Advancements in Computer-Aided Diagnosis of Celiac Disease: A Systematic Review

Autor: Ivana Hartmann Tolić, Marija Habijan, Irena Galić, Emmanuel Karlo Nyarko

Publikováno v: Biomimetics, Vol 9, Iss 8, p 493 (2024)

Celiac disease, a chronic autoimmune condition, manifests in those genetically prone to it through damage to the small intestine upon gluten consumption. This condition is estimated to affect approximately one in every hundred individuals worldwide,

Externí odkaz: https://doaj.org/article/795e959512cb4c51810c0a46ac3fc0cb

Segment-then-Segment: Context-Preserving Crop-Based Segmentation for Large Biomedical Images

Autor: Marin Benčević, Yuming Qiu, Irena Galić, Aleksandra Pižurica

Publikováno v: Sensors, Vol 23, Iss 2, p 633 (2023)

Medical images are often of huge size, which presents a challenge in terms of memory requirements when training machine learning models. Commonly, the images are downsampled to overcome this challenge, but this leads to a loss of information. We pres

Externí odkaz: https://doaj.org/article/e768232db81a4bb99ab5ca84edb2dd61

Recent Progress in Epicardial and Pericardial Adipose Tissue Segmentation and Quantification Based on Deep Learning: A Systematic Review

Autor: Marin Benčević, Irena Galić, Marija Habijan, Aleksandra Pižurica

Publikováno v: Applied Sciences, Vol 12, Iss 10, p 5217 (2022)

Epicardial and pericardial adipose tissues (EAT and PAT), which are located around the heart, have been linked to coronary atherosclerosis, cardiomyopathy, coronary artery disease, and other cardiovascular diseases. Additionally, the volume and thick

Externí odkaz: https://doaj.org/article/6371fa70186447659d62456a69401088

Whole Heart Segmentation Using 3D FM-Pre-ResNet Encoder–Decoder Based Architecture with Variational Autoencoder Regularization

Autor: Marija Habijan, Irena Galić, Hrvoje Leventić, Krešimir Romić

Publikováno v: Applied Sciences, Vol 11, Iss 9, p 3912 (2021)

An accurate whole heart segmentation (WHS) on medical images, including computed tomography (CT) and magnetic resonance (MR) images, plays a crucial role in many clinical applications, such as cardiovascular disease diagnosis, pre-surgical planning,

Externí odkaz: https://doaj.org/article/ffa6dc8320a8424e99d6f30ff091b71b

Segmentation and quantification of bi-ventricles and myocardium using 3D SERes-U-Net

Autor: Marija Habijan, Irena Galić, Hrvoje Leventić, Krešimir Romić, Danilo Babin

Publikováno v: Systems, Signals and Image Processing, 28th International Conference, IWSSIP 2021, Revised Selected Papers
Communications in Computer and Information Science ISBN: 9783030968779

Automatic cardiac MRI segmentation, including left and right ventricular endocardium and epicardium, has an essential role in clinical diagnosis by providing crucial information about cardiac function. Determining heart chamber properties, such as vo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1fe3d684eff866f0be045c26d7001fb
https://hdl.handle.net/1854/LU-8724113