{"total":17,"rows":[{"id":"2305.05424","title":"Echo from noise: synthetic ultrasound image generation using diffusion models for real image segmentation","created":"2023-05-09","cited_by_count":34,"area":"diffusion"},{"id":"2503.00266","title":"Flow Matching for Medical Image Synthesis: Bridging the Gap Between Speed and Quality","created":"2025-03-01","cited_by_count":25,"area":"diffusion"},{"id":"2307.11204","title":"Dehazing Ultrasound using Diffusion Models","created":"2023-07-20","cited_by_count":17,"area":"diffusion"},{"id":"2507.17731","title":"Flow Matching Meets Biology and Life Science: A Survey","created":"2025-07-23","cited_by_count":14,"area":"diffusion"},{"id":"2503.14966","title":"Ultrasound Image-to-Video Synthesis via Latent Dynamic Diffusion Models","created":"2025-03-19","cited_by_count":12,"area":"diffusion"},{"id":"2406.14388","title":"Active Diffusion Subsampling","created":"2024-06-20","cited_by_count":8,"area":"diffusion"},{"id":"2310.07131","title":"Echocardiography video synthesis from end diastolic semantic map via diffusion model","created":"2023-10-11","cited_by_count":7,"area":"diffusion"},{"id":"2403.04612","title":"A Domain Translation Framework with an Adversarial Denoising Diffusion Model to Generate Synthetic Datasets of Echocardiography Images","created":"2024-03-07","cited_by_count":4,"area":"diffusion"},{"id":"2502.20100","title":"Generative augmentations for improved cardiac ultrasound segmentation using diffusion models","created":"2025-02-27","cited_by_count":3,"area":"diffusion"},{"id":"2603.13967","title":"EchoLVFM: One-Step Video Generation via Latent Flow Matching for Echocardiogram Synthesis","created":"2026-03-14","cited_by_count":3,"area":"diffusion"},{"id":"2508.13077","title":"From Transthoracic to Transesophageal: Cross-Modality Generation using LoRA Diffusion","created":"2025-08-18","cited_by_count":2,"area":"diffusion"},{"id":"2409.19371","title":"Efficient Semantic Diffusion Architectures for Model Training on Synthetic Echocardiograms","created":"2024-09-28","cited_by_count":1,"area":"diffusion"},{"id":"2508.17631","title":"ControlEchoSynth: Boosting Ejection Fraction Estimation Models via Controlled Video Diffusion","created":"2025-08-25","cited_by_count":1,"area":"diffusion"},{"id":"2411.15426","title":"LDM-Morph: Latent diffusion model guided deformable image registration","created":"2024-11-23","cited_by_count":0,"area":"diffusion"},{"id":"2506.15166","title":"Echo-DND: A dual noise diffusion model for robust and precise left ventricle segmentation in echocardiography","created":"2025-06-18","cited_by_count":0,"area":"diffusion"},{"id":"2604.19675","title":"MedFlowSeg: Flow Matching for Medical Image Segmentation with Frequency-Aware Attention","created":"2026-04-21","cited_by_count":0,"area":"diffusion"},{"id":"2607.11655","title":"Feature-Space Guided Diffusion for Realistic Ultrasound Image Synthesis","created":"2026-07-13","cited_by_count":0,"area":"diffusion"}],"next_cursor":null}