Tom Eelbode

938 total citations · 1 hit paper
17 papers, 461 citations indexed

About

Tom Eelbode is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Genetics. According to data from OpenAlex, Tom Eelbode has authored 17 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 6 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Genetics. Recurrent topics in Tom Eelbode's work include Colorectal Cancer Screening and Detection (11 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Inflammatory Bowel Disease (6 papers). Tom Eelbode is often cited by papers focused on Colorectal Cancer Screening and Detection (11 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Inflammatory Bowel Disease (6 papers). Tom Eelbode collaborates with scholars based in Belgium, Italy and Germany. Tom Eelbode's co-authors include Raf Bisschops, Frederik Maes, Dirk Vandermeulen, Jeroen Bertels, Maxim Berman, Matthew B. Blaschko, Peter Bossuyt, Séverine Vermeire, Gert De Hertogh and Pieter Sinonquel and has published in prestigious journals such as Gastroenterology, Gut and IEEE Transactions on Medical Imaging.

In The Last Decade

Tom Eelbode

17 papers receiving 449 citations

Hit Papers

Optimization for Medical Image Segmentation: Theory and P... 2020 2026 2022 2024 2020 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Optimization for Medical Image Segmentation: Theory and Practice When Evaluating With Dice Score or Jaccard Index
    2020 250 citations Tom Eelbode, Jeroen Bertels et al. IEEE Transactions on Medical Imaging profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tom Eelbode Belgium 6 165 142 96 96 89 17 461
Vajira Thambawita Norway 8 162 1.0× 156 1.1× 152 1.6× 16 0.2× 175 2.0× 23 507
Michal Amitai Israel 13 88 0.5× 54 0.4× 55 0.6× 166 1.7× 78 0.9× 30 417
Pia H. Smedsrud Norway 5 223 1.4× 228 1.6× 181 1.9× 15 0.2× 200 2.2× 8 500
Caixia Dong China 12 118 0.7× 191 1.3× 185 1.9× 9 0.1× 179 2.0× 32 563
Hidenori Sakanashi Japan 12 167 1.0× 119 0.8× 97 1.0× 9 0.1× 309 3.5× 66 624
Talal Alkayali United States 5 243 1.5× 347 2.4× 54 0.6× 10 0.1× 170 1.9× 23 555
Keewon Shin South Korea 9 199 1.2× 64 0.5× 56 0.6× 8 0.1× 122 1.4× 21 455
Fayu Liu China 14 143 0.9× 110 0.8× 89 0.9× 37 0.4× 117 1.3× 34 671
Hayato Itoh Japan 10 210 1.3× 346 2.4× 92 1.0× 10 0.1× 109 1.2× 38 514
Michael Gadermayr Austria 11 149 0.9× 55 0.4× 159 1.7× 7 0.1× 234 2.6× 37 461

Countries citing papers authored by Tom Eelbode

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Tom Eelbode

This figure shows the co-authorship network connecting the top 25 collaborators of Tom Eelbode. A scholar is included among the top collaborators of Tom Eelbode 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 Tom Eelbode. Tom Eelbode is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Sinonquel, Pieter, Tom Eelbode, Hiroki Watanabe, et al.. (2025). Real-time automated assessment of histological disease activity in patients with ulcerative colitis using single-wavelength endoscopy technology. Endoscopy. 57(7). 753–759. 1 indexed citations
2.
Sinonquel, Pieter, Tom Eelbode, Oliver Pech, et al.. (2024). Clinical consequences of computer-aided colorectal polyp detection. Gut. 73(12). 1974–1983. 5 indexed citations
3.
Sinonquel, Pieter, Tom Eelbode, Hiroki Watanabe, et al.. (2024). Development of an Automated Tool for the Estimation of Histological Remission in Ulcerative Colitis Using Single-Wavelength Endoscopy Technology. Journal of Crohn s and Colitis. 19(5). 3 indexed citations
4.
Sinonquel, Pieter, Tom Eelbode, Oliver Pech, et al.. (2023). CLINICAL VALIDATION OF A COMPUTER-AIDED DETECTION MODEL FOR COLORECTAL POLYP DETECTION (CAD-ARTIPOD) TRIAL USING A SECOND OBSERVER AND REAL-TIME UNBLINDING. Gastrointestinal Endoscopy. 97(6). AB712–AB712. 1 indexed citations
5.
Eelbode, Tom, et al.. (2023). A VOTING-BASED ENSEMBLE MODEL FOR IMPROVED AUTOMATED CLASSIFICATION OF COLORECTAL POLYPS INCLUDING SESSILE SERRATED LESIONS. Gastrointestinal Endoscopy. 97(6). AB468–AB468. 1 indexed citations
6.
Bossuyt, Peter, Hiroshi Nakase, Séverine Vermeire, et al.. (2020). Automatic, computer-aided determination of endoscopic and histological inflammation in patients with mild to moderate ulcerative colitis based on red density. Gut. 69(10). 1778–1786. 95 indexed citations
7.
Sinonquel, Pieter, Tom Eelbode, Cesare Hassan, et al.. (2020). Real-time unblinding for validation of a new CADe tool for colorectal polyp detection. Gut. 70(4). 641–643. 12 indexed citations
8.
Eelbode, Tom, Jeroen Bertels, Maxim Berman, et al.. (2020). Optimization for Medical Image Segmentation: Theory and Practice When Evaluating With Dice Score or Jaccard Index. IEEE Transactions on Medical Imaging. 39(11). 3679–3690. 250 indexed citations breakdown →
9.
Bossuyt, Peter, Gert De Hertogh, Tom Eelbode, Séverine Vermeire, & Raf Bisschops. (2020). Computer-Aided Diagnosis With Monochromatic Light Endoscopy for Scoring Histologic Remission in Ulcerative Colitis. Gastroenterology. 160(1). 23–25. 28 indexed citations
10.
Eelbode, Tom, Pieter Sinonquel, Frederik Maes, & Raf Bisschops. (2020). Pitfalls in training and validation of deep learning systems. Best Practice & Research Clinical Gastroenterology. 52-53. 101712–101712. 28 indexed citations
11.
Bossuyt, Peter, Gert De Hertogh, Tom Eelbode, Séverine Vermeire, & Raf Bisschops. (2020). 372 MUCOSAL CAPILLARY PATTERN RECOGNITION WITH REAL-TIME COMPUTER-BASED IMAGE ANALYSIS DETECTS HISTOLOGICAL REMISSION IN ULCERATIVE COLITIS.. Gastroenterology. 158(6). S–68. 1 indexed citations
12.
Bossuyt, Peter, Gert De Hertogh, Tom Eelbode, Séverine Vermeire, & Raf Bisschops. (2020). P269 Mucosal capillary pattern recognition based on real-time computer-aided image analysis adequately detects histological remission in ulcerative colitis. Journal of Crohn s and Colitis. 14(Supplement_1). S284–S285. 1 indexed citations
13.
Sinonquel, Pieter, Tom Eelbode, Peter Bossuyt, Frederik Maes, & Raf Bisschops. (2020). Artificial intelligence and its impact on quality improvement in upper and lower gastrointestinal endoscopy. Digestive Endoscopy. 33(2). 242–253. 23 indexed citations
14.
Eelbode, Tom, et al.. (2020). Sa2012 AUTOMATED POLYP SIZE ESTIMATION WITH DEEP LEARNING REDUCES INTEROBSERVER VARIABILITY. Gastrointestinal Endoscopy. 91(6). AB241–AB242. 4 indexed citations
15.
Eelbode, Tom, Ingrid Demedts, Raf Bisschops, et al.. (2019). Tu1931 INCORPORATION OF TEMPORAL INFORMATION IN A DEEP NEURAL NETWORK IMPROVES PERFORMANCE LEVEL FOR AUTOMATED POLYP DETECTION AND DELINEATION. Gastrointestinal Endoscopy. 89(6). AB618–AB619. 4 indexed citations
16.
Eelbode, Tom, Cesare Hassan, Ingrid Demedts, et al.. (2019). Tu1959 BLI AND LCI IMPROVE POLYP DETECTION AND DELINEATION ACCURACY FOR DEEP LEARNING NETWORKS. Gastrointestinal Endoscopy. 89(6). AB632–AB632. 3 indexed citations
17.
Eelbode, Tom, Ingrid Demedts, Philip Roelandt, et al.. (2019). INCORPORATION OF TEMPORAL INFORMATION IN A DEEP NEURAL NETWORK IMPROVES PERFORMANCE LEVEL FOR AUTOMATED POLYP DETECTION AND DELINEATION. Endoscopy. 1 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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