{"total":15,"rows":[{"id":"2411.02372","title":"Learning General-Purpose Biomedical Volume Representations using Randomized Synthesis","created":"2024-11-04","cited_by_count":29,"area":null},{"id":"2411.17386","title":"vesselFM: A Foundation Model for Universal 3D Blood Vessel Segmentation","created":"2024-11-26","cited_by_count":18,"area":null},{"id":"2506.11167","title":"Towards a general-purpose foundation model for fMRI analysis","created":"2025-06-11","cited_by_count":15,"area":null},{"id":"2507.13458","title":"Domain-randomized deep learning for neuroimage analysis","created":"2025-07-17","cited_by_count":6,"area":null},{"id":"2407.01419","title":"Neurovascular Segmentation in sOCT with Deep Learning and Synthetic Training Data","created":"2024-07-01","cited_by_count":4,"area":null},{"id":"2311.08269","title":"Defining the boundaries: challenges and advances in identifying cells in microscopy images","created":"2023-11-14","cited_by_count":2,"area":null},{"id":"2512.17263","title":"AnyCXR: Human Anatomy Segmentation of Chest X-ray at Any Acquisition Position using Multi-stage Domain Randomized Synthetic Data with Imperfect Annotations and Conditional Joint Annotation Regularization Learning","created":"2025-12-19","cited_by_count":2,"area":null},{"id":"2405.06786","title":"SAM3D: Zero-Shot Semi-Automatic Segmentation in 3D Medical Images with the Segment Anything Model","created":"2024-05-10","cited_by_count":1,"area":null},{"id":"2405.13757","title":"A label-free and data-free training strategy for vasculature segmentation in serial sectioning OCT data","created":"2024-05-22","cited_by_count":1,"area":null},{"id":"2308.09835","title":"Microscopy Image Segmentation via Point and Shape Regularized Data Synthesis","created":"2023-08-18","cited_by_count":0,"area":null},{"id":"2312.05148","title":"Shape-aware Segmentation of the Placenta in BOLD Fetal MRI Time Series","created":"2023-12-08","cited_by_count":0,"area":null},{"id":"2410.20532","title":"Search Wide, Focus Deep: Automated Fetal Brain Extraction with Sparse Training Data","created":"2024-10-27","cited_by_count":0,"area":null},{"id":"2506.06024","title":"On Inverse Problems, Parameter Estimation, and Domain Generalization","created":"2025-06-06","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":"2610.14105","title":"Temporal Diffusion Bridge Model for Vessel Extraction Using Physics-informed Synthetic Data","created":"2026-10-08","cited_by_count":0,"area":null}],"next_cursor":null}