activity
20192025
most citedA Data Augmentation Pipeline to Generate Synthetic Labeled Datasets of 3D Echocardiography Images using a GAN

35 citations · 61 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2025

EnLVAM: Enhanced Left Ventricle Linear Measurements Utilizing Anatomical Motion Mode

Durgesh K. Singh, Ahcene Boubekki, Qing Cao +3

Linear measurements of the left ventricle (LV) in the Parasternal Long Axis (PLAX) view using B-mode echocardiography are crucial for cardiac assessment. These involve placing 4-6…

eess.IV2025

Low Complexity Point Tracking of the Myocardium in 2D Echocardiography

Artem Chernyshov, John Nyberg, Vegard Holmstrøm +6

Deep learning methods for point tracking are applicable in 2D echocardiography, but do not yet take advantage of domain specifics that enable extremely fast and efficient configura…

cs.CV2024★ 4 cited

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…

eess.IV2024★ 5 cited

Cardiac valve event timing in echocardiography using deep learning and triplane recordings

Benjamin Strandli Fermann, John Nyberg, Espen W. Remme +9

Cardiac valve event timing plays a crucial role when conducting clinical measurements using echocardiography. However, established automated approaches are limited by the need of e…

eess.IV2024★ 35 cited

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…

eess.IV2024★ 2 cited

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…

eess.IV2019★ 1 cited

Doppler Spectrum Classification with CNNs via Heatmap Location Encoding and a Multi-head Output Layer

Andrew Gilbert, Marit Holden, Line Eikvil +5

Spectral Doppler measurements are an important part of the standard echocardiographic examination. These measurements give important insight into myocardial motion and blood flow p…

eess.IV2019★ 14 cited

Automated Left Ventricle Dimension Measurement in 2D Cardiac Ultrasound via an Anatomically Meaningful CNN Approach

Andrew Gilbert, Marit Holden, Line Eikvil +3

Two-dimensional echocardiography (2DE) measurements of left ventricle (LV) dimensions are highly significant markers of several cardiovascular diseases. These measurements are ofte…