Theo van Walsum

6.3k total citations
183 papers, 3.8k citations indexed

About

Theo van Walsum is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Theo van Walsum has authored 183 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Radiology, Nuclear Medicine and Imaging, 73 papers in Computer Vision and Pattern Recognition and 59 papers in Biomedical Engineering. Recurrent topics in Theo van Walsum's work include Medical Image Segmentation Techniques (57 papers), Cerebrovascular and Carotid Artery Diseases (46 papers) and Medical Imaging Techniques and Applications (32 papers). Theo van Walsum is often cited by papers focused on Medical Image Segmentation Techniques (57 papers), Cerebrovascular and Carotid Artery Diseases (46 papers) and Medical Imaging Techniques and Applications (32 papers). Theo van Walsum collaborates with scholars based in Netherlands, United States and Vietnam. Theo van Walsum's co-authors include Wiro J. Niessen, Michiel Schaap, Coert Metz, Stefan Klein, Everine B. van de Kraats, Max A. Viergever, Nóra Baka, Adriaan Moelker, Aad van der Lugt and Alejandro F. Frangi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Spine.

In The Last Decade

Theo van Walsum

177 papers receiving 3.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Theo van Walsum Netherlands 34 1.8k 1.4k 1.3k 904 759 183 3.8k
Hans-Peter Meinzer Germany 32 1.1k 0.6× 1.3k 1.0× 1.3k 1.0× 1.3k 1.4× 615 0.8× 132 4.1k
David J. Hawkes United Kingdom 31 1.8k 1.0× 1.1k 0.8× 742 0.6× 671 0.7× 988 1.3× 137 3.9k
Robert Rohling Canada 35 2.1k 1.1× 1.1k 0.8× 2.7k 2.2× 1.2k 1.3× 271 0.4× 260 4.8k
Ivo Wolf Germany 23 786 0.4× 936 0.7× 795 0.6× 693 0.8× 306 0.4× 124 2.6k
Dean C. Barratt United Kingdom 29 1.4k 0.8× 1.1k 0.8× 921 0.7× 490 0.5× 1.1k 1.5× 99 3.2k
Graeme Penney United Kingdom 25 1.2k 0.7× 1.4k 1.0× 1.1k 0.9× 558 0.6× 251 0.3× 85 2.8k
Dónal B. Downey Canada 30 1.0k 0.6× 818 0.6× 1.1k 0.8× 605 0.7× 1.1k 1.5× 70 3.2k
Kawal Rhode United Kingdom 37 2.0k 1.1× 728 0.5× 1.5k 1.2× 613 0.7× 379 0.5× 223 5.2k
Raj Shekhar United States 28 1.2k 0.6× 736 0.5× 531 0.4× 490 0.5× 327 0.4× 134 2.4k
Frank Lindseth Norway 30 1.3k 0.7× 946 0.7× 1.0k 0.8× 633 0.7× 374 0.5× 96 3.0k

Countries citing papers authored by Theo van Walsum

Since Specialization
Citations

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

Fields of papers citing papers by Theo van Walsum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Theo van Walsum. 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 Theo van Walsum. The network helps show where Theo van Walsum may publish in the future.

Co-authorship network of co-authors of Theo van Walsum

This figure shows the co-authorship network connecting the top 25 collaborators of Theo van Walsum. A scholar is included among the top collaborators of Theo van Walsum 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 Theo van Walsum. Theo van Walsum 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.
Wolvius, Eppo B., et al.. (2025). Depth-based registration of 3D preoperative models to intraoperative patient anatomy using the HoloLens 2. International Journal of Computer Assisted Radiology and Surgery. 20(5). 901–912.
2.
Liu, Sijie, Wim H. van Zwam, Pieter‐Jan van Doormaal, et al.. (2025). Segmentation‐assisted vessel centerline extraction from cerebral CT Angiography. Medical Physics. 52(7). e17855–e17855. 1 indexed citations
3.
Tulder, Gijs van, et al.. (2024). Label refinement network from synthetic error augmentation for medical image segmentation. Medical Image Analysis. 99. 103355–103355. 1 indexed citations
4.
Walsum, Theo van, et al.. (2024). CMAN: Cascaded Multi-scale Spatial Channel Attention-guided Network for large 3D deformable registration of liver CT images. Medical Image Analysis. 96. 103212–103212. 5 indexed citations
5.
Veelen, Marie‐Lise C. van, et al.. (2023). Evaluation of AR visualization approaches for catheter insertion into the ventricle cavity. IEEE Transactions on Visualization and Computer Graphics. 29(5). 2434–2445. 12 indexed citations
6.
Vaz, Pedro G., Luisa Sánchez Brea, Ingeborg Stalmans, et al.. (2023). Retinal OCT speckle as a biomarker for glaucoma diagnosis and staging. Computerized Medical Imaging and Graphics. 108. 102256–102256. 5 indexed citations
7.
Sluijs, P Matthijs van der, Joaquim Bobí, Heleen M.M. van Beusekom, et al.. (2023). Towards quantitative digital subtraction perfusion angiography: An animal study. Medical Physics. 50(7). 4055–4066. 4 indexed citations
8.
Wolff, Lennard, Adriaan C.G.M. van Es, Pieter‐Jan van Doormaal, et al.. (2022). Inter-rater reliability for assessing intracranial collaterals in patients with acute ischemic stroke: comparing 29 raters and an artificial intelligence-based software. Neuroradiology. 64(12). 2277–2284. 10 indexed citations
9.
Wolff, Lennard, et al.. (2022). Deep reinforcement learning for cerebral anterior vessel tree extraction from 3D CTA images. Medical Image Analysis. 84. 102724–102724. 6 indexed citations
10.
Walsum, Theo van, et al.. (2022). Automatic scan range for dose-reduced multiphase CT imaging of the liver utilizing CNNs and Gaussian models. Medical Image Analysis. 78. 102422–102422. 5 indexed citations
11.
Wolff, Lennard, Jeannette Hofmeijer, Jasper M. Martens, et al.. (2022). Diagnostic performance of an algorithm for automated collateral scoring on computed tomography angiography. European Radiology. 32(8). 5711–5718. 11 indexed citations
12.
Jesus, Danilo Andrade De, Luisa Sánchez Brea, Stefan Klein, et al.. (2021). Adaptive optics ophthalmoscopy: a systematic review of vascular biomarkers. Survey of Ophthalmology. 67(2). 369–387. 25 indexed citations
13.
Vaz, Pedro G., Danilo Andrade De Jesus, Luisa Sánchez Brea, et al.. (2021). Optical Coherence Tomography Imaging of the Lamina Cribrosa: Structural Biomarkers in Nonglaucomatous Diseases. Journal of Ophthalmology. 2021. 1–31. 5 indexed citations
14.
Brea, Luisa Sánchez, Danilo Andrade De Jesus, Stefan Klein, & Theo van Walsum. (2020). Deep learning-based retinal vessel segmentation with cross-modal evaluation. 709–720. 3 indexed citations
15.
Wolff, Lennard, Olvert A. Berkhemer, Adriaan C.G.M. van Es, et al.. (2020). Validation of automated Alberta Stroke Program Early CT Score (ASPECTS) software for detection of early ischemic changes on non-contrast brain CT scans. Neuroradiology. 63(4). 491–498. 16 indexed citations
16.
Jesus, Danilo Andrade De, Luisa Sánchez Brea, Stefan Klein, et al.. (2020). Microvascular damage assessed by optical coherence tomography angiography for glaucoma diagnosis: a systematic review of the most discriminative regions. Acta Ophthalmologica. 98(6). 537–558. 31 indexed citations
17.
Shirazi, Muhammad Faizan, Jordi Andilla, Danilo Andrade De Jesus, et al.. (2020). Multi modal and multi scale retinal imaging with and without adaptive optics for clinical settings. Investigative Ophthalmology & Visual Science. 61(7). 3243–3243. 1 indexed citations
18.
Zahnd, Guillaume, Jelle T. C. Schrauwen, Αντώνιος Καρανάσος, et al.. (2016). Fusion of fibrous cap thickness and wall shear stress to assess plaque vulnerability in coronary arteries: a pilot study. International Journal of Computer Assisted Radiology and Surgery. 11(10). 1779–1790. 6 indexed citations
19.
Fortunati, Valerio, René F. Verhaart, Aad van der Lugt, et al.. (2014). Feasibility of Multimodal Deformable Registration for Head and Neck Tumor Treatment Planning. International Journal of Radiation Oncology*Biology*Physics. 90(1). 85–93. 44 indexed citations
20.
Schaap, Michiel, Theo van Walsum, Lisan A. Neefjes, et al.. (2011). Robust Shape Regression for Supervised Vessel Segmentation and its Application to Coronary Segmentation in CTA. IEEE Transactions on Medical Imaging. 30(11). 1974–1986. 44 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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