medical image segmentation

Revisiting MAE Pre-training for 3D Medical Image Segmentation CVPR 2025 Reviving Poor Object Segmentations in OOD Medical Images using Variational-Deep-PCA Modeling on Segmentation Maps with Sampling-Free Learning WACV 2025 S³-Mamba: Small-Size-Sensitive Mamba for Lesion Segmentation AAAI 2025 SACP: Spatially-Adaptive Conformal Prediction in Uncertainty Quantification of Medical Image Segmentation MIDL 2025 SAMora: Enhancing SAM through Hierarchical Self-Supervised Pre-Training for Medical Images ICCV 2025 SegAnyPET: Universal Promptable Segmentation from Positron Emission Tomography Images ICCV 2025 Segmenting Maxillofacial Structures in CBCT Volumes CVPR 2025 SGTC: Semantic-Guided Triplet Co-training for Sparsely Annotated Semi-Supervised Medical Image Segmentation AAAI 2025 Show and Segment: Universal Medical Image Segmentation via In-Context Learning CVPR 2025 Similarity Memory Prior is All You Need for Medical Image Segmentation ICCV 2025 SimMLM: A Simple Framework for Multi-modal Learning with Missing Modality ICCV 2025 Sli2Vol+: Segmenting 3D Medical Images Based on an Object Estimation Guided Correspondence Flow Network WACV 2025 SPA: Efficient User-Preference Alignment against Uncertainty in Medical Image Segmentation ICCV 2025 Spatial-Temporal Memory Filtering SAM for Lesion Segmentation in Breast Ultrasound Videos MICCAI 2025 STDDNet: Harnessing Mamba for Video Polyp Segmentation via Spatial-aligned Temporal Modeling and Discriminative Dynamic Representation Learning ICCV 2025 Steady Progress Beats Stagnation: Mutual Aid of Foundation and Conventional Models in Mixed Domain Semi-Supervised Medical Image Segmentation CVPR 2025 Supportive Negatives Spectral Augmentation for Source-Free Cross-Domain Segmentation AAAI 2025 Take the Bull by the Horns: Learning to Segment Hard Samples CVPR 2025 Teaching AI the Anatomy Behind the Scan: Addressing Anatomical Flaws in Medical Image Segmentation with Learnable Prior ICCV 2025 Test-time Adaptation for Foundation Medical Segmentation Model Without Parametric Updates ICCV 2025 Test-Time Domain Generalization via Universe Learning: A Multi-Graph Matching Approach for Medical Image Segmentation CVPR 2025 Toward Fair and Accurate Cross-Domain Medical Image Segmentation: A VLM-Driven Active Domain Adaptation Paradigm ICCV 2025 Towards a Comprehensive, Efficient and Promptable Anatomic Structure Segmentation Model Using 3D Whole-Body CT Scans AAAI 2025 Training-Free Dataset Pruning for Polyp Segmentation via Community Detection in Similarity Networks MIDL 2025 U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation AAAI 2025