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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)- 2023
- [j2]Marin Bencevic, Yuming Qiu, Irena Galic, Aleksandra Pizurica:
Segment-then-Segment: Context-Preserving Crop-Based Segmentation for Large Biomedical Images. Sensors 23(2): 633 (2023) - [c2]Nicolas Vercheval, Marin Bencevic, Dario Muzevic, Irena Galic, Aleksandra Pizurica:
Counterfactual Functional Connectomes for Neurological Classifier Selection. EUSIPCO 2023: 1050-1054 - 2022
- [c1]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 - [i4]Marin Bencevic, Marija Habijan, Irena Galic:
Epicardial Adipose Tissue Segmentation from CT Images with A Semi-3D Neural Network. CoRR abs/2204.12904 (2022) - [i3]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) - [i2]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) - [i1]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) - 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)
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