{"total":52,"rows":[{"id":"2304.12306","title":"Segment Anything in Medical Images","created":"2023-04-24","cited_by_count":227,"area":null},{"id":"2308.16184","title":"SAM-Med2D","created":"2023-08-30","cited_by_count":124,"area":null},{"id":"2310.15161","title":"SAM-Med3D: Towards General-purpose Segmentation Models for Volumetric Medical Images","created":"2023-10-23","cited_by_count":107,"area":null},{"id":"2401.03495","title":"Segment Anything Model for Medical Image Segmentation: Current Applications and Future Directions","created":"2024-01-07","cited_by_count":97,"area":null},{"id":"2305.00035","title":"SAM on Medical Images: A Comprehensive Study on Three Prompt Modes","created":"2023-04-28","cited_by_count":82,"area":null},{"id":"2309.08842","title":"MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image Segmentation","created":"2023-09-16","cited_by_count":82,"area":null},{"id":"2305.08196","title":"A Comprehensive Survey on Segment Anything Model for Vision and Beyond","created":"2023-05-14","cited_by_count":64,"area":null},{"id":"2403.18271","title":"Unleashing the Potential of SAM for Medical Adaptation via Hierarchical Decoding","created":"2024-03-27","cited_by_count":48,"area":null},{"id":"2304.09324","title":"Computer-Vision Benchmark Segment-Anything Model (SAM) in Medical Images: Accuracy in 12 Datasets","created":"2023-04-18","cited_by_count":45,"area":null},{"id":"2306.06211","title":"A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering","created":"2023-05-12","cited_by_count":45,"area":null},{"id":"2308.03726","title":"AdaptiveSAM: Towards Efficient Tuning of SAM for Surgical Scene Segmentation","created":"2023-08-07","cited_by_count":37,"area":null},{"id":"2308.07624","title":"Self-Prompting Large Vision Models for Few-Shot Medical Image Segmentation","created":"2023-08-15","cited_by_count":35,"area":null},{"id":"2308.07156","title":"SAM Meets Robotic Surgery: An Empirical Study on Generalization, Robustness and Adaptation","created":"2023-08-14","cited_by_count":30,"area":null},{"id":"2401.07654","title":"Foundation Models for Biomedical Image Segmentation: A Survey","created":"2024-01-15","cited_by_count":28,"area":null},{"id":"2311.13964","title":"Deep Interactive Segmentation of Medical Images: A Systematic Review and Taxonomy","created":"2023-11-23","cited_by_count":27,"area":null},{"id":"2401.02458","title":"Data-Centric Foundation Models in Computational Healthcare: A Survey","created":"2024-01-04","cited_by_count":27,"area":null},{"id":"2404.06362","title":"Test-Time Adaptation with SaLIP: A Cascade of SAM and CLIP for Zero shot Medical Image Segmentation","created":"2024-04-09","cited_by_count":25,"area":null},{"id":"2304.14674","title":"SAM Meets Robotic Surgery: An Empirical Study in Robustness Perspective","created":"2023-04-28","cited_by_count":24,"area":null},{"id":"2306.11730","title":"Segment Anything Model (SAM) for Radiation Oncology","created":"2023-06-20","cited_by_count":24,"area":null},{"id":"2305.03678","title":"Towards Segment Anything Model (SAM) for Medical Image Segmentation: A Survey","created":"2023-05-05","cited_by_count":21,"area":null},{"id":"2408.04593","title":"SAM 2 in Robotic Surgery: An Empirical Evaluation for Robustness and Generalization in Surgical Video Segmentation","created":"2024-08-08","cited_by_count":21,"area":null},{"id":"2312.14465","title":"FM-OV3D: Foundation Model-based Cross-modal Knowledge Blending for Open-Vocabulary 3D Detection","created":"2023-12-22","cited_by_count":19,"area":null},{"id":"2409.00924","title":"MedSAM-U: Uncertainty-Guided Auto Multi-Prompt Adaptation for Reliable MedSAM","created":"2024-09-02","cited_by_count":17,"area":null},{"id":"2305.07586","title":"Knowledge distillation with Segment Anything (SAM) model for Planetary Geological Mapping","created":"2023-05-12","cited_by_count":16,"area":"distill"},{"id":"2410.04960","title":"On Efficient Variants of Segment Anything Model: A Survey","created":"2024-10-07","cited_by_count":16,"area":null},{"id":"2307.05617","title":"$\\mathrm{SAM^{Med}}$: A medical image annotation framework based on large vision model","created":"2023-07-11","cited_by_count":13,"area":null},{"id":"2409.15092","title":"M2OST: Many-to-one Regression for Predicting Spatial Transcriptomics from Digital Pathology Images","created":"2024-09-23","cited_by_count":13,"area":null},{"id":"2502.00630","title":"Self-Prompt SAM: Medical Image Segmentation via Automatic Prompt SAM Adaptation","created":"2025-02-02","cited_by_count":12,"area":null},{"id":"2408.06447","title":"S-SAM: SVD-based Fine-Tuning of Segment Anything Model for Medical Image Segmentation","created":"2024-08-12","cited_by_count":11,"area":null},{"id":"2311.10529","title":"Enhancing the Reliability of Segment Anything Model for Auto-Prompting Medical Image Segmentation with Uncertainty Rectification","created":"2023-11-17","cited_by_count":8,"area":null},{"id":"2409.04298","title":"RevSAM2: Prompt SAM2 for Medical Image Segmentation via Reverse-Propagation without Fine-tuning","created":"2024-09-06","cited_by_count":7,"area":null},{"id":"2407.16682","title":"SAM-CP: Marrying SAM with Composable Prompts for Versatile Segmentation","created":"2024-07-23","cited_by_count":6,"area":null},{"id":"2407.17689","title":"SAM-MIL: A Spatial Contextual Aware Multiple Instance Learning Approach for Whole Slide Image Classification","created":"2024-07-25","cited_by_count":6,"area":null},{"id":"2409.07960","title":"Do Vision Foundation Models Enhance Domain Generalization in Medical Image Segmentation?","created":"2024-09-12","cited_by_count":6,"area":null},{"id":"2411.13873","title":"Sli2Vol+: Segmenting 3D Medical Images Based on an Object Estimation Guided Correspondence Flow Network","created":"2024-11-21","cited_by_count":6,"area":null},{"id":"2311.08891","title":"AdapterShadow: Adapting Segment Anything Model for Shadow Detection","created":"2023-11-15","cited_by_count":5,"area":null},{"id":"2307.12674","title":"Industrial Segment Anything -- a Case Study in Aircraft Manufacturing, Intralogistics, Maintenance, Repair, and Overhaul","created":"2023-07-24","cited_by_count":4,"area":null},{"id":"2403.14103","title":"MaskSAM: Towards Auto-prompt SAM with Mask Classification for Volumetric Medical Image Segmentation","created":"2024-03-21","cited_by_count":4,"area":null},{"id":"2410.11722","title":"RClicks: Realistic Click Simulation for Benchmarking Interactive Segmentation","created":"2024-10-15","cited_by_count":4,"area":null},{"id":"2411.07885","title":"RadioActive: 3D Radiological Interactive Segmentation Benchmark","created":"2024-11-12","cited_by_count":4,"area":null},{"id":"2308.06957","title":"CEmb-SAM: Segment Anything Model with Condition Embedding for Joint Learning from Heterogeneous Datasets","created":"2023-08-14","cited_by_count":3,"area":null},{"id":"2411.02745","title":"Foundation AI Model for Medical Image Segmentation","created":"2024-11-05","cited_by_count":2,"area":null},{"id":"2311.17960","title":"BoxCell: Leveraging SAM for Cell Segmentation with Box Supervision","created":"2023-11-29","cited_by_count":1,"area":null},{"id":"2408.13836","title":"PAM: A Propagation-Based Model for Segmenting Any 3D Objects across Multi-Modal Medical Images","created":"2024-08-25","cited_by_count":1,"area":null},{"id":"2411.19447","title":"Adaptive Interactive Segmentation for Multimodal Medical Imaging via Selection Engine","created":"2024-11-29","cited_by_count":1,"area":null},{"id":"2501.03839","title":"MedFocusCLIP : Improving few shot classification in medical datasets using pixel wise attention","created":"2025-01-07","cited_by_count":1,"area":null},{"id":"2502.18185","title":"VesselSAM: Leveraging SAM for Aortic Vessel Segmentation with AtrousLoRA","created":"2025-02-25","cited_by_count":1,"area":null},{"id":"2404.16155","title":"Does SAM dream of EIG? Characterizing Interactive Segmenter Performance using Expected Information Gain","created":"2024-04-24","cited_by_count":0,"area":null},{"id":"2411.16123","title":"Med-PerSAM: One-Shot Visual Prompt Tuning for Personalized Segment Anything Model in Medical Domain","created":"2024-11-25","cited_by_count":0,"area":null},{"id":"2505.17096","title":"TAGS: 3D Tumor-Adaptive Guidance for SAM","created":"2025-05-21","cited_by_count":0,"area":null},{"id":"2507.01055","title":"Prompt Mechanisms in Medical Imaging: A Comprehensive Survey","created":"2025-06-28","cited_by_count":0,"area":null},{"id":"2604.11170","title":"Do Instance Priors Help Weakly Supervised Semantic Segmentation?","created":"2026-04-13","cited_by_count":0,"area":null}],"next_cursor":null}