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)

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)

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

Counterfactual Functional Connectomes for Neurological Classifier Selection. - Nicolas Vercheval; Marin Bencevic; Dario Muzevic; Irena Galic; Aleksandra Pizurica (EUSIPCO, 2023)

Segment-then-Segment: Context-Preserving Crop-Based Segmentation for Large Biomedical Images. - Marin Bencevic; Yuming Qiu; Irena Galic; Aleksandra Pizurica (Sensors, 2023)

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)

Data Efficient Deep Learning Models for Biomedical Image Segmentation. - Marin Bencevic (2024)

Skin Color Measurement from Dermatoscopic Images: An Evaluation on a Synthetic Dataset. - Marin Bencevic; Robert Sojo; Irena Galic (CoRR, 2025)