Jurica Sprem

According to our database, Jurica Sprem authored at least 8 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

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

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

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

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

Proceedings of the Simplifying Medical Ultrasound - 4th International Workshop, 2023

Transesophageal Echocardiography Generation Using Anatomical Models.

Emmanuel Oladokun, Musa Abdulkareem, Jurica Sprem, Vicente Grau

Proceedings of the Data Augmentation, Labelling, and Imperfections - Third MICCAI Workshop, 2023

2022

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

2017

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

Proceedings of the Medical Imaging 2017: Image Processing, 2017