35 citations · 66 across the 7 of their papers we have counts for
6 papers · 1 filter
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…
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…
Transesophageal Echocardiography Generation using Anatomical Models
Emmanuel Oladokun, Musa Abdulkareem, Jurica Šprem +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…
A Data Augmentation Pipeline to Generate Synthetic Labeled Datasets of 3D Echocardiography Images using a GAN
Cristiana Tiago, Andrew Gilbert, Ahmed S. Beela +3
Due to privacy issues and limited amount of publicly available labeled datasets in the domain of medical imaging, we propose an image generation pipeline to synthesize 3D echocardi…
A Domain Translation Framework with an Adversarial Denoising Diffusion Model to Generate Synthetic Datasets of Echocardiography Images
Cristiana Tiago, Sten Roar Snare, Jurica Sprem +1
Currently, medical image domain translation operations show a high demand from researchers and clinicians. Amongst other capabilities, this task allows the generation of new medica…
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…