Jeroen Bertels

901 total citations · 1 hit paper
15 papers, 527 citations indexed

About

Jeroen Bertels is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jeroen Bertels has authored 15 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 5 papers in Biomedical Engineering and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jeroen Bertels's work include Advanced Neural Network Applications (4 papers), Dental Radiography and Imaging (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Jeroen Bertels is often cited by papers focused on Advanced Neural Network Applications (4 papers), Dental Radiography and Imaging (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). Jeroen Bertels collaborates with scholars based in Belgium, South Africa and United Kingdom. Jeroen Bertels's co-authors include Dirk Vandermeulen, Frederik Maes, Tom Eelbode, Matthew B. Blaschko, Raf Bisschops, Maxim Berman, Jannick De Tobel, Patrick Thevissen, David Robben and Ann Jacklin and has published in prestigious journals such as Stroke, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Medical Imaging.

In The Last Decade

Jeroen Bertels

14 papers receiving 518 citations

Hit Papers

align trajectories

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.

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

Jeroen Bertels

RNMI

CVPR

OS

AI

BE

Felipe Kitamura Brazil

Christian Payer Austria

Shahein Tajmir United States

Alexander Bilbily Canada

Chengwen Chu Switzerland

Mark Cicero Canada

Amir H. Abdi Canada

Sehyo Yune South Korea

Brent J. Liu United States

Fuli Wu China

Felipe Kitamura Brazil

Jeroen Bertels

413 ×2.0

RNMI

88 ×0.7

CVPR

72 ×0.6

OS

232 ×2.0

AI

142 ×1.2

BE

Citations per year, relative to Jeroen Bertels Jeroen Bertels (= 1×) peers Felipe Kitamura

Countries citing papers authored by Jeroen Bertels

Since Specialization

Citations

This map shows the geographic impact of Jeroen Bertels'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 Jeroen Bertels with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeroen Bertels more than expected).

Fields of papers citing papers by Jeroen Bertels

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeroen Bertels. 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 Jeroen Bertels. The network helps show where Jeroen Bertels may publish in the future.

Co-authorship network of co-authors of Jeroen Bertels

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

All Works

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15 of 15 papers shown

1.

Bertels, Jeroen, et al.. (2024). OPG‐based dental age estimation using a data‐technical exploration of deep learning techniques. Journal of Forensic Sciences. 69(3). 919–931. 7 indexed citations

2.

Bertels, Jeroen, et al.. (2024). Phantom study of augmented reality framework to assist epicardial punctures. Journal of Medical Imaging. 11(3). 35002–35002. 1 indexed citations

3.

Bertels, Jeroen, et al.. (2023). Augmented reality guidance platform for epicardial access: a phantom study. Lirias (KU Leuven). 4. 60–60. 1 indexed citations

4.

Isensee, Fabian, Jeroen Bertels, Michael Mlynash, et al.. (2023). USE-Evaluator: Performance metrics for medical image segmentation models supervised by uncertain, small or empty reference annotations in neuroimaging. Medical Image Analysis. 90. 102927–102927. 10 indexed citations

5.

Wouters, Anke, Jeroen Bertels, Patrick Dupont, et al.. (2023). Reversibility of Diffusion-Weighted Imaging Lesions in Patients With Ischemic Stroke in the WAKE-UP Trial. Stroke. 54(6). 1560–1568. 9 indexed citations

6.

Bertels, Jeroen, et al.. (2022). Deep learning-based dental implant recognition using synthetic X-ray images. Medical & Biological Engineering & Computing. 60(10). 2951–2968. 23 indexed citations

7.

Bertels, Jeroen, Ahmed Radwan, Stefan Sunaert, et al.. (2021). Cross-Modal Distillation to Improve MRI-Based Brain Tumor Segmentation With Missing MRI Sequences. IEEE Transactions on Biomedical Engineering. 69(7). 2153–2164. 28 indexed citations

8.

Bertels, Jeroen, et al.. (2021). Improving T1w MRI-based brain tumor segmentation using cross-modal distillation. Lirias (KU Leuven). 28–28. 1 indexed citations

9.

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 →

10.

Bertels, Jeroen, David Robben, Dirk Vandermeulen, & Paul Suetens. (2020). Theoretical analysis and experimental validation of volume bias of soft Dice optimized segmentation maps in the context of inherent uncertainty. Medical Image Analysis. 67. 101833–101833. 12 indexed citations

11.

Bertels, Jeroen, et al.. (2020). Towards fully automated third molar development staging in panoramic radiographs. International Journal of Legal Medicine. 134(5). 1831–1841. 54 indexed citations

12.

Coudyzer, Walter, Jeroen Bertels, David Robben, et al.. (2020). Whole liver segmentation based on deep learning and manual adjustment for clinical use in SIRT. European Journal of Nuclear Medicine and Molecular Imaging. 47(12). 2742–2752. 47 indexed citations

13.

Buck, Stijn De, Jeroen Bertels, Chantal Van Ongeval, et al.. (2020). Automated breast cancer risk estimation on routine CT thorax scans by deep learning segmentation. Lirias. 72–72. 1 indexed citations

14.

Tobel, Jannick De, et al.. (2019). Effect of Lower Third Molar Segmentations on Automated Tooth Development Staging using a Convolutional Neural Network. Journal of Forensic Sciences. 65(2). 481–486. 57 indexed citations

15.

Bertels, Jeroen, et al.. (2013). Feedback on prescribing errors to junior doctors: exploring views, problems and preferred methods. International Journal of Clinical Pharmacy. 35(3). 332–338. 26 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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