Researchclopedia

Research Researchers Institutions Topics Submit About

Command Palette

Search for a command to run...

Researchclopedia

Research Researchers Institutions About

© 2026 Researchclopedia. Powered by OpenAlex under CC0 license.

Koen Van Leemput | Researchclopedia

Back to researchers

Koen Van Leemput

Massachusetts General Hospital ORCID

216

Works

17,128

Citations

43

h-index

99

i10-index

Research Topics

Medical Image Segmentation Techniques Medical Imaging Techniques and Applications Radiomics and Machine Learning in Medical Imaging

Affiliations

University of North Carolina at Chapel Hill2020–2020

Vassar College2010–2010

Cliniques Universitaires Saint-Luc2011–2011

Children's National2024–2024

University of Helsinki2001–2004

Top Works

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

Bjoern Menze,András Jakab,et al.

20146,282 citations

Advanced MRI Techniques and Applications

Brain Tumor Detection and Classification

A computational atlas of the hippocampal formation using ex vivo, ultra-high resolution MRI: Application to adaptive segmentation of in vivo MRI

Juan Eugenio Iglesias,Jean C. Augustinack,et al.

20151,316 citations

Automated model-based tissue classification of MR images of the brain

Koen Van Leemput,Frederik Maes,et al.

19991,028 citations

Automated model-based bias field correction of MR images of the brain

Koen Van Leemput,Frederik Maes,et al.

1999585 citations

Automated segmentation of multiple sclerosis lesions by model outlier detection

Koen Van Leemput,Frederik Maes,et al.

2001497 citations

SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining

Benjamin Billot,Douglas N. Greve,et al.

2023494 citations

High-resolution magnetic resonance imaging reveals nuclei of the human amygdala: manual segmentation to automatic atlas

Zeynep M. Saygin,Dorit Kliemann,et al.

2017479 citations

A Generative Model for Image Segmentation Based on Label Fusion

Mert R. Sabuncu,B.T. Thomas Yeo,et al.

2010479 citations

Quantitative comparison of 21 protocols for labeling hippocampal subfields and parahippocampal subregions in in vivo MRI: Towards a harmonized segmentation protocol

Paul A. Yushkevich,Robert Amaral,et al.

2015363 citations