Koenraad Van Leemput
Orcid: 0000-0001-6466-5309
According to our database1,
Koenraad Van Leemput
authored at least 93 papers
between 1998 and 2023.
Collaborative distances:
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Bibliography
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
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
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
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
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
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
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
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
IEEE Trans. Medical Imaging, 2015
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
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2015
2014
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
Proceedings of the Bayesian and grAphical Models for Biomedical Imaging, 2014
Proceedings of the Bayesian and grAphical Models for Biomedical Imaging, 2014
2013
NeuroImage, 2013
Medical Image Anal., 2013
Improved inference in Bayesian segmentation using Monte Carlo sampling: Application to hippocampal subfield volumetry.
Medical Image Anal., 2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Proceedings of the Machine Learning in Medical Imaging - 4th International Workshop, 2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013
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
Proceedings of the Multimodal Brain Image Analysis - Second International Workshop, 2012
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012
2011
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011
Proceedings of the Information Processing in Medical Imaging, 2011
2010
IEEE Trans. Medical Imaging, 2010
Flexible network reconstruction from relational databases with Cytoscape and CytoSQL.
BMC Bioinform., 2010
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
2009
IEEE Trans. Medical Imaging, 2009
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009
2008
Bioinform., 2008
Exploring the Operational Characteristics of Inference Algorithms for Transcriptional Networks by Means of Synthetic Data.
Artif. Life, 2008
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
BMC Bioinform., 2007
2006
SynTReN: a generator of synthetic gene expression data for design and analysis of structure learning algorithms.
BMC Bioinform., 2006
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2006
2004
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
IEEE Trans. Medical Imaging, 2003
2002
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2002
Proceedings of the 16th International Conference on Pattern Recognition, 2002
2001
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
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2001
1999
IEEE Trans. Medical Imaging, 1999
IEEE Trans. Medical Imaging, 1999
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 1999
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