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ORCIDMarija Habijan
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2020 – today
- 2024
[j3]Marin Bencevic
, Marija Habijan, Irena Galic, Danilo Babin, Aleksandra Pizurica:
Understanding skin color bias in deep learning-based skin lesion segmentation. Comput. Methods Programs Biomed. 245: 108044 (2024)- [c7]Marija Habijan, Irena Galic:
Ensemble Transfer Learning for Lymphoma Classification. IWSSIP 2024: 1-6 - 2023
- [c6]Marija Habijan, Irena Galic, Aleksandra Pizurica:
Classification of Arrhythmia ECG Signals using Convolutional Neural Network. IWSSIP 2023: 1-5 - 2022
- [j2]Filip Bajic, Ognjen Orel, Marija Habijan:
A Multi-Purpose Shallow Convolutional Neural Network for Chart Images. Sensors 22(20): 7695 (2022) - [c5]Marin Bencevic, Marija Habijan, Irena Galic, Aleksandra Pizurica:
Self-supervised Learning as a Means to Reduce the Need for Labeled Data in Medical Image Analysis. EUSIPCO 2022: 1328-1332 - [c4]Marija Habijan, Irena Galic:
Automating Blood Flow Simulation Through the Aorta in Patient-specific CT Images. HICSS 2022: 1-9 - [i6]Marin Bencevic, Marija Habijan, Irena Galic:
Epicardial Adipose Tissue Segmentation from CT Images with A Semi-3D Neural Network. CoRR abs/2204.12904 (2022) - [i5]Hrvoje Leventic, Marin Bencevic, Danilo Babin, Marija Habijan, Irena Galic:
A Survey of Left Atrial Appendage Segmentation and Analysis in 3D and 4D Medical Images. CoRR abs/2205.06486 (2022) - [i4]Marija Habijan, Irena Galic:
Generation of Artificial CT Images using Patch-based Conditional Generative Adversarial Networks. CoRR abs/2205.09842 (2022) - [i3]Marin Bencevic, Marija Habijan, Irena Galic, Aleksandra Pizurica:
Self-Supervised Learning as a Means To Reduce the Need for Labeled Data in Medical Image Analysis. CoRR abs/2206.00344 (2022) - [i2]Marin Bencevic, Marija Habijan, Irena Galic, Danilo Babin:
Using the Polar Transform for Efficient Deep Learning-Based Aorta Segmentation in CTA Images. CoRR abs/2206.10294 (2022) - [i1]Kresimir Romic, Irena Galic, Marija Habijan, Hrvoje Leventic:
Evaluation Framework for Computer Vision-Based Guidance of the Visually Impaired. CoRR abs/2209.09676 (2022) - 2021
- [j1]Marin Bencevic, Irena Galic, Marija Habijan, Danilo Babin:
Training on Polar Image Transformations Improves Biomedical Image Segmentation. IEEE Access 9: 133365-133375 (2021) - [c3]Marija Habijan, Irena Galic, Hrvoje Leventic, Kresimir Romic, Danilo Babin:
Segmentation and Quantification of Bi-Ventricles and Myocardium Using 3D SERes-U-Net. IWSSIP 2021: 3-14 - 2020
- [c2]Danilo Babin, Daniel Devos, Ljiljana Platisa, Ljubomir Jovanov, Marija Habijan, Hrvoje Leventic, Wilfried Philips:
Segmentation of Phase-Contrast MR Images for Aortic Pulse Wave Velocity Measurements. ACIVS 2020: 77-86
2010 – 2019
- 2019
- [c1]Marija Habijan, Hrvoje Leventic, Irena Galic, Danilo Babin:
Whole Heart Segmentation from CT images Using 3D U-Net architecture. IWSSIP 2019: 121-126 - [e1]Snjezana Rimac-Drlje, Drago Zagar, Irena Galic, Goran Martinovic, Denis Vranjes, Marija Habijan:
International Conference on Systems, Signals and Image Processing, IWSSIP 2019, Osijek, Croatia, June 5-7, 2019. IEEE 2019, ISBN 978-1-7281-3253-2 [contents]
Coauthor Index
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