Danilo Babin

586 total citations
38 papers, 355 citations indexed

About

Danilo Babin is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Danilo Babin has authored 38 papers receiving a total of 355 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Radiology, Nuclear Medicine and Imaging, 18 papers in Computer Vision and Pattern Recognition and 12 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Danilo Babin's work include Medical Image Segmentation Techniques (16 papers), Retinal Imaging and Analysis (7 papers) and Cardiac Imaging and Diagnostics (5 papers). Danilo Babin is often cited by papers focused on Medical Image Segmentation Techniques (16 papers), Retinal Imaging and Analysis (7 papers) and Cardiac Imaging and Diagnostics (5 papers). Danilo Babin collaborates with scholars based in Belgium, Croatia and Serbia. Danilo Babin's co-authors include Irena Galić, Aleksandra Pižurica, Marija Habijan, Wilfried Philips, Ewout Vansteenkiste, Lazar Velicki, Vladimir Zlokolica, Patrick Segers, Ernst Rietzschel and Jonas De Vylder and has published in prestigious journals such as Scientific Reports, IEEE Access and Physics in Medicine and Biology.

In The Last Decade

Danilo Babin

33 papers receiving 345 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Danilo Babin Belgium 12 151 120 114 73 64 38 355
Sara El Hadji Italy 4 262 1.7× 27 0.2× 199 1.7× 97 1.3× 82 1.3× 4 421
Ying Fang China 13 266 1.8× 27 0.2× 116 1.0× 50 0.7× 60 0.9× 54 487
Alexandra Groth Germany 10 58 0.4× 149 1.2× 42 0.4× 228 3.1× 47 0.7× 24 395
Deepak R. Chittajallu United States 11 174 1.2× 29 0.2× 71 0.6× 44 0.6× 134 2.1× 24 435
Eva Nyktari United Kingdom 10 116 0.8× 223 1.9× 34 0.3× 28 0.4× 33 0.5× 28 324
Iván Macía Spain 8 81 0.5× 52 0.4× 69 0.6× 108 1.5× 69 1.1× 26 275
Rahil Shahzad Netherlands 15 400 2.6× 214 1.8× 99 0.9× 180 2.5× 165 2.6× 29 649
Pencilla Lang Canada 12 133 0.9× 66 0.6× 32 0.3× 99 1.4× 67 1.0× 50 364
J. Baruthio France 9 154 1.0× 73 0.6× 136 1.2× 77 1.1× 52 0.8× 24 294
Cristian Izquierdo Spain 6 203 1.3× 90 0.8× 23 0.2× 23 0.3× 93 1.5× 6 339

Countries citing papers authored by Danilo Babin

Since Specialization
Citations

This map shows the geographic impact of Danilo Babin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Danilo Babin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danilo Babin more than expected).

Fields of papers citing papers by Danilo Babin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danilo Babin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Danilo Babin. The network helps show where Danilo Babin may publish in the future.

Co-authorship network of co-authors of Danilo Babin

This figure shows the co-authorship network connecting the top 25 collaborators of Danilo Babin. A scholar is included among the top collaborators of Danilo Babin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Danilo Babin. Danilo Babin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Galić, Irena, et al.. (2025). Advancing Medical Education and Planning Through Extended Reality: A Mini Review of XR Applications in Medicine. Communications in computer and information science. 268–282.
2.
Babin, Danilo, et al.. (2025). Artificial intelligence outperforms humans in morphology-based oocyte selection in cattle. Scientific Reports. 15(1). 21829–21829. 1 indexed citations
3.
Aghajan, Hamid, et al.. (2024). Directed Graph Analysis on Theta-Gamma Phase-Amplitude Coupling: Insights into Parkinson Disease EEG Data. Ghent University Academic Bibliography (Ghent University). 1541–1545.
4.
Babin, Danilo, et al.. (2023). Deep Learning for Detection of Structural Sacroiliac Joint Lesions on Pelvic Computed Tomography: Multicenter Development and Validation. Seminars in Musculoskeletal Radiology. 27(S 01). S1–S24. 1 indexed citations
5.
6.
Habijan, Marija, et al.. (2022). Using the Polar Transform for Efficient Deep Learning-Based Aorta Segmentation in CTA Images. Ghent University Academic Bibliography (Ghent University). 191–194. 6 indexed citations
7.
Babin, Danilo, et al.. (2021). A Review On digital image processing techniques for in-Vivo confocal images of the cornea. Medical Image Analysis. 73. 102188–102188. 10 indexed citations
8.
Habijan, Marija, et al.. (2020). Abdominal Aortic Aneurysm Segmentation from CT Images using Modified 3D U-Net with Deep Supervision. Ghent University Academic Bibliography (Ghent University). 123–128. 11 indexed citations
9.
Habijan, Marija, et al.. (2020). Overview of the Whole Heart and Heart Chamber Segmentation Methods. Cardiovascular Engineering and Technology. 11(6). 725–747. 30 indexed citations
10.
Habijan, Marija, et al.. (2020). Neural Network based Whole Heart Segmentation from 3D CT images. International journal of electrical and computer engineering systems. 11(1). 25–31. 1 indexed citations
11.
Mosquera, Laura Muiño, Hans De Wilde, Danilo Babin, et al.. (2020). Myocardial disease and ventricular arrhythmia in Marfan syndrome: a prospective study. Orphanet Journal of Rare Diseases. 15(1). 300–300. 22 indexed citations
12.
Habijan, Marija, et al.. (2020). Centerline Tracking of the Single Coronary Artery from X-ray Angiograms. Ghent University Academic Bibliography (Ghent University). 117–121. 4 indexed citations
13.
Babin, Danilo, Lazar Velicki, David Devos, et al.. (2018). Left atrial appendage segmentation from 3D CCTA images for occluder placement procedure. Computers in Biology and Medicine. 104. 163–174. 16 indexed citations
14.
Groote, Katya De, Danilo Babin, Laurent Demulier, et al.. (2016). Proximal aortic stiffening in Turner patients may be present before dilation can be detected: a segmental functional MRI study. Journal of Cardiovascular Magnetic Resonance. 19(1). 27–27. 22 indexed citations
15.
Zlokolica, Vladimir, Lazar Velicki, Marko Janev, et al.. (2014). Epicardial fat registration by local adaptive morphology-thresholding based 2D segmentation. 1–4. 2 indexed citations
16.
Babin, Danilo, Aleksandra Pižurica, Jonas De Vylder, Ewout Vansteenkiste, & Wilfried Philips. (2013). Brain blood vessel segmentation using line-shaped profiles. Physics in Medicine and Biology. 58(22). 8041–8061. 27 indexed citations
17.
Babin, Danilo, Ewout Vansteenkiste, Aleksandra Pižurica, & Wilfried Philips. (2012). Centerline calculation for extracting abdominal aorta in 3-D MRI images. PubMed. 1. 3982–3985. 2 indexed citations
18.
Babin, Danilo, Aleksandra Pižurica, & Wilfried Philips. (2011). Robust segmentation methods for aortic pulse wave velocity measurement. Ghent University Academic Bibliography (Ghent University). 1 indexed citations
19.
Babin, Danilo, Ewout Vansteenkiste, Aleksandra Pižurica, & Wilfried Philips. (2011). Segmentation of brain blood vessels using projections in 3-D CT angiography images. PubMed. 1. 8475–8478. 7 indexed citations
20.
Babin, Danilo, et al.. (2009). Segmentation and length measurement of the abdominal blood vessels in 3-D MRI images. PubMed. 1. 4399–4402. 7 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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