Tom Eelbode
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
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- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
Papers in
- Oncology 10
- Colorectal Cancer Screening and Detection 10
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- Artificial Intelligence in Healthcare and Education 3
- Co-authors
- Raf Bisschops (16 shared papers)Frederik Maes (11 shared papers)Dirk Vandermeulen (1 shared paper)Matthew B. Blaschko (1 shared paper)Jeroen Bertels (1 shared paper)Maxim Berman (1 shared paper)Peter Bossuyt (5 shared papers)Severine A.R.A. Vermeire (5 shared papers)
In The Last Decade
Tom Eelbode
20 papers receiving 696 citations
Tom Eelbode's Hit Papers
Peers
Comparison fields: 5 of 69
- Health Informatics 103
- Computer Vision and Pattern Recognition 183
- Oncology 132
- Artificial Intelligence 167
- Genetics 130
Countries citing papers authored by Tom Eelbode
This map shows the geographic impact of Tom Eelbode'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 Tom Eelbode with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Eelbode more than expected).
Fields of papers citing papers by Tom Eelbode
This network shows the impact of papers produced by Tom Eelbode. 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 Tom Eelbode. The network helps show where Tom Eelbode may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Eelbode, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Optimization for Medical Image Segmentation: Theory and Practice When Evaluating With Dice Score or Jaccard Index Hit paper breakdown → | 2020 | 300 |
| 2 | 2022 | 114 | |
| 3 | 2020 | 107 | |
| 4 | 2020 | 58 | |
| 5 | 2020 | 35 | |
| 6 | 2020 | 32 | |
| 7 | 2020 | 24 | |
| 8 | 2020 | 12 | |
| 9 | 2024 | 12 | |
| 10 | 2024 | 8 | |
| 11 | 2024 | 5 | |
| 12 | Multi-region segmentation of IVUS images for endovascular procedures | 2017 | 1 |
| 13 | 2019 | 1 | |
| 14 | 2019 | 1 | |
| 15 | 2019 | 1 | |
| 16 | 2020 | 1 | |
| 17 | 2021 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2023 | 1 | |
| 20 | 2025 | 1 |
About Tom Eelbode
Tom Eelbode is a scholar working on Oncology, Health Informatics, Artificial Intelligence, Genetics and Family Practice, having authored 21 papers that have together received 716 indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (10 papers), AI in cancer detection (7 papers), Inflammatory Bowel Disease (5 papers), Artificial Intelligence in Healthcare and Education (3 papers), Medical Image Segmentation Techniques (2 papers), Gastrointestinal Bleeding Diagnosis and Treatment (1 paper), Healthcare cost, quality, practices (1 paper) and COVID-19 diagnosis using AI (1 paper). The work is most often cited by research in Health Informatics (103 citations), Computer Vision and Pattern Recognition (183 citations), Oncology (132 citations), Artificial Intelligence (167 citations) and Genetics (130 citations). Tom Eelbode has collaborated with scholars based in Belgium, Germany and Italy. Frequent co-authors include Raf Bisschops, Frederik Maes, Dirk Vandermeulen, Matthew B. Blaschko, Jeroen Bertels, Maxim Berman, Peter Bossuyt, Severine A.R.A. Vermeire, Gert De Hertogh and Pieter Sinonquel. Their work appears in journals such as Gut, Endoscopy, Gastroenterology, Gastrointestinal Endoscopy and Journal of Crohn s and Colitis.
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.