{"total":13,"rows":[{"id":"2302.03836","title":"Topological Deep Learning: A Review of an Emerging Paradigm","created":"2023-02-08","cited_by_count":34,"area":null},{"id":"2103.00429","title":"Medical Image Segmentation with Limited Supervision: A Review of Deep Network Models","created":"2021-02-28","cited_by_count":22,"area":null},{"id":"2107.12689","title":"A persistent homology-based topological loss for CNN-based multi-class segmentation of CMR","created":"2021-07-27","cited_by_count":21,"area":null},{"id":"2101.07721","title":"A survey on shape-constraint deep learning for medical image segmentation","created":"2021-01-19","cited_by_count":16,"area":null},{"id":"2307.08535","title":"Multi-class point cloud completion networks for 3D cardiac anatomy reconstruction from cine magnetic resonance images","created":"2023-07-17","cited_by_count":16,"area":null},{"id":"2207.04220","title":"Rethinking Persistent Homology for Visual Recognition","created":"2022-07-09","cited_by_count":4,"area":null},{"id":"2207.06832","title":"Enforcing connectivity of 3D linear structures using their 2D projections","created":"2022-07-14","cited_by_count":3,"area":null},{"id":"2504.00753","title":"CAPE: Connectivity-Aware Path Enforcement Loss for Curvilinear Structure Delineation","created":"2025-04-01","cited_by_count":2,"area":null},{"id":"2401.01160","title":"Train-Free Segmentation in MRI with Cubical Persistent Homology","created":"2024-01-02","cited_by_count":1,"area":null},{"id":"2308.04870","title":"Decorrelating neurons using persistence","created":"2023-08-09","cited_by_count":0,"area":null},{"id":"2311.07234","title":"Multi-task learning for joint weakly-supervised segmentation and aortic arch anomaly classification in fetal cardiac MRI","created":"2023-11-13","cited_by_count":0,"area":null},{"id":"2506.10797","title":"Modality-AGnostic Image Cascade (MAGIC) for Multi-Modality Cardiac Substructure Segmentation","created":"2025-06-12","cited_by_count":0,"area":null},{"id":"2606.01753","title":"Quality-Guided Semi-Supervised Learning for Medical Image Segmentation","created":"2026-06-01","cited_by_count":0,"area":null}],"next_cursor":null}