35 citations · 64 across the 5 of their papers we have counts for
5 papers
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…
Deep Learning for Multi-Level Detection and Localization of Myocardial Scars Based on Regional Strain Validated on Virtual Patients
Müjde Akdeniz, Claudia Alessandra Manetti, Tijmen Koopsen +6
How well the heart is functioning can be quantified through measurements of myocardial deformation via echocardiography. Clinical assessment of cardiac function is generally focuse…
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…