Ghent University Academic Bibliography

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Your filters: cql: author="Galić, Irena" or (type any "bookEditor issueEditor" and editor="Galić, Irena")

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Segment-then-segment : context-preserving crop-based segmentation for large biomedical images

Marin Benčević (UGent) , Yuming Qiu (UGent) , Irena Galić and Aleksandra Pizurica (UGent)

(2023) SENSORS. 23(2).
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Counterfactual functional connectomes for neurological classifier selection

Nicolas Vercheval (UGent) , Marin Benčević (UGent) , Dario Mužević,, Irena Galić and Aleksandra Pizurica (UGent)

(2023) 2023 31st European Signal Processing Conference (EUSIPCO). p.1050-1054
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Automating blood flow simulation through the aorta in patient-specific CT images

Marija Habijan and Irena Galić

(2022) Proceedings of the 55th Hawaii International Conference on System Sciences (HICSS 2022). In Proceedings of the Annual Hawaii International Conference on System Sciences p.3642-3650
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AB-ResUNet+ : improving multiple cardiovascular structure segmentation from computed tomography angiography images

Marija Habijan (UGent) , Irena Galić, Krešimir Romić and Hrvoje Leventić

(2022) APPLIED SCIENCES-BASEL. 12(6).
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Recent progress in epicardial and pericardial adipose tissue segmentation and quantification based on deep learning : a systematic review

Marin Benčević (UGent) , Irena Galić, Marija Habijan (UGent) and Aleksandra Pizurica (UGent)

(2022) APPLIED SCIENCES-BASEL. 12(10).
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Using the polar transform for efficient deep learning-based aorta segmentation in CTA images

Marin Benčević (UGent) , Marija Habijan, Irena Galić and Danilo Babin (UGent)

(2022) 2022 International Symposium ELMAR, proceedings. p.191-194
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Self-supervised learning as a means to reduce the need for labeled data in medical image analysis

Marin Benčević (UGent) , Marija Habijan, Irena Galić and Aleksandra Pizurica (UGent)

(2022) 2022 30th European Signal Processing Conference (EUSIPCO). In European Signal Processing Conference p.1328-1332
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Generation of artificial CT images using patch-based conditional generative adversarial networks

Marija Habijan (UGent) and Irena Galic

(2022) 2022 7th International Conference on Smart and Sustainable Technologies (SpliTech).
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3D U-Net based method for fast segmentation of whole heart from CT images

Filip Novoselnik, Hrvoje Leventic, Irena Galic and Danilo Babin (UGent)

(2022) 2022 International Symposium ELMAR, proceedings. p.159-164
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Segmentation and quantification of bi-ventricles and myocardium using 3D SERes-U-Net

Marija Habijan, Irena Galic, Hrvoje Leventic, Kresimir Romic and Danilo Babin (UGent)

(2022) Systems, Signals and Image Processing, 28th International Conference, IWSSIP 2021, Revised Selected Papers. In Communications in Computer and Information Science 1527. p.3-14

Academic Bibliography

Segment-then-segment : context-preserving crop-based segmentation for large biomedical images

Counterfactual functional connectomes for neurological classifier selection

Automating blood flow simulation through the aorta in patient-specific CT images

AB-ResUNet+ : improving multiple cardiovascular structure segmentation from computed tomography angiography images

Recent progress in epicardial and pericardial adipose tissue segmentation and quantification based on deep learning : a systematic review

Using the polar transform for efficient deep learning-based aorta segmentation in CTA images

Self-supervised learning as a means to reduce the need for labeled data in medical image analysis

Generation of artificial CT images using patch-based conditional generative adversarial networks

3D U-Net based method for fast segmentation of whole heart from CT images

Segmentation and quantification of bi-ventricles and myocardium using 3D SERes-U-Net

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