Ghent University Academic Bibliography

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Left atrial appendage segmentation from 3D CCTA images for occluder placement procedure

Hrvoje Leventić (UGent) , Danilo Babin (UGent) , Lazar Velicki, Daniel Devos (UGent) , Irena Galić, Vladimir Zlokolica, Krešimir Romić and Aleksandra Pizurica (UGent)

(2019) COMPUTERS IN BIOLOGY AND MEDICINE. 104. p.163-174
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Skeletonization method for vessel delineation of arteriovenous malformation

Danilo Babin (UGent) , Aleksandra Pizurica (UGent) , Lazar Velicki, Vladimir Matić, Irena Galić, Hrvoje Leventić (UGent) , Vladimir Zlokolica and Wilfried Philips (UGent)

(2018) COMPUTERS IN BIOLOGY AND MEDICINE . 93. p.93-105
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- Conference Paper
- P1
- open access
Semi-automatic left atrial appendage segmentation from 3D CCTA images

Hrvoje Leventić (UGent) , Danilo Babin (UGent) , Lazar Velicki, Irena Galić and Vladimir Zlokolica

(2017) PROCEEDINGS OF 2017 INTERNATIONAL SYMPOSIUM ELMAR. In ELMAR Proceedings p.39-42
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- Journal Article
- A1
- open access
Semiautomatic epicardial fat segmentation based on fuzzy c-means clustering and geometric ellipse fitting

Vladimir Zlokolica, Lidija Krstanović, Lazar Velicki, Branislav Popović, Marko Janev, Ratko Obradović, Nebojsa M. Ralević, Ljubomir Jovanov (UGent) and Danilo Babin (UGent)

(2017) JOURNAL OF HEALTHCARE ENGINEERING.
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- Conference Paper
- C3
- open access
4D CT Cardiac image enhancement for Subjective Medical Quality Perception of the Left Ventricle

Hrvoje Leventić (UGent) , Časlav Livada, Irena Galić, Vladimir Zlokolica, Lazar Velicki, Danilo Babin (UGent) , Ratko Obradović and Bogoljub Mihajlović

(2015) Medical Image Perception Society (MIPS) Conference XVI. p.60-60
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Pixel profiling for extraction of arteriovenous malformation in 3-D CTA images

Danilo Babin (UGent) , Michail Spyrantis, Aleksandra Pizurica (UGent) , Wilfried Philips (UGent) , Lazar Velicki and Vladimir Zlokolica

(2014) ELMAR Proceedings. p.183-186
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Epicardial fat registration by local adaptive morphology-thresholding based 2D segmentation

Vladimir Zlokolica, Lazar Velicki, Marko Janev, David Mitrinovic, Danilo Babin (UGent) , Nebojsa Ralevic, Nada Cemerlic-Adic, Ratko Obradovic and Irena Galic

(2014) ELMAR Proceedings. p.187-190
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- Journal Article
- A1
Multiresolution denoising for optical coherence tomography: a review and evaluation

Aleksandra Pizurica (UGent) , Ljubomir Jovanov (UGent) , Bruno Huysmans (UGent) , Vladimir Zlokolica, Paul De Keyser, Frans Dhaenens and Wilfried Philips (UGent)

(2008) CURRENT MEDICAL IMAGING REVIEWS. 4(4). p.270-284
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- Journal Article
- A1
- open access
Video denoising by fuzzy motion and detail adaptive averaging

Tom Mélange (UGent) , Mike Nachtegael (UGent) , Etienne Kerre (UGent) , Vladimir Zlokolica, Stefan Schulte, Valerie De Witte (UGent) , Aleksandra Pizurica (UGent) and Wilfried Philips (UGent)

(2008) JOURNAL OF ELECTRONIC IMAGING. 17(4).
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- Conference Paper
- C1
- open access
Characterization of correlated noise in video sequences and its applications to noise removal

Nemanja Petrovic (UGent) , Vladimir Zlokolica, Ljubomir Jovanov (UGent) , Bart Goossens (UGent) , Aleksandra Pizurica (UGent) and Wilfried Philips (UGent)

(2007) Third Intern :Workshop on Video Processing and Quality Metrics for Consumer Electronics. p.1-6

Academic Bibliography

Left atrial appendage segmentation from 3D CCTA images for occluder placement procedure

Skeletonization method for vessel delineation of arteriovenous malformation

Semi-automatic left atrial appendage segmentation from 3D CCTA images

Semiautomatic epicardial fat segmentation based on fuzzy c-means clustering and geometric ellipse fitting

4D CT Cardiac image enhancement for Subjective Medical Quality Perception of the Left Ventricle

Pixel profiling for extraction of arteriovenous malformation in 3-D CTA images

Epicardial fat registration by local adaptive morphology-thresholding based 2D segmentation

Multiresolution denoising for optical coherence tomography: a review and evaluation

Video denoising by fuzzy motion and detail adaptive averaging

Characterization of correlated noise in video sequences and its applications to noise removal

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