| 2026 | AAAI | MUSE: Multi-Scale Dense Self-Distillation for Nucleus Detection and Classification. | 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 | AAAI | Towards a Comprehensive, Efficient and Promptable Anatomic Structure Segmentation Model Using 3D Whole-Body CT Scans. | Heng Guo, Jianfeng Zhang, Jiaxing Huang, Tony C. W. Mok, Dazhou Guo, Ke Yan, Le Lu, Dakai Jin, Minfeng Xu |
| 2025 | ACL | Visual Evidence Prompting Mitigates Hallucinations in Large Vision-Language Models. | Wei Li, Zhen Huang, Houqiang Li, Le Lu, Yang Lu, Xinmei Tian, Xu Shen, Jieping Ye |
| 2025 | ACL | Interpret and Improve In-Context Learning via the Lens of Input-Label Mappings. | Chenghao Sun, Zhen Huang, Yonggang Zhang, Le Lu, Houqiang Li, Xinmei Tian, Xu Shen, Jieping Ye |
| 2025 | CVPR | nnWNet: Rethinking the Use of Transformers in Biomedical Image Segmentation and Calling for a Unified Evaluation Benchmark. | Yanfeng Zhou, Lingrui Li, Le Lu, Minfeng Xu |
| 2025 | ICCV | Boosting Vision Semantic Density with Anatomy Normality Modeling for Medical Vision-Language Pre-Training. | Weiwei Cao, Jianpeng Zhang, Zhongyi Shui, Sinuo Wang, Zeli Chen, Xi Li, Le Lu, Xianghua Ye, Tingbo Liang, Qi Zhang, Ling Zhang |
| 2025 | ICCV | Harmonyseg: Tubular Structure Segmentation With Deep-Shallow Feature Fusion and Growth-Suppression Balanced Loss. | Yi Huangi, Ke Zhang, Wei Liu, Yuanyuan Wang, Vishal M. Patel, Le Lu, Xu Han, Dakai Jin, Ke Yan |
| 2025 | ICCV | Bridging Local Inductive Bias and Long-Range Dependencies With Pixel-Mamba for End-To-End Whole Slide Image Analysis. | 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 |
| 2025 | ICLR | MaRS: A Fast Sampler for Mean Reverting Diffusion based on ODE and SDE Solvers. | Ao Li, Wei Fang, Hongbo Zhao, Le Lu, Ge Yang, Minfeng Xu |
| 2025 | ICLR | Large-scale and Fine-grained Vision-language Pre-training for Enhanced CT Image Understanding. | Zhongyi Shui, Jianpeng Zhang, Weiwei Cao, Sinuo Wang, Ruizhe Guo, Le Lu, Lin Yang, Xianghua Ye, Tingbo Liang, Qi Zhang, Ling Zhang |
| 2025 | MICCAI | PLUS: Plug-and-Play Enhanced Liver Lesion Diagnosis Model on Non-contrast CT Scans. | Jiacheng Hao, Xiaoming Zhang, Wei Liu, Xiaoli Yin, Yuan Gao, Chunli Li, Ling Zhang, Le Lu, Yu Shi, Xu Han, Ke Yan |
| 2025 | MICCAI | Opportunistic Osteoporosis Diagnosis via Texture-Preserving Self-supervision, Mixture of Experts and Multi-task Integration. | Jiaxing Huang, Heng Guo, Le Lu, Fan Yang, Minfeng Xu, Ge Yang, Wei Luo |
| 2025 | MICCAI | Lymph Node Metastasis Classification with Prototype-Guided Multiple Instance Aggregation and Heterogeneous Feature Fusion. | Haoshen Li, Tashan Ai, Yirui Wang, Zhanghexuan Ji, Qinji Yu, Le Lu, Bin Dong, Li Zhang, Xianghua Ye, Kuaile Zhao, Dakai Jin |
| 2025 | MICCAI | Leveraging Semantic Asymmetry for Accurate Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT. | Zi Li, Ying Chen, Zeli Chen, Yanzhou Su, Tai Ma, Tony C. W. Mok, Yan-Jie Zhou, Yunhao Bai, Zhilin Zheng, Le Lu, Yirui Wang, Jia Ge, Senxiang Yan, Xianghua Ye, Dakai Jin |
| 2025 | MICCAI | Metastatic Lymph Node Station Classification in Esophageal Cancer via Prior-Guided Supervision and Station-Aware Mixture-of-Experts. | 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 | MICCAI | Anatomy-Aware Low-Dose CT Denoising via Pretrained Vision Models and Semantic-Guided Contrastive Learning. | Runze Wang, Zeli Chen, Zhiyun Song, Wei Fang, Jiajin Zhang, Danyang Tu, Yuxing Tang, Minfeng Xu, Xianghua Ye, Le Lu, Dakai Jin |
| 2025 | MICCAI | Lymphoma Prognosis with Lesion-Anatomy Context Fusion and Attention-Based Multi-lesion Aggregation. | Song Zhang, Jiajin Zhang, Liheng Qiu, Wei Liu, Dakai Jin, Le Lu, Shenmiao Yang, Ke Yan |
| 2024 | CVPR | Bootstrapping Chest CT Image Understanding by Distilling Knowledge from X-Ray Expert Models. | Weiwei Cao, Jianpeng Zhang, Yingda Xia, Tony C. W. Mok, Zi Li, Xianghua Ye, Le Lu, Jian Zheng, Yuxing Tang, Ling Zhang |
| 2024 | CVPR | CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data. | 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 | CVPR | Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration. | 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 | ECCV | Effective Lymph Nodes Detection in CT Scans Using Location Debiased Query Selection and Contrastive Query Representation in Transformer. | 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 | EMNLP | Interpretable Composition Attribution Enhancement for Visio-linguistic Compositional Understanding. | Wei Li, Zhen Huang, Xinmei Tian, Le Lu, Houqiang Li, Xu Shen, Jieping Ye |
| 2024 | ICLR | Boosting Vanilla Lightweight Vision Transformers via Re-parameterization. | Zhentao Tan, Xiaodan Li, Yue Wu, Qi Chu, Le Lu, Nenghai Yu, Jieping Ye |
| 2024 | ICML | From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning. | Wei Chen, Zhen Huang, Liang Xie, Binbin Lin, Houqiang Li, Le Lu, Xinmei Tian, Deng Cai, Yonggang Zhang, Wenxiao Wang, Xu Shen, Jieping Ye |
| 2024 | MICCAI | Cross-Phase Mutual Learning Framework for Pulmonary Embolism Identification on Non-contrast CT Scans. | Bizhe Bai, Yan-Jie Zhou, Yujian Hu, Tony C. W. Mok, Yilang Xiang, Le Lu, Hongkun Zhang, Minfeng Xu |
| 2024 | MICCAI | LIDIA: Precise Liver Tumor Diagnosis on Multi-Phase Contrast-Enhanced CT via Iterative Fusion and Asymmetric Contrastive Learning. | 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 | MICCAI | Semi-supervised Lymph Node Metastasis Classification with Pathology-Guided Label Sharpening and Two-Streamed Multi-scale Fusion. | Haoshen Li, Yirui Wang, Jie Zhu, Dazhou Guo, Qinji Yu, Ke Yan, Le Lu, Xianghua Ye, Li Zhang, Qifeng Wang, Dakai Jin |
| 2024 | MICCAI | Improved Esophageal Varices Assessment from Non-contrast CT Scans. | Chunli Li, Xiaoming Zhang, Yuan Gao, Xiaoli Yin, Le Lu, Ling Zhang, Ke Yan, Yu Shi |
| 2024 | MICCAI | Slice-Consistent Lymph Nodes Detection Transformer in CT Scans via Cross-Slice Query Contrastive Learning. | Qinji Yu, Yirui Wang, Ke Yan, Le Lu, Na Shen, Xianghua Ye, Xiaowei Ding, Dakai Jin |
| 2024 | MICCAI | IHCSurv: Effective Immunohistochemistry Priors for Cancer Survival Analysis in Gigapixel Multi-stain Whole Slide Images. | 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 | MICCAI | A Curvature-Guided Coarse-to-Fine Framework for Enhanced Whole Brain Segmentation. | Fenqiang Zhao, Yuxing Tang, Le Lu, Ling Zhang |
| 2024 | MICCAI | Low-Rank Continual Pyramid Vision Transformer: Incrementally Segment Whole-Body Organs in CT with Light-Weighted Adaptation. | Vince Zhu, Zhanghexuan Ji, Dazhou Guo, Puyang Wang, Yingda Xia, Le Lu, Xianghua Ye, Wei Zhu, Dakai Jin |
| 2023 | CVPR | Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization. | 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 | ICCV | CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans. | 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 | ICCV | Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image Analysis. | Yankai Jiang, Mingze Sun, Heng Guo, Xiaoyu Bai, Ke Yan, Le Lu, Minfeng Xu |
| 2023 | ICCV | Continual Segment: Towards a Single, Unified and Non-forgetting Continual Segmentation Model of 143 Whole-body Organs in CT Scans. | Zhanghexuan Ji, Dazhou Guo, Puyang Wang, Ke Yan, Le Lu, Minfeng Xu, Qifeng Wang, Jia Ge, Mingchen Gao, Xianghua Ye, Dakai Jin |
| 2023 | MICCAI | SLPT: Selective Labeling Meets Prompt Tuning on Label-Limited Lesion Segmentation. | Fan Bai, Ke Yan, Xiaoyu Bai, Xinyu Mao, Xiaoli Yin, Jingren Zhou, Yu Shi, Le Lu, Max Q.-H. Meng |
| 2023 | MICCAI | Improved Prognostic Prediction of Pancreatic Cancer Using Multi-phase CT by Integrating Neural Distance and Texture-Aware Transformer. | Hexin Dong, Jiawen Yao, Yuxing Tang, Mingze Yuan, Yingda Xia, Jian Zhou, Hong Lu, Jingren Zhou, Bin Dong, Le Lu, Zaiyi Liu, Li Zhang, Yu Shi, Ling Zhang |
| 2023 | MICCAI | SAMConvex: Fast Discrete Optimization for CT Registration Using Self-supervised Anatomical Embedding and Correlation Pyramid. | 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 | MICCAI | M | Quan Liu, Jiawen Yao, Lisha Yao, Xin Chen, Jingren Zhou, Le Lu, Ling Zhang, Zaiyi Liu, Yuankai Huo |
| 2023 | MICCAI | Anatomy-Aware Lymph Node Detection in Chest CT Using Implicit Station Stratification. | Ke Yan, Dakai Jin, Dazhou Guo, Minfeng Xu, Na Shen, Xian-Sheng Hua, Xianghua Ye, Le Lu |
| 2023 | MICCAI | Liver Tumor Screening and Diagnosis in CT with Pixel-Lesion-Patient Network. | 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 | MICCAI | Cluster-Induced Mask Transformers for Effective Opportunistic Gastric Cancer Screening on Non-contrast CT Scans. | Mingze Yuan, Yingda Xia, Xin Chen, Jiawen Yao, Junli Wang, Mingyan Qiu, Hexin Dong, Jingren Zhou, Bin Dong, Le Lu, Li Zhang, Zaiyi Liu, Ling Zhang |
| 2023 | MICCAI | Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction Like Radiologists. | Jianpeng Zhang, Xianghua Ye, Jianfeng Zhang, Yuxing Tang, Minfeng Xu, Jianfei Guo, Xin Chen, Zaiyi Liu, Jingren Zhou, Le Lu, Ling Zhang |
| 2023 | MICCAI | A Novel Multi-task Model Imitating Dermatologists for Accurate Differential Diagnosis of Skin Diseases in Clinical Images. | Yan-Jie Zhou, Wei Liu, Yuan Gao, Jing Xu, Le Lu, Yuping Duan, Hao Cheng, Na Jin, Xiaoyong Man, Shuang Zhao, Yu Wang |
| 2022 | AAAI | Deep Implicit Statistical Shape Models for 3D Medical Image Delineation. | Ashwin Raju, Shun Miao, Dakai Jin, Le Lu, Junzhou Huang, Adam P. Harrison |
| 2022 | CVPR | Localized Adversarial Domain Generalization. | Wei Zhu, Le Lu, Jing Xiao, Mei Han, Jiebo Luo, Adam P. Harrison |
| 2022 | MICCAI | Thoracic Lymph Node Segmentation in CT Imaging via Lymph Node Station Stratification and Size Encoding. | Dazhou Guo, Jia Ge, Ke Yan, Puyang Wang, Zhuotun Zhu, Dandan Zheng, Xian-Sheng Hua, Le Lu, Tsung-Ying Ho, Xianghua Ye, Dakai Jin |
| 2022 | MICCAI | RemixFormer: A Transformer Model for Precision Skin Tumor Differential Diagnosis via Multi-modal Imaging and Non-imaging Data. | Jing Xu, Yuan Gao, Wei Liu, Kai Huang, Shuang Zhao, Le Lu, Xiaosong Wang, Xian-Sheng Hua, Yu Wang, Xiang Chen |
| 2022 | MICCAI | DeepCRC: Colorectum and Colorectal Cancer Segmentation in CT Scans via Deep Colorectal Coordinate Transform. | Lisha Yao, Yingda Xia, Haochen Zhang, Jiawen Yao, Dakai Jin, Bingjiang Qiu, Yuan Zhang, Suyun Li, Yanting Liang, Xian-Sheng Hua, Le Lu, Xin Chen, Zaiyi Liu, Ling Zhang |
| 2022 | MICCAI | Effective Opportunistic Esophageal Cancer Screening Using Noncontrast CT Imaging. | 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 |
| 2021 | AAAI | Window Loss for Bone Fracture Detection and Localization in X-ray Images with Point-based Annotation. | Xinyu Zhang, Yirui Wang, Chi-Tung Cheng, Le Lu, Adam P. Harrison, Jing Xiao, Chien-Hung Liao, Shun Miao |
| 2021 | CVPR | Deep Lesion Tracker: Monitoring Lesions in 4D Longitudinal Imaging Studies. | Jinzheng Cai, Youbao Tang, Ke Yan, Adam P. Harrison, Jing Xiao, Gigin Lin, Le Lu |
| 2021 | CVPR | Automatic Vertebra Localization and Identification in CT by Spine Rectification and Anatomically-Constrained Optimization. | Fakai Wang, Kang Zheng, Le Lu, Jing Xiao, Min Wu, Shun Miao |
| 2021 | CVPR | 3D Graph Anatomy Geometry-Integrated Network for Pancreatic Mass Segmentation, Diagnosis, and Quantitative Patient Management. | Tianyi Zhao, Kai Cao, Jiawen Yao, Isabella Nogues, Le Lu, Lingyun Huang, Jing Xiao, Zhaozheng Yin, Ling Zhang |
| 2021 | MICCAI | Sequential Learning on Liver Tumor Boundary Semantics and Prognostic Biomarker Mining. | 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 | MICCAI | DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans Using Anatomical Context Encoding and Key Organ Auto-Search. | Dazhou Guo, Xianghua Ye, Jia Ge, Xing Di, Le Lu, Lingyun Huang, Guotong Xie, Jing Xiao, Zhongjie Lu, Ling Peng, Senxiang Yan, Dakai Jin |
| 2021 | MICCAI | Liver Tumor Localization and Characterization from Multi-phase MR Volumes Using Key-Slice Prediction: A Physician-Inspired Approach. | Bolin Lai, Yuhsuan Wu, Xiaoyu Bai, Xiaoyun Zhou, Peng Wang, Jinzheng Cai, Yuankai Huo, Lingyun Huang, Yong Xia, Jing Xiao, Le Lu, Heping Hu, Adam P. Harrison |
| 2021 | MICCAI | Hetero-Modal Learning and Expansive Consistency Constraints for Semi-supervised Detection from Multi-sequence Data. | Bolin Lai, Yuhsuan Wu, Xiaoyun Zhou, Peng Wang, Le Lu, Lingyun Huang, Mei Han, Jing Xiao, Heping Hu, Adam P. Harrison |
| 2021 | MICCAI | Learning from Subjective Ratings Using Auto-Decoded Deep Latent Embeddings. | Bowen Li, Xinping Ren, Ke Yan, Le Lu, Lingyun Huang, Guotong Xie, Jing Xiao, Dar-In Tai, Adam P. Harrison |
| 2021 | MICCAI | SAME: Deformable Image Registration Based on Self-supervised Anatomical Embeddings. | 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 | MICCAI | Weakly-Supervised Universal Lesion Segmentation with Regional Level Set Loss. | Youbao Tang, Jinzheng Cai, Ke Yan, Lingyun Huang, Guotong Xie, Jing Xiao, Jingjing Lu, Gigin Lin, Le Lu |
| 2021 | MICCAI | Lesion Segmentation and RECIST Diameter Prediction via Click-Driven Attention and Dual-Path Connection. | Youbao Tang, Ke Yan, Jinzheng Cai, Lingyun Huang, Guotong Xie, Jing Xiao, Jingjing Lu, Gigin Lin, Le Lu |
| 2021 | MICCAI | Opportunistic Screening of Osteoporosis Using Plain Film Chest X-Ray. | Fakai Wang, Kang Zheng, Yirui Wang, Xiaoyun Zhou, Le Lu, Jing Xiao, Min Wu, Chang-Fu Kuo, Shun Miao |
| 2021 | MICCAI | Effective Pancreatic Cancer Screening on Non-contrast CT Scans via Anatomy-Aware Transformers. | Yingda Xia, Jiawen Yao, Le Lu, Lingyun Huang, Guotong Xie, Jing Xiao, Alan L. Yuille, Kai Cao, Ling Zhang |
| 2021 | MICCAI | Semi-supervised Learning for Bone Mineral Density Estimation in Hip X-Ray Images. | Kang Zheng, Yirui Wang, Xiao-Yun Zhou, Fakai Wang, Le Lu, Chihung Lin, Lingyun Huang, Guotong Xie, Jing Xiao, Chang-Fu Kuo, Shun Miao |
| 2021 | MICCAI | Scalable Semi-supervised Landmark Localization for X-ray Images Using Few-Shot Deep Adaptive Graph. | Xiao-Yun Zhou, Bolin Lai, Weijian Li, Yirui Wang, Kang Zheng, Fakai Wang, Chihung Lin, Le Lu, Lingyun Huang, Mei Han, Guotong Xie, Jing Xiao, Chang-Fu Kuo, Adam P. Harrison, Shun Miao |
| 2020 | CVPR | Organ at Risk Segmentation for Head and Neck Cancer Using Stratified Learning and Neural Architecture Search. | Dazhou Guo, Dakai Jin, Zhuotun Zhu, Tsung-Ying Ho, Adam P. Harrison, Chun-Hung Chao, Jing Xiao, Le Lu |
| 2020 | ECCV | Anatomy-Aware Siamese Network: Exploiting Semantic Asymmetry for Accurate Pelvic Fracture Detection in X-Ray Images. | Haomin Chen, Yirui Wang, Kang Zheng, Weijian Li, Chi-Tung Chang, Adam P. Harrison, Jing Xiao, Gregory D. Hager, Le Lu, Chien-Hung Liao, Shun Miao |
| 2020 | ECCV | Structured Landmark Detection via Topology-Adapting Deep Graph Learning. | Weijian Li, Yuhang Lu, Kang Zheng, Haofu Liao, Chihung Lin, Jiebo Luo, Chi-Tung Cheng, Jing Xiao, Le Lu, Chang-Fu Kuo, Shun Miao |
| 2020 | ECCV | JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-modal Image Alignment of Large-Scale Pathological CT Scans. | Fengze Liu, Jinzheng Cai, Yuankai Huo, Chi-Tung Cheng, Ashwin Raju, Dakai Jin, Jing Xiao, Alan L. Yuille, Le Lu, Chien-Hung Liao, Adam P. Harrison |
| 2020 | ECCV | Co-heterogeneous and Adaptive Segmentation from Multi-source and Multi-phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation. | Ashwin Raju, Chi-Tung Cheng, Yuankai Huo, Jinzheng Cai, Junzhou Huang, Jing Xiao, Le Lu, Chien-Hung Liao, Adam P. Harrison |
| 2020 | ICPR | Unsupervised Learning of Facial Landmarks based on Inter-Intra Subject Consistencies. | Weijian Li, Haofu Liao, Shun Miao, Le Lu, Jiebo Luo |
| 2020 | ISCC | Finding Persistent Elements of Anomalous Flows in Distributed Monitoring Systems. | Zhen Cao, Yu-e Sun, He Huang, Hansong Guo, Yang Du, An Liu, Le Lu |
| 2020 | MICCAI | Deep Volumetric Universal Lesion Detection Using Light-Weight Pseudo 3D Convolution and Surface Point Regression. | Jinzheng Cai, Ke Yan, Chi-Tung Cheng, Jing Xiao, Chien-Hung Liao, Le Lu, Adam P. Harrison |
| 2020 | MICCAI | Lymph Node Gross Tumor Volume Detection in Oncology Imaging via Relationship Learning Using Graph Neural Network. | 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 | MICCAI | Reliable Liver Fibrosis Assessment from Ultrasound Using Global Hetero-Image Fusion and View-Specific Parameterization. | Bowen Li, Ke Yan, Dar-In Tai, Yuankai Huo, Le Lu, Jing Xiao, Adam P. Harrison |
| 2020 | MICCAI | Learning to Segment Anatomical Structures Accurately from One Exemplar. | Yuhang Lu, Weijian Li, Kang Zheng, Yirui Wang, Adam P. Harrison, Chihung Lin, Song Wang, Jing Xiao, Le Lu, Chang-Fu Kuo, Shun Miao |
| 2020 | MICCAI | User-Guided Domain Adaptation for Rapid Annotation from User Interactions: A Study on Pathological Liver Segmentation. | Ashwin Raju, Zhanghexuan Ji, Chi-Tung Cheng, Jinzheng Cai, Junzhou Huang, Jing Xiao, Le Lu, Chien-Hung Liao, Adam P. Harrison |
| 2020 | MICCAI | CircleNet: Anchor-Free Glomerulus Detection with Circle Representation. | Haichun Yang, Ruining Deng, Yuzhe Lu, Zheyu Zhu, Ye Chen, Joseph T. Roland, Le Lu, Bennett A. Landman, Agnes B. Fogo, Yuankai Huo |
| 2020 | MICCAI | DeepPrognosis: Preoperative Prediction of Pancreatic Cancer Survival and Surgical Margin via Contrast-Enhanced CT Imaging. | Jiawen Yao, Yu Shi, Le Lu, Jing Xiao, Ling Zhang |
| 2020 | MICCAI | Robust Pancreatic Ductal Adenocarcinoma Segmentation with Multi-institutional Multi-phase Partially-Annotated CT Scans. | Ling Zhang, Yu Shi, Jiawen Yao, Yun Bian, Kai Cao, Dakai Jin, Jing Xiao, Le Lu |
| 2020 | MICCAI | Lymph Node Gross Tumor Volume Detection and Segmentation via Distance-Based Gating Using 3D CT/PET Imaging in Radiotherapy. | Zhuotun Zhu, Dakai Jin, Ke Yan, Tsung-Ying Ho, Xianghua Ye, Dazhou Guo, Chun-Hung Chao, Jing Xiao, Alan L. Yuille, Le Lu |
| 2019 | ICTAI | An Efficient Truth Discovery Mechanism for Crowdsensing Tasks With Temporal and Spatial Correlations. | Runzhi Wang, Yu-e Sun, He Huang, Le Lu, Yang Du, Danlei Huang |
| 2019 | MICCAI | Accurate Esophageal Gross Tumor Volume Segmentation in PET/CT Using Two-Stream Chained 3D Deep Network Fusion. | Dakai Jin, Dazhou Guo, Tsung-Ying Ho, Adam P. Harrison, Jing Xiao, Chen-Kan Tseng, Le Lu |
| 2019 | MICCAI | Deep Esophageal Clinical Target Volume Delineation Using Encoded 3D Spatial Context of Tumors, Lymph Nodes, and Organs At Risk. | Dakai Jin, Dazhou Guo, Tsung-Ying Ho, Adam P. Harrison, Jing Xiao, Chen-Kan Tseng, Le Lu |
| 2019 | MICCAI | Weakly Supervised Universal Fracture Detection in Pelvic X-Rays. | Yirui Wang, Le Lu, Chi-Tung Cheng, Dakai Jin, Adam P. Harrison, Jing Xiao, Chien-Hung Liao, Shun Miao |
| 2019 | MICCAI | CT Data Curation for Liver Patients: Phase Recognition in Dynamic Contrast-Enhanced CT. | Bo Zhou, Adam P. Harrison, Jiawen Yao, Chi-Tung Cheng, Jing Xiao, Chien-Hung Liao, Le Lu |
| 2018 | CVPR | TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-Rays. | Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Ronald M. Summers |
| 2018 | CVPR | Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database. | Ke Yan, Xiaosong Wang, Le Lu, Ling Zhang, Adam P. Harrison, Mohammadhadi Bagheri, Ronald M. Summers |
| 2018 | MICCAI | Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays. | Jinzheng Cai, Le Lu, Adam P. Harrison, Xiaoshuang Shi, Pingjun Chen, Lin Yang |
| 2018 | MICCAI | Accurate Weakly-Supervised Deep Lesion Segmentation Using Large-Scale Clinical Annotations: Slice-Propagated 3D Mask Generation from 2D RECIST. | Jinzheng Cai, Youbao Tang, Le Lu, Adam P. Harrison, Ke Yan, Jing Xiao, Lin Yang, Ronald M. Summers |
| 2018 | MICCAI | Towards Automated Colonoscopy Diagnosis: Binary Polyp Size Estimation via Unsupervised Depth Learning. | Hayato Itoh, Holger R. Roth, Le Lu, Masahiro Oda, Masashi Misawa, Yuichi Mori, Shin-ei Kudo, Kensaku Mori |
| 2018 | MICCAI | A Decomposable Model for the Detection of Prostate Cancer in Multi-parametric MRI. | Nathan Lay, Yohannes Tsehay, Yohan Sumathipala, Ruida Cheng, Sonia Gaur, Clayton Smith, Adrian Barbu, Le Lu, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Ronald M. Summers |
| 2018 | MICCAI | CT Image Enhancement Using Stacked Generative Adversarial Networks and Transfer Learning for Lesion Segmentation Improvement. | Youbao Tang, Jinzheng Cai, Le Lu, Adam P. Harrison, Ke Yan, Jing Xiao, Lin Yang, Ronald M. Summers |
| 2018 | MICCAI | Attention-Guided Curriculum Learning for Weakly Supervised Classification and Localization of Thoracic Diseases on Chest Radiographs. | Yuxing Tang, Xiaosong Wang, Adam P. Harrison, Le Lu, Jing Xiao, Ronald M. Summers |
| 2017 | AMIA | Text Mining Radiology Reports for Deep Learning Radiology Images. | Yifan Peng, Xiaosong Wang, Le Lu, Mohammadhadi Bagheri, Ronald M. Summers, Zhiyong Lu |
| 2017 | CHI | How Do System Administrators Resolve Access-Denied Issues in the Real World? | Tianyin Xu, Han Min Naing, Le Lu, Yuanyuan Zhou |
| 2017 | CVPR | ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases. | Xiaosong Wang, Yifan Peng, Le Lu, Zhiyong Lu, Mohammadhadi Bagheri, Ronald M. Summers |
| 2017 | MICCAI | Pancreas Segmentation in MRI Using Graph-Based Decision Fusion on Convolutional Neural Networks. | Jinzheng Cai, Le Lu, Yuanpu Xie, Fuyong Xing, Lin Yang |
| 2017 | MICCAI | Progressive and Multi-path Holistically Nested Neural Networks for Pathological Lung Segmentation from CT Images. | Adam P. Harrison, Ziyue Xu, Kevin George, Le Lu, Ronald M. Summers, Daniel J. Mollura |
| 2017 | MICCAI | Personalized Pancreatic Tumor Growth Prediction via Group Learning. | Ling Zhang, Le Lu, Ronald M. Summers, Electron Kebebew, Jianhua Yao |
| 2017 | WACV | Unsupervised Joint Mining of Deep Features and Image Labels for Large-Scale Radiology Image Categorization and Scene Recognition. | Xiaosong Wang, Le Lu, Hoo-Chang Shin, Lauren Kim, Mohammadhadi Bagheri, Isabella Nogues, Jianhua Yao, Ronald M. Summers |
| 2016 | CVPR | Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation. | Hoo-Chang Shin, Kirk Roberts, Le Lu, Dina Demner-Fushman, Jianhua Yao, Ronald M. Summers |
| 2016 | IGARSS | Parallel implementation of the FLICM algorithm for SAR image change detection on intel MIC. | Huming Zhu, Le Lu, Yucong Fan, Pei Li, Qingyu Zhang, Licheng Jiao |
| 2016 | MICCAI | Pancreas Segmentation in MRI Using Graph-Based Decision Fusion on Convolutional Neural Networks. | Jinzheng Cai, Le Lu, Zizhao Zhang, Fuyong Xing, Lin Yang, Qian Yin |
| 2016 | MICCAI | Multi-label Deep Regression and Unordered Pooling for Holistic Interstitial Lung Disease Pattern Detection. | Mingchen Gao, Ziyue Xu, Le Lu, Adam P. Harrison, Ronald M. Summers, Daniel J. Mollura |
| 2016 | MICCAI | Automatic Lymph Node Cluster Segmentation Using Holistically-Nested Neural Networks and Structured Optimization in CT Images. | Isabella Nogues, Le Lu, Xiaosong Wang, Holger Roth, Gedas Bertasius, Nathan Lay, Jianbo Shi, Yohannes Tsehay, Ronald M. Summers |
| 2016 | MICCAI | Spatial Aggregation of Holistically-Nested Networks for Automated Pancreas Segmentation. | Holger R. Roth, Le Lu, Amal Farag, Andrew Sohn, Ronald M. Summers |
| 2016 | WACV | Accurate 3D bone segmentation in challenging CT images: Bottom-up parsing and contextualized optimization. | Le Lu, Dijia Wu, Nathan Lay, David Liu, Isabella Nogues, Ronald M. Summers |
| 2015 | CVPR | Interleaved text/image Deep Mining on a large-scale radiology database. | Hoo-Chang Shin, Le Lu, Lauren Kim, Ari Seff, Jianhua Yao, Ronald M. Summers |
| 2015 | MICCAI | DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation. | Holger R. Roth, Le Lu, Amal Farag, Hoo-Chang Shin, Jiamin Liu, Evrim B. Turkbey, Ronald M. Summers |
| 2015 | MICCAI | Leveraging Mid-Level Semantic Boundary Cues for Automated Lymph Node Detection. | Ari Seff, Le Lu, Adrian Barbu, Holger Roth, Hoo-Chang Shin, Ronald M. Summers |
| 2014 | MICCAI | A Bottom-Up Approach for Automatic Pancreas Segmentation in Abdominal CT Scans. | Amal Farag, Le Lu, Evrim Turkbey, Jiamin Liu, Ronald M. Summers |
| 2014 | MICCAI | A New 2.5D Representation for Lymph Node Detection Using Random Sets of Deep Convolutional Neural Network Observations. | Holger R. Roth, Le Lu, Ari Seff, Kevin M. Cherry, Joanne Hoffman, Shijun Wang, Jiamin Liu, Evrim Turkbey, Ronald M. Summers |
| 2014 | MICCAI | 2D View Aggregation for Lymph Node Detection Using a Shallow Hierarchy of Linear Classifiers. | Ari Seff, Le Lu, Kevin M. Cherry, Holger R. Roth, Jiamin Liu, Shijun Wang, Joanne Hoffman, Evrim B. Turkbey, Ronald M. Summers |
| 2013 | MICCAI | Computer Aided Diagnosis Using Multilevel Image Features on Large-Scale Evaluation. | Le Lu, Pandu R. Devarakota, Siddharth Vikal, Dijia Wu, Yefeng Zheng, Matthias Wolf |
| 2013 | MICCAI | A New Algorithm of Electronic Cleansing for Weak Faecal-Tagging CT Colonography. | Le Lu, Bing Jian, Dijia Wu, Matthias Wolf |
| 2013 | MICCAI | Sequential Monte Carlo Tracking for Marginal Artery Segmentation on CT Angiography by Multiple Cue Fusion. | Shijun Wang, Brandon Peplinski, Le Lu, Weidong Zhang, Jianfei Liu, Zhuoshi Wei, Ronald M. Summers |
| 2013 | MICCAI | Semantic Context Forests for Learning-Based Knee Cartilage Segmentation in 3D MR Images. | Quan Wang, Dijia Wu, Le Lu, Meizhu Liu, Kim L. Boyer, Shaohua Kevin Zhou |
| 2012 | ACCV | Robust Object Tracking in Crowd Dynamic Scenes Using Explicit Stereo Depth. | Chi Li, Le Lu, Gregory D. Hager, Jianyu Tang, Hanzi Wang |
| 2011 | CIKM | Coarse-to-fine classification via parametric and nonparametric models for computer-aided diagnosis. | Meizhu Liu, Le Lu, Xiaojing Ye, Shipeng Yu, Heng Huang |
| 2011 | CVPR | AdaBoost on low-rank PSD matrices for metric learning. | Jinbo Bi, Dijia Wu, Le Lu, Meizhu Liu, Yimo Tao, Matthias Wolf |
| 2011 | CVPR | Effective 3D object detection and regression using probabilistic segmentation features in CT images. | Le Lu, Jinbo Bi, Matthias Wolf, Marcos Salganicoff |
| 2011 | MICCAI | Robust Large Scale Prone-Supine Polyp Matching Using Local Features: A Metric Learning Approach. | Meizhu Liu, Le Lu, Jinbo Bi, Vikas C. Raykar, Matthias Wolf, Marcos Salganicoff |
| 2011 | MICCAI | Sparse Classification for Computer Aided Diagnosis Using Learned Dictionaries. | Meizhu Liu, Le Lu, Xiaojing Ye, Shipeng Yu, Marcos Salganicoff |
| 2010 | CVPR | Stratified learning of local anatomical context for lung nodules in CT images. | Dijia Wu, Le Lu, Jinbo Bi, Yoshihisa Shinagawa, Kim L. Boyer, Arun Krishnan, Marcos Salganicoff |
| 2010 | MICCAI | Correcting Misalignment of Automatic 3D Detection by Classification: Ileo-Cecal Valve False Positive Reduction in CT Colonography. | Le Lu, Matthias Wolf, Jinbo Bi, Marcos Salganicoff |
| 2010 | MICCAI | Hierarchical Segmentation and Identification of Thoracic Vertebra Using Learning-Based Edge Detection and Coarse-to-Fine Deformable Model. | Jun Ma, Le Lu, Yiqiang Zhan, Xiang Sean Zhou, Marcos Salganicoff, Arun Krishnan |
| 2009 | ICCV | Hierarchical learning for tubular structure parsing in medical imaging: A study on coronary arteries using 3D CT Angiography. | Le Lu, Jinbo Bi, Shipeng Yu, Zhigang Peng, Arun Krishnan, Xiang Sean Zhou |
| 2009 | MICCAI | A Two-Level Approach Towards Semantic Colon Segmentation: Removing Extra-Colonic Findings. | Le Lu, Matthias Wolf, Jianming Liang, Murat Dundar, Jinbo Bi, Marcos Salganicoff |
| 2009 | MICCAI | Multi-level Ground Glass Nodule Detection and Segmentation in CT Lung Images. | Yimo Tao, Le Lu, Maneesh Dewan, Albert Y. Chen, Jason J. Corso, Jianhua Xuan, Marcos Salganicoff, Arun Krishnan |
| 2008 | CVPR | Accurate polyp segmentation for 3D CT colongraphy using multi-staged probabilistic binary learning and compositional model. | Le Lu, Adrian Barbu, Matthias Wolf, Jianming Liang, Marcos Salganicoff, Dorin Comaniciu |
| 2008 | ECCV | Simultaneous Detection and Registration for Ileo-Cecal Valve Detection in 3D CT Colonography. | Le Lu, Adrian Barbu, Matthias Wolf, Jianming Liang, Luca Bogoni, Marcos Salganicoff, Dorin Comaniciu |
| 2007 | CVPR | A Nonparametric Treatment for Location/Segmentation Based Visual Tracking. | Le Lu, Gregory D. Hager |
| 2006 | ICML | Combined central and subspace clustering for computer vision applications. | Le Lu, Ren Vidal |
| 2005 | CVPR | A Two Level Approach for Scene Recognition. | Le Lu, Kentaro Toyama, Gregory D. Hager |
| 2004 | CVPR | A Particle Filter without Dynamics for Robust 3D Face Tracking. | Le Lu, Xiangtian Dai, Gregory D. Hager |
| 2001 | ICCV | Concentric Mosaic(s)Planar Motion and 1D Cameras. | Long Quan, Le Lu, Heung-Yeung Shum, Maxime Lhuillier |
| 2000 | ICPR | A Novel Method for Camera Planar Motion Detection and Robust Estimation of the 1D Trifocal Tensor. | Le Lu, Hung-Tat Tsui, Zhanyi Hu |