Floris F. Berendsen

2.2k total citations · 1 hit paper
13 papers, 859 citations indexed

About

Floris F. Berendsen is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Floris F. Berendsen has authored 13 papers receiving a total of 859 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Computer Vision and Pattern Recognition and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Floris F. Berendsen's work include Medical Image Segmentation Techniques (7 papers), Medical Imaging Techniques and Applications (6 papers) and Advanced MRI Techniques and Applications (5 papers). Floris F. Berendsen is often cited by papers focused on Medical Image Segmentation Techniques (7 papers), Medical Imaging Techniques and Applications (6 papers) and Advanced MRI Techniques and Applications (5 papers). Floris F. Berendsen collaborates with scholars based in Netherlands, United States and China. Floris F. Berendsen's co-authors include Marius Staring, Max A. Viergever, Bob D. de Vos, Hessam Sokooti, Ivana Išgum, Kasper Marstal, Stefan Klein, A.N.T.J. Kotte, Josien P. W. Pluim and Uulke A. van der Heide and has published in prestigious journals such as Medical Physics, Journal of Magnetic Resonance Imaging and Medical Image Analysis.

In The Last Decade

Floris F. Berendsen

13 papers receiving 848 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.

A deep learning framework for unsupervised affine and deformable image registration

2018 492 citations Bob D. de Vos, Floris F. Berendsen et al. Medical Image Analysis profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Floris F. Berendsen Netherlands	8	490	432	235	104	85	13	859
Ingerid Reinertsen Norway	21	613 1.3×	295 0.7×	323 1.4×	63 0.6×	59 0.7×	56	1.2k
Ester Bonmati United Kingdom	11	564 1.2×	480 1.1×	286 1.2×	204 2.0×	74 0.9×	25	985
Hessam Sokooti Netherlands	6	341 0.7×	346 0.8×	169 0.7×	86 0.8×	71 0.8×	8	609
Marco Nolden Germany	13	571 1.2×	252 0.6×	317 1.3×	78 0.8×	87 1.0×	30	1.1k
Denis P. Shamonin Netherlands	10	441 0.9×	207 0.5×	170 0.7×	60 0.6×	85 1.0×	22	842
Binjie Qin China	14	351 0.7×	226 0.5×	228 1.0×	158 1.5×	23 0.3×	37	759
Daniel B. Russakoff United States	14	452 0.9×	351 0.8×	163 0.7×	67 0.6×	69 0.8×	38	822
John A. Onofrey United States	15	610 1.2×	133 0.3×	226 1.0×	104 1.0×	129 1.5×	69	880
Sir Michael Brady United Kingdom	10	416 0.8×	486 1.1×	206 0.9×	106 1.0×	69 0.8×	30	839
Darko Zikic United States	18	484 1.0×	777 1.8×	263 1.1×	188 1.8×	51 0.6×	38	1.3k

Countries citing papers authored by Floris F. Berendsen

Since Specialization

Citations

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

Fields of papers citing papers by Floris F. Berendsen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Floris F. Berendsen. 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 Floris F. Berendsen. The network helps show where Floris F. Berendsen may publish in the future.

Co-authorship network of co-authors of Floris F. Berendsen

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

All Works

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13 of 13 papers shown

Wang, Yuanyuan, et al.. (2019). Fully automated segmentation of the left atrium, pulmonary veins, and left atrial appendage from magnetic resonance angiography by joint‐atlas‐optimization. Medical Physics. 46(5). 2074–2084. 8 indexed citations

Marstal, Kasper, et al.. (2019). The Continuous Registration Challenge: Evaluation-as-a-Service for Medical Image Registration Algorithms. 16. 1399–1402. 5 indexed citations

Staring, Marius, et al.. (2018). GPU-based stochastic-gradient optimization for non-rigid medical image registration in time-critical applications. Research Repository (Delft University of Technology). 26–26. 6 indexed citations

Vos, Bob D. de, Floris F. Berendsen, Max A. Viergever, et al.. (2018). A deep learning framework for unsupervised affine and deformable image registration. Medical Image Analysis. 52. 128–143. 492 indexed citations breakdown →

Tao, Qian, et al.. (2017). Robust motion correction for myocardial T₁ and extracellular volume mapping by principle component analysis‐based groupwise image registration. Journal of Magnetic Resonance Imaging. 47(5). 1397–1405. 20 indexed citations

Tao, Qian, Rahil Shahzad, Esra Gücük İpek, et al.. (2016). Fully automated segmentation of left atrium and pulmonary veins in late gadolinium enhanced MRI. Journal of Cardiovascular Magnetic Resonance. 18. O84–O84. 2 indexed citations

Tao, Qian, Esra Gücük İpek, Rahil Shahzad, et al.. (2016). Fully automatic segmentation of left atrium and pulmonary veins in late gadolinium‐enhanced MRI: Towards objective atrial scar assessment. Journal of Magnetic Resonance Imaging. 44(2). 346–354. 31 indexed citations

Berendsen, Floris F., Kasper Marstal, Stefan Klein, & Marius Staring. (2016). The Design of SuperElastix — A Unifying Framework for a Wide Range of Image Registration Methodologies. 11. 498–506. 3 indexed citations

Marstal, Kasper, Floris F. Berendsen, Marius Staring, & Stefan Klein. (2016). SimpleElastix: A User-Friendly, Multi-lingual Library for Medical Image Registration. 574–582. 201 indexed citations

10.

Berendsen, Floris F., A.N.T.J. Kotte, Max A. Viergever, & Josien P. W. Pluim. (2014). Registration of organs with sliding interfaces and changing topologies. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9034. 90340E–90340E. 17 indexed citations

11.

Langerak, Thomas, Uulke A. van der Heide, A.N.T.J. Kotte, et al.. (2013). Expert-driven label fusion in multi-atlas-based segmentation of the prostate using weighted atlases. International Journal of Computer Assisted Radiology and Surgery. 8(6). 929–936. 5 indexed citations

12.

Langerak, Thomas, Floris F. Berendsen, Uulke A. van der Heide, A.N.T.J. Kotte, & Josien P. W. Pluim. (2013). Multiatlas‐based segmentation with preregistration atlas selection. Medical Physics. 40(9). 91701–91701. 46 indexed citations

13.

Berendsen, Floris F., Uulke A. van der Heide, Thomas Langerak, A.N.T.J. Kotte, & Josien P. W. Pluim. (2013). Free-form image registration regularized by a statistical shape model: application to organ segmentation in cervical MR. Computer Vision and Image Understanding. 117(9). 1119–1127. 23 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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