Le Lu

MUSE: Multi-Scale Dense Self-Distillation for Nucleus Detection and Classification AAAI 2026 Large-scale and Fine-grained Vision-language Pre-training for Enhanced CT Image Understanding ICLR 2025 MaRS: A Fast Sampler for Mean Reverting Diffusion based on ODE and SDE Solvers ICLR 2025 Interpret and Improve In-Context Learning via the Lens of Input-Label Mappings ACL 2025 Visual Evidence Prompting Mitigates Hallucinations in Large Vision-Language Models ACL 2025 Opportunistic Osteoporosis Diagnosis via Texture-Preserving Self-Supervision, Mixture of Experts and Multi-Task Integration MICCAI 2025 Metastatic Lymph Node Station Classification in Esophageal Cancer via Prior-guided Supervision and Station-Aware Mixture-of-Experts MICCAI 2025 Lymphoma Prognosis with Lesion-Anatomy Context Fusion and Attention-Based Multi-Lesion Aggregation MICCAI 2025 Lymph Node Metastasis Classification with Prototype-guided Multiple Instance Aggregation and Heterogeneous Feature Fusion MICCAI 2025 Leveraging Semantic Asymmetry for Accurate Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT MICCAI 2025 Anatomy-Aware Low-Dose CT Denoising via Pretrained Vision Models and Semantic-Guided Contrastive Learning MICCAI 2025 Bridging Local Inductive Bias and Long-Range Dependencies with Pixel-Mamba for End-to-end Whole Slide Image Analysis ICCV 2025 nnWNet: Rethinking the Use of Transformers in Biomedical Image Segmentation and Calling for a Unified Evaluation Benchmark CVPR 2025 PLUS: Plug-and-Play Enhanced Liver Lesion Diagnosis Model on Non-Contrast CT Scans MICCAI 2025 Towards a Comprehensive, Efficient and Promptable Anatomic Structure Segmentation Model Using 3D Whole-Body CT Scans AAAI 2025 Boosting Vision Semantic Density with Anatomy Normality Modeling for Medical Vision-language Pre-training ICCV 2025 HarmonySeg: Tubular Structure Segmentation with Deep-Shallow Feature Fusion and Growth-Suppression Balanced Loss ICCV 2025 CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data CVPR 2024 Bootstrapping Chest CT Image Understanding by Distilling Knowledge from X-ray Expert Models CVPR 2024 Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration CVPR 2024 From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning ICML 2024 Improved Esophageal Varices Assessment from Non-Contrast CT Scans MICCAI 2024 IHCSurv: Effective Immunohistochemistry Priors for Cancer Survival Analysis in Gigapixel Multi-stain Whole Slide Images MICCAI 2024 Cross-Phase Mutual Learning Framework for Pulmonary Embolism Identification on Non-Contrast CT Scans MICCAI 2024 A Curvature-Guided Coarse-to-Fine Framework for Enhanced Whole Brain Segmentation MICCAI 2024 Effective Lymph Nodes Detection in CT Scans Using Location Debiased Query Selection and Contrastive Query Representation in Transformer ECCV 2024 Interpretable Composition Attribution Enhancement for Visio-linguistic Compositional Understanding EMNLP 2024 Slice-Consistent Lymph Nodes Detection Transformer in CT Scans via Cross-slice Query Contrastive Learning MICCAI 2024 Semi-supervised Lymph Node Metastasis Classification with Pathology-guided Label Sharpening and Two-streamed Multi-scale Fusion MICCAI 2024 Low-Rank Continual Pyramid Vision Transformer: Incrementally Segment Whole-Body Organs in CT with Light-Weighted Adaptation MICCAI 2024 LIDIA: Precise Liver Tumor Diagnosis on Multi-Phase Contrast-Enhanced CT via Iterative Fusion and Asymmetric Contrastive Learning MICCAI 2024 Boosting Vanilla Lightweight Vision Transformers via Re-parameterization ICLR 2024 Continual Segment: Towards a Single, Unified and Non-forgetting Continual Segmentation Model of 143 Whole-body Organs in CT Scans ICCV 2023 Devil Is in the Queries: Advancing Mask Transformers for Real-World Medical Image Segmentation and Out-of-Distribution Localization CVPR 2023 CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans ICCV 2023 Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image Analysis ICCV 2023 Localized Adversarial Domain Generalization CVPR 2022 Deep Implicit Statistical Shape Models for 3D Medical Image Delineation AAAI 2022 Window Loss for Bone Fracture Detection and Localization in X-ray Images with Point-based Annotation AAAI 2021 Automatic Vertebra Localization and Identification in CT by Spine Rectification and Anatomically-Constrained Optimization CVPR 2021 Deep Lesion Tracker: Monitoring Lesions in 4D Longitudinal Imaging Studies CVPR 2021 3D Graph Anatomy Geometry-Integrated Network for Pancreatic Mass Segmentation, Diagnosis, and Quantitative Patient Management CVPR 2021 Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation ECCV 2020 Organ at Risk Segmentation for Head and Neck Cancer Using Stratified Learning and Neural Architecture Search CVPR 2020 Anatomy-Aware Siamese Network: Exploiting Semantic Asymmetry for Accurate Pelvic Fracture Detection in X-ray Images ECCV 2020 JSSR: A Joint Synthesis, Segmentation, and Registration System for 3D Multi-Modal Image Alignment of Large-scale Pathological CT Scans ECCV 2020 Structured Landmark Detection via Topology-Adapting Deep Graph Learning ECCV 2020 TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-Rays CVPR 2018 Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database CVPR 2018 ChestX-ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases CVPR 2017 Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation CVPR 2016 Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database for Automated Image Interpretation JMLR 2016 Interleaved Text/Image Deep Mining on a Very Large-Scale Radiology Database CVPR 2015 Dynamic Foreground/Background Extraction from Images and Videos using Random Patches NIPS 2006