Geert Jan Biessels

Orcid: 0000-0001-6862-2496

According to our database1, Geert Jan Biessels authored at least 26 papers between 2011 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Prior-knowledge-informed deep learning for lacune detection and quantification using multi-site brain MRI.
CoRR, 2023

An Interpretable Machine Learning Model with Deep Learning-Based Imaging Biomarkers for Diagnosis of Alzheimer's Disease.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

2022
Cross-site harmonization of multi-shell diffusion MRI measures based on rotational invariant spherical harmonics (RISH).
NeuroImage, 2022

2021
Strain Tensor Imaging: Cardiac-induced brain tissue deformation in humans quantified with high-field MRI.
NeuroImage, 2021

On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: Chronicles of the MEMENTO challenge.
NeuroImage, 2021

2020
Automated White Matter Hyperintensity Segmentation Using Bayesian Model Selection: Assessment and Correlations with Cognitive Change.
Neuroinformatics, 2020

Cardiac and respiration-induced brain deformations in humans quantified with high-field MRI.
NeuroImage, 2020

Cross-Cohort Generalizability of Deep and Conventional Machine Learning for MRI-based Diagnosis and Prediction of Alzheimer's Disease.
CoRR, 2020

Effect of Fixed-Density Thresholding on Structural Brain Networks: A Demonstration in Cerebral Small Vessel Disease.
Brain Connect., 2020

2019
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge.
IEEE Trans. Medical Imaging, 2019

2018
Vascular reactivity in small cerebral perforating arteries with 7 T phase contrast MRI - A proof of concept study.
NeuroImage, 2018

2016
Erratum to "Subfields of the hippocampal formation at 7T MRI: In vivo volumetric assessment" [NeuroImage 61 (2012) 1043-1049].
NeuroImage, 2016

Supervised novelty detection in brain tissue classification with an application to white matter hyperintensities.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

2015
Bayesian Model Selection for Pathological Neuroimaging Data Applied to White Matter Lesion Segmentation.
IEEE Trans. Medical Imaging, 2015

FLAIR images at 7 Tesla MRI highlight the ependyma and the outer layers of the cerebral cortex.
NeuroImage, 2015

MRBrainS Challenge: Online Evaluation Framework for Brain Image Segmentation in 3T MRI Scans.
Comput. Intell. Neurosci., 2015

Automated detection of periventricular veins on 7 T brain MRI.
Proceedings of the Medical Imaging 2015: Image Processing, 2015

2014
Automatic Extraction of the Midsagittal Surface from Brain MR Images using the Kullback-Leibler Measure.
Neuroinformatics, 2014

Methodological considerations on tract-based spatial statistics (TBSS).
NeuroImage, 2014

Bayesian Model Selection for Pathological Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

2013
Registration of Brain CT Images to an MRI Template for the Purpose of Lesion-Symptom Mapping.
Proceedings of the Multimodal Brain Image Analysis - Third International Workshop, 2013

Detecting cortical cerebral microinfarcts in 7.0 T MR images.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

2012
Subfields of the hippocampal formation at 7 T MRI: In vivo volumetric assessment.
NeuroImage, 2012

Efficient detection of cerebral microbleeds on 7.0 T MR images using the radial symmetry transform.
NeuroImage, 2012

2011
A comparison of MR based segmentation methods for measuring brain atrophy progression.
NeuroImage, 2011

Detecting cerebral microbleeds in 7.0 T MR images using the radial symmetry transform.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011


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