Medical Imaging

Breaking Grid Constraints: Dynamic Graph Reconstruction Network for Multi-organ Segmentation ICCV 2025 Breaking Information Isolation: Accelerating MRI via Inter-sequence Mapping and Progressive Masking AAAI 2025 Bridging Local Inductive Bias and Long-Range Dependencies with Pixel-Mamba for End-to-end Whole Slide Image Analysis ICCV 2025 C2MIL: Synchronizing Semantic and Topological Causalities in Multiple Instance Learning for Robust and Interpretable Survival Analysis ICCV 2025 CAMEL: Confidence-Aware Multi-Task Ensemble Learning with Spatial Information for Retina OCT Image Classification and Segmentation WACV 2025 CA-MLIF: Cross-Attention and Multimodal Low-Rank Interaction Fusion Framework for Tumor Prognostic Prediction AAAI 2025 CAMS: Convolution and Attention-Free Mamba-Based Cardiac Image Segmentation WACV 2025 Capturing Longitudinal Changes in Brain Morphology Using Temporally Parameterized Neural Displacement Fields. MIDL 2025 Cardiac Computed Tomography Angiography Plane Prediction and Comprehensive LV Segmentation MIDL 2025 CASC-AI: Consensus-aware Self-corrective Learning for Cell Segmentation with Noisy Labels MIDL 2025 Category Prompt Mamba Network for Nuclei Segmentation and Classification AAAI 2025 CEMIL: Contextual Attention Based Efficient Weakly Supervised Approach for Histopathology Image Classification WACV 2025 Chest-OMDL: Organ-specific Multidisease Detection and Localization in Chest Computed Tomography using Weakly Supervised Deep Learning from Free-text Radiology Report MIDL 2025 CheXalign: Preference fine-tuning in chest X-ray interpretation models without human feedback ACL 2025 CheXwhatsApp: A Dataset for Exploring Challenges in the Diagnosis of Chest X-rays through Mobile Devices CVPR 2025 CheXWorld: Exploring Image World Modeling for Radiograph Representation Learning CVPR 2025 CLOC: Contrastive Learning for Ordinal Classification with Multi-Margin N-pair Loss CVPR 2025 COIN: Confidence Score-Guided Distillation for Annotation-Free Cell Segmentation ICCV 2025 COME: Dual Structure-Semantic Learning with Collaborative MoE for Universal Lesion Detection Across Heterogeneous Ultrasound Datasets ICCV 2025 Conditional Diffusion Models are Medical Image Classifiers that Provide Explainability and Uncertainty for Free MIDL 2025 Conditional Visual Autoregressive Modeling for Pathological Image Restoration ICCV 2025 ConDSeg: A General Medical Image Segmentation Framework via Contrast-Driven Feature Enhancement AAAI 2025 Constrained LDDMM for Dynamic Vocal Tract Morphing: Integrating Volumetric and Real-Time MRI Interspeech 2025 Context-Aware Optimal Transport Learning for Retinal Fundus Image Enhancement WACV 2025 Context Matters: Query-aware Dynamic Long Sequence Modeling of Gigapixel Images ICML 2025