{"total":40,"rows":[{"id":"2504.03600","title":"MedSAM2: Segment Anything in 3D Medical Images and Videos","created":"2025-04-04","cited_by_count":96,"area":null},{"id":"2505.17338","title":"Render-FM: Feedforward Model for Real-time Photorealistic Volumetric Rendering","created":"2025-05-22","cited_by_count":4,"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":"2505.19256","title":"PolyPose: Deformable 2D/3D Registration via Polyrigid Transformations","created":"2025-05-25","cited_by_count":2,"area":null},{"id":"2506.03238","title":"Rethinking Whole-Body CT Image Interpretation: An Abnormality-Centric Approach","created":"2025-06-03","cited_by_count":2,"area":null},{"id":"2509.15874","title":"ENSAM: an efficient foundation model for interactive segmentation of 3D medical images","created":"2025-09-19","cited_by_count":2,"area":null},{"id":"2510.03189","title":"Dynamic Prompt Generation for Interactive 3D Medical Image Segmentation Training","created":"2025-10-03","cited_by_count":2,"area":null},{"id":"2510.27326","title":"MeisenMeister: A Simple Two Stage Pipeline for Breast Cancer Classification on MRI","created":"2025-10-31","cited_by_count":2,"area":null},{"id":"2511.19394","title":"BackSplit: The Importance of Sub-dividing the Background in Biomedical Lesion Segmentation","created":"2025-11-24","cited_by_count":2,"area":null},{"id":"2601.16383","title":"On The Robustness of Foundational 3D Medical Image Segmentation Models Against Imprecise Visual Prompts","created":"2026-01-23","cited_by_count":2,"area":null},{"id":"2509.03938","title":"TopoSculpt: Betti-Steered Topological Sculpting of 3D Fine-grained Tubular Shapes","created":"2025-09-04","cited_by_count":1,"area":null},{"id":"2510.05899","title":"Efficient Universal Models for Medical Image Segmentation via Weakly Supervised In-Context Learning","created":"2025-10-07","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":"2601.13677","title":"Finally Outshining the Random Baseline: A Simple and Effective Solution for Active Learning in 3D Biomedical Imaging","created":"2026-01-20","cited_by_count":1,"area":null},{"id":"2602.07643","title":"Universality Reconsidered: Rethinking the Validation of Foundation Models for General-Purpose 3D Medical Segmentation","created":"2026-02-07","cited_by_count":1,"area":null},{"id":"2602.12820","title":"3DLAND: 3D Lesion Abdominal Anomaly Localization Dataset","created":"2026-02-13","cited_by_count":1,"area":null},{"id":"2603.11627","title":"Developing Foundation Models for Universal Segmentation from 3D Whole-Body Positron Emission Tomography","created":"2026-03-12","cited_by_count":1,"area":null},{"id":"2507.07730","title":"RAPS-3D: Efficient interactive segmentation for 3D radiological imaging","created":"2025-07-10","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":"2509.18185","title":"Visionerves: Automatic and Reproducible Hybrid AI for Peripheral Nervous System Recognition Applied to Endometriosis Cases","created":"2025-09-18","cited_by_count":0,"area":null},{"id":"2509.19277","title":"MOIS-SAM2: Exemplar-based Segment Anything Model 2 for multilesion interactive segmentation of neurofibromas in whole-body MRI","created":"2025-09-23","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":"2511.02576","title":"Resource-efficient Automatic Refinement of Segmentations via Weak Supervision from Light Feedback","created":"2025-11-04","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":"2604.01038","title":"Foundation Model-guided Iteratively Prompting and Pseudo-Labeling for Partially Labeled Medical Image Segmentation","created":"2026-04-01","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":"2604.18797","title":"CrossPan: A Comprehensive Benchmark for Cross-Sequence Pancreas MRI Segmentation and Generalization","created":"2026-04-20","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":"2606.10255","title":"POPSICLE: Benchmark Datasets for Segmentation and Localization in CryoET","created":"2026-06-08","cited_by_count":0,"area":null},{"id":"2606.30108","title":"LETT-NeXt: A Lightweight RECIST-Guided Model for 3D CT Lesion Segmentation","created":"2026-06-29","cited_by_count":0,"area":null},{"id":"2607.12896","title":"UniMedSeg: Unified In-Context Learning for Multi-Paradigm 2D/3D Medical Image Segmentation","created":"2026-07-14","cited_by_count":0,"area":null},{"id":"2607.22332","title":"SLIP: Segmentation with Low-latency Interactive Prompting for 3D Medical Images","created":"2026-07-24","cited_by_count":0,"area":null},{"id":"2607.24210","title":"Effect of User-Prompted Priors on Semi-Automated Cancer Lesion Segmentation in Whole-Body Computed Tomography","created":"2026-07-27","cited_by_count":0,"area":null},{"id":"2608.00195","title":"MedSAM2-Anatomy: Training-Free Inference-Time Optimization for Musculoskeletal Segmentation","created":"2026-07-31","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":"2608.30824","title":"Whole-Body MRI Classification via Prompt-Based Clinical Conditioning","created":"2026-08-31","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":"2609.16775","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":"2610.06938","title":"UniPro: Unified Multi-Mode Medical Image Segmentation from 2D Images to 3D Volumes via Propagation","created":"2026-10-03","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}