Whole Heart Segmentation from CT images Using 3D U-Net architecture. - Marija Habijan; Hrvoje Leventic; Irena Galic; Danilo Babin (IWSSIP, 2019)

Segmentation of Phase-Contrast MR Images for Aortic Pulse Wave Velocity Measurements. - Danilo Babin; Daniel Devos; Ljiljana Platisa; Ljubomir Jovanov; Marija Habijan; Hrvoje Leventic; Wilfried Philips (ACIVS, 2020)

Segmentation and Quantification of Bi-Ventricles and Myocardium Using 3D SERes-U-Net. - Marija Habijan; Irena Galic; Hrvoje Leventic; Kresimir Romic; Danilo Babin (IWSSIP, 2021)

Training on Polar Image Transformations Improves Biomedical Image Segmentation. - Marin Bencevic; Irena Galic; Marija Habijan; Danilo Babin (IEEE Access, 2021)

Self-supervised Learning as a Means to Reduce the Need for Labeled Data in Medical Image Analysis. - Marin Bencevic; Marija Habijan; Irena Galic; Aleksandra Pizurica (EUSIPCO, 2022)

Automating Blood Flow Simulation Through the Aorta in Patient-specific CT Images. - Marija Habijan; Irena Galic (HICSS, 2022)

Epicardial Adipose Tissue Segmentation from CT Images with A Semi-3D Neural Network. - Marin Bencevic; Marija Habijan; Irena Galic (CoRR, 2022)

A Survey of Left Atrial Appendage Segmentation and Analysis in 3D and 4D Medical Images. - Hrvoje Leventic; Marin Bencevic; Danilo Babin; Marija Habijan; Irena Galic (CoRR, 2022)

Generation of Artificial CT Images using Patch-based Conditional Generative Adversarial Networks. - Marija Habijan; Irena Galic (CoRR, 2022)

Using the Polar Transform for Efficient Deep Learning-Based Aorta Segmentation in CTA Images. - Marin Bencevic; Marija Habijan; Irena Galic; Danilo Babin (CoRR, 2022)

Evaluation Framework for Computer Vision-Based Guidance of the Visually Impaired. - Kresimir Romic; Irena Galic; Marija Habijan; Hrvoje Leventic (CoRR, 2022)

A Multi-Purpose Shallow Convolutional Neural Network for Chart Images. - Filip Bajic; Ognjen Orel; Marija Habijan (Sensors, 2022)

Classification of Arrhythmia ECG Signals using Convolutional Neural Network. - Marija Habijan; Irena Galic; Aleksandra Pizurica (IWSSIP, 2023)

Ensemble Transfer Learning for Lymphoma Classification. - Marija Habijan; Irena Galic (IWSSIP, 2024)

Understanding skin color bias in deep learning-based skin lesion segmentation. - Marin Bencevic; Marija Habijan; Irena Galic; Danilo Babin; Aleksandra Pizurica (Comput. Methods Programs Biomed., 2024)

Evaluation of Shallow Convolutional Neural Network in Open-World Chart Image Classification. - Filip Bajic; Marija Habijan; Kresimir Nenadic (Informatica (Slovenia), 2024)