Liansheng Wang

CRAF: A Clinical Reasoning-Adaptive Framework via Reinforcement Learning for Similar Case Retrieval AAAI 2026 DK-DDIL: Adaptive Knowledge Retention for Dynamic Domain-Incremental Learning in Medical Imaging CVPR 2026 FDP: A Frequency-Decomposition Preprocessing Pipeline for Unsupervised Anomaly Detection in Brain MRI AAAI 2026 Libra-MIL: Multimodal Prototypes Stereoscopic Infused with Task-specific Language Priors for Few-shot Whole Slide Image Classification AAAI 2026 Accurate Boundary Alignment and Realism Enhancement for Colonoscopic Polyp Image-Mask Pair Generation MICCAI 2025 A Uniform Multi-mode Fused Framework for Velocity Field Estimation in Ultrasound Imaging MICCAI 2025 Bio2Vol: Adapting 2D Biomedical Foundation Models for Volumetric Medical Image Segmentation MICCAI 2025 Bridging Knowledge Discrepancy in Retinal Image Analysis through Federated Multi-Task Learning MICCAI 2025 C2MIL: Synchronizing Semantic and Topological Causalities in Multiple Instance Learning for Robust and Interpretable Survival Analysis ICCV 2025 Controllable Image Synthesis Workflow for Enhancing Cervical Cell Detection MICCAI 2025 DSFC: Deformation-Aware Learning Strategy via Self-sustaining Feedback Cycle for Medical Vision Foundation Model Domain Adaptation MICCAI 2025 Dynamic Entity-Masked Graph Diffusion Model for Histopathology Image Representation Learning AAAI 2025 Enhancing Soft Tissue Sarcoma Classification by Mitigating Patient-Specific Bias in Whole Slide Images MICCAI 2025 Enhancing WSI-Based Survival Analysis with Report-Auxiliary Self-Distillation MICCAI 2025 RRG-DPO: Direct Preference Optimization for Clinically Accurate Radiology Report Generation MICCAI 2025 Tumor Microenvironment-Guided Fine-Tuning of Pathology Foundation Models for Esophageal Squamous Cell Carcinoma Immunotherapy Response Prediction MICCAI 2025 Advancing H&E-to-IHC Virtual Staining with Task-Specific Domain Knowledge for HER2 Scoring MICCAI 2024 Boosting FFPE-to-HE Virtual Staining with Cell Semantics from Pretrained Segmentation Model MICCAI 2024 Boosting Multiple Instance Learning Models for Whole Slide Image Classification: A Model-Agnostic Framework Based on Counterfactual Inference AAAI 2024 Federated Modality-Specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation AAAI 2024 Generalizable Whole Slide Image Classification with Fine-Grained Visual-Semantic Interaction CVPR 2024 HistGen: Histopathology Report Generation via Local-Global Feature Encoding and Cross-modal Context Interaction MICCAI 2024 Learning to Segment Multiple Organs from Multimodal Partially Labeled Datasets MICCAI 2024 ORCGT: Ollivier-Ricci Curvature-based Graph Model for Lung STAS Prediction MICCAI 2024 Advancing Radiograph Representation Learning with Masked Record Modeling ICLR 2023 M3AE: Multimodal Representation Learning for Brain Tumor Segmentation with Missing Modalities AAAI 2023 Why Is the Winner the Best? CVPR 2023 Boost Supervised Pretraining for Visual Transfer Learning: Implications of Self-Supervised Contrastive Representation Learning AAAI 2022 H^2-MIL: Exploring Hierarchical Representation with Heterogeneous Multiple Instance Learning for Whole Slide Image Analysis AAAI 2022 Personalizing Federated Medical Image Segmentation via Local Calibration ECCV 2022 Separated Contrastive Learning for Organ-at-Risk and Gross-Tumor-Volume Segmentation with Limited Annotation AAAI 2022 Alternative Baselines for Low-Shot 3D Medical Image Segmentation---An Atlas Perspective AAAI 2021 LT-Net: Label Transfer by Learning Reversible Voxel-Wise Correspondence for One-Shot Medical Image Segmentation CVPR 2020