Papers
Sequence-Independent Continual Test-Time Adaptation with Mixture of Incremental Experts for Cross-Domain Segmentation
Dunyuan Xu, Yuchen Yuan, Donghao Zhou et al.
Separable tissue representations for attributable risk prediction
Victor Wåhlstrand, Jennifer Alvén, Lisa Johansson et al.
SemiVT-Surge: Semi-Supervised Video Transformer for Surgical Phase Recognition
Yiping Li, Ronald de Jong, Sahar Nasirihaghighi et al.
Semi-Supervised Multi-Modal Medical Image Segmentation for Complex Situations
Dongdong Meng, Sheng Li, Hao Wu et al.
Semi-Supervised Deformation-Free Image-to-Image Translation for Realistic CT Synthesis from CBCT
Ji Yong Han, Su Yang, Sujeong Kim et al.
Semantic-Aware Chest X-ray Report Generation with Domain-Specific Lexicon and Diversity-Controlled Retrieval
Baochang Zhang, Chen Jia, Shuting Liu et al.
Semantically Consistent Discrete Diffusion for 3D Biological Graph Modeling
Chinmay Prabhakar, Suprosanna Shit, Tamaz Amiranashvili et al.
Semantic Scene Graph for Ultrasound Image Explanation and Scanning Guidance
Xuesong Li, Dianye Huang, Yameng Zhang et al.
Self-supervised Normality Learning and Divergence Vector-guided Model Merging for Zero-shot Congenital Heart Disease Detection in Fetal Ultrasound Videos
Pramit Saha, Divyanshu Mishra, Netzahualcoyotl Hernandez-Cruz et al.
Self-Supervised Multiview Xray Matching
Mohamad Dabboussi, Malo Huard, Yann Gousseau et al.
Self-Supervised Distillation of Legacy Rule-Based Methods for Enhanced EEG-Based Decision-Making
Yipeng Zhang, Yuanyi Ding, Chenda Duan et al.
Self-supervised Axial Super-Resolution for Volume Microscopy via Diffusion-Guided Structure Distillation
Bohao Chen, Yanchao Zhang, Yanan Lv et al.
Self-Propagative Multi-Task Learning for Predicting Cardiometabolic Risk Factors
Seonghyeon Ko, Huigyu Yang, Junghyun Bum et al.
Self-adaptive Vision-Language Model for 3D Segmentation of Pulmonary Artery and Vein
Xiaotong Guo, Deqian Yang, Dan Wang et al.
Self is the Best Learner: CT-free Ultra-Low-Dose PET Organ Segmentation via Collaborating Denoising and Segmentation Learning
Zanting Ye, Xiaolong Niu, Xu Han et al.
Selective Alignment Transfer for Domain Adaptation in Skin Lesion Analysis
Nurjahan Sultana, Wenqi Lu, Xinqi Fan et al.
Segmentor-guided Counterfactual Fine-Tuning for Locally Coherent and Targeted Image Synthesis
Tian Xia, Matthew Sinclair, Andreas Schuh et al.
Segmenting Vessels Encapsulating Tumor Clusters via Fine-Grained Visual Prompt
Jiahui Yu, Tianyu Ma, Shenjian Gu et al.
Seeing Beyond the Surface: Retinal Thickness Prediction from Color Fundus Photography for DME Management
Wenquan Cheng, Yihua Sun, Jinyuan Wang et al.
Scalp Diagnostic System With Label-Free Segmentation and Training-Free Image Translation
Youngmin Kim, Saejin Kim, Hoyeon Moon et al.
SAMUSA: Segment Anything Model 2 for UltraSound Annotation
Baptiste Podvin, Toby Collins, Güinther Saibro et al.
SAMSA: Segment Anything Model enhanced with Spectral Angles for Hyperspectral Interactive Medical Image Segmentation
Alfie Roddan, Tobias Czempiel, Chi Xu et al.
SAMed-2: Selective Memory Enhanced Medical Segment Anything Model
Zhiling Yan, Sifan Song, Dingjie Song et al.
SAMASK-CLTR: A spatial-aware mask guided learning model for benign and malignant tumor classification in ABUS
Peirong Xu, Luoqian Zhu, Jingkun Chen et al.