Segmentation of brain blood vessels using projections in 3-D CT angiography images. - Danilo Babin; Ewout Vansteenkiste; Aleksandra Pizurica; Wilfried Philips (EMBC, 2011)

Centerline calculation for extracting abdominal aorta in 3-D MRI images. - Danilo Babin; Ewout Vansteenkiste; Aleksandra Pizurica; Wilfried Philips (EMBC, 2012)

Generalized pixel profiling and comparative segmentation with application to arteriovenous malformation segmentation. - Danilo Babin; Aleksandra Pizurica; Rik Bellens; Johan de Bock; Yanfeng Shang; Bart Goossens; Ewout Vansteenkiste; Wilfried Philips (Medical Image Anal., 2012)

Skeleton calculation for automatic extraction of arteriovenous malformation in 3-D CTA images. - Danilo Babin; Michail Spyrantis; Aleksandra Pizurica; Wilfried Philips (ISBI, 2014)

Robust segmentation methods with an application to aortic pulse wave velocity calculation. - Danilo Babin; Daniel Devos; Aleksandra Pizurica; Jos J. M. Westenberg; Ewout Vansteenkiste; Wilfried Philips (Comput. Medical Imaging Graph., 2014)

Skeletonization method for vessel delineation of arteriovenous malformation. - Danilo Babin; Aleksandra Pizurica; Lazar U. Velicki; V. Matic; Irena Galic; Hrvoje Leventic; Vladimir Zlokolica; Wilfried Philips (Comput. Biol. Medicine, 2018)

Whole Heart Segmentation from CT images Using 3D U-Net architecture. - Marija Habijan; Hrvoje Leventic; Irena Galic; Danilo Babin (IWSSIP, 2019)

Left atrial appendage segmentation from 3D CCTA images for occluder placement procedure. - Hrvoje Leventic; Danilo Babin; Lazar U. Velicki; Daniel Devos; Irena Galic; Vladimir Zlokolica; Kresimir Romic; Aleksandra Pizurica (Comput. Biol. Medicine, 2019)

Segmentation of Phase-Contrast MR Images for Aortic Pulse Wave Velocity Measurements. - Danilo Babin; Daniel Devos; Ljiljana Platisa; Ljubomir Jovanov; Marija Habijan; Hrvoje Leventic; Wilfried Philips (ACIVS, 2020)

Segmentation and Quantification of Bi-Ventricles and Myocardium Using 3D SERes-U-Net. - Marija Habijan; Irena Galic; Hrvoje Leventic; Kresimir Romic; Danilo Babin (IWSSIP, 2021)

Training on Polar Image Transformations Improves Biomedical Image Segmentation. - Marin Bencevic; Irena Galic; Marija Habijan; Danilo Babin (IEEE Access, 2021)

Segmentation of endothelial cells of the cornea from the distance map of confocal microscope images. - Raidel Herrera-Pereda; Alberto Taboada-Crispí; Danilo Babin; Wilfried Philips (Comput. Biol. Medicine, 2021)

A Review On digital image processing techniques for in-Vivo confocal images of the cornea. - Raidel Herrera-Pereda; Alberto Taboada-Crispí; Danilo Babin; Wilfried Philips; Márcio Holsbach Costa (Medical Image Anal., 2021)

A Survey of Left Atrial Appendage Segmentation and Analysis in 3D and 4D Medical Images. - Hrvoje Leventic; Marin Bencevic; Danilo Babin; Marija Habijan; Irena Galic (CoRR, 2022)

Using the Polar Transform for Efficient Deep Learning-Based Aorta Segmentation in CTA Images. - Marin Bencevic; Marija Habijan; Irena Galic; Danilo Babin (CoRR, 2022)

Deep-Learning Based Quantification of Bovine Oocyte Quality From Microscopy Images. - Matilde Costa; Anoek Strumane; Annelies Raes; Ann Van Soom; Danilo Babin; Jan Aelterman (EMBC, 2023)

Real-Time Hyperspectral Imaging for Non-Invasive Monitoring of Tissue Ischemia. - Anoek Strumane; Jens D. Winne; Danilo Babin; Jan Aelterman; Hiep Luong 001; Wilfried Philips (SENSORS, 2023)

Directed Graph Analysis on Theta-Gamma Phase-Amplitude Coupling: Insights into Parkinson Disease EEG Data. - Mohammadjavad Sedghizadeh; Mohammad Hossein Heidari Beni; Hamid K. Aghajan; Danilo Babin; Wilfried Philips (EUSIPCO, 2024)

Understanding skin color bias in deep learning-based skin lesion segmentation. - Marin Bencevic; Marija Habijan; Irena Galic; Danilo Babin; Aleksandra Pizurica (Comput. Methods Programs Biomed., 2024)

Large Scale in vivo Acquisition, Segmentation and 3D Reconstruction of Cortical Vasculature using μDoppler Ultrasound Imaging. - Anoek Strumane; Théo Lambert; Jan Aelterman; Danilo Babin; Gabriel Montaldo; Wilfried Philips; Clément Brunner; Alan Urban (Neuroinformatics, 2025)

Clinical Validation of Deep Learning for Real-Time Tissue Oxygenation Estimation Using Spectral Imaging. - Jens D. Winne; Siri Willems; Siri Luthman; Danilo Babin; Hiep Luong 001; Wim Ceelen (CoRR, 2025)