3 papers
eess.IV2026
EchoLVFM: One-Step Video Generation via Latent Flow Matching for Echocardiogram Synthesis
Emmanuel Oladokun, Sarina Thomas, Jurica Å prem +1
Echocardiography is widely used for assessing cardiac function, where clinically meaningful parameters such as left-ventricular ejection fraction (EF) play a central role in diagno…
eess.IV2025
From Transthoracic to Transesophageal: Cross-Modality Generation using LoRA Diffusion
Emmanuel Oladokun, Yuxuan Ou, Anna Novikova +4
Deep diffusion models excel at realistic image synthesis but demand large training sets-an obstacle in data-scarce domains like transesophageal echocardiography (TEE). While synthe…
eess.IV2024
Transesophageal Echocardiography Generation using Anatomical Models
Emmanuel Oladokun, Musa Abdulkareem, Jurica Å prem +1
Through automation, deep learning (DL) can enhance the analysis of transesophageal echocardiography (TEE) images. However, DL methods require large amounts of high-quality data to…