Danilo Babin
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- Cardiac Imaging and Diagnostics
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- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
Papers in
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- Retinal Imaging and Analysis 7
- Advanced MRI Techniques and Applications 5
- Cardiac Imaging and Diagnostics 5
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- Medical Image Segmentation Techniques 16
- Advanced Neural Network Applications 4
- Co-authors
- Irena Galić (13 shared papers)Aleksandra Pižurica (16 shared papers)Marija Habijan (11 shared papers)Wilfried Philips (15 shared papers)Ewout Vansteenkiste (7 shared papers)Lazar Velicki (8 shared papers)Vladimir Zlokolica (6 shared papers)Patrick Segers (3 shared papers)
In The Last Decade
Danilo Babin
33 papers receiving 345 citations
Peers
Comparison fields: 5 of 54
- Radiology, Nuclear Medicine and Imaging 151
- Computer Vision and Pattern Recognition 114
- Cardiology and Cardiovascular Medicine 120
- Health Informatics 5
- Neurology 34
Countries citing papers authored by Danilo Babin
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
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-authors
The 25 scholars most cited alongside Danilo Babin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 40 | |
| 2 | 2020 | 30 | |
| 3 | 2013 | 27 | |
| 4 | 2014 | 23 | |
| 5 | 2020 | 22 | |
| 6 | 2016 | 22 | |
| 7 | 2019 | 20 | |
| 8 | 2017 | 20 | |
| 9 | 2012 | 18 | |
| 10 | 2024 | 18 | |
| 11 | 2017 | 18 | |
| 12 | 2018 | 16 | |
| 13 | 2020 | 11 | |
| 14 | 2021 | 10 | |
| 15 | 2009 | 7 | |
| 16 | 2011 | 7 | |
| 17 | The shortest path calculation between points of interest in 3-D MRI images of blood vessels | 2008 | 7 |
| 18 | 2013 | 7 | |
| 19 | 2022 | 6 | |
| 20 | 2020 | 4 |
About Danilo Babin
Danilo Babin is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Cardiology and Cardiovascular Medicine, Surgery and Pulmonary and Respiratory Medicine, having authored 38 papers that have together received 355 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (16 papers), Retinal Imaging and Analysis (7 papers), Advanced MRI Techniques and Applications (5 papers), Cardiac Imaging and Diagnostics (5 papers), Advanced X-ray and CT Imaging (4 papers), Advanced Neural Network Applications (4 papers), Vascular Malformations Diagnosis and Treatment (4 papers) and Cerebrovascular and Carotid Artery Diseases (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (151 citations), Computer Vision and Pattern Recognition (114 citations), Cardiology and Cardiovascular Medicine (120 citations), Health Informatics (5 citations) and Neurology (34 citations). Danilo Babin has collaborated with scholars based in Belgium, Croatia and Serbia. Frequent co-authors include Irena Galić, Aleksandra Pižurica, Marija Habijan, Wilfried Philips, Ewout Vansteenkiste, Lazar Velicki, Vladimir Zlokolica, Patrick Segers, Luc Van Bortel and Jonas De Vylder. Their work appears in journals such as Computers in Biology and Medicine, Medical Image Analysis, Scientific Reports, Orphanet Journal of Rare Diseases and Biomedical Optics Express.
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.