{"total":29,"rows":[{"id":"2201.09873","title":"Transformers in Medical Imaging: A Survey","created":"2022-01-24","cited_by_count":245,"area":null},{"id":"2301.03505","title":"Advances in Medical Image Analysis with Vision Transformers: A Comprehensive Review","created":"2023-01-09","cited_by_count":62,"area":null},{"id":"2202.12165","title":"Transformers in Medical Image Analysis: A Review","created":"2022-02-24","cited_by_count":41,"area":null},{"id":"2206.01651","title":"D'ARTAGNAN: Counterfactual Video Generation","created":"2022-06-03","cited_by_count":28,"area":null},{"id":"2208.14003","title":"EchoGNN: Explainable Ejection Fraction Estimation with Graph Neural Networks","created":"2022-08-30","cited_by_count":17,"area":null},{"id":"2112.11700","title":"Adaptive Contrast for Image Regression in Computer-Aided Disease Assessment","created":"2021-12-22","cited_by_count":16,"area":null},{"id":"2209.04242","title":"EchoCoTr: Estimation of the Left Ventricular Ejection Fraction from Spatiotemporal Echocardiography","created":"2022-09-09","cited_by_count":16,"area":null},{"id":"2207.02549","title":"Light-weight spatio-temporal graphs for segmentation and ejection fraction prediction in cardiac ultrasound","created":"2022-07-06","cited_by_count":15,"area":null},{"id":"2210.11291","title":"Cyclical Self-Supervision for Semi-Supervised Ejection Fraction Prediction from Echocardiogram Videos","created":"2022-10-20","cited_by_count":12,"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":"2403.10164","title":"CoReEcho: Continuous Representation Learning for 2D+time Echocardiography Analysis","created":"2024-03-15","cited_by_count":8,"area":null},{"id":"2507.05154","title":"Latent Motion Profiling for Annotation-free Cardiac Phase Detection in Adult and Fetal Echocardiography Videos","created":"2025-07-07","cited_by_count":6,"area":null},{"id":"2205.09382","title":"BabyNet: Residual Transformer Module for Birth Weight Prediction on Fetal Ultrasound Video","created":"2022-05-19","cited_by_count":4,"area":null},{"id":"2210.05313","title":"Memory transformers for full context and high-resolution 3D Medical Segmentation","created":"2022-10-11","cited_by_count":3,"area":null},{"id":"2304.00177","title":"Hierarchical Vision Transformers for Cardiac Ejection Fraction Estimation","created":"2023-03-31","cited_by_count":3,"area":null},{"id":"2410.23744","title":"EchoNarrator: Generating natural text explanations for ejection fraction predictions","created":"2024-10-31","cited_by_count":2,"area":null},{"id":"2512.03339","title":"ProtoEFNet: Dynamic Prototype Learning for Inherently Interpretable Ejection Fraction Estimation in Echocardiography","created":"2025-12-03","cited_by_count":2,"area":null},{"id":"2403.10156","title":"Cardiac valve event timing in echocardiography using deep learning and triplane recordings","created":"2024-03-15","cited_by_count":1,"area":null},{"id":"2602.06761","title":"Orientation-Robust Latent Motion Trajectory Learning for Annotation-free Cardiac Phase Detection in Fetal Echocardiography","created":"2026-02-06","cited_by_count":1,"area":null},{"id":"2602.08202","title":"Generative Regression for Left Ventricular Ejection Fraction Estimation from Echocardiography Video","created":"2026-02-09","cited_by_count":1,"area":null},{"id":"2607.00748","title":"FrameONE: Hierarchical Motion Modeling for Universal Multi-View Echocardiographic Keyframe Detection","created":"2026-07-01","cited_by_count":1,"area":null},{"id":"2312.08567","title":"ConFormer: A Novel Collection of Deep Learning Models to Assist Cardiologists in the Assessment of Cardiac Function","created":"2023-12-13","cited_by_count":0,"area":null},{"id":"2503.17543","title":"Echo-E$^3$Net: Efficient Endocardial Spatio-Temporal Network for Ejection Fraction Estimation","created":"2025-03-21","cited_by_count":0,"area":null},{"id":"2504.07606","title":"Heart Failure Prediction using Modal Decomposition and Masked Autoencoders for Scarce Echocardiography Databases","created":"2025-04-10","cited_by_count":0,"area":null},{"id":"2507.13542","title":"Acoustic Index: A Novel AI-Driven Parameter for Cardiac Disease Risk Stratification Using Echocardiography","created":"2025-07-17","cited_by_count":0,"area":null},{"id":"2511.01109","title":"Anatomically Constrained Transformers for Echocardiogram Analysis","created":"2025-11-02","cited_by_count":0,"area":null},{"id":"2608.14750","title":"A Unified DINOv2-Based Framework for LVEF Estimation, GLS Dysfunction Classification, and Early Cardiotoxicity Prediction","created":"2026-08-14","cited_by_count":0,"area":null},{"id":"2609.11650","title":"Self-Supervised Cardiac Phase Detection via Single-Parameter Latent Orbits","created":"2026-09-10","cited_by_count":0,"area":null},{"id":"2609.19730","title":"The segmentation ceiling: why explicit left-ventricular masks do not improve learned ejection-fraction regression","created":"2026-09-17","cited_by_count":0,"area":null}],"next_cursor":null}