4 citations · 6 across the 6 of their papers we have counts for
6 papers
EchoLVFM: One-Step Video Generation via Latent Flow Matching for Echocardiogram Synthesis
Emmanuel Oladokun, Sarina Thomas, Jurica Šprem +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…
WiseLVAM: A Novel Framework For Left Ventricle Automatic Measurements
Durgesh Kumar Singh, Qing Cao, Sarina Thomas +3
Clinical guidelines recommend performing left ventricular (LV) linear measurements in B-mode echocardiographic images at the basal level -- typically at the mitral valve leaflet ti…
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…
EchoNarrator: Generating natural text explanations for ejection fraction predictions
Sarina Thomas, Qing Cao, Anna Novikova +2
Ejection fraction (EF) of the left ventricle (LV) is considered as one of the most important measurements for diagnosing acute heart failure and can be estimated during cardiac ult…
Graph Convolutional Neural Networks for Automated Echocardiography View Recognition: A Holistic Approach
Sarina Thomas, Cristiana Tiago, Børge Solli Andreassen +5
To facilitate diagnosis on cardiac ultrasound (US), clinical practice has established several standard views of the heart, which serve as reference points for diagnostic measuremen…
Towards Robust Cardiac Segmentation using Graph Convolutional Networks
Gilles Van De Vyver, Sarina Thomas, Guy Ben-Yosef +4
Fully automatic cardiac segmentation can be a fast and reproducible method to extract clinical measurements from an echocardiography examination. The U-Net architecture is the curr…