{"total":16,"rows":[{"id":"2511.07827","title":"Deep Learning Analysis of Prenatal Ultrasound for Identification of Ventriculomegaly","created":"2025-11-11","cited_by_count":5,"area":null},{"id":"2603.22649","title":"Pretext Matters: An Empirical Study of SSL Methods in Medical Imaging","created":"2026-03-23","cited_by_count":3,"area":null},{"id":"2512.22730","title":"Improved cystic hygroma detection from prenatal imaging using ultrasound-specific self-supervised representation learning","created":"2025-12-28","cited_by_count":2,"area":null},{"id":"2602.19322","title":"US-JEPA: A Joint Embedding Predictive Architecture for Ultrasound","created":"2026-02-22","cited_by_count":2,"area":null},{"id":"2605.25402","title":"Anatomy-Anchored Self-Supervision: Distilling Vision Foundation Models for Invariant Ultrasound Representation","created":"2026-05-25","cited_by_count":2,"area":null},{"id":"2512.24492","title":"Automated Classification of First-Trimester Fetal Heart Views Using Ultrasound-Specific Self-Supervised Learning","created":"2025-12-30","cited_by_count":1,"area":null},{"id":"2604.15096","title":"Beyond Independent Frames: Latent Attention Masked Autoencoders for Multi-View Echocardiography","created":"2026-04-16","cited_by_count":1,"area":null},{"id":"2511.20734","title":"Automated Histopathologic Assessment of Hirschsprung Disease Using a Multi-Stage Vision Transformer Framework","created":"2025-11-25","cited_by_count":0,"area":null},{"id":"2602.15339","title":"Benchmarking Self-Supervised Models for Cardiac Ultrasound View Classification","created":"2026-02-17","cited_by_count":0,"area":null},{"id":"2604.15893","title":"PolarMAE: Efficient Fetal Ultrasound Pre-training via Semantic Screening and Polar-Guided Masking","created":"2026-04-17","cited_by_count":0,"area":null},{"id":"2606.11106","title":"FADA: Accessible fetal ultrasound interpretation and annotation with a selectively distilled unified vision-language model","created":"2026-06-09","cited_by_count":0,"area":null},{"id":"2606.22487","title":"FetSelect: Task-Specific Architectures and Self-Supervised Learning for Automated Fetal Ultrasound Frame Selection","created":"2026-06-21","cited_by_count":0,"area":null},{"id":"2606.30577","title":"APRIL-MedSeg: A Modular Medical Image Segmentation Toolbox Embracing Modern Paradigms","created":"2026-06-29","cited_by_count":0,"area":null},{"id":"2609.12035","title":"Reading the Whole Heart: Latent-Attention Masked Autoencoders for Multimodal Cardiac Representation Learning","created":"2026-09-10","cited_by_count":0,"area":null},{"id":"2609.16551","title":"Which Pretext Task Transfers? Self-Supervised Pretraining Objectives for Lung Ultrasound","created":"2026-09-15","cited_by_count":0,"area":null},{"id":"2609.28610","title":"UltraBench 2: Towards Robust Evaluation of Vision Foundation Models on Ultrasound","created":"2026-09-23","cited_by_count":0,"area":null}],"next_cursor":null}