Ke Yan

115 papers A* 11Journal 69Unranked 34
YearRankTypeTitle / Venue / Authors
2026 A* conf
MUSE: Multi-Scale Dense Self-Distillation for Nucleus Detection and Classification.
AAAI
Zijiang Yang, Hanqing Chao, Bokai Zhao, Yelin Yang, Yunshuo Zhang, Dongmei Fu, Junping Zhang, Le Lu, Ke Yan, Dakai Jin, Minfeng Xu, Yun Bian, Hui Jiang
2026 J jnl
Non-contrast CT esophageal varices grading through clinical prior-enhanced multi-organ analysis.
Medical Image Anal.
Xiaoming Zhang, Chunli Li, Jiacheng Hao, Yuan Gao, Danyang Tu, Jianyi Qiao, Xiaoli Yin, Le Lu, Ling Zhang, Ke Yan, Yang Hou, Yu Shi
2026 J jnl
TumorChain: Interleaved Multimodal Chain-of-Thought Reasoning for Traceable Clinical Tumor Analysis.
CoRR
Sijing Li, Zhongwei Qiu, Jiang Liu, Wenqiao Zhang, Tianwei Lin, Yihan Xie, Jianxiang An, Boxiang Yun, Chenglin Yang, Jun Xiao, Guangyu Guo, Jiawen Yao, Wei Liu, Yuan Gao, Ke Yan, Weiwei Cao, Zhilin Zheng, Tony C. W. Mok, Kai Cao, Yu Shi, Jiuyu Zhang, Jian Zhou, Beng Chin Ooi, Yingda Xia, Ling Zhang
2025 J jnl
A Continual Learning-driven Model for Accurate and Generalizable Segmentation of Clinically Comprehensive and Fine-grained Whole-body Anatomies in CT.
CoRR
Dazhou Guo, Zhanghexuan Ji, Yanzhou Su, Dandan Zheng, Heng Guo, Puyang Wang, Ke Yan, Yirui Wang, Qinji Yu, Zi Li, Minfeng Xu, Jianfeng Zhang, Haoshen Li, Jia Ge, Tsung-Ying Ho, Bing-shen Huang, Tashan Ai, Kuaile Zhao, Na Shen, Qifeng Wang, Yun Bian, Tingyu Wu, Peng Du, Hua Zhang, Feng-Ming (Spring) Kong, Alan L. Yuille, Cher Heng Tan, Chunyan Miao, Perry J. Pickhardt, Senxiang Yan, Ronald M. Summers, Le Lu, Dakai Jin, Xianghua Ye
2025 J jnl
DistAL: A Domain-Shift Active Learning Framework With Transferable Feature Learning for Lesion Detection.
IEEE Trans. Medical Imaging
Fan Bai, Ran Wei, Xiaoyu Bai, Dakai Jin, Xianghua Ye, Le Lu, Ke Yan, Max Q.-H. Meng
2025 J jnl
From Slices to Sequences: Autoregressive Tracking Transformer for Cohesive and Consistent 3D Lymph Node Detection in CT Scans.
CoRR
Qinji Yu, Yirui Wang, Ke Yan, Dandan Zheng, Dashan Ai, Dazhou Guo, Zhanghexuan Ji, Yanzhou Su, Yun Bian, Na Shen, Xiaowei Ding, Le Lu, Xianghua Ye, Dakai Jin
2025 J jnl
HarmonySeg: Tubular Structure Segmentation with Deep-Shallow Feature Fusion and Growth-Suppression Balanced Loss.
CoRR
Yi Huang, Ke Zhang, Wei Liu, Yuanyuan Wang, Vishal M. Patel, Le Lu, Xu Han, Dakai Jin, Ke Yan
2025 — conf
Lymphoma Prognosis with Lesion-Anatomy Context Fusion and Attention-Based Multi-lesion Aggregation.
MICCAI (1)
Song Zhang, Jiajin Zhang, Liheng Qiu, Wei Liu, Dakai Jin, Le Lu, Shenmiao Yang, Ke Yan
2025 J jnl
MUSE: Multi-Scale Dense Self-Distillation for Nucleus Detection and Classification.
CoRR
Zijiang Yang, Hanqing Chao, Bokai Zhao, Yelin Yang, Yunshuo Zhang, Dongmei Fu, Junping Zhang, Le Lu, Ke Yan, Dakai Jin, Minfeng Xu, Yun Bian, Hui Jiang
2025 J jnl
Med-Query: Steerable Parsing of 9-DoF Medical Anatomies With Query Embedding.
IEEE J. Biomed. Health Informatics
Heng Guo, Jianfeng Zhang, Ke Yan, Le Lu, Minfeng Xu
2025 — conf
Metastatic Lymph Node Station Classification in Esophageal Cancer via Prior-Guided Supervision and Station-Aware Mixture-of-Experts.
MICCAI (13)
Haoshen Li, Yirui Wang, Qinji Yu, Jie Zhu, Ke Yan, Dazhou Guo, Le Lu, Bin Dong, Li Zhang, Xianghua Ye, Qifeng Wang, Dakai Jin
2025 J jnl
Non-Contrast CT Esophageal Varices Grading through Clinical Prior-Enhanced Multi-Organ Analysis.
CoRR
Xiaoming Zhang, Chunli Li, Jiacheng Hao, Yuan Gao, Danyang Tu, Jianyi Qiao, Xiaoli Yin, Le Lu, Ling Zhang, Ke Yan, Yang Hou, Yu Shi
2025 J jnl
PLUS: Plug-and-Play Enhanced Liver Lesion Diagnosis Model on Non-Contrast CT Scans.
CoRR
Jiacheng Hao, Xiaoming Zhang, Wei Liu, Xiaoli Yin, Yuan Gao, Chunli Li, Ling Zhang, Le Lu, Yu Shi, Xu Han, Ke Yan
2025 — conf
PLUS: Plug-and-Play Enhanced Liver Lesion Diagnosis Model on Non-contrast CT Scans.
MICCAI (15)
Jiacheng Hao, Xiaoming Zhang, Wei Liu, Xiaoli Yin, Yuan Gao, Chunli Li, Ling Zhang, Le Lu, Yu Shi, Xu Han, Ke Yan
2025 J jnl
TARDis: Time Attenuated Representation Disentanglement for Incomplete Multi-Modal Tumor Segmentation and Classification.
CoRR
Zishuo Wan, Qinqin Kang, Na Li, Yi Huang, Qianru Zhang, Le Lu, Yun Bian, Dawei Ding, Ke Yan
2025 A* conf
Towards a Comprehensive, Efficient and Promptable Anatomic Structure Segmentation Model Using 3D Whole-Body CT Scans.
AAAI
Heng Guo, Jianfeng Zhang, Jiaxing Huang, Tony C. W. Mok, Dazhou Guo, Ke Yan, Le Lu, Dakai Jin, Minfeng Xu
2025 J jnl
UAE: Universal Anatomical Embedding on multi-modality medical images.
Medical Image Anal.
Xiaoyu Bai, Fan Bai, Xiaofei Huo, Jia Ge, Jingjing Lu, Xianghua Ye, Minglei Shu, Ke Yan, Yong Xia
2024 J jnl
CT-GLIP: 3D Grounded Language-Image Pretraining with CT Scans and Radiology Reports for Full-Body Scenarios.
CoRR
Jingyang Lin, Yingda Xia, Jianpeng Zhang, Ke Yan, Le Lu, Jiebo Luo, Ling Zhang
2024 A* conf
CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data.
CVPR
Wei Fang, Yuxing Tang, Heng Guo, Mingze Yuan, Tony C. W. Mok, Ke Yan, Jiawen Yao, Xin Chen, Zaiyi Liu, Le Lu, Ling Zhang, Minfeng Xu
2024 J jnl
CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data.
CoRR
Wei Fang, Yuxing Tang, Heng Guo, Mingze Yuan, Tony C. W. Mok, Ke Yan, Jiawen Yao, Xin Chen, Zaiyi Liu, Le Lu, Ling Zhang, Minfeng Xu
2024 — conf
Effective Lymph Nodes Detection in CT Scans Using Location Debiased Query Selection and Contrastive Query Representation in Transformer.
ECCV (42)
Qinji Yu, Yirui Wang, Ke Yan, Haoshen Li, Dazhou Guo, Li Zhang, Na Shen, Qifeng Wang, Xiaowei Ding, Le Lu, Xianghua Ye, Dakai Jin
2024 J jnl
Effective Lymph Nodes Detection in CT Scans Using Location Debiased Query Selection and Contrastive Query Representation in Transformer.
CoRR
Qinji Yu, Yirui Wang, Ke Yan, Haoshen Li, Dazhou Guo, Li Zhang, Le Lu, Na Shen, Qifeng Wang, Xiaowei Ding, Xianghua Ye, Dakai Jin
2024 J jnl
From Histopathology Images to Cell Clouds: Learning Slide Representations with Hierarchical Cell Transformer.
CoRR
Zijiang Yang, Zhongwei Qiu, Tiancheng Lin, Hanqing Chao, Wanxing Chang, Yelin Yang, Yunshuo Zhang, Wenpei Jiao, Yixuan Shen, Wenbin Liu, Dongmei Fu, Dakai Jin, Ke Yan, Le Lu, Hui Jiang, Yun Bian
2024 J jnl
From Pixels to Gigapixels: Bridging Local Inductive Bias and Long-Range Dependencies with Pixel-Mamba.
CoRR
Zhongwei Qiu, Hanqing Chao, Tiancheng Lin, Wanxing Chang, Zijiang Yang, Wenpei Jiao, Yixuan Shen, Yunshuo Zhang, Yelin Yang, Wenbin Liu, Hui Jiang, Yun Bian, Ke Yan, Dakai Jin, Le Lu
2024 — conf
IHCSurv: Effective Immunohistochemistry Priors for Cancer Survival Analysis in Gigapixel Multi-stain Whole Slide Images.
MICCAI (4)
Yejia Zhang, Hanqing Chao, Zhongwei Qiu, Wenbin Liu, Yixuan Shen, Nishchal Sapkota, Pengfei Gu, Danny Z. Chen, Le Lu, Ke Yan, Dakai Jin, Yun Bian, Hui Jiang
2024 J jnl
Improved Esophageal Varices Assessment from Non-Contrast CT Scans.
CoRR
Chunli Li, Xiaoming Zhang, Yuan Gao, Xiaoli Yin, Le Lu, Ling Zhang, Ke Yan, Yu Shi
2024 — conf
Improved Esophageal Varices Assessment from Non-contrast CT Scans.
MICCAI (5)
Chunli Li, Xiaoming Zhang, Yuan Gao, Xiaoli Yin, Le Lu, Ling Zhang, Ke Yan, Yu Shi
2024 — conf
LIDIA: Precise Liver Tumor Diagnosis on Multi-Phase Contrast-Enhanced CT via Iterative Fusion and Asymmetric Contrastive Learning.
MICCAI (9)
Wei Huang, Wei Liu, Xiaoming Zhang, Xiaoli Yin, Xu Han, Chunli Li, Yuan Gao, Yu Shi, Le Lu, Ling Zhang, Lei Zhang, Ke Yan
2024 J jnl
LIDIA: Precise Liver Tumor Diagnosis on Multi-Phase Contrast-Enhanced CT via Iterative Fusion and Asymmetric Contrastive Learning.
CoRR
Wei Huang, Wei Liu, Xiaoming Zhang, Xiaoli Yin, Xu Han, Chunli Li, Yuan Gao, Yu Shi, Le Lu, Ling Zhang, Lei Zhang, Ke Yan
2024 A* conf
Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration.
CVPR
Tony C. W. Mok, Zi Li, Yunhao Bai, Jianpeng Zhang, Wei Liu, Yan-Jie Zhou, Ke Yan, Dakai Jin, Yu Shi, Xiaoli Yin, Le Lu, Ling Zhang
2024 J jnl
Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration.
CoRR
Tony C. W. Mok, Zi Li, Yunhao Bai, Jianpeng Zhang, Wei Liu, Yan-Jie Zhou, Ke Yan, Dakai Jin, Yu Shi, Xiaoli Yin, Le Lu, Ling Zhang
2024 — conf
Semi-supervised Lymph Node Metastasis Classification with Pathology-Guided Label Sharpening and Two-Streamed Multi-scale Fusion.
MICCAI (11)
Haoshen Li, Yirui Wang, Jie Zhu, Dazhou Guo, Qinji Yu, Ke Yan, Le Lu, Xianghua Ye, Li Zhang, Qifeng Wang, Dakai Jin
2024 — conf
Slice-Consistent Lymph Nodes Detection Transformer in CT Scans via Cross-Slice Query Contrastive Learning.
MICCAI (5)
Qinji Yu, Yirui Wang, Ke Yan, Le Lu, Na Shen, Xianghua Ye, Xiaowei Ding, Dakai Jin
2024 J jnl
Towards a Comprehensive, Efficient and Promptable Anatomic Structure Segmentation Model using 3D Whole-body CT Scans.
CoRR
Heng Guo, Jianfeng Zhang, Jiaxing Huang, Tony C. W. Mok, Dazhou Guo, Ke Yan, Le Lu, Dakai Jin, Minfeng Xu
2023 J jnl
A Cascaded Approach for ultraly High Performance Lesion Detection and False Positive Removal in Liver CT Scans.
CoRR
Fakai Wang, Chi-Tung Cheng, Chien-Wei Peng, Ke Yan, Min Wu, Le Lu, Chien-Hung Liao, Ling Zhang
2023 A* conf
Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image Analysis.
ICCV
Yankai Jiang, Mingze Sun, Heng Guo, Xiaoyu Bai, Ke Yan, Le Lu, Minfeng Xu
2023 J jnl
Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image Segmentation.
CoRR
Yankai Jiang, Mingze Sun, Heng Guo, Ke Yan, Le Lu, Minfeng Xu
2023 — conf
Anatomy-Aware Lymph Node Detection in Chest CT Using Implicit Station Stratification.
MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI
Ke Yan, Dakai Jin, Dazhou Guo, Minfeng Xu, Na Shen, Xian-Sheng Hua, Xianghua Ye, Le Lu
2023 J jnl
Anatomy-Aware Lymph Node Detection in Chest CT using Implicit Station Stratification.
CoRR
Ke Yan, Dakai Jin, Dazhou Guo, Minfeng Xu, Na Shen, Xian-Sheng Hua, Xianghua Ye, Le Lu
2023 A* conf
CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans.
ICCV
Jieneng Chen, Yingda Xia, Jiawen Yao, Ke Yan, Jianpeng Zhang, Le Lu, Fakai Wang, Bo Zhou, Mingyan Qiu, Qihang Yu, Mingze Yuan, Wei Fang, Yuxing Tang, Minfeng Xu, Jian Zhou, Yuqian Zhao, Qifeng Wang, Xianghua Ye, Xiaoli Yin, Yu Shi, Xin Chen, Jingren Zhou, Alan L. Yuille, Zaiyi Liu, Ling Zhang
2023 J jnl
Continual Segment: Towards a Single, Unified and Accessible Continual Segmentation Model of 143 Whole-body Organs in CT Scans.
CoRR
Zhanghexuan Ji, Dazhou Guo, Puyang Wang, Ke Yan, Le Lu, Minfeng Xu, Jingren Zhou, Qifeng Wang, Jia Ge, Mingchen Gao, Xianghua Ye, Dakai Jin
2023 A* conf
Continual Segment: Towards a Single, Unified and Non-forgetting Continual Segmentation Model of 143 Whole-body Organs in CT Scans.
ICCV
Zhanghexuan Ji, Dazhou Guo, Puyang Wang, Ke Yan, Le Lu, Minfeng Xu, Qifeng Wang, Jia Ge, Mingchen Gao, Xianghua Ye, Dakai Jin
2023 A* conf
Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization.
CVPR
Mingze Yuan, Yingda Xia, Hexin Dong, Zifan Chen, Jiawen Yao, Mingyan Qiu, Ke Yan, Xiaoli Yin, Yu Shi, Xin Chen, Zaiyi Liu, Bin Dong, Jingren Zhou, Le Lu, Ling Zhang, Li Zhang
2023 J jnl
Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization.
CoRR
Mingze Yuan, Yingda Xia, Hexin Dong, Zifan Chen, Jiawen Yao, Mingyan Qiu, Ke Yan, Xiaoli Yin, Yu Shi, Xin Chen, Zaiyi Liu, Bin Dong, Jingren Zhou, Le Lu, Ling Zhang, Li Zhang
2023 — conf
Div-Attention: A Plug-and-Play Module for 3D Medical Image Segmentation.
ISBI
Zhishan Jiang, Ke Yan, Le Lu, Minfeng Xu
2023 — conf
Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient Network.
MICCAI (5)
Ke Yan, Xiaoli Yin, Yingda Xia, Fakai Wang, Shu Wang, Yuan Gao, Jiawen Yao, Chunli Li, Xiaoyu Bai, Jingren Zhou, Ling Zhang, Le Lu, Yu Shi
2023 J jnl
Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient Network.
CoRR
Ke Yan, Xiaoli Yin, Yingda Xia, Fakai Wang, Shu Wang, Yuan Gao, Jiawen Yao, Chunli Li, Xiaoyu Bai, Jingren Zhou, Ling Zhang, Le Lu, Yu Shi
2023 J jnl
Matching in the Wild: Learning Anatomical Embeddings for Multi-Modality Images.
CoRR
Xiaoyu Bai, Fan Bai, Xiaofei Huo, Jia Ge, Tony C. W. Mok, Zi Li, Minfeng Xu, Jingren Zhou, Le Lu, Dakai Jin, Xianghua Ye, Jingjing Lu, Ke Yan
2023 — conf
SAMConvex: Fast Discrete Optimization for CT Registration Using Self-supervised Anatomical Embedding and Correlation Pyramid.
MICCAI (10)
Zi Li, Lin Tian, Tony C. W. Mok, Xiaoyu Bai, Puyang Wang, Jia Ge, Jingren Zhou, Le Lu, Xianghua Ye, Ke Yan, Dakai Jin
2023 J jnl
SAMConvex: Fast Discrete Optimization for CT Registration using Self-supervised Anatomical Embedding and Correlation Pyramid.
CoRR
Zi Li, Lin Tian, Tony C. W. Mok, Xiaoyu Bai, Puyang Wang, Jia Ge, Jingren Zhou, Le Lu, Xianghua Ye, Ke Yan, Dakai Jin
2023 J jnl
SAME++: A Self-supervised Anatomical eMbeddings Enhanced medical image registration framework using stable sampling and regularized transformation.
CoRR
Lin Tian, Zi Li, Fengze Liu, Xiaoyu Bai, Jia Ge, Le Lu, Marc Niethammer, Xianghua Ye, Ke Yan, Dakai Jin
2023 J jnl
SAMv2: A Unified Framework for Learning Appearance, Semantic and Cross-Modality Anatomical Embeddings.
CoRR
Xiaoyu Bai, Fan Bai, Xiaofei Huo, Jia Ge, Jingjing Lu, Xianghua Ye, Ke Yan, Yong Xia
2023 — conf
SLPT: Selective Labeling Meets Prompt Tuning on Label-Limited Lesion Segmentation.
MICCAI (2)
Fan Bai, Ke Yan, Xiaoyu Bai, Xinyu Mao, Xiaoli Yin, Jingren Zhou, Yu Shi, Le Lu, Max Q.-H. Meng
2023 J jnl
SLPT: Selective Labeling Meets Prompt Tuning on Label-Limited Lesion Segmentation.
CoRR
Fan Bai, Ke Yan, Xiaoyu Bai, Xinyu Mao, Xiaoli Yin, Jingren Zhou, Yu Shi, Le Lu, Max Q.-H. Meng
2023 J jnl
Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans.
CoRR
Jieneng Chen, Yingda Xia, Jiawen Yao, Ke Yan, Jianpeng Zhang, Le Lu, Fakai Wang, Bo Zhou, Mingyan Qiu, Qihang Yu, Mingze Yuan, Wei Fang, Yuxing Tang, Minfeng Xu, Jian Zhou, Yuqian Zhao, Qifeng Wang, Xianghua Ye, Xiaoli Yin, Yu Shi, Xin Chen, Jingren Zhou, Alan L. Yuille, Zaiyi Liu, Ling Zhang
2022 J jnl
A New Probabilistic V-Net Model with Hierarchical Spatial Feature Transform for Efficient Abdominal Multi-Organ Segmentation.
CoRR
Minfeng Xu, Heng Guo, Jianfeng Zhang, Ke Yan, Le Lu
2022 — conf
Effective Opportunistic Esophageal Cancer Screening Using Noncontrast CT Imaging.
MICCAI (3)
Jiawen Yao, Xianghua Ye, Yingda Xia, Jian Zhou, Yu Shi, Ke Yan, Fang Wang, Lili Lin, Haogang Yu, Xian-Sheng Hua, Le Lu, Dakai Jin, Ling Zhang
2022 J jnl
Med-Query: Steerable Parsing of 9-DoF Medical Anatomies with Query Embedding.
CoRR
Heng Guo, Jianfeng Zhang, Ke Yan, Le Lu, Minfeng Xu
2022 J jnl
SAM: Self-Supervised Learning of Pixel-Wise Anatomical Embeddings in Radiological Images.
IEEE Trans. Medical Imaging
Ke Yan, Jinzheng Cai, Dakai Jin, Shun Miao, Dazhou Guo, Adam P. Harrison, Youbao Tang, Jing Xiao, Jingjing Lu, Le Lu
2022 — conf
Thoracic Lymph Node Segmentation in CT Imaging via Lymph Node Station Stratification and Size Encoding.
MICCAI (5)
Dazhou Guo, Jia Ge, Ke Yan, Puyang Wang, Zhuotun Zhu, Dandan Zheng, Xian-Sheng Hua, Le Lu, Tsung-Ying Ho, Xianghua Ye, Dakai Jin
2021 J jnl
Accurate and Generalizable Quantitative Scoring of Liver Steatosis from Ultrasound Images via Scalable Deep Learning.
CoRR
Bowen Li, Dar-In Tai, Ke Yan, Yi-Cheng Chen, Shiu-Feng Huang, Tse-Hwa Hsu, Wan-Ting Yu, Jing Xiao, Le Lu, Adam P. Harrison
2021 A* conf
Deep Lesion Tracker: Monitoring Lesions in 4D Longitudinal Imaging Studies.
CVPR
Jinzheng Cai, Youbao Tang, Ke Yan, Adam P. Harrison, Jing Xiao, Gigin Lin, Le Lu
2021 J jnl
Learning From Multiple Datasets With Heterogeneous and Partial Labels for Universal Lesion Detection in CT.
IEEE Trans. Medical Imaging
Ke Yan, Jinzheng Cai, Youjing Zheng, Adam P. Harrison, Dakai Jin, Youbao Tang, Yuxing Tang, Lingyun Huang, Jing Xiao, Le Lu
2021 — conf
Learning from Subjective Ratings Using Auto-Decoded Deep Latent Embeddings.
MICCAI (5)
Bowen Li, Xinping Ren, Ke Yan, Le Lu, Lingyun Huang, Guotong Xie, Jing Xiao, Dar-In Tai, Adam P. Harrison
2021 J jnl
Learning from Subjective Ratings Using Auto-Decoded Deep Latent Embeddings.
CoRR
Bowen Li, Xinping Ren, Ke Yan, Le Lu, Guotong Xie, Jing Xiao, Dar-In Tai, Adam P. Harrison
2021 — conf
Lesion Segmentation and RECIST Diameter Prediction via Click-Driven Attention and Dual-Path Connection.
MICCAI (2)
Youbao Tang, Ke Yan, Jinzheng Cai, Lingyun Huang, Guotong Xie, Jing Xiao, Jingjing Lu, Gigin Lin, Le Lu
2021 J jnl
Lesion Segmentation and RECIST Diameter Prediction via Click-driven Attention and Dual-path Connection.
CoRR
Youbao Tang, Ke Yan, Jinzheng Cai, Lingyun Huang, Guotong Xie, Jing Xiao, Jingjing Lu, Gigin Lin, Le Lu
2021 J jnl
Lesion-Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at Scale.
IEEE Trans. Medical Imaging
Jinzheng Cai, Adam P. Harrison, Youjing Zheng, Ke Yan, Yuankai Huo, Jing Xiao, Lin Yang, Le Lu
2021 — conf
SAME: Deformable Image Registration Based on Self-supervised Anatomical Embeddings.
MICCAI (4)
Fengze Liu, Ke Yan, Adam P. Harrison, Dazhou Guo, Le Lu, Alan L. Yuille, Lingyun Huang, Guotong Xie, Jing Xiao, Xianghua Ye, Dakai Jin
2021 J jnl
SAME: Deformable Image Registration based on Self-supervised Anatomical Embeddings.
CoRR
Fengze Liu, Ke Yan, Adam P. Harrison, Dazhou Guo, Le Lu, Alan L. Yuille, Lingyun Huang, Guotong Xie, Jing Xiao, Xianghua Ye, Dakai Jin
2021 — conf
Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining.
MICCAI (7)
Jieneng Chen, Ke Yan, Yu-Dong Zhang, Youbao Tang, Xun Xu, Shuwen Sun, Qiuping Liu, Lingyun Huang, Jing Xiao, Alan L. Yuille, Ya Zhang, Le Lu
2021 J jnl
Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining.
CoRR
Jieneng Chen, Ke Yan, Yu-Dong Zhang, Youbao Tang, Xun Xu, Shuwen Sun, Qiuping Liu, Lingyun Huang, Jing Xiao, Alan L. Yuille, Ya Zhang, Le Lu
2021 — conf
Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss.
MICCAI (2)
Youbao Tang, Jinzheng Cai, Ke Yan, Lingyun Huang, Guotong Xie, Jing Xiao, Jingjing Lu, Gigin Lin, Le Lu
2021 J jnl
Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss.
CoRR
Youbao Tang, Jinzheng Cai, Ke Yan, Lingyun Huang, Guotong Xie, Jing Xiao, Jingjing Lu, Gigin Lin, Le Lu
2020 J jnl
Automated abnormality classification of chest radiographs using deep convolutional neural networks.
npj Digit. Medicine
Yuxing Tang, Youbao Tang, Yifan Peng, Ke Yan, Mohammadhadi Bagheri, Bernadette A. Redd, Catherine J. Brandon, Zhiyong Lu, Mei Han, Jing Xiao, Ronald M. Summers
2020 J jnl
Deep Lesion Tracker: Monitoring Lesions in 4D Longitudinal Imaging Studies.
CoRR
Jinzheng Cai, Youbao Tang, Ke Yan, Adam P. Harrison, Jing Xiao, Gigin Lin, Le Lu
2020 — conf
Deep Volumetric Universal Lesion Detection Using Light-Weight Pseudo 3D Convolution and Surface Point Regression.
MICCAI (4)
Jinzheng Cai, Ke Yan, Chi-Tung Cheng, Jing Xiao, Chien-Hung Liao, Le Lu, Adam P. Harrison
2020 J jnl
Deep Volumetric Universal Lesion Detection using Light-Weight Pseudo 3D Convolution and Surface Point Regression.
CoRR
Jinzheng Cai, Ke Yan, Chi-Tung Cheng, Jing Xiao, Chien-Hung Liao, Le Lu, Adam P. Harrison
2020 J jnl
Detecting Scatteredly-Distributed, Small, andCritically Important Objects in 3D OncologyImaging via Decision Stratification.
CoRR
Zhuotun Zhu, Ke Yan, Dakai Jin, Jinzheng Cai, Tsung-Ying Ho, Adam P. Harrison, Dazhou Guo, Chun-Hung Chao, Xianghua Ye, Jing Xiao, Alan L. Yuille, Le Lu
2020 J jnl
Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning.
CoRR
Yuankai Huo, Jinzheng Cai, Chi-Tung Cheng, Ashwin Raju, Ke Yan, Bennett A. Landman, Jing Xiao, Le Lu, Chien-Hung Liao, Adam P. Harrison
2020 J jnl
Learning from Multiple Datasets with Heterogeneous and Partial Labels for Universal Lesion Detection in CT.
CoRR
Ke Yan, Jinzheng Cai, Youjing Zheng, Adam P. Harrison, Dakai Jin, Youvao Tang, Yuxing Tang, Lingyun Huang, Jing Xiao, Le Lu
2020 J jnl
Lesion Harvester: Iteratively Mining Unlabeled Lesions and Hard-Negative Examples at Scale.
CoRR
Jinzheng Cai, Adam P. Harrison, Youjing Zheng, Ke Yan, Yuankai Huo, Jing Xiao, Lin Yang, Le Lu
2020 — conf
Lymph Node Gross Tumor Volume Detection and Segmentation via Distance-Based Gating Using 3D CT/PET Imaging in Radiotherapy.
MICCAI (7)
Zhuotun Zhu, Dakai Jin, Ke Yan, Tsung-Ying Ho, Xianghua Ye, Dazhou Guo, Chun-Hung Chao, Jing Xiao, Alan L. Yuille, Le Lu
2020 J jnl
Lymph Node Gross Tumor Volume Detection and Segmentation via Distance-based Gating using 3D CT/PET Imaging in Radiotherapy.
CoRR
Zhuotun Zhu, Dakai Jin, Ke Yan, Tsung-Ying Ho, Xianghua Ye, Dazhou Guo, Chun-Hung Chao, Jing Xiao, Alan L. Yuille, Le Lu
2020 — conf
Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network.
MICCAI (7)
Chun-Hung Chao, Zhuotun Zhu, Dazhou Guo, Ke Yan, Tsung-Ying Ho, Jinzheng Cai, Adam P. Harrison, Xianghua Ye, Jing Xiao, Alan L. Yuille, Min Sun, Le Lu, Dakai Jin
2020 J jnl
Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network.
CoRR
Chun-Hung Chao, Zhuotun Zhu, Dazhou Guo, Ke Yan, Tsung-Ying Ho, Jinzheng Cai, Adam P. Harrison, Xianghua Ye, Jing Xiao, Alan L. Yuille, Min Sun, Le Lu, Dakai Jin
2020 — conf
One Click Lesion RECIST Measurement and Segmentation on CT Scans.
MICCAI (4)
Youbao Tang, Ke Yan, Jing Xiao, Ronald M. Summers
2020 J jnl
One Click Lesion RECIST Measurement and Segmentation on CT Scans.
CoRR
Youbao Tang, Ke Yan, Jing Xiao, Ronald M. Summers
2020 — conf
Reliable Liver Fibrosis Assessment from Ultrasound Using Global Hetero-Image Fusion and View-Specific Parameterization.
MICCAI (3)
Bowen Li, Ke Yan, Dar-In Tai, Yuankai Huo, Le Lu, Jing Xiao, Adam P. Harrison
2020 J jnl
Reliable Liver Fibrosis Assessment from Ultrasound using Global Hetero-Image Fusion and View-Specific Parameterization.
CoRR
Bowen Li, Ke Yan, Dar-In Tai, Yuankai Huo, Le Lu, Jing Xiao, Adam P. Harrison
2020 J jnl
Self-supervised Learning of Pixel-wise Anatomical Embeddings in Radiological Images.
CoRR
Ke Yan, Jinzheng Cai, Dakai Jin, Shun Miao, Adam P. Harrison, Dazhou Guo, Youbao Tang, Jing Xiao, Jingjing Lu, Le Lu
2020 J jnl
Universal Lesion Detection by Learning from Multiple Heterogeneously Labeled Datasets.
CoRR
Ke Yan, Jinzheng Cai, Adam P. Harrison, Dakai Jin, Jing Xiao, Le Lu
2019 — conf
A self-attention based deep learning method for lesion attribute detection from CT reports.
ICHI
Yifan Peng, Ke Yan, Veit Sandfort, Ronald M. Summers, Zhiyong Lu
2019 J jnl
A self-attention based deep learning method for lesion attribute detection from CT reports.
CoRR
Yifan Peng, Ke Yan, Veit Sandfort, Ronald M. Summers, Zhiyong Lu
2019 — ch.
Deep Lesion Graph in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database.
Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics
Ke Yan, Xiaosong Wang, Le Lu, Ling Zhang, Adam P. Harrison, Mohammadhadi Bagheri, Ronald M. Summers
2019 — conf
Fine-Grained Lesion Annotation in CT Images With Knowledge Mined From Radiology Reports.
ISBI
Ke Yan, Yifan Peng, Zhiyong Lu, Ronald M. Summers
2019 J jnl
Fine-grained lesion annotation in CT images with knowledge mined from radiology reports.
CoRR
Ke Yan, Yifan Peng, Zhiyong Lu, Ronald M. Summers
2019 A* conf
Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning From Radiology Reports and Label Ontology.
CVPR
Ke Yan, Yifan Peng, Veit Sandfort, Mohammadhadi Bagheri, Zhiyong Lu, Ronald M. Summers
2019 J jnl
Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning from Radiology Reports and Label Ontology.
CoRR
Ke Yan, Yifan Peng, Veit Sandfort, Mohammadhadi Bagheri, Zhiyong Lu, Ronald M. Summers
2019 — conf
MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation.
MICCAI (6)
Ke Yan, Youbao Tang, Yifan Peng, Veit Sandfort, Mohammadhadi Bagheri, Zhiyong Lu, Ronald M. Summers
2019 J jnl
MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation.
CoRR
Ke Yan, Youbao Tang, Yifan Peng, Veit Sandfort, Mohammadhadi Bagheri, Zhiyong Lu, Ronald M. Summers
2019 J jnl
ULDor: A Universal Lesion Detector for CT Scans with Pseudo Masks and Hard Negative Example Mining.
CoRR
Youbao Tang, Ke Yan, Yuxing Tang, Jiamin Liu, Jing Xiao, Ronald M. Summers
2019 — conf
Uldor: A Universal Lesion Detector For Ct Scans With Pseudo Masks And Hard Negative Example Mining.
ISBI
Youbao Tang, Ke Yan, Yuxing Tang, Jiamin Liu, Jin Xiao, Ronald M. Summers
2018 — conf
3D Context Enhanced Region-Based Convolutional Neural Network for End-to-End Lesion Detection.
MICCAI (1)
Ke Yan, Mohammadhadi Bagheri, Ronald M. Summers
2018 J jnl
3D Context Enhanced Region-based Convolutional Neural Network for End-to-End Lesion Detection.
CoRR
Ke Yan, Mohammadhadi Bagheri, Ronald M. Summers
2018 J jnl
Accurate Weakly Supervised Deep Lesion Segmentation on CT Scans: Self-Paced 3D Mask Generation from RECIST.
CoRR
Jinzheng Cai, Youbao Tang, Le Lu, Adam P. Harrison, Ke Yan, Jing Xiao, Lin Yang, Ronald M. Summers
2018 — conf
Accurate Weakly-Supervised Deep Lesion Segmentation Using Large-Scale Clinical Annotations: Slice-Propagated 3D Mask Generation from 2D RECIST.
MICCAI (4)
Jinzheng Cai, Youbao Tang, Le Lu, Adam P. Harrison, Ke Yan, Jing Xiao, Lin Yang, Ronald M. Summers
2018 J jnl
Accurate Weakly-Supervised Deep Lesion Segmentation using Large-Scale Clinical Annotations: Slice-Propagated 3D Mask Generation from 2D RECIST.
CoRR
Jinzheng Cai, Youbao Tang, Le Lu, Adam P. Harrison, Ke Yan, Jing Xiao, Lin Yang, Ronald M. Summers
2018 — conf
CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement.
MLMI@MICCAI
Youbao Tang, Jinzheng Cai, Le Lu, Adam P. Harrison, Ke Yan, Jing Xiao, Lin Yang, Ronald M. Summers
2018 J jnl
CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement.
CoRR
Youbao Tang, Jinzheng Cai, Le Lu, Adam P. Harrison, Ke Yan, Jing Xiao, Lin Yang, Ronald M. Summers
2018 A* conf
Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database.
CVPR
Ke Yan, Xiaosong Wang, Le Lu, Ling Zhang, Adam P. Harrison, Mohammadhadi Bagheri, Ronald M. Summers
2018 — conf
Unsupervised body part regression via spatially self-ordering convolutional neural networks.
ISBI
Ke Yan, Le Lu, Ronald M. Summers
2017 J jnl
Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-scale Lesion Database.
CoRR
Ke Yan, Xiaosong Wang, Le Lu, Ling Zhang, Adam P. Harrison, Mohammadhadi Bagheri, Ronald M. Summers
2017 J jnl
DeepLesion: Automated Deep Mining, Categorization and Detection of Significant Radiology Image Findings using Large-Scale Clinical Lesion Annotations.
CoRR
Ke Yan, Xiaosong Wang, Le Lu, Ronald M. Summers
2017 J jnl
Unsupervised body part regression using convolutional neural network with self-organization.
CoRR
Ke Yan, Le Lu, Ronald M. Summers