research
∙
07/11/2023
Merging multiple input descriptors and supervisors in a deep neural network for tractogram filtering
One of the main issues of the current tractography methods is their high...
share
research
∙
05/15/2023
What Matters in Reinforcement Learning for Tractography
Recently, deep reinforcement learning (RL) has been proposed to learn th...
research
∙
11/30/2022
FIESTA: FIber gEneration and bundle Segmentation in Tractography using Autoencoders
White matter bundle segmentation is a cornerstone of modern tractography...
research
∙
04/22/2022
Generative sampling in tractography using autoencoders (GESTA)
Current tractography methods use the local orientation information to pr...
research
∙
08/09/2021
Manifold-aware Synthesis of High-resolution Diffusion from Structural Imaging
The physical and clinical constraints surrounding diffusion-weighted ima...
research
∙
10/07/2020
Tractography filtering using autoencoders
Current brain white matter fiber tracking techniques show a number of pr...
research
∙
02/14/2019
Tractography and machine learning: Current state and open challenges
Supervised machine learning (ML) algorithms have recently been proposed ...
research
∙
08/28/2017
NODDI-SH: a computational efficient NODDI extension for fODF estimation in diffusion MRI
Diffusion Magnetic Resonance Imaging (DMRI) is the only non-invasive ima...
research
∙
06/23/2016
Non Local Spatial and Angular Matching : Enabling higher spatial resolution diffusion MRI datasets through adaptive denoising
Diffusion magnetic resonance imaging datasets suffer from low Signal-to-...
research
∙
07/03/2012