| Training on polar image transformations improves biomedical image segmentation M Benčević, I Galić, M Habijan, D Babin IEEE access 9, 133365-133375, 2021 | 40 | 2021 |
| Self-supervised Learning as a Means to Reduce the Need for Labeled Data in Medical Image Analysis M Benčević, M Habijan, I Galić, A Pizurica EUSIPCO 2022, 30th European Signal Processing Conference, 2022 | 13 | 2022 |
| Recent progress in epicardial and pericardial adipose tissue segmentation and quantification based on deep learning: a systematic review M Benčević, I Galić, M Habijan, A Pižurica Applied Sciences 12 (10), 5217, 2022 | 9 | 2022 |
| Epicardial adipose tissue segmentation from CT images with a semi-3D neural network M Benčević, M Habijan, I Galić 2021 International Symposium ELMAR, 87-90, 2021 | 8 | 2021 |
| Using the polar transform for efficient deep learning-based aorta segmentation in CTA images M Benčević, M Habijan, I Galić, D Babin 2022 International Symposium ELMAR, 191-194, 2022 | 7 | 2022 |
| Segment-then-segment: context-preserving crop-based segmentation for large biomedical images M Benčević, Y Qiu, I Galić, A Pižurica Sensors 23 (2), 633, 2023 | 1 | 2023 |
| A Survey of Left Atrial Appendage Segmentation and Analysis in 3D and 4D Medical Images H Leventic, M Bencevic, D Babin, M Habijan The 28th International Conference on Systems, Signals and Image Processing, 2021 | 1 | 2021 |
| Understanding skin color bias in deep learning-based skin lesion segmentation M Benčević, M Habijan, I Galić, D Babin, A Pižurica Computer methods and programs in biomedicine 245, 108044, 2024 | | 2024 |
| Counterfactual Functional Connectomes for Neurological Classifier Selection N Vercheval, M Benčević, D Mužević, I Galić, A Pižurica 2023 31st European Signal Processing Conference (EUSIPCO), 1050-1054, 2023 | | 2023 |
Marija HabijanFaculty of Electrical Engineering, Computer Science and Information Technology OsijekVerified email at ferit.hr
