PPaperPicks

Le Lu

Alibaba Group, DAMO Academy, Hangzhou, China

32 papers at tracked venues · 15 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. MUSE: Multi-Scale Dense Self-Distillation for Nucleus Detection and Classification
  2. Anatomy-Aware Low-Dose CT Denoising via Pretrained Vision Models and Semantic-Guided Contrastive Learning
  3. Boosting Vision Semantic Density with Anatomy Normality Modeling for Medical Vision-Language Pre-Training
  4. Bridging Local Inductive Bias and Long-Range Dependencies With Pixel-Mamba for End-To-End Whole Slide Image Analysis
  5. Harmonyseg: Tubular Structure Segmentation With Deep-Shallow Feature Fusion and Growth-Suppression Balanced Loss
  6. Interpret and Improve In-Context Learning via the Lens of Input-Label Mappings
  7. Large-scale and Fine-grained Vision-language Pre-training for Enhanced CT Image Understanding
  8. Leveraging Semantic Asymmetry for Accurate Gross Tumor Volume Segmentation of Nasopharyngeal Carcinoma in Planning CT
  9. Lymph Node Metastasis Classification with Prototype-Guided Multiple Instance Aggregation and Heterogeneous Feature Fusion
  10. Lymphoma Prognosis with Lesion-Anatomy Context Fusion and Attention-Based Multi-lesion Aggregation
  11. MaRS: A Fast Sampler for Mean Reverting Diffusion based on ODE and SDE Solvers
  12. Metastatic Lymph Node Station Classification in Esophageal Cancer via Prior-Guided Supervision and Station-Aware Mixture-of-Experts
  13. Opportunistic Osteoporosis Diagnosis via Texture-Preserving Self-supervision, Mixture of Experts and Multi-task Integration
  14. PLUS: Plug-and-Play Enhanced Liver Lesion Diagnosis Model on Non-contrast CT Scans
  15. Towards a Comprehensive, Efficient and Promptable Anatomic Structure Segmentation Model Using 3D Whole-Body CT Scans
  16. Visual Evidence Prompting Mitigates Hallucinations in Large Vision-Language Models
  17. nnWNet: Rethinking the Use of Transformers in Biomedical Image Segmentation and Calling for a Unified Evaluation Benchmark
  18. A Curvature-Guided Coarse-to-Fine Framework for Enhanced Whole Brain Segmentation
  19. Boosting Vanilla Lightweight Vision Transformers via Re-parameterization
  20. Bootstrapping Chest CT Image Understanding by Distilling Knowledge from X-Ray Expert Models
  21. Cross-Phase Mutual Learning Framework for Pulmonary Embolism Identification on Non-contrast CT Scans
  22. CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data
  23. Effective Lymph Nodes Detection in CT Scans Using Location Debiased Query Selection and Contrastive Query Representation in Transformer
  24. From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning
  25. IHCSurv: Effective Immunohistochemistry Priors for Cancer Survival Analysis in Gigapixel Multi-stain Whole Slide Images
  26. Improved Esophageal Varices Assessment from Non-contrast CT Scans
  27. Interpretable Composition Attribution Enhancement for Visio-linguistic Compositional Understanding
  28. LIDIA: Precise Liver Tumor Diagnosis on Multi-Phase Contrast-Enhanced CT via Iterative Fusion and Asymmetric Contrastive Learning
  29. Low-Rank Continual Pyramid Vision Transformer: Incrementally Segment Whole-Body Organs in CT with Light-Weighted Adaptation
  30. Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration
  31. Semi-supervised Lymph Node Metastasis Classification with Pathology-Guided Label Sharpening and Two-Streamed Multi-scale Fusion
  32. Slice-Consistent Lymph Nodes Detection Transformer in CT Scans via Cross-Slice Query Contrastive Learning