Fernando Calamante

Orcid: 0000-0002-7550-3142

According to our database1, Fernando Calamante authored at least 46 papers between 2001 and 2024.

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

Timeline

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Bibliography

2024
Enhancing Angular Resolution via Directionality Encoding and Geometric Constraints in Brain Diffusion Tensor Imaging.
CoRR, 2024

How Much Data are Enough? Investigating Dataset Requirements for Patch-Based Brain MRI Segmentation Tasks.
CoRR, 2024

Improving multiple sclerosis lesion segmentation across clinical sites: A federated learning approach with noise-resilient training.
Artif. Intell. Medicine, 2024

2023
Hippocampal Neuronal Integrity and Functional Connectivity Within the Default Mode Network in Mild Cognitive Impairment: A Multimodal Investigation.
Brain Connect., April, 2023

2022
Structural connections between the noradrenergic and cholinergic system shape the dynamics of functional brain networks.
NeuroImage, 2022

Network communication models narrow the gap between the modular organization of structural and functional brain networks.
NeuroImage, 2022

FOD-Net: A deep learning method for fiber orientation distribution angular super resolution.
Medical Image Anal., 2022

MS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated Learning.
CoRR, 2022

Diffusion MRI Fibre Orientation Distribution Inpainting.
Proceedings of the Computational Diffusion MRI - 13th International Workshop, 2022

2021
Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset?
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NeuroImage, 2021

TractLearn: A geodesic learning framework for quantitative analysis of brain bundles.
NeuroImage, 2021

Characterisation of white matter asymmetries in the healthy human brain using diffusion MRI fixel-based analysis.
NeuroImage, 2021

2019
Connectomes from streamlines tractography: Assigning streamlines to brain parcellations is not trivial but highly consequential.
NeuroImage, 2019

Is removal of weak connections necessary for graph-theoretical analysis of dense weighted structural connectomes from diffusion MRI?
NeuroImage, 2019

A Novel Method for Extracting Hierarchical Functional Subnetworks Based on a Multisubject Spectral Clustering Approach.
Brain Connect., 2019

2016
Correction for diffusion MRI fibre tracking biases: The consequences for structural connectomic metrics.
NeuroImage, 2016

The contribution of geometry to the human connectome.
NeuroImage, 2016

2015
SIFT2: Enabling dense quantitative assessment of brain white matter connectivity using streamlines tractography.
NeuroImage, 2015

The effects of SIFT on the reproducibility and biological accuracy of the structural connectome.
NeuroImage, 2015

Reproducibility of multiphase pseudo-continuous arterial spin labeling and the effect of post-processing analysis methods.
NeuroImage, 2015

Fourier Tract Sampling (FouTS): A framework for improved inference of white matter tracts from diffusion MRI by explicitly modelling tract volume.
NeuroImage, 2015

Quantification of voxel-wise total fibre density: Investigating the problems associated with track-count mapping.
NeuroImage, 2015

Voxel-Wise Functional Connectomics Using Arterial Spin Labeling Functional Magnetic Resonance Imaging: The Role of Denoising.
Brain Connect., 2015

2014
Quantification of track-weighted imaging (TWI): Characterisation of within-subject reproducibility and between-subject variability.
NeuroImage, 2014

Mapping somatosensory connectivity in adult mice using diffusion MRI tractography and super-resolution track density imaging.
NeuroImage, 2014

Graph analysis of resting-state ASL perfusion MRI data: Nonlinear correlations among CBF and network metrics.
NeuroImage, 2014

Visualization of mouse barrel cortex using ex-vivo track density imaging.
NeuroImage, 2014

2013
SIFT: Spherical-deconvolution informed filtering of tractograms.
NeuroImage, 2013

Track-weighted functional connectivity (TW-FC): A tool for characterizing the structural-functional connections in the brain.
NeuroImage, 2013

2012
Anatomically-constrained tractography: Improved diffusion MRI streamlines tractography through effective use of anatomical information.
NeuroImage, 2012

A generalised framework for super-resolution track-weighted imaging.
NeuroImage, 2012

Super-resolution track-density imaging studies of mouse brain: Comparison to histology.
NeuroImage, 2012

Comment on time-varying eddy currents effects on diffusion-weighting echo-planar imaging.
NeuroImage, 2012

MRtrix: Diffusion tractography in crossing fiber regions.
Int. J. Imaging Syst. Technol., 2012

A <i>k</i>-space sharing 3D GRASE pseudocontinuous ASL method for whole-brain resting-state functional connectivity.
Int. J. Imaging Syst. Technol., 2012

2011
Track density imaging (TDI): Validation of super resolution property.
NeuroImage, 2011

2010
The effect of finite diffusion gradient pulse duration on fibre orientation estimation in diffusion MRI.
NeuroImage, 2010

Track-density imaging (TDI): Super-resolution white matter imaging using whole-brain track-density mapping.
NeuroImage, 2010

2009
A software tool to generate simulated white matter structures for the assessment of fibre-tracking algorithms.
NeuroImage, 2009

2008
Resolving crossing fibres using constrained spherical deconvolution: Validation using diffusion-weighted imaging phantom data.
NeuroImage, 2008

2007
Robust determination of the fibre orientation distribution in diffusion MRI: Non-negativity constrained super-resolved spherical deconvolution.
NeuroImage, 2007

Cortical abnormalities and language function in young patients with basal ganglia stroke.
NeuroImage, 2007

2004
Direct estimation of the fiber orientation density function from diffusion-weighted MRI data using spherical deconvolution.
NeuroImage, 2004

2003
Diffusion-weighted magnetic resonance imaging fibre tracking using a front evolution algorithm.
NeuroImage, 2003

Estimation of bolus dispersion effects in perfusion MRI using image-based computational fluid dynamics.
NeuroImage, 2003

2001
Study of Connectivity in the Brain Using the Full Diffusion Tensor from MRI.
Proceedings of the Information Processing in Medical Imaging, 2001


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