Stefan Klein

15.3k total citations · 2 hit papers
253 papers, 9.0k citations indexed

About

Stefan Klein is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Stefan Klein has authored 253 papers receiving a total of 9.0k indexed citations (citations by other indexed papers that have themselves been cited), including 145 papers in Radiology, Nuclear Medicine and Imaging, 74 papers in Computer Vision and Pattern Recognition and 47 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Stefan Klein's work include Medical Image Segmentation Techniques (71 papers), Radiomics and Machine Learning in Medical Imaging (49 papers) and Advanced MRI Techniques and Applications (47 papers). Stefan Klein is often cited by papers focused on Medical Image Segmentation Techniques (71 papers), Radiomics and Machine Learning in Medical Imaging (49 papers) and Advanced MRI Techniques and Applications (47 papers). Stefan Klein collaborates with scholars based in Netherlands, United Kingdom and Germany. Stefan Klein's co-authors include Marius Staring, Josien P. W. Pluim, Max A. Viergever, Keelin Murphy, Wiro J. Niessen, Esther E. Bron, Theo van Walsum, Meike W. Vernooij, Uulke A. van der Heide and Aad van der Lugt and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and PLoS ONE.

In The Last Decade

Stefan Klein

241 papers receiving 8.8k 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.

elastix: A Toolbox for Intensity-Based Medical Image Registration

2009 3.0k citations Stefan Klein et al. profile →
Multimodal machine learning-based knee osteoarthritis progression prediction from plain radiographs and clinical data

2019 183 citations Aleksei Tiulpin, Stefan Klein et al. University of Oulu Repository (University of Oulu) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stefan Klein Netherlands	39	4.5k	2.5k	1.9k	1.3k	818	253	9.0k
Frederik Maes Belgium	50	5.3k 1.2×	5.1k 2.0×	2.1k 1.1×	1.1k 0.9×	759 0.9×	307	13.5k
Stephen Aylward United States	32	4.0k 0.9×	1.6k 0.6×	2.3k 1.2×	1.8k 1.3×	1.5k 1.8×	121	9.5k
Marius Staring Netherlands	28	3.4k 0.8×	2.6k 1.0×	1.5k 0.8×	967 0.7×	351 0.4×	109	6.7k
Jayaram K. Udupa United States	59	3.8k 0.8×	5.7k 2.3×	1.8k 1.0×	1.2k 0.9×	935 1.1×	428	12.1k
Jayashree Kalpathy–Cramer United States	41	6.0k 1.3×	1.3k 0.5×	2.2k 1.2×	2.2k 1.7×	1.6k 1.9×	237	12.0k
Reinhard Beichel United States	23	3.1k 0.7×	1.1k 0.4×	1.8k 0.9×	1.4k 1.1×	1.4k 1.7×	83	7.4k
Steve Pieper United States	28	7.1k 1.6×	923 0.4×	3.1k 1.7×	2.7k 2.1×	2.0k 2.4×	74	12.5k
Joachim Hornegger Germany	55	7.5k 1.6×	3.5k 1.4×	4.0k 2.1×	859 0.7×	718 0.9×	448	13.5k
G Marchal Belgium	43	4.1k 0.9×	2.2k 0.9×	2.2k 1.2×	1.5k 1.1×	1.5k 1.8×	225	10.5k
M. Jorge Cardoso United Kingdom	44	3.5k 0.8×	2.2k 0.9×	1.1k 0.6×	752 0.6×	400 0.5×	253	10.2k

Countries citing papers authored by Stefan Klein

Since Specialization

Citations

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

Fields of papers citing papers by Stefan Klein

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Klein

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Oei, Edwin H. G., et al.. (2024). ENHANCING MODEL PERFORMANCE IN HIP JOINT SEGMENTATION BY LEVERAGING MULTIPLE IMAGE OUTPUTS FROM DIXON MRI. 4. 100193–100193.

Jaddoe, Vincent W. V., et al.. (2024). Abdominal fat and risk of impaired lung function and asthma in children: A population‐based prospective cohort study. Pediatric Allergy and Immunology. 35(2). 2 indexed citations

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

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

Voort, Sebastian R. van der, Fatih Incekara, Maarten M.J. Wijnenga, et al.. (2022). Combined molecular subtyping, grading, and segmentation of glioma using multi-task deep learning. Neuro-Oncology. 25(2). 279–289. 100 indexed citations

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

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

Klein, Stefan, et al.. (2020). An efficient method for multi-parameter mapping in quantitative MRI using B-spline interpolation. Data Archiving and Networked Services (DANS). 10 indexed citations

Dekker, Iris, Menno M. Schoonheim, Vikram Venkatraghavan, et al.. (2020). The sequence of structural, functional and cognitive changes in multiple sclerosis. NeuroImage Clinical. 29. 102550–102550. 23 indexed citations

10.

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

11.

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

12.

Li, Bo, Wiro J. Niessen, Stefan Klein, et al.. (2020). Learning unbiased registration and joint segmentation: evaluation on longitudinal diffusion MRI.. arXiv (Cornell University). 1 indexed citations

13.

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

14.

Voort, Sebastian R. van der, Fatih Incekara, Maarten M.J. Wijnenga, et al.. (2019). Predicting the 1p/19q Codeletion Status of Presumed Low-Grade Glioma with an Externally Validated Machine Learning Algorithm. Clinical Cancer Research. 25(24). 7455–7462. 69 indexed citations

15.

Tiulpin, Aleksei, Stefan Klein, Sita Bierma‐Zeinstra, et al.. (2019). Multimodal machine learning-based knee osteoarthritis progression prediction from plain radiographs and clinical data. University of Oulu Repository (University of Oulu). 183 indexed citations breakdown →

16.

Tiulpin, Aleksei, et al.. (2019). Improving robustness of deep learning based knee MRI segmentation:mixup and adversarial domain adaptation. University of Oulu Repository (University of Oulu). 49 indexed citations

17.

Kalendralis, Petros, Alberto Traverso, Zhenwei Shi, et al.. (2019). Multicenter CT phantoms public dataset for radiomics reproducibility tests. Medical Physics. 46(3). 1512–1518. 26 indexed citations

18.

Klein, Stefan, et al.. (2018). Intrasubject multimodal groupwise registration with the conditional template entropy. Medical Image Analysis. 46. 15–25. 18 indexed citations

19.

Huizinga, Wyke, Dirk H. J. Poot, Remy Klaassen, et al.. (2015). PCA-based groupwise image registration for quantitative MRI. Medical Image Analysis. 29. 65–78. 119 indexed citations

20.

Klein, Stefan, Ronald M. Lee, Lei Lei, & Sajda Qureshi. (1996). Pharmatica: Supporting the Complex Pharmaceutical Information Needs in the Changing Healthcare Sector.. Electronic Markets. 6(5). 561–3. 1 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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