Koen Van Leemput

17.1k citations

104 papers · 6.6k indexed · 5 hit papers · h-index 36

Impact in

Neurology top 0.5%
- Brain Tumor Detection and Classification
Computer Vision and Pattern Recognition top 0.5%
- Medical Image Segmentation Techniques

Papers in

Computer Vision and Pattern Recognition 49
- Medical Image Segmentation Techniques 46
Radiology, Nuclear Medicine and Imaging 53
- Medical Imaging Techniques and Applications 23
- Advanced MRI Techniques and Applications 17
- Advanced Neuroimaging Techniques and Applications 14
- Radiomics and Machine Learning in Medical Imaging 12

Co-authors: Frederik Maes Dirk Vandermeulen Paul Suetens Juan Eugenio Iglesias Bruce Fischl Mert R. Sabuncu Jean C. Augustinack Polina Golland
Journals: NeuroImage (13 papers)IEEE Transactions on Medical Imaging (9 papers)Medical Image Analysis (4 papers)Physics in Medicine and Biology (4 papers)Medical Physics (3 papers)
Partner nations: United States Denmark Finland

In The Last Decade

Koen Van Leemput

100 papers receiving 6.5k citations

Hit Papers

5 papers align trajectories log scale

SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining 2023 · 195 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2023 Medical Image Analysis
2017 NeuroImage
2015 NeuroImage
2010 IEEE Transactions on Medical Imaging
1999 IEEE Transactions on Medical Imaging

Peers

Countries citing papers authored by Koen Van Leemput

Since Specialization

Citations

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

Fields of papers citing papers by Koen Van Leemput

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Koen Van Leemput. 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 Koen Van Leemput. The network helps show where Koen Van Leemput may publish in the future.

Co-authors

The 25 scholars most cited alongside Koen Van Leemput, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Koen Van Leemput Line = papers co-authored together Koen Van Leemput links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining Medical Image Analysis ·Benjamin Billot, Douglas N. Greve, Oula Puonti, Axel Thielscher, Koen Van Leemput, Bruce Fischl, Adrian V. Dalca, Juan Eugenio Iglesias Hit paper breakdown →	2023	195
2	Assessing individual variability of the entorhinal subfields in health and disease The Journal of Comparative Neurology ·Jan Oltmer, Douglas N. Greve, E. Levshin, Shan Nawaz Malik, Peter McAnulty, Juan Eugenio Iglesias, Koen Van Leemput, L. Bleiziffer, Matthew P. Frosch, Jean C. Augustinack	2023	1
3	A Learning Strategy for Contrast-agnostic MRI Segmentation Benjamin Billot, Douglas N. Greve, Koen Van Leemput, Bruce Fischl, Juan Eugenio Iglesias, Adrian V. Dalca	2020	3
4	A contrast-adaptive method for simultaneous whole-brain and lesion segmentation in multiple sclerosis NeuroImage ·E. Levshin, Oula Puonti, Dominik Meier, Jens Wuerfel, Mark Mühlau, Hartwig R. Siebner, Koen Van Leemput	2020	88
5	Joint Inference on Structural and Diffusion MRI for Sequence-Adaptive Bayesian Segmentation of Thalamic Nuclei with Probabilistic Atlases Lecture notes in computer science ·Juan Eugenio Iglesias, Koen Van Leemput, Polina Golland, Anastasia Yendiki	2019	4
6	Personalized Radiotherapy Planning for Glioma Using Multimodal Bayesian Model Calibration. arXiv (Cornell University) ·Jana Lipková, Panagiotis Angelikopoulos, Stephen Wu, Esther Alberts, Benedikt Wiestler, Christian Diehl, Christine Preibisch, Thomas Pyka, Stephanie E. Combs, Panagiotis Hadjidoukas, Koen Van Leemput, Petros Koumoutsakos, John Lowengrub, Bjoern Menze	2018	1
7	High-resolution magnetic resonance imaging reveals nuclei of the human amygdala: manual segmentation to automatic atlas NeuroImage ·Zeynep M. Saygin, Dorit Kliemann, Juan Eugenio Iglesias, André van der Kouwe, Emma Boyd, Martin Reuter, Allison Stevens, Koen Van Leemput, Ann C. McKee, Matthew P. Frosch, Bruce Fischl, Jean C. Augustinack Hit paper breakdown →	2017	307
8	Bayesian segmentation of brainstem structures in MRI NeuroImage ·Juan Eugenio Iglesias, Koen Van Leemput, Priyanka Bhatt, Michael Schmutzer-Sondergeld, Shubir Dutt, Norbert Schuff, Diana Truran‐Sacrey, Adam L. Boxer, Bruce Fischl	2015	169
9	Cone beam computed tomography guided treatment delivery and planning verification for magnetic resonance imaging only radiotherapy of the brain Acta Oncologica ·Jens Edmund, Guoqin Duan, Faisal Mahmood, Koen Van Leemput	2015	34
10	PD-0593: The impact of a Dixon sequence in creating a pseudo CT scan from MR images using a Gaussian mixture regression model Radiotherapy and Oncology ·Guoqin Duan, Jakob L. Andersen, Rune Hansen, Koen Van Leemput, Jens Edmund	2013	3
11	Improved inference in Bayesian segmentation using Monte Carlo sampling: Application to hippocampal subfield volumetry Medical Image Analysis ·Juan Eugenio Iglesias, Mert R. Sabuncu, Koen Van Leemput	2013	27
12	A Generative Approach for Image-Based Modeling of Tumor Growth Lecture notes in computer science ·Bjoern Menze, Koen Van Leemput, Antti Honkela, Ender Konukoglu, Marc‐André Weber, Zhuge Shi-yan, Polina Golland	2011	39
13	Segmentation of image ensembles via latent atlases HAL (Le Centre pour la Communication Scientifique Directe) ·Tammy Riklin Raviv, Koen Van Leemput, Bjoern Menze, Polina Golland, William M. Wells	2010	1
14	Supervised Nonparametric Image Parcellation DSpace@MIT (Massachusetts Institute of Technology) ·Mert R. Sabuncu, B.T. Thomas Yeo, Koen Van Leemput, Susan B. Armstrong, Polina Golland	2009	6
15	Joint Segmentation of Image Ensembles via Latent Atlases Lecture notes in computer science ·Tammy Riklin Raviv, Koen Van Leemput, William M. Wells, Polina Golland	2009	11
16	A generator of biologically plausible synthetic gene expression data for design and analysis of structure learning algorithms Koen Van Leemput, Tim Van den Bulcke, Bart Naudts, Piet van Remortel, A. Verschoren, Bart De Moor, Kathleen Marchal	2005	6
17	Automatic brain and tumor segmentation Lecture notes in computer science ·隆寛西田, Elizabeth Bullitt, Koen Van Leemput, Guido Gerig	2002	4
18	Quantification of cerebral grey and white matter asymmetry from MRI Lirias (KU Leuven) ·Frederik Maes, Koen Van Leemput, Marie Altendahl, Dirk Vandermeulen, Paul Suetens	1999	3
19	Automatic segmentation of brain tissues and MR bias field correction using a digital brain atlas Lecture notes in computer science ·Koen Van Leemput, Frederik Maes, Dirk Vandermeulen, Paul Suetens	1998	2
20	A method for patient movement registration during MRI intervention European Radiology ·Lasse Jyrkinen, Koen Van Leemput, Jarkko Oikarinen, Osmo Tervonen, Nina Juviler	1997	1

About Koen Van Leemput

Koen Van Leemput is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Health Informatics, Biophysics and Neurology, having authored 104 papers that have together received 6.6k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (46 papers), Medical Imaging Techniques and Applications (23 papers), Advanced MRI Techniques and Applications (17 papers), Advanced Neuroimaging Techniques and Applications (14 papers), Radiomics and Machine Learning in Medical Imaging (12 papers), Functional Brain Connectivity Studies (12 papers), Cell Image Analysis Techniques (10 papers) and AI in cancer detection (8 papers). The work is most often cited by research in Neurology (1.1k citations), Computer Vision and Pattern Recognition (2.3k citations), Radiology, Nuclear Medicine and Imaging (2.3k citations), Cognitive Neuroscience (1.5k citations) and Psychiatry and Mental health (873 citations). Koen Van Leemput has collaborated with scholars based in United States, Denmark and Finland. Frequent co-authors include Frederik Maes, Dirk Vandermeulen, Paul Suetens, Juan Eugenio Iglesias, Bruce Fischl, Mert R. Sabuncu, Jean C. Augustinack, Polina Golland, Matthew P. Frosch and Ann C. McKee. Their work appears in journals such as NeuroImage, IEEE Transactions on Medical Imaging, Medical Image Analysis, Physics in Medicine and Biology and Medical Physics.

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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