{"total":15,"rows":[{"id":"2208.11870","title":"Fix-A-Step: Semi-supervised Learning from Uncurated Unlabeled Data","created":"2022-08-25","cited_by_count":11,"area":null},{"id":"2307.14433","title":"ProtoASNet: Dynamic Prototypes for Inherently Interpretable and Uncertainty-Aware Aortic Stenosis Classification in Echocardiography","created":"2023-07-26","cited_by_count":11,"area":null},{"id":"2308.13217","title":"GEMTrans: A General, Echocardiography-based, Multi-Level Transformer Framework for Cardiovascular Diagnosis","created":"2023-08-25","cited_by_count":9,"area":null},{"id":"2307.08919","title":"Systematic comparison of semi-supervised and self-supervised learning for medical image classification","created":"2023-07-18","cited_by_count":8,"area":null},{"id":"2306.00003","title":"Detecting Heart Disease from Multi-View Ultrasound Images via Supervised Attention Multiple Instance Learning","created":"2023-05-25","cited_by_count":7,"area":null},{"id":"2403.06024","title":"Semi-Supervised Multimodal Multi-Instance Learning for Aortic Stenosis Diagnosis","created":"2024-03-09","cited_by_count":4,"area":null},{"id":"2207.11581","title":"Self-supervised contrastive learning of echocardiogram videos enables label-efficient cardiac disease diagnosis","created":"2022-07-23","cited_by_count":3,"area":null},{"id":"2311.18025","title":"A Probabilistic Method to Predict Classifier Accuracy on Larger Datasets given Small Pilot Data","created":"2023-11-29","cited_by_count":3,"area":null},{"id":"2406.19148","title":"BackMix: Mitigating Shortcut Learning in Echocardiography with Minimal Supervision","created":"2024-06-27","cited_by_count":3,"area":null},{"id":"2409.09680","title":"Reliable Multi-View Learning with Conformal Prediction for Aortic Stenosis Classification in Echocardiography","created":"2024-09-15","cited_by_count":3,"area":null},{"id":"2306.03835","title":"Atrial Septal Defect Detection in Children Based on Ultrasound Video Using Multiple Instances Learning","created":"2023-06-06","cited_by_count":1,"area":null},{"id":"2309.11899","title":"Unlocking the Heart Using Adaptive Locked Agnostic Networks","created":"2023-09-21","cited_by_count":0,"area":null},{"id":"2403.10658","title":"InterLUDE: Interactions between Labeled and Unlabeled Data to Enhance Semi-Supervised Learning","created":"2024-03-15","cited_by_count":0,"area":null},{"id":"2509.11800","title":"Pseudo-D: Informing Multi-View Uncertainty Estimation with Calibrated Neural Training Dynamics","created":"2025-09-15","cited_by_count":0,"area":null},{"id":"2512.00976","title":"Subgroup Validity in Machine Learning for Echocardiogram Data","created":"2025-11-30","cited_by_count":0,"area":null}],"next_cursor":null}