Daan Christiaens

Orcid: 0000-0001-8323-5451

According to our database1, Daan Christiaens authored at least 27 papers between 2013 and 2024.

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

Timeline

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PhD thesis 
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Bibliography

2024
Deep Learning Multi-channel Structural and Diffusion Tensor Neonatal Image Registration.
Proceedings of the Biomedical Image Registration - 11th International Workshop, 2024

2022
Predicting age and clinical risk from the neonatal connectome.
NeuroImage, 2022

Segmentation of Periventricular White Matter in Neonatal Brain MRI: Analysis of Brain Maturation in Term and Preterm Cohorts.
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2022

Attention-Driven Multi-channel Deformable Registration of Structural and Microstructural Neonatal Data.
Proceedings of the Perinatal, Preterm and Paediatric Image Analysis, 2022

2021
Preterm birth alters the development of cortical microstructure and morphology at term-equivalent age.
NeuroImage, 2021

Scattered slice SHARD reconstruction for motion correction in multi-shell diffusion MRI.
NeuroImage, 2021

dStripe: Slice artefact correction in diffusion MRI via constrained neural network.
Medical Image Anal., 2021

Uncertainty-Aware Deep Learning Based Deformable Registration.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Perinatal Imaging, Placental and Preterm Image Analysis, 2021

Unsupervised Diffeomorphic Surface Registration and Non-linear Modelling.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020
Higher Order Spherical Harmonics Reconstruction of Fetal Diffusion MRI With Intensity Correction.
IEEE Trans. Medical Imaging, 2020

On the need for bundle-specific microstructure kernels in diffusion MRI.
NeuroImage, 2020

Multi-channel Registration for Diffusion MRI: Longitudinal Analysis for the Neonatal Brain.
Proceedings of the Biomedical Image Registration - 9th International Workshop, 2020

Diffusion Tensor Driven Image Registration: A Deep Learning Approach.
Proceedings of the Biomedical Image Registration - 9th International Workshop, 2020

2019
Learning Compact ${q}$ -Space Representations for Multi-Shell Diffusion-Weighted MRI.
IEEE Trans. Medical Imaging, 2019

<i>MRtrix3</i>: A fast, flexible and open software framework for medical image processing and visualisation.
NeuroImage, 2019

A framework for multi-component analysis of diffusion MRI data over the neonatal period.
NeuroImage, 2019

Complex diffusion-weighted image estimation via matrix recovery under general noise models.
NeuroImage, 2019

2018
Slice-level diffusion encoding for motion and distortion correction.
Medical Image Anal., 2018

2017
Convexity-constrained and nonnegativity-constrained spherical factorization in diffusion-weighted imaging.
NeuroImage, 2017

ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI.
Medical Image Anal., 2017

Dynamic Field Mapping and Motion Correction Using Interleaved Double Spin-Echo Diffusion MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

2016
Data-driven Local and Global Reconstruction of White Matter Fibres in Diffusion-Weighted Imaging ; Data-gedreven lokale en globale reconstructie van wittestofbanen in diffusie-gewogen beelden.
PhD thesis, 2016

Denoising of diffusion MRI using random matrix theory.
NeuroImage, 2016

2015
Global tractography of multi-shell diffusion-weighted imaging data using a multi-tissue model.
NeuroImage, 2015

A Voxel-Wise, Cascaded Classification Approach to Ischemic Stroke Lesion Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2015

Convex Non-negative Spherical Factorization of Multi-Shell Diffusion-Weighted Images.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

2013
Groupwise Deformable Registration of Fiber Track Sets Using Track Orientation Distributions.
Proceedings of the Computational Diffusion MRI and Brain Connectivity, 2013


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