Koen Van Leemput

Koen Van Leemput

Harvard University

H-index: 45

North America-United States

About Koen Van Leemput

Koen Van Leemput, With an exceptional h-index of 45 and a recent h-index of 37 (since 2020), a distinguished researcher at Harvard University, specializes in the field of Medical Image Computing.

His recent articles reflect a diverse array of research interests and contributions to the field:

The Brain Tumor Segmentation in Pediatrics (BraTS-PEDs) Challenge: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs)

Assessing individual variability of the entorhinal subfields in health and disease

Accurate Bayesian segmentation of thalamic nuclei using diffusion MRI and an improved histological atlas

The brain tumor segmentation (BraTS) challenge 2023: Brain MR image synthesis for tumor segmentation (BraSyn)

A Lightweight Causal Model for Interpretable Subject-level Prediction

3D analysis of dissection photographs with surface scanning and machine learning for quantitative neuropathology.

The brain tumor segmentation (brats-mets) challenge 2023: Brain metastasis segmentation on pre-treatment mri

The asnr-miccai brain tumor segmentation (brats) challenge 2023: Intracranial meningioma

Koen Van Leemput Information

University

Position

Technical University of Denmark & Harvard Medical School

Citations(all)

18010

Citations(since 2020)

10933

Cited By

10873

hIndex(all)

45

hIndex(since 2020)

37

i10Index(all)

88

i10Index(since 2020)

64

Email

University Profile Page

Google Scholar

Koen Van Leemput Skills & Research Interests

Medical Image Computing

Top articles of Koen Van Leemput

Assessing individual variability of the entorhinal subfields in health and disease

Journal of Comparative Neurology

2023/12

Accurate Bayesian segmentation of thalamic nuclei using diffusion MRI and an improved histological atlas

NeuroImage

2023/7/1

A Lightweight Causal Model for Interpretable Subject-level Prediction

arXiv preprint arXiv:2306.11107

2023/6/19

Stefano Cerri
Stefano Cerri

H-Index: 2

Koen Van Leemput
Koen Van Leemput

H-Index: 34

3D analysis of dissection photographs with surface scanning and machine learning for quantitative neuropathology.

bioRxiv

2023

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

Medical image analysis

2023/5/1

An open-source tool for longitudinal whole-brain and white matter lesion segmentation

NeuroImage: Clinical

2023/1/1

Predicting survival of glioblastoma from automatic whole-brain and tumor segmentation of MR images

Scientific Reports

2022/11/17

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging

5th International Workshop, UNSURE 2023, Held in Conjunction with MICCAI 2023

2023/10/7

Computational Neuroimage Analysis Tools for Brain (Diseases) Biomarkers

Frontiers in Neuroscience

2022/2/18

Meritxell Bach Cuadra
Meritxell Bach Cuadra

H-Index: 22

Koen Van Leemput
Koen Van Leemput

H-Index: 34

Accurate and Explainable Image-based Prediction Using a Lightweight Generative Model

2022

Stefano Cerri
Stefano Cerri

H-Index: 2

Koen Van Leemput
Koen Van Leemput

H-Index: 34

Joint segmentation of multiple sclerosis lesions and brain anatomy in MRI scans of any contrast and resolution with CNNs

2021/4/13

An augmentation strategy to mimic multi-scanner variability in MRI

2021/4/13

Nuno Barros
Nuno Barros

H-Index: 28

Koen Van Leemput
Koen Van Leemput

H-Index: 34

Cone beam computed tomography based image guidance and quality assessment of prostate cancer for magnetic resonance imaging-only radiotherapy in the pelvis

Physics and imaging in radiation oncology

2021/4/1

Daniel Andreasen
Daniel Andreasen

H-Index: 5

Koen Van Leemput
Koen Van Leemput

H-Index: 34

A contrast-adaptive method for simultaneous whole-brain and lesion segmentation in multiple sclerosis

Neuroimage

2021/1/15

Stefano Cerri
Stefano Cerri

H-Index: 2

Koen Van Leemput
Koen Van Leemput

H-Index: 34

Computational Imaging Biomarkers of Multiple Sclerosis

2021

Prediction of mgmt methylation status of glioblastoma using radiomics and latent space shape features

2022

See List of Professors in Koen Van Leemput University(Harvard University)

Co-Authors

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