affiliation: Huazhong University of Science and Technology, School of Electronic Information and Communications, Wuhan, China
Other persons with the same name
- Yi Lin — disambiguation page
- Yi Lin 0001 — Nanjing University of Aeronautics and Astronautics, College of Economics and Management, China (and 1 more)
- Yi Lin 0002
— Peking University, School of Earth and Space Science, Institute of Remote Sensing and Geographic Information Systems, Beijing, China (and 1 more)
- Yi Lin 0003 — Huawei Technologies Co., Ltd., Network Research Department, Shenzhen, China
- Yi Lin 0004
— Tongji University, College of Surveying, Mapping and Geo-information, Shanghai, China
- Yi Lin 0005 — McGill University, School of Computer Science, Montreal, QC, Canada
- Yi Lin 0006
— Sichuan University, National Key Laboratory of Fundamental Science on Synthetic Vision / National Key Laboratory of Air Traffic Control Automation System Technology, Chengdu, China
- Yi Lin 0007
— National University of Defense Technology, College of Electronic Science, Changsha, China
- Yi Lin 0008 — University of Waterloo, Ontario, Canada
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2020 – today
- 2024
- [j10]Yuexiang Li
, Yanping Wang, Guang Lin, Yawen Huang, Jingxin Liu, Yi Lin
, Dong Wei, Qirui Zhang
, Kai Ma, Zhiqiang Zhang, Guangming Lu, Yefeng Zheng:
Triplet-branch network with contrastive prior-knowledge embedding for disease grading. Artif. Intell. Medicine 149: 102801 (2024) - [j9]Dong Zhang
, Yi Lin, Jinhui Tang, Kwang-Ting Cheng:
CAE-GReaT: Convolutional-Auxiliary Efficient Graph Reasoning Transformer for Dense Image Predictions. Int. J. Comput. Vis. 132(5): 1502-1520 (2024) - [j8]Yi Lin
, Yanfei Liu
, Hao Chen
, Xin Yang
, Kai Ma
, Yefeng Zheng
, Kwang-Ting Cheng
:
LENAS: Learning-Based Neural Architecture Search and Ensemble for 3-D Radiotherapy Dose Prediction. IEEE Trans. Cybern. 54(10): 5795-5805 (2024) - [j7]Jiachen Zhao
, Tianshu Jiang
, Yi Lin
, Lok-Chun Chan
, Ping-Keung Chan
, Chun-Yi Wen
, Hao Chen
:
Adaptive Fusion of Deep Learning With Statistical Anatomical Knowledge for Robust Patella Segmentation From CT Images. IEEE J. Biomed. Health Informatics 28(5): 2842-2853 (2024) - [j6]Qingsong Yao
, Zecheng He
, Yuexiang Li
, Yi Lin
, Kai Ma
, Yefeng Zheng
, S. Kevin Zhou
:
Adversarial Medical Image With Hierarchical Feature Hiding. IEEE Trans. Medical Imaging 43(4): 1296-1307 (2024) - [j5]Yi Lin
, Zeyu Wang, Dong Zhang
, Kwang-Ting Cheng
, Hao Chen
:
BoNuS: Boundary Mining for Nuclei Segmentation With Partial Point Labels. IEEE Trans. Medical Imaging 43(6): 2137-2147 (2024) - [c10]Xiao Fang, Yi Lin, Dong Zhang, Kwang-Ting Cheng, Hao Chen:
Aligning Medical Images with General Knowledge from Large Language Models. MICCAI (10) 2024: 57-67 - [c9]Shuhan Li, Yi Lin, Hao Chen, Kwang-Ting Cheng:
Iterative Online Image Synthesis via Diffusion Model for Imbalanced Classification. MICCAI (5) 2024: 371-381 - [c8]Conghao Xiong
, Yi Lin
, Hao Chen
, Hao Zheng, Dong Wei, Yefeng Zheng
, Joseph J. Y. Sung
, Irwin King
:
TAKT: Target-Aware Knowledge Transfer for Whole Slide Image Classification. MICCAI (4) 2024: 503-513 - [c7]Yi Gu, Yi Lin, Kwang-Ting Cheng, Hao Chen:
Revisiting Deep Ensemble Uncertainty for Enhanced Medical Anomaly Detection. MICCAI (6) 2024: 520-530 - [i17]Yi Lin, Zeyu Wang, Dong Zhang, Kwang-Ting Cheng, Hao Chen:
BoNuS: Boundary Mining for Nuclei Segmentation with Partial Point Labels. CoRR abs/2401.07437 (2024) - [i16]Shuhan Li, Yi Lin, Hao Chen, Kwang-Ting Cheng:
Iterative Online Image Synthesis via Diffusion Model for Imbalanced Classification. CoRR abs/2403.08407 (2024) - [i15]Yi Lin, Zhengjie Zhu, Kwang-Ting Cheng, Hao Chen:
Prompt-Guided Adaptive Model Transformation for Whole Slide Image Classification. CoRR abs/2403.12537 (2024) - [i14]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:
Towards A Generalizable Pathology Foundation Model via Unified Knowledge Distillation. CoRR abs/2407.18449 (2024) - [i13]Xiao Fang, Yi Lin, Dong Zhang, Kwang-Ting Cheng, Hao Chen:
Aligning Medical Images with General Knowledge from Large Language Models. CoRR abs/2409.00341 (2024) - [i12]Yi Gu, Yi Lin, Kwang-Ting Cheng, Hao Chen:
Revisiting Deep Ensemble Uncertainty for Enhanced Medical Anomaly Detection. CoRR abs/2409.17485 (2024) - 2023
- [j4]Yi Lin
, Zhiyong Qu, Hao Chen
, Zhongke Gao, Yuexiang Li
, Lili Xia
, Kai Ma, Yefeng Zheng
, Kwang-Ting Cheng
:
Nuclei segmentation with point annotations from pathology images via self-supervised learning and co-training. Medical Image Anal. 89: 102933 (2023) - [c6]Yi Lin, Dong Zhang, Xiao Fang, Yufan Chen, Kwang-Ting Cheng, Hao Chen:
Rethinking Boundary Detection in Deep Learning Models for Medical Image Segmentation. IPMI 2023: 730-742 - [c5]Yi Lin, Yufan Chen, Kwang-Ting Cheng, Hao Chen:
Few Shot Medical Image Segmentation with Cross Attention Transformer. MICCAI (2) 2023: 233-243 - [i11]Yi Lin, Xiao Fang, Dong Zhang, Kwang-Ting Cheng, Hao Chen:
A Permutable Hybrid Network for Volumetric Medical Image Segmentation. CoRR abs/2303.13111 (2023) - [i10]Yi Lin, Zhongchen Zhao, Zhengjie Zhu, Lisheng Wang, Kwang-Ting Cheng, Hao Chen:
Exploring Visual Prompts for Whole Slide Image Classification with Multiple Instance Learning. CoRR abs/2303.13122 (2023) - [i9]Yi Lin, Yufan Chen, Kwang-Ting Cheng, Hao Chen:
Few Shot Medical Image Segmentation with Cross Attention Transformer. CoRR abs/2303.13867 (2023) - [i8]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:
Deep Learning in Breast Cancer Imaging: A Decade of Progress and Future Directions. CoRR abs/2304.06662 (2023) - [i7]Yi Lin, Dong Zhang, Xiao Fang, Yufan Chen, Kwang-Ting Cheng, Hao Chen:
Rethinking Boundary Detection in Deep Learning Models for Medical Image Segmentation. CoRR abs/2305.00678 (2023) - [i6]Xin Yang, Yi Lin, Zhiwei Wang, Xin Li, Kwang-Ting Cheng:
Bi-Modality Medical Image Synthesis Using Semi-Supervised Sequential Generative Adversarial Networks. CoRR abs/2308.14066 (2023) - 2022
- [c4]Yi Lin, Zeyu Wang, Kwang-Ting Cheng
, Hao Chen:
InsMix: Towards Realistic Generative Data Augmentation for Nuclei Instance Segmentation. MICCAI (2) 2022: 140-149 - [i5]Yi Lin, Zhiyong Qu, Hao Chen, Zhongke Gao, Yuexiang Li, Lili Xia, Kai Ma, Yefeng Zheng, Kwang-Ting Cheng:
Label Propagation for Annotation-Efficient Nuclei Segmentation from Pathology Images. CoRR abs/2202.08195 (2022) - [i4]Yi Lin, Zeyu Wang, Kwang-Ting Cheng
, Hao Chen:
InsMix: Towards Realistic Generative Data Augmentation for Nuclei Instance Segmentation. CoRR abs/2206.15134 (2022) - [i3]Dong Zhang, Yi Lin, Hao Chen, Zhuotao Tian, Xin Yang, Jinhui Tang, Kwang-Ting Cheng
:
Deep Learning for Medical Image Segmentation: Tricks, Challenges and Future Directions. CoRR abs/2209.10307 (2022) - 2021
- [i2]Yi Lin, Jianchao Su, Xiang Wang, Xiang Li, Jingen Liu, Kwang-Ting Cheng, Xin Yang:
Automated Pulmonary Embolism Detection from CTPA Images Using an End-to-End Convolutional Neural Network. CoRR abs/2111.05506 (2021) - 2020
- [j3]Zhiwei Wang, Yi Lin, Kwang-Ting (Tim) Cheng
, Xin Yang
:
Semi-supervised mp-MRI data synthesis with StitchLayer and auxiliary distance maximization. Medical Image Anal. 59 (2020) - [j2]Xin Yang
, Yi Lin
, Zhiwei Wang
, Xin Li, Kwang-Ting Cheng
:
Bi-Modality Medical Image Synthesis Using Semi-Supervised Sequential Generative Adversarial Networks. IEEE J. Biomed. Health Informatics 24(3): 855-865 (2020)
2010 – 2019
- 2019
- [j1]Xin Yang, Yi Lin, Jianchao Su, Xiang Wang, Xiang Li, Jingen Lin, Kwang-Ting Cheng
:
A Two-Stage Convolutional Neural Network for Pulmonary Embolism Detection From CTPA Images. IEEE Access 7: 84849-84857 (2019) - [c3]Yi Lin, Hong-Yu Zhou
, Kai Ma, Xin Yang, Yefeng Zheng
:
Seg4Reg Networks for Automated Spinal Curvature Estimation. CSI@MICCAI 2019: 69-74 - [c2]Yi Lin, Jianchao Su, Xiang Wang, Xiang Li, Jingen Liu, Kwang-Ting Cheng
, Xin Yang:
Automated Pulmonary Embolism Detection from CTPA Images Using an End-to-End Convolutional Neural Network. MICCAI (4) 2019: 280-288 - 2018
- [c1]Zhiwei Wang, Yi Lin, Chunyuan Liao, Kwang-Ting Cheng, Xin Yang:
StitchAD-GAN for Synthesizing Apparent Diffusion Coefficient Images of Clinically Significant Prostate Cancer. BMVC 2018: 240 - [i1]Zhiwei Wang, Yi Lin, Kwang-Ting Cheng, Xin Yang:
Semi-supervised mp-MRI Data Synthesis with StitchLayer and Auxiliary Distance Maximization. CoRR abs/1812.06625 (2018)
Coauthor Index
aka: Kwang-Ting (Tim) Cheng
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