Classification of coronary artery calcifications according to motion artifacts in chest CT using a convolutional neural network. - Jurica Sprem; Bob D. de Vos; Pim A. de Jong; Max A. Viergever; Ivana Isgum (Image Processing, 2017)

A Data Augmentation Pipeline to Generate Synthetic Labeled Datasets of 3D Echocardiography Images Using a GAN. - Cristiana Tiago; Andrew Gilbert; Ahmed Salem Beela; Svein Arne Aase; Sten Roar Snare; Jurica Sprem; Kristin McLeod (IEEE Access, 2022)

Transesophageal Echocardiography Generation Using Anatomical Models. - Emmanuel Oladokun; Musa Abdulkareem; Jurica Sprem; Vicente Grau (DALI@MICCAI, 2023)

Graph Convolutional Neural Networks for Automated Echocardiography View Recognition: A Holistic Approach. - Sarina Thomas; Cristiana Tiago; Børge Solli Andreassen; Svein Arne Aase; Jurica Sprem; Erik Normann Steen; Anne H. Schistad Solberg; Guy Ben-Yosef (ASMUS@MICCAI, 2023)

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; Hani Nozari Mirar; Sten Roar Snare; Svein Arne Aase; Joost Lumens; Jurica Sprem; Kristin McLeod (IEEE Access, 2023)

A Domain Translation Framework With an Adversarial Denoising Diffusion Model to Generate Synthetic Datasets of Echocardiography Images. - Cristiana Tiago; Sten Roar Snare; Jurica Sprem; Kristin McLeod (IEEE Access, 2023)

Graph Convolutional Neural Networks for Automated Echocardiography View Recognition: A Holistic Approach. - Sarina Thomas; Cristiana Tiago; Børge Solli Andreassen; Svein Arne Aase; Jurica Sprem; Erik Normann Steen; Anne Solberg; Guy Ben-Yosef (CoRR, 2024)

A Data Augmentation Pipeline to Generate Synthetic Labeled Datasets of 3D Echocardiography Images using a GAN. - Cristiana Tiago; Andrew Gilbert; Ahmed Salem Beela; Svein Arne Aase; Sten Roar Snare; Jurica Sprem (CoRR, 2024)