Adriënne M. Mendrik

1.1k total citations
23 papers, 625 citations indexed

About

Adriënne M. Mendrik is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Adriënne M. Mendrik has authored 23 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 7 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Artificial Intelligence. Recurrent topics in Adriënne M. Mendrik's work include Medical Image Segmentation Techniques (7 papers), Cerebrovascular and Carotid Artery Diseases (4 papers) and Acute Ischemic Stroke Management (4 papers). Adriënne M. Mendrik is often cited by papers focused on Medical Image Segmentation Techniques (7 papers), Cerebrovascular and Carotid Artery Diseases (4 papers) and Acute Ischemic Stroke Management (4 papers). Adriënne M. Mendrik collaborates with scholars based in Netherlands, Germany and Italy. Adriënne M. Mendrik's co-authors include Bram van Ginneken, Max A. Viergever, Jeroen de Bresser, Geert Jan Biessels, Wouter M. Kouw, Evert‐Jan Vonken, Mathias Prokop, Ewoud J. Smit, Jan Wolff and F. Diblen and has published in prestigious journals such as PLoS ONE, Radiology and IEEE Transactions on Medical Imaging.

In The Last Decade

Adriënne M. Mendrik

22 papers receiving 606 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Adriënne M. Mendrik Netherlands 12 263 172 163 90 89 23 625
Zengmin Tian China 13 145 0.6× 101 0.6× 127 0.8× 41 0.5× 102 1.1× 29 569
Matthew McCormick United States 17 422 1.6× 147 0.9× 332 2.0× 91 1.0× 65 0.7× 54 1.0k
Matthias Wilms Canada 15 229 0.9× 184 1.1× 108 0.7× 142 1.6× 142 1.6× 71 791
Michael Schwier Germany 12 221 0.8× 130 0.8× 132 0.8× 73 0.8× 96 1.1× 22 551
Yongwon Cho South Korea 17 465 1.8× 125 0.7× 172 1.1× 60 0.7× 160 1.8× 59 1.0k
Li Kuo Tan Malaysia 13 434 1.7× 69 0.4× 253 1.6× 49 0.5× 51 0.6× 63 874
Fabian Isensee Germany 15 578 2.2× 222 1.3× 211 1.3× 42 0.5× 166 1.9× 37 955
David G. Gobbi Canada 11 229 0.9× 206 1.2× 179 1.1× 21 0.2× 40 0.4× 44 569
Christina Gsaxner Austria 17 215 0.8× 235 1.4× 291 1.8× 27 0.3× 137 1.5× 49 825

Countries citing papers authored by Adriënne M. Mendrik

Since Specialization
Citations

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

Fields of papers citing papers by Adriënne M. Mendrik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adriënne M. Mendrik

This figure shows the co-authorship network connecting the top 25 collaborators of Adriënne M. Mendrik. A scholar is included among the top collaborators of Adriënne M. Mendrik 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 Adriënne M. Mendrik. Adriënne M. Mendrik 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.
Mendrik, Adriënne M., Tom Emery, Javier García-Bernardo, et al.. (2024). Combining the strengths of Dutch survey and register data in a data challenge to predict fertility (PreFer). Journal of Computational Social Science. 7(2). 1403–1431. 1 indexed citations
2.
Mendrik, Adriënne M., et al.. (2024). The potential of benchmark challenges in the social sciences. Social Science Information. 63(4). 498–519.
3.
Boeschoten, Laura, et al.. (2023). Port: A software tool for digital data donation. The Journal of Open Source Software. 8(90). 5596–5596. 8 indexed citations
4.
Boeschoten, Laura, et al.. (2022). Privacy-preserving local analysis of digital trace data: A proof-of-concept. Patterns. 3(3). 100444–100444. 12 indexed citations
5.
Schoot, Rens van de, et al.. (2020). The data representativeness criterion: Predicting the performance of supervised classification based on data set similarity. PLoS ONE. 15(8). e0237009–e0237009. 17 indexed citations
6.
Kouw, Wouter M., Marco Loog, Lambertus W. Bartels, & Adriënne M. Mendrik. (2019). Learning An Mr Acquisition-Invariant Representation Using Siamese Neural Networks. arXiv (Cornell University). 6 indexed citations
7.
Vos, Martine De, et al.. (2018). Fast and easy mapping of relational data to RDF for rapid learning health care. Research Publications (Maastricht University). 113. 382–383. 1 indexed citations
8.
Minnema, Jordi, Maureen van Eijnatten, Wouter M. Kouw, et al.. (2018). CT image segmentation of bone for medical additive manufacturing using a convolutional neural network. Computers in Biology and Medicine. 103. 130–139. 103 indexed citations
9.
Werkhoven, Ben van, Adriënne M. Mendrik, & Rob V. van Nieuwpoort. (2018). Poster Abstracts eScience 2018 Conference. 349–349. 1 indexed citations
10.
Moeskops, Pim, Jeroen de Bresser, Hugo J. Kuijf, et al.. (2017). Evaluation of a deep learning approach for the segmentation of brain tissues and white matter hyperintensities of presumed vascular origin in MRI. NeuroImage Clinical. 17. 251–262. 77 indexed citations
11.
Heinen, Rutger, Willem H. Bouvy, Adriënne M. Mendrik, et al.. (2016). Robustness of Automated Methods for Brain Volume Measurements across Different MRI Field Strengths. PLoS ONE. 11(10). e0165719–e0165719. 73 indexed citations
12.
Pereira, Sérgio, et al.. (2016). Automatic brain tissue segmentation in MR images using Random Forests and Conditional Random Fields. Journal of Neuroscience Methods. 270. 111–123. 43 indexed citations
13.
Mendrik, Adriënne M., Evert‐Jan Vonken, G.A.P. de Kort, et al.. (2012). Improved Arterial Visualization in Cerebral CT Perfusion–Derived Arteriograms Compared with Standard CT Angiography: A Visual Assessment Study. American Journal of Neuroradiology. 33(11). 2171–2177. 6 indexed citations
14.
Smit, Ewoud J., Evert‐Jan Vonken, Irene C. van der Schaaf, et al.. (2012). Timing-Invariant Reconstruction for Deriving High-Quality CT Angiographic Data from Cerebral CT Perfusion Data. Radiology. 263(1). 216–225. 57 indexed citations
15.
Mendrik, Adriënne M., Evert‐Jan Vonken, Bram van Ginneken, et al.. (2011). TIPS bilateral noise reduction in 4D CT perfusion scans produces high-quality cerebral blood flow maps. Physics in Medicine and Biology. 56(13). 3857–3872. 72 indexed citations
16.
Mendrik, Adriënne M., Evert‐Jan Vonken, Bram van Ginneken, et al.. (2010). Automatic segmentation of intracranial arteries and veins in four‐dimensional cerebral CT perfusion scans. Medical Physics. 37(6Part1). 2956–2966. 27 indexed citations
17.
Mendrik, Adriënne M., et al.. (2010). Noise filtering in thin-slice 4D cerebral CT perfusion scans. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7623. 76230N–76230N. 6 indexed citations
18.
Mendrik, Adriënne M., et al.. (2009). Noise Reduction in Computed Tomography Scans Using 3-D Anisotropic Hybrid Diffusion With Continuous Switch. IEEE Transactions on Medical Imaging. 28(10). 1585–1594. 85 indexed citations
19.
Ginneken, Bram van & Adriënne M. Mendrik. (2006). Image Denoising with k-nearest Neighbor and Support Vector Regression. 603–606. 11 indexed citations
20.
Mendrik, Adriënne M., Evert‐Jan Vonken, Arnold M. R. Schilham, Max A. Viergever, & Bram van Ginneken. (2006). Hybrid Diffusion Compared with Existing Diffusion Schemes on Simulated Low Dose CT Scans. 5029. 1008–1011. 4 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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