{"total":18,"rows":[{"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":"2404.03264","title":"Foundation Model for Advancing Healthcare: Challenges, Opportunities, and Future Directions","created":"2024-04-04","cited_by_count":77,"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":"2504.12080","title":"DC-SAM: In-Context Segment Anything in Images and Videos via Dual Consistency","created":"2025-04-16","cited_by_count":15,"area":null},{"id":"2311.14199","title":"A Systematic Review of Deep Learning-based Research on Radiology Report Generation","created":"2023-11-23","cited_by_count":14,"area":null},{"id":"2411.17363","title":"SAM-MPA: Applying SAM to Few-shot Medical Image Segmentation using Mask Propagation and Auto-prompting","created":"2024-11-26","cited_by_count":9,"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":"2404.17033","title":"Auto-Generating Weak Labels for Real & Synthetic Data to Improve Label-Scarce Medical Image Segmentation","created":"2024-04-25","cited_by_count":3,"area":null},{"id":"2507.22792","title":"Segment Anything for Video: A Comprehensive Review of Video Object Segmentation and Tracking from Past to Future","created":"2025-07-30","cited_by_count":2,"area":null},{"id":"2408.13980","title":"FusionSAM: Visual Multi-Modal Learning with Segment Anything","created":"2024-08-26","cited_by_count":1,"area":null},{"id":"2503.06816","title":"Semi-Supervised Medical Image Segmentation via Knowledge Mining from Large Models","created":"2025-03-10","cited_by_count":1,"area":null},{"id":"2604.09814","title":"RobustMedSAM: Degradation-Resilient Medical Image Segmentation via Robust Foundation Model Adaptation","created":"2026-04-10","cited_by_count":1,"area":null},{"id":"2412.09386","title":"Multi-Stage Segmentation and Cascade Classification Methods for Improving Cardiac MRI Analysis","created":"2024-12-12","cited_by_count":0,"area":null},{"id":"2505.17931","title":"AutoMiSeg: Automatic Medical Image Segmentation via Test-Time Adaptation of Foundation Models","created":"2025-05-23","cited_by_count":0,"area":null},{"id":"2505.21644","title":"Geometric Feature Prompting of Image Segmentation Models","created":"2025-05-27","cited_by_count":0,"area":null},{"id":"2510.03501","title":"Real-Time Threaded Houbara Detection and Segmentation for Wildlife Conservation using Mobile Platforms","created":"2025-10-03","cited_by_count":0,"area":null},{"id":"2512.06440","title":"Neural expressiveness for beyond importance model compression","created":"2025-12-06","cited_by_count":0,"area":null},{"id":"2603.24801","title":"Dissecting Model Failures in Abdominal Aortic Aneurysm Segmentation through Explainability-Driven Analysis","created":"2026-03-25","cited_by_count":0,"area":null}],"next_cursor":null}