Koenraad Van Leemput

Orcid: 0000-0001-6466-5309

According to our database1, Koenraad Van Leemput authored at least 97 papers between 1998 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Hierarchical uncertainty estimation for learning-based registration in neuroimaging.
CoRR, 2024

BraTS-PEDs: Results of the Multi-Consortium International Pediatric Brain Tumor Segmentation Challenge 2023.
CoRR, 2024

Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge.
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CoRR, 2024

The Brain Tumor Segmentation in Pediatrics (BraTS-PEDs) Challenge: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs).
CoRR, 2024

2023
Accurate Bayesian segmentation of thalamic nuclei using diffusion MRI and an improved histological atlas.
NeuroImage, July, 2023

SynthSeg: Segmentation of brain MRI scans of any contrast and resolution without retraining.
Medical Image Anal., May, 2023

A Lightweight Causal Model for Interpretable Subject-level Prediction.
CoRR, 2023

The Brain Tumor Segmentation (BraTS) Challenge 2023: Glioma Segmentation in Sub-Saharan Africa Patient Population (BraTS-Africa).
CoRR, 2023

The Brain Tumor Segmentation (BraTS) Challenge 2023: Focus on Pediatrics (CBTN-CONNECT-DIPGR-ASNR-MICCAI BraTS-PEDs).
CoRR, 2023

The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn).
CoRR, 2023

The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting.
CoRR, 2023

The ASNR-MICCAI Brain Tumor Segmentation (BraTS) Challenge 2023: Intracranial Meningioma.
CoRR, 2023

2022
An Open-Source Tool for Longitudinal Whole-Brain and White Matter Lesion Segmentation.
CoRR, 2022

Accurate and Explainable Image-Based Prediction Using a Lightweight Generative Model.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Reliability and sensitivity of two whole-brain segmentation approaches included in FreeSurfer - ASEG and SAMSEG.
NeuroImage, 2021

A contrast-adaptive method for simultaneous whole-brain and lesion segmentation in multiple sclerosis.
NeuroImage, 2021

Predicting survival of glioblastoma from automatic whole-brain and tumor segmentation of MR images.
CoRR, 2021

SynthSeg: Domain Randomisation for Segmentation of Brain MRI Scans of any Contrast and Resolution.
CoRR, 2021

An Augmentation Strategy to Mimic Multi-Scanner Variability in MRI.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Joint Segmentation Of Multiple Sclerosis Lesions And Brain Anatomy In MRI Scans Of Any Contrast And Resolution With CNNs.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Prediction of MGMT Methylation Status of Glioblastoma Using Radiomics and Latent Space Shape Features.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020
Accurate and robust whole-head segmentation from magnetic resonance images for individualized head modeling.
NeuroImage, 2020

A Learning Strategy for Contrast-agnostic MRI Segmentation.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

3D Reconstruction and Segmentation of Dissection Photographs for MRI-Free Neuropathology.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

A Longitudinal Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis.
Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020

2019
Personalized Radiotherapy Design for Glioblastoma: Integrating Mathematical Tumor Models, Multimodal Scans, and Bayesian Inference.
IEEE Trans. Medical Imaging, 2019

PSACNN: Pulse sequence adaptive fast whole brain segmentation.
NeuroImage, 2019

A modality-adaptive method for segmenting brain tumors and organs-at-risk in radiation therapy planning.
Medical Image Anal., 2019

Relevance Vector Machines for Harmonization of MRI Brain Volumes Using Image Descriptors.
Proceedings of the OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging, 2019

Fast Nonparametric Mutual-Information-based Registration and Uncertainty Estimation.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures, 2019

Joint Inference on Structural and Diffusion MRI for Sequence-Adaptive Bayesian Segmentation of Thalamic Nuclei with Probabilistic Atlases.
Proceedings of the Information Processing in Medical Imaging, 2019

Semi-supervised Variational Autoencoder for Survival Prediction.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

2018
A probabilistic atlas of the human thalamic nuclei combining <i>ex vivo</i> MRI and histology.
NeuroImage, 2018

Personalized Radiotherapy Planning for Glioma Using Multimodal Bayesian Model Calibration.
CoRR, 2018

A probabilistic atlas of the human thalamic nuclei combining ex vivo MRI and histology.
CoRR, 2018

Skull segmentation from MR scans using a higher-order shape model based on convolutional restricted Boltzmann machines.
Proceedings of the Medical Imaging 2018: Image Processing, 2018

An automatically generated texture-based atlas of the lungs.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

2017
High-resolution magnetic resonance imaging reveals nuclei of the human amygdala: manual segmentation to automatic atlas.
NeuroImage, 2017

2016
A Generative Probabilistic Model and Discriminative Extensions for Brain Lesion Segmentation - With Application to Tumor and Stroke.
IEEE Trans. Medical Imaging, 2016

Fast and sequence-adaptive whole-brain segmentation using parametric Bayesian modeling.
NeuroImage, 2016

Bayesian longitudinal segmentation of hippocampal substructures in brain MRI using subject-specific atlases.
NeuroImage, 2016

Computed tomography synthesis from magnetic resonance images in the pelvis using multiple random forests and auto-context features.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

A generative model for segmentation of tumor and organs-at-risk for radiation therapy planning of glioblastoma patients.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

2015
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS).
IEEE Trans. Medical Imaging, 2015

An algorithm for optimal fusion of atlases with different labeling protocols.
NeuroImage, 2015

Bayesian segmentation of brainstem structures in MRI.
NeuroImage, 2015

A computational atlas of the hippocampal formation using ex vivo, ultra-high resolution MRI: Application to adaptive segmentation of in vivo MRI.
NeuroImage, 2015

Simultaneous Whole-Brain Segmentation and White Matter Lesion Detection Using Contrast-Adaptive Probabilistic Models.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2015

Bayesian Tomographic Reconstruction Using Riemannian MCMC.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Brain Tumor Segmentation Using a Generative Model with an RBM Prior on Tumor Shape.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2015

2014
A Cautionary Analysis of STAPLE Using Direct Inference of Segmentation Truth.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Improved resolution and reliability in dynamic PET using Bayesian regularization of MRTM2.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

An Inference Language for Imaging.
Proceedings of the Bayesian and grAphical Models for Biomedical Imaging, 2014

N3 Bias Field Correction Explained as a Bayesian Modeling Method.
Proceedings of the Bayesian and grAphical Models for Biomedical Imaging, 2014

2013
Predicting the location of human perirhinal cortex, Brodmann's area 35, from MRI.
NeuroImage, 2013

A unified framework for cross-modality multi-atlas segmentation of brain MRI.
Medical Image Anal., 2013

Improved inference in Bayesian segmentation using Monte Carlo sampling: Application to hippocampal subfield volumetry.
Medical Image Anal., 2013

Fast, Sequence Adaptive Parcellation of Brain MR Using Parametric Models.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

On Feature Relevance in Image-Based Prediction Models: An Empirical Study.
Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013

A Probabilistic, Non-parametric Framework for Inter-modality Label Fusion.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

Is Synthesizing MRI Contrast Useful for Inter-modality Analysis?
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

An Improved Optimization Method for the Relevance Voxel Machine.
Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013

2012
The Relevance Voxel Machine (RVoxM): A Self-Tuning Bayesian Model for Informative Image-Based Prediction.
IEEE Trans. Medical Imaging, 2012

Incorporating Parameter Uncertainty in Bayesian Segmentation Models: Application to Hippocampal Subfield Volumetry.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

A Generative Model for Probabilistic Label Fusion of Multimodal Data.
Proceedings of the Multimodal Brain Image Analysis - Second International Workshop, 2012

A generative model for multi-atlas segmentation across modalities.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2011
The Relevance Voxel Machine (RVoxM): A Bayesian Method for Image-Based Prediction.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

A Generative Approach for Image-Based Modeling of Tumor Growth.
Proceedings of the Information Processing in Medical Imaging, 2011

2010
A Generative Model for Image Segmentation Based on Label Fusion.
IEEE Trans. Medical Imaging, 2010

Segmentation of image ensembles via latent atlases.
Medical Image Anal., 2010

Flexible network reconstruction from relational databases with Cytoscape and CytoSQL.
BMC Bioinform., 2010

A Generative Model for Brain Tumor Segmentation in Multi-Modal Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

2009
Encoding Probabilistic Brain Atlases Using Bayesian Inference.
IEEE Trans. Medical Imaging, 2009

Predicting the location of entorhinal cortex from MRI.
NeuroImage, 2009

Asymmetric Image-Template Registration.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Supervised Nonparametric Image Parcellation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Joint Segmentation of Image Ensembles via Latent Atlases.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

2008
Prediction of kinase-specific phosphorylation sites using conditional random fields.
Bioinform., 2008

Exploring the Operational Characteristics of Inference Algorithms for Transcriptional Networks by Means of Synthetic Data.
Artif. Life, 2008

JExample: Exploiting Dependencies between Tests to Improve Defect Localization.
Proceedings of the Agile Processes in Software Engineering and Extreme Programming, 2008

Model-Based Segmentation of Hippocampal Subfields in Ultra-High Resolution In Vivo MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

2007
Validating module network learning algorithms using simulated data.
BMC Bioinform., 2007

2006
SynTReN: a generator of synthetic gene expression data for design and analysis of structure learning algorithms.
BMC Bioinform., 2006

Probabilistic Brain Atlas Encoding Using Bayesian Inference.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006

2004
A Cross-Platform Software Framework for Medical Image Processing.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004, 2004

Incorporation of quantitative knowledge into genetic information systems.
Proceedings of the Intelligent Information Processing and Web Mining, 2004

2003
A Unifying Framework for Partial Volume Segmentation of Brain MR Images.
IEEE Trans. Medical Imaging, 2003

2002
Automatic Brain and Tumor Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2002

Model-Based Brain and Tumor Segmentation.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

2001
Automated Segmentation of Multiple Sclerosis Lesions by Model Outlier Detection.
IEEE Trans. Medical Imaging, 2001

Validation of Nonlinear Spatial Filtering to Improve Tissue Segmentation of MR Brain Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2001

A Statistical Framework for Partial Volume Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2001

1999
Automated Model-Based Tissue Classification of MR Images of the Brain.
IEEE Trans. Medical Imaging, 1999

Automated model-based bias field correction of MR images of the brain.
IEEE Trans. Medical Imaging, 1999

Quantification of Cerebral Grey and White Matter Asymmetry from MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 1999

Automated Segmentation of MS Lesions from Multi-channel MR Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 1999

1998
Automatic Segmentation of Brain Tissues and MR Bias Field Correction Using a Cigital Brain Atlas.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 1998


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