SAMASK-CLTR: A spatial-aware mask guided learning model for benign and malignant tumor classification in ABUS
https://doi.org/10.1007/978-3-032-04927-8_54

SAMed-2: Selective Memory Enhanced Medical Segment Anything Model
https://doi.org/10.1007/978-3-032-05169-1_52

SAMSA: Segment Anything Model enhanced with Spectral Angles for Hyperspectral Interactive Medical Image Segmentation
https://doi.org/10.1007/978-3-032-05114-1_46

SAMUSA: Segment Anything Model 2 for UltraSound Annotation
https://doi.org/10.1007/978-3-032-05141-7_49

Scalp Diagnostic System With Label-Free Segmentation and Training-Free Image Translation
https://doi.org/10.1007/978-3-032-04984-1_45

Seeing Beyond the Surface: Retinal Thickness Prediction from Color Fundus Photography for DME Management
https://doi.org/10.1007/978-3-032-05185-1_53

Segmenting Vessels Encapsulating Tumor Clusters via Fine-Grained Visual Prompt
https://doi.org/10.1007/978-3-032-05325-1_47

Segmentor-guided Counterfactual Fine-Tuning for Locally Coherent and Targeted Image Synthesis
https://doi.org/10.1007/978-3-032-04937-7_50

Selective Alignment Transfer for Domain Adaptation in Skin Lesion Analysis
https://doi.org/10.1007/978-3-032-04978-0_57

Self is the Best Learner: CT-free Ultra-Low-Dose PET Organ Segmentation via Collaborating Denoising and Segmentation Learning
https://doi.org/10.1007/978-3-032-04947-6_54

Self-adaptive Vision-Language Model for 3D Segmentation of Pulmonary Artery and Vein
https://doi.org/10.1007/978-3-032-05114-1_47

Self-Propagative Multi-Task Learning for Predicting Cardiometabolic Risk Factors
https://doi.org/10.1007/978-3-032-05182-0_55

Self-supervised Axial Super-Resolution for Volume Microscopy via Diffusion-Guided Structure Distillation
https://doi.org/10.1007/978-3-032-05127-1_45

Self-Supervised Distillation of Legacy Rule-Based Methods for Enhanced EEG-Based Decision-Making
https://doi.org/10.1007/978-3-032-04984-1_46

Self-Supervised Multiview Xray Matching
https://doi.org/10.1007/978-3-032-04927-8_55

Self-supervised Normality Learning and Divergence Vector-guided Model Merging for Zero-shot Congenital Heart Disease Detection in Fetal Ultrasound Videos
https://doi.org/10.1007/978-3-032-04981-0_53

Semantic Interpolative Diffusion Model: Bridging the Interpolation to Masks and Colonoscopy Image Synthesis for Robust Generalization
https://doi.org/10.1007/978-3-032-05141-7_50

Semantic Scene Graph for Ultrasound Image Explanation and Scanning Guidance
https://doi.org/10.1007/978-3-032-05114-1_48

Semantic-Aware Chest X-ray Report Generation with Domain-Specific Lexicon and Diversity-Controlled Retrieval
https://doi.org/10.1007/978-3-032-04978-0_58

Semantically Consistent Discrete Diffusion for 3D Biological Graph Modeling
https://doi.org/10.1007/978-3-032-05162-2_57

Semi-Supervised Deformation-Free Image-to-Image Translation for Realistic CT Synthesis from CBCT
https://doi.org/10.1007/978-3-032-04947-6_55

Semi-Supervised Multi-Modal Medical Image Segmentation for Complex Situations
https://doi.org/10.1007/978-3-032-04984-1_47

SemiVT-Surge: Semi-Supervised Video Transformer for Surgical Phase Recognition
https://doi.org/10.1007/978-3-032-05127-1_46

Separable tissue representations for attributable risk prediction
https://doi.org/10.1007/978-3-032-05185-1_54

Sequence-Independent Continual Test-Time Adaptation with Mixture of Incremental Experts for Cross-Domain Segmentation
https://doi.org/10.1007/978-3-032-05325-1_48