{"total":46,"rows":[{"id":"2503.08373","title":"nnInteractive: Redefining 3D Promptable Segmentation","created":"2025-03-11","cited_by_count":41,"area":null},{"id":"2409.19483","title":"MedCLIP-SAMv2: Towards Universal Text-Driven Medical Image Segmentation","created":"2024-09-28","cited_by_count":39,"area":null},{"id":"2502.20985","title":"LesionLocator: Zero-Shot Universal Tumor Segmentation and Tracking in 3D Whole-Body Imaging","created":"2025-02-28","cited_by_count":12,"area":null},{"id":"2502.14351","title":"SegAnyPET: Universal Promptable Segmentation from Positron Emission Tomography Images","created":"2025-02-20","cited_by_count":11,"area":null},{"id":"2504.11008","title":"MediSee: Reasoning-based Pixel-level Perception in Medical Images","created":"2025-04-15","cited_by_count":8,"area":null},{"id":"2411.02818","title":"LiVOS: Light Video Object Segmentation with Gated Linear Matching","created":"2024-11-05","cited_by_count":7,"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":"2411.07885","title":"RadioActive: 3D Radiological Interactive Segmentation Benchmark","created":"2024-11-12","cited_by_count":4,"area":null},{"id":"2412.05888","title":"MCP-MedSAM: A Powerful Lightweight Medical Segment Anything Model Trained with a Single GPU in Just One Day","created":"2024-12-08","cited_by_count":4,"area":null},{"id":"2503.02841","title":"Boltzmann Attention Sampling for Image Analysis with Small Objects","created":"2025-03-04","cited_by_count":4,"area":null},{"id":"2406.19057","title":"Segment Anything Model for automated image data annotation: empirical studies using text prompts from Grounding DINO","created":"2024-06-27","cited_by_count":3,"area":null},{"id":"2509.09232","title":"Medverse: A Universal Model for Full-Resolution 3D Medical Image Segmentation, Transformation and Enhancement","created":"2025-09-11","cited_by_count":3,"area":null},{"id":"2512.18176","title":"Atlas is Your Perfect Context: One-Shot Customization for Generalizable Foundational Medical Image Segmentation","created":"2025-12-20","cited_by_count":3,"area":null},{"id":"2501.04184","title":"MedicalNarratives: Connecting Medical Vision and Language with Localized Narratives","created":"2025-01-07","cited_by_count":2,"area":null},{"id":"2504.07117","title":"RP-SAM2: Refining Point Prompts for Stable Surgical Instrument Segmentation","created":"2025-03-25","cited_by_count":2,"area":null},{"id":"2505.17915","title":"Promptable cancer segmentation using minimal expert-curated data","created":"2025-05-23","cited_by_count":2,"area":null},{"id":"2505.19256","title":"PolyPose: Deformable 2D/3D Registration via Polyrigid Transformations","created":"2025-05-25","cited_by_count":2,"area":null},{"id":"2403.12834","title":"Revisiting 3D Medical Scribble Supervision: Benchmarking Beyond Cardiac Segmentation","created":"2024-03-19","cited_by_count":1,"area":null},{"id":"2410.16939","title":"LIMIS: Towards Language-based Interactive Medical Image Segmentation","created":"2024-10-22","cited_by_count":1,"area":null},{"id":"2412.10337","title":"Generative AI in Medicine","created":"2024-12-13","cited_by_count":1,"area":null},{"id":"2501.16022","title":"SketchYourSeg: Mask-Free Subjective Image Segmentation via Freehand Sketches","created":"2025-01-27","cited_by_count":1,"area":null},{"id":"2511.13001","title":"Medal S: Spatio-Textual Prompt Model for Medical Segmentation","created":"2025-11-17","cited_by_count":1,"area":null},{"id":"2511.16618","title":"SurgSLOT: Segment Anything in Surgical Videos via Semantic Long-term Tracking","created":"2025-11-20","cited_by_count":1,"area":null},{"id":"2609.00473","title":"Expert-like Bone Ultrasound Segmentation through Expert-in-the-loop Mask-conditioned Progressive Learning","created":"2026-08-31","cited_by_count":1,"area":null},{"id":"2408.09886","title":"Improved Baselines with Synchronized Encoding for Universal Medical Image Segmentation","created":"2024-08-19","cited_by_count":0,"area":null},{"id":"2504.18802","title":"Reservoir-enhanced Segment Anything Model for Subsurface Diagnosis","created":"2025-04-26","cited_by_count":0,"area":null},{"id":"2506.13306","title":"Brain Imaging Foundation Models, Are We There Yet? A Systematic Review of Foundation Models for Brain Imaging and Biomedical Research","created":"2025-06-16","cited_by_count":0,"area":null},{"id":"2508.09805","title":"Automated Segmentation of Coronal Brain Tissue Slabs for 3D Neuropathology","created":"2025-08-13","cited_by_count":0,"area":null},{"id":"2509.00613","title":"Promptable Longitudinal Lesion Segmentation in Whole-Body CT","created":"2025-08-30","cited_by_count":0,"area":null},{"id":"2510.00416","title":"Domain-Specialized Interactive Segmentation Framework for Meningioma Radiotherapy Planning","created":"2025-10-01","cited_by_count":0,"area":null},{"id":"2510.15666","title":"Uncertainty-Aware Extreme Point Tracing for Weakly Supervised Ultrasound Image Segmentation","created":"2025-10-17","cited_by_count":0,"area":null},{"id":"2601.15123","title":"BREPS: Bounding-Box Robustness Evaluation of Promptable Segmentation","created":"2026-01-21","cited_by_count":0,"area":null},{"id":"2603.06426","title":"CLoPA: Continual Low Parameter Adaptation of Interactive Segmentation for Medical Image Annotation","created":"2026-03-06","cited_by_count":0,"area":null},{"id":"2603.10541","title":"Prompting with the human-touch: evaluating model-sensitivity of foundation models for musculoskeletal CT segmentation","created":"2026-03-11","cited_by_count":0,"area":null},{"id":"2603.18544","title":"SCISSR: Scribble-Conditioned Interactive Surgical Segmentation and Refinement","created":"2026-03-19","cited_by_count":0,"area":null},{"id":"2604.02564","title":"Why Invariance is Not Enough for Biomedical Domain Generalization and How to Fix It","created":"2026-04-02","cited_by_count":0,"area":null},{"id":"2604.11636","title":"MorphoFlow: Sparse-Supervised Generative Shape Modeling with Adaptive Latent Relevance","created":"2026-04-13","cited_by_count":0,"area":null},{"id":"2605.23118","title":"Exploiting Longitudinal Context in Clinician-Verified Interactive Lesion Tracking","created":"2026-05-22","cited_by_count":0,"area":null},{"id":"2605.24448","title":"SILSM: A Sustainable Interactive Level Set Method for Progressive Refinement","created":"2026-05-23","cited_by_count":0,"area":null},{"id":"2605.26862","title":"RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction","created":"2026-05-26","cited_by_count":0,"area":null},{"id":"2608.28453","title":"Prompt-Guided Interactive Segmentation of Interstitial Lung Disease in Thoracic CT","created":"2026-08-28","cited_by_count":0,"area":null},{"id":"2609.01554","title":"BS: Take the Hint - Interactive Multitracer PET/CT Lesion Segmentation with a Scribble-Conditioned ResEnc U-Net","created":"2026-09-01","cited_by_count":0,"area":null},{"id":"2609.10001","title":"From Few-Shot Segmentation to Clinician-in-the-Loop Medical Image Analysis","created":"2026-09-09","cited_by_count":0,"area":null},{"id":"2609.16775","title":"IMVS: Interactive Medical Volume Segmentation with Test-Time Adaptation - A New Method for Annotating Radiology Datasets","created":"2026-09-15","cited_by_count":0,"area":null},{"id":"2609.25743","title":"SAMI3D-DW: Interactive Segmentation of Any 3D Medical Images","created":"2026-09-22","cited_by_count":0,"area":null},{"id":"2610.17354","title":"MID: Mask-Image Distributional Divergence for Evaluating Medical Image Segmentation","created":"2026-10-12","cited_by_count":0,"area":null}],"next_cursor":null}