Lu, Le

47 publications

ICCV 2025 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, Qi Zhang, Tingbo Liang, Ling Zhang

ICCV 2025 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

ICCV 2025 HarmonySeg: Tubular Structure Segmentation with Deep-Shallow Feature Fusion and Growth-Suppression Balanced Loss Yi Huang, Ke Zhang, Wei Liu, Yuanyuan Wang, Vishal M. Patel, Le Lu, Xu Han, Dakai Jin, Ke Yan

ICLR 2025 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

ICLR 2025 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

AAAI 2025 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

CVPR 2025 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

ICLR 2024 Boosting Vanilla Lightweight Vision Transformers via Re-Parameterization Zhentao Tan, Xiaodan Li, Yue Wu, Qi Chu, Le Lu, Nenghai Yu, Jieping Ye

CVPR 2024 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

CVPR 2024 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

ECCV 2024 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

ICML 2024 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

CVPR 2024 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

ICCV 2023 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

ICCV 2023 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 Yuille, Zaiyi Liu, Ling Zhang

ICCV 2023 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

CVPR 2023 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

AAAI 2022 Deep Implicit Statistical Shape Models for 3D Medical Image Delineation Ashwin Raju, Shun Miao, Dakai Jin, Le Lu, Junzhou Huang, Adam P. Harrison

CVPR 2022 Localized Adversarial Domain Generalization Wei Zhu, Le Lu, Jing Xiao, Mei Han, Jiebo Luo, Adam P. Harrison

CVPR 2021 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

CVPR 2021 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

CVPR 2021 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

AAAI 2021 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

ECCV 2020 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

ECCV 2020 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, ChienHung Liao, Adam P. Harrison

ECCV 2020 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 Yuille, Le Lu, ChienHung Liao, Adam P. Harrison

ECCV 2020 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

CVPR 2017 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

WACV 2017 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

WACV 2016 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

JMLR 2016 Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database for Automated Image Interpretation Hoo-Chang Shin, Le Lu, Lauren Kim, Ari Seff, Jianhua Yao, Ronald M. Summers

CVPR 2016 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

CVPR 2015 Interleaved Text/Image Deep Mining on a Very Large-Scale Radiology Database Hoo-Chang Shin, Le Lu, Lauren Kim, Ari Seff, Jianhua Yao, Ronald M. Summers

CVPR 2011 AdaBoost on Low-Rank PSD Matrices for Metric Learning Jinbo Bi, Dijia Wu, Le Lu, Meizhu Liu, Yimo Tao, Matthias Wolf

CVPR 2011 Effective 3D Object Detection and Regression Using Probabilistic Segmentation Features in CT Images Le Lu, Jinbo Bi, Matthias Wolf, Marcos Salganicoff

CVPR 2010 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

ICCV 2009 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

CVPR 2008 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

ECCV 2008 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

CVPR 2007 A Nonparametric Treatment for Location/Segmentation Based Visual Tracking Le Lu, Gregory D. Hager

ICML 2006 Combined Central and Subspace Clustering for Computer Vision Applications Le Lu, René Vidal

NeurIPS 2006 Dynamic Foreground/Background Extraction from Images and Videos Using Random Patches Le Lu, Gregory D. Hager

CVPR 2005 A Two Level Approach for Scene Recognition Le Lu, Kentaro Toyama, Gregory D. Hager

CVPR 2004 A Particle Filter Without Dynamics for Robust 3D Face Tracking Le Lu, Xiangtian Dai, Gregory D. Hager

CVPRW 2004 A Particle Filter Without Dynamics for Robust 3D Face Tracking Le Lu, Xiangtian Dai, Gregory D. Hager

NeurIPS 2004 A Three Tiered Approach for Articulated Object Action Modeling and Recognition Le Lu, Gregory D. Hager, Laurent Younes

ICCV 2001 Concentric Mosaic(s)Planar Motion and 1d Cameras Long Quan, Le Lu, Heung-Yeung Shum, Maxime Lhuillier