{"total":16,"rows":[{"id":"2306.08913","title":"Advancing Volumetric Medical Image Segmentation via Global-Local Masked Autoencoder","created":"2023-06-15","cited_by_count":21,"area":null},{"id":"2112.03916","title":"BT-Unet: A self-supervised learning framework for biomedical image segmentation using Barlow Twins with U-Net models","created":"2021-12-07","cited_by_count":12,"area":null},{"id":"2302.05043","title":"A Review of Predictive and Contrastive Self-supervised Learning for Medical Images","created":"2023-02-10","cited_by_count":10,"area":null},{"id":"2411.15763","title":"Integrating Deep Metric Learning with Coreset for Active Learning in 3D Segmentation","created":"2024-11-24","cited_by_count":8,"area":null},{"id":"2211.08643","title":"Keep Your Friends Close & Enemies Farther: Debiasing Contrastive Learning with Spatial Priors in 3D Radiology Images","created":"2022-11-16","cited_by_count":5,"area":null},{"id":"2501.04217","title":"Continual Self-supervised Learning Considering Medical Domain Knowledge in Chest CT Images","created":"2025-01-08","cited_by_count":5,"area":null},{"id":"2205.09299","title":"3DConvCaps: 3DUnet with Convolutional Capsule Encoder for Medical Image Segmentation","created":"2022-05-19","cited_by_count":3,"area":null},{"id":"2211.08533","title":"A Point in the Right Direction: Vector Prediction for Spatially-aware Self-supervised Volumetric Representation Learning","created":"2022-11-15","cited_by_count":3,"area":null},{"id":"2309.02555","title":"A Survey of the Impact of Self-Supervised Pretraining for Diagnostic Tasks with Radiological Images","created":"2023-09-05","cited_by_count":2,"area":null},{"id":"2407.13896","title":"Data-Algorithm-Architecture Co-Optimization for Fair Neural Networks on Skin Lesion Dataset","created":"2024-07-18","cited_by_count":2,"area":null},{"id":"2203.02114","title":"MixCL: Pixel label matters to contrastive learning","created":"2022-03-04","cited_by_count":1,"area":null},{"id":"2211.08557","title":"Unsupervised Feature Clustering Improves Contrastive Representation Learning for Medical Image Segmentation","created":"2022-11-15","cited_by_count":1,"area":null},{"id":"2305.02757","title":"Multi-Domain Learning From Insufficient Annotations","created":"2023-05-04","cited_by_count":1,"area":null},{"id":"2311.12582","title":"Echocardiogram Foundation Model -- Application 1: Estimating Ejection Fraction","created":"2023-11-21","cited_by_count":1,"area":null},{"id":"2502.17029","title":"M3DA: Benchmark for Unsupervised Domain Adaptation in 3D Medical Image Segmentation","created":"2025-02-24","cited_by_count":1,"area":null},{"id":"2605.29122","title":"Robust Cross-Domain Generalization Using Unlabeled Target Data with Source-Domain Supervision","created":"2026-05-27","cited_by_count":0,"area":null}],"next_cursor":null}