{"total":59,"rows":[{"id":"2309.10020","title":"Multimodal Foundation Models: From Specialists to General-Purpose Assistants","created":"2023-09-18","cited_by_count":247,"area":null},{"id":"2308.08746","title":"SurgicalSAM: Efficient Class Promptable Surgical Instrument Segmentation","created":"2023-08-17","cited_by_count":104,"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":"2307.00855","title":"Review of Large Vision Models and Visual Prompt Engineering","created":"2023-07-03","cited_by_count":77,"area":null},{"id":"2305.00293","title":"Polyp-SAM: Transfer SAM for Polyp Segmentation","created":"2023-04-29","cited_by_count":64,"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":"2408.04579","title":"SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and More","created":"2024-08-08","cited_by_count":60,"area":null},{"id":"2304.07583","title":"Can SAM Segment Polyps?","created":"2023-04-15","cited_by_count":59,"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":"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":"2307.01187","title":"SAMAug: Point Prompt Augmentation for Segment Anything Model","created":"2023-07-03","cited_by_count":38,"area":null},{"id":"2306.05480","title":"Artificial General Intelligence for Medical Imaging Analysis","created":"2023-06-08","cited_by_count":32,"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":"2306.00499","title":"DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation","created":"2023-06-01","cited_by_count":26,"area":null},{"id":"2406.08372","title":"APSeg: Auto-Prompt Network for Cross-Domain Few-Shot Semantic Segmentation","created":"2024-06-12","cited_by_count":26,"area":null},{"id":"2305.16220","title":"On the Robustness of Segment Anything","created":"2023-05-25","cited_by_count":25,"area":null},{"id":"2308.06623","title":"Polyp-SAM++: Can A Text Guided SAM Perform Better for Polyp Segmentation?","created":"2023-08-12","cited_by_count":22,"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":"2308.16466","title":"Self-Sampling Meta SAM: Enhancing Few-shot Medical Image Segmentation with Meta-Learning","created":"2023-08-31","cited_by_count":18,"area":null},{"id":"2405.04741","title":"All in One Framework for Multimodal Re-identification in the Wild","created":"2024-05-08","cited_by_count":18,"area":null},{"id":"2307.01024","title":"SAM-DA: UAV Tracks Anything at Night with SAM-Powered Domain Adaptation","created":"2023-07-03","cited_by_count":17,"area":null},{"id":"2407.15851","title":"A Survey on Trustworthiness in Foundation Models for Medical Image Analysis","created":"2024-07-03","cited_by_count":17,"area":null},{"id":"2408.02635","title":"Interactive 3D Medical Image Segmentation with SAM 2","created":"2024-08-05","cited_by_count":17,"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":"2310.16383","title":"Open-NeRF: Towards Open Vocabulary NeRF Decomposition","created":"2023-10-25","cited_by_count":13,"area":null},{"id":"2308.10382","title":"False Negative/Positive Control for SAM on Noisy Medical Images","created":"2023-08-20","cited_by_count":12,"area":null},{"id":"2408.00181","title":"CC-SAM: SAM with Cross-feature Attention and Context for Ultrasound Image Segmentation","created":"2024-07-31","cited_by_count":12,"area":null},{"id":"2307.03353","title":"A Survey of Deep Learning in Sports Applications: Perception, Comprehension, and Decision","created":"2023-07-07","cited_by_count":11,"area":null},{"id":"2408.09115","title":"GoodSAM++: Bridging Domain and Capacity Gaps via Segment Anything Model for Panoramic Semantic Segmentation","created":"2024-08-17","cited_by_count":11,"area":null},{"id":"2401.08066","title":"Achieve Fairness without Demographics for Dermatological Disease Diagnosis","created":"2024-01-16","cited_by_count":10,"area":null},{"id":"2403.15063","title":"Towards a Comprehensive, Efficient and Promptable Anatomic Structure Segmentation Model using 3D Whole-body CT Scans","created":"2024-03-22","cited_by_count":10,"area":null},{"id":"2306.08958","title":"Temporally-Extended Prompts Optimization for SAM in Interactive Medical Image Segmentation","created":"2023-06-15","cited_by_count":9,"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":"2312.14481","title":"SurgicalPart-SAM: Part-to-Whole Collaborative Prompting for Surgical Instrument Segmentation","created":"2023-12-22","cited_by_count":8,"area":null},{"id":"2408.05892","title":"Polyp SAM 2: Advancing Zero shot Polyp Segmentation in Colorectal Cancer Detection","created":"2024-08-12","cited_by_count":8,"area":null},{"id":"2503.04106","title":"WeakMedSAM: Weakly-Supervised Medical Image Segmentation via SAM with Sub-Class Exploration and Prompt Affinity Mining","created":"2025-03-06","cited_by_count":8,"area":null},{"id":"2505.09274","title":"Recent Advances in Medical Imaging Segmentation: A Survey","created":"2025-05-14","cited_by_count":8,"area":null},{"id":"2308.09331","title":"SAMedOCT: Adapting Segment Anything Model (SAM) for Retinal OCT","created":"2023-08-18","cited_by_count":6,"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":"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":"2409.20293","title":"Automating MedSAM by Learning Prompts with Weak Few-Shot Supervision","created":"2024-09-30","cited_by_count":5,"area":null},{"id":"2501.09138","title":"Few-Shot Adaptation of Training-Free Foundation Model for 3D Medical Image Segmentation","created":"2025-01-15","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":"2404.14837","title":"Ultrasound SAM Adapter: Adapting SAM for Breast Lesion Segmentation in Ultrasound Images","created":"2024-04-23","cited_by_count":4,"area":null},{"id":"2307.03266","title":"Empirical Analysis of a Segmentation Foundation Model in Prostate Imaging","created":"2023-07-06","cited_by_count":3,"area":null},{"id":"2503.04325","title":"GBT-SAM: A Parameter-Efficient Depth-Aware Model for Generalizable Brain tumour Segmentation on mp-MRI","created":"2025-03-06","cited_by_count":2,"area":null},{"id":"2307.04973","title":"SAM-U: Multi-box prompts triggered uncertainty estimation for reliable SAM in medical image","created":"2023-07-11","cited_by_count":1,"area":null},{"id":"2403.18114","title":"Segment Any Medical Model Extended","created":"2024-03-26","cited_by_count":1,"area":null},{"id":"2406.00663","title":"SimSAM: Zero-shot Medical Image Segmentation via Simulated Interaction","created":"2024-06-02","cited_by_count":1,"area":null},{"id":"2411.02562","title":"Segment Anything for Dendrites from Electron Microscopy","created":"2024-11-04","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":"2511.15118","title":"Unbiased Semantic Decoding with Vision Foundation Models for Few-shot Segmentation","created":"2025-11-19","cited_by_count":1,"area":null},{"id":"2404.14326","title":"Machine Learning Techniques for MRI Data Processing at Expanding Scale","created":"2024-04-22","cited_by_count":0,"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":"2410.02207","title":"Adapting Segment Anything Model to Melanoma Segmentation in Microscopy Slide Images","created":"2024-10-03","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":"2511.16435","title":"Beyond Visual Cues: Leveraging General Semantics as Support for Few-Shot Segmentation","created":"2025-11-20","cited_by_count":0,"area":null}],"next_cursor":null}