Marius de Groot

Orcid: 0000-0003-0154-1397

According to our database1, Marius de Groot authored at least 24 papers between 2008 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
<i>Where is VALDO?</i> VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021.
Medical Image Anal., January, 2024

2023
MisMatch: Calibrated Segmentation via Consistency on Differential Morphological Feature Perturbations With Limited Labels.
IEEE Trans. Medical Imaging, October, 2023

Expectation Maximization Pseudo Labelling for Segmentation with Limited Annotations.
CoRR, 2023

2022
Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021.
CoRR, 2022

Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-supervised Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Longitudinal diffusion MRI analysis using Segis-Net: A single-step deep-learning framework for simultaneous segmentation and registration.
NeuroImage, 2021

MisMatch: Learning to Change Predictive Confidences with Attention for Consistency-Based, Semi-Supervised Medical Image Segmentation.
CoRR, 2021

2020
Neuro4Neuro: A neural network approach for neural tract segmentation using large-scale population-based diffusion imaging.
NeuroImage, 2020

Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation.
Medical Image Anal., 2020

When Weak Becomes Strong: Robust Quantification of White Matter Hyperintensities in Brain MRI scans.
CoRR, 2020

Image-Level Harmonization of Multi-site Data Using Image-and-Spatial Transformer Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019
Automated Image Registration Quality Assessment Utilizing Deep-learning based Ventricle Extraction in Clinical Data.
CoRR, 2019

A Hybrid Deep Learning Framework for Integrated Segmentation and Registration: Evaluation on Longitudinal White Matter Tract Changes.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018
Disconnection due to white matter hyperintensities is associated with lower cognitive scores.
NeuroImage, 2018

Reproducible White Matter Tract Segmentation Using 3D U-Net on a Large-scale DTI Dataset.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

2017
The structural disconnectome: A pathology-sensitive extension of the structural connectome.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Heritability of connectivity and disconnectivity of the brain in a population-based study.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2013
Improving alignment in Tract-based spatial statistics: Evaluation and optimization of image registration.
NeuroImage, 2013

2012
Structural and diffusion MRI measures of the hippocampus and memory performance.
NeuroImage, 2012

2011
Statistical analysis of minimum cost path based structural brain connectivity.
NeuroImage, 2011

2010
Statistical Analysis of Structural Brain Connectivity.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

2009
Iterative Co-linearity Filtering and Parameterization of Fiber Tracts in the Entire Cingulum.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

2008
White matter atrophy and lesion formation explain the loss of structural integrity of white matter in aging.
NeuroImage, 2008


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