Franciscus M. Vos

501 total citations
18 papers, 202 citations indexed

About

Franciscus M. Vos is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Franciscus M. Vos has authored 18 papers receiving a total of 202 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Computer Vision and Pattern Recognition and 5 papers in Artificial Intelligence. Recurrent topics in Franciscus M. Vos's work include Radiomics and Machine Learning in Medical Imaging (5 papers), Image Retrieval and Classification Techniques (5 papers) and Medical Image Segmentation Techniques (4 papers). Franciscus M. Vos is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), Image Retrieval and Classification Techniques (5 papers) and Medical Image Segmentation Techniques (4 papers). Franciscus M. Vos collaborates with scholars based in Netherlands, Switzerland and United Kingdom. Franciscus M. Vos's co-authors include Joachim M. Buhmann, Dwarikanath Mahapatra, Jeroen A. W. Tielbeek, Peter J. Schüffler, Jaap Stoker, Stuart A. Taylor, Jesica Makanyanga, Lucas J. van Vliet, Ayso H. de Vries and A.M. Vossepoel and has published in prestigious journals such as NeuroImage, Magnetic Resonance in Medicine and IEEE Transactions on Medical Imaging.

In The Last Decade

Franciscus M. Vos

18 papers receiving 198 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Franciscus M. Vos Netherlands 9 90 75 60 50 44 18 202
Rocío del Amor Spain 9 98 1.1× 35 0.5× 96 1.6× 75 1.5× 61 1.4× 35 261
Hanna Borgli Norway 2 113 1.3× 71 0.9× 139 2.3× 104 2.1× 14 0.3× 3 263
Hon Ho Yu China 11 64 0.7× 15 0.2× 62 1.0× 37 0.7× 23 0.5× 16 207
Atsushi Goto Japan 8 77 0.9× 19 0.3× 43 0.7× 19 0.4× 11 0.3× 29 295
Mehri Sirous Iran 8 50 0.6× 26 0.3× 17 0.3× 19 0.4× 16 0.4× 20 161
Daniele Vergnaghi Italy 10 89 1.0× 17 0.2× 20 0.3× 18 0.4× 30 0.7× 17 213
Patrick Brandão United Kingdom 8 171 1.9× 101 1.3× 221 3.7× 104 2.1× 4 0.1× 16 354
Yukitaka Nimura Japan 7 158 1.8× 108 1.4× 157 2.6× 77 1.5× 5 0.1× 25 357
Yoshito Takemura Japan 8 88 1.0× 75 1.0× 203 3.4× 64 1.3× 18 0.4× 10 391

Countries citing papers authored by Franciscus M. Vos

Since Specialization
Citations

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

Fields of papers citing papers by Franciscus M. Vos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Franciscus M. Vos. 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 Franciscus M. Vos. The network helps show where Franciscus M. Vos may publish in the future.

Co-authorship network of co-authors of Franciscus M. Vos

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

All Works

18 of 18 papers shown
1.
Osch, Matthias J.P. van, et al.. (2022). Mitigating undersampling errors in MR fingerprinting by sequence optimization. Magnetic Resonance in Medicine. 89(5). 2076–2087. 7 indexed citations
2.
Poot, Dirk H. J., et al.. (2022). Accuracy and repeatability of joint sparsity multi-component estimation in MR Fingerprinting. NeuroImage. 263. 119638–119638. 2 indexed citations
3.
Karkalousos, Dimitrios, et al.. (2022). Assessment of data consistency through cascades of independently recurrent inference machines for fast and robust accelerated MRI reconstruction. Physics in Medicine and Biology. 67(12). 124001–124001. 8 indexed citations
4.
Weingärtner, Sebastian, et al.. (2020). Detection of small cerebral lesions using multi-component MR Fingerprinting with local joint sparsity. 1 indexed citations
5.
Menys, Alex, Andrew Plumb, Carl A. J. Puylaert, et al.. (2019). Automated versus subjective assessment of spatial and temporal MRI small bowel motility in Crohn's disease. Clinical Radiology. 74(10). 814.e9–814.e19. 14 indexed citations
6.
Mahapatra, Dwarikanath, Franciscus M. Vos, & Joachim M. Buhmann. (2016). Active learning based segmentation of Crohns disease from abdominal MRI. Computer Methods and Programs in Biomedicine. 128. 75–85. 20 indexed citations
7.
Su, Tung‐Ping, Matthan W.A. Caan, Fennie Wit, et al.. (2015). White matter abnormalities in males with suppressed HIV-infection on cart compared to representative controls. Experimental Gerontology. 68. 97–97. 1 indexed citations
8.
Mahapatra, Dwarikanath, Peter J. Schüffler, Jeroen A. W. Tielbeek, et al.. (2014). Active learning based segmentation of Crohn's disease using principles of visual saliency. Pure Amsterdam UMC. 226–229. 7 indexed citations
9.
Mahapatra, Dwarikanath, Peter J. Schüffler, Jeroen A. W. Tielbeek, et al.. (2013). Automatic Detection and Segmentation of Crohn's Disease Tissues From Abdominal MRI. IEEE Transactions on Medical Imaging. 32(12). 2332–2347. 45 indexed citations
10.
Mahapatra, Dwarikanath, Alexander Vezhnevets, Peter J. Schüffler, et al.. (2013). Weakly supervised semantic segmentation of Crohn's disease tissues from abdominal MRI. 844–847. 5 indexed citations
11.
Mahapatra, Dwarikanath, Peter J. Schüffler, Jeroen A. W. Tielbeek, Joachim M. Buhmann, & Franciscus M. Vos. (2013). A Supervised Learning Approach for Crohn's Disease Detection Using Higher-Order Image Statistics and a Novel Shape Asymmetry Measure. Journal of Digital Imaging. 26(5). 920–931. 14 indexed citations
12.
Mahapatra, Dwarikanath, Peter J. Schüffler, Jeroen A. W. Tielbeek, Franciscus M. Vos, & Joachim M. Buhmann. (2013). Semi-Supervised and Active Learning for Automatic Segmentation of Crohn’s Disease. Lecture notes in computer science. 16(Pt 2). 214–221. 20 indexed citations
13.
Mahapatra, Dwarikanath, Peter J. Schüffler, Jeroen A. W. Tielbeek, Franciscus M. Vos, & Joachim M. Buhmann. (2013). Localizing and segmenting Crohn's disease affected regions in abdominal MRI using novel context features. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8669. 86693K–86693K. 6 indexed citations
14.
Mahapatra, Dwarikanath, Peter J. Schüffler, Jeroen A. W. Tielbeek, Franciscus M. Vos, & Joachim M. Buhmann. (2013). Crohn's disease tissue segmentation from abdominal MRI using semantic information and graph cuts. Zenodo (CERN European Organization for Nuclear Research). 32. 358–361. 7 indexed citations
15.
Vos, Franciscus M., Jeroen A. W. Tielbeek, Zhang Li, et al.. (2012). Computational modeling for assessment of IBD: To be or not to be?. PubMed. 2012. 3974–3977. 17 indexed citations
16.
Liedenbaum, Marjolein H., Maaike J. Denters, Ayso H. de Vries, et al.. (2010). Original research. Low-fiber diet in limited bowel preparation for CT colonography: influence on image quality and patient acceptance.. American Journal of Roentgenology. 195(1). 3 indexed citations
17.
Serlie, Iwo W. O., Ayso H. de Vries, Lucas J. van Vliet, et al.. (2008). Lesion Conspicuity and Efficiency of CT Colonography with Electronic Cleansing Based on a Three-Material Transition Model. American Journal of Roentgenology. 191(5). 1493–1502. 17 indexed citations
18.
Vermeer, Koenraad A., Franciscus M. Vos, Hans G. Lemij, & A.M. Vossepoel. (2003). Detecting glaucomatous wedge shaped defects in polarimetric images. Medical Image Analysis. 7(4). 503–511. 8 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Rocío del Amor Breakdown of academic impact, for papers by Hanna Borgli Breakdown of academic impact, for papers by Hon Ho Yu Breakdown of academic impact, for papers by Atsushi Goto Breakdown of academic impact, for papers by Mehri Sirous Breakdown of academic impact, for papers by Daniele Vergnaghi Breakdown of academic impact, for papers by Patrick Brandão Breakdown of academic impact, for papers by Yukitaka Nimura Breakdown of academic impact, for papers by Yoshito Takemura
Rankless by CCL
2026