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Fernando Calamante

Showing results (81-90 of 129) with videos related to

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Neuroimage|March 10, 2021
TractLearn: A geodesic learning framework for quantitative analysis of brain bundlesArnaud Attyé, Félix Renard, Monica Baciu, et al.
Journal of the Peripheral Nervous System : JPNS|December 15, 2021
A robust framework for characterising diffusion metrics of the median and ulnar nerves: Exploiting state-of-the-art tracking methodsArkiev D'Souza, Chenyu Wang, Sicong Tu, et al.
Scientific Reports|March 30, 2024
Data-driven normative values based on generative manifold learning for quantitative MRIArnaud Attyé, Félix Renard, Vanina Anglade, et al.
Magnetic Resonance in Medicine|January 24, 2014
Modeling and correction of bolus dispersion effects in dynamic susceptibility contrast MRIAmit Mehndiratta, Fernando Calamante, Bradley J MacIntosh, et al.
Neuroimage|March 2, 2010
The effect of finite diffusion gradient pulse duration on fibre orientation estimation in diffusion MRIChun-Hung Yeh, J-Donald Tournier, Kuan-Hung Cho, et al.
Neuroimage|June 28, 2008
Resolving crossing fibres using constrained spherical deconvolution: validation using diffusion-weighted imaging phantom dataJ-Donald Tournier, Chun-Hung Yeh, Fernando Calamante, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|May 15, 2025
The Australian National Total-Body PET Facility-A Shared Resource and Risk Model for Implementing Total-Body PETDale L Bailey, Steven R Meikle, Fernando Calamante, et al.
IEEE Journal of Biomedical and Health Informatics|December 8, 2025
Voxel-Level Brain States Prediction Using Swin TransformerYifei Sun, Daniel Chahine, Qinghao Wen, et al.
Magnetic Resonance in Medicine|June 26, 2010
Reduction of errors in ASL cerebral perfusion and arterial transit time maps using image de-noisingJack A Wells, David L Thomas, Martin D King, et al.
Magnetic Resonance in Medicine|January 21, 2014
Modeling the residue function in DSC-MRI simulations: analytical approximation to in vivo dataAmit Mehndiratta, Fernando Calamante, Bradley J MacIntosh, et al.
Pageof 13

Showing results (81-90 of 129) with videos related to

Sort By:
Pageof 13
Neuroimage|March 10, 2021
TractLearn: A geodesic learning framework for quantitative analysis of brain bundlesArnaud Attyé, Félix Renard, Monica Baciu, et al.
Journal of the Peripheral Nervous System : JPNS|December 15, 2021
A robust framework for characterising diffusion metrics of the median and ulnar nerves: Exploiting state-of-the-art tracking methodsArkiev D'Souza, Chenyu Wang, Sicong Tu, et al.
Scientific Reports|March 30, 2024
Data-driven normative values based on generative manifold learning for quantitative MRIArnaud Attyé, Félix Renard, Vanina Anglade, et al.
Magnetic Resonance in Medicine|January 24, 2014
Modeling and correction of bolus dispersion effects in dynamic susceptibility contrast MRIAmit Mehndiratta, Fernando Calamante, Bradley J MacIntosh, et al.
Neuroimage|March 2, 2010
The effect of finite diffusion gradient pulse duration on fibre orientation estimation in diffusion MRIChun-Hung Yeh, J-Donald Tournier, Kuan-Hung Cho, et al.
Neuroimage|June 28, 2008
Resolving crossing fibres using constrained spherical deconvolution: validation using diffusion-weighted imaging phantom dataJ-Donald Tournier, Chun-Hung Yeh, Fernando Calamante, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|May 15, 2025
The Australian National Total-Body PET Facility-A Shared Resource and Risk Model for Implementing Total-Body PETDale L Bailey, Steven R Meikle, Fernando Calamante, et al.
IEEE Journal of Biomedical and Health Informatics|December 8, 2025
Voxel-Level Brain States Prediction Using Swin TransformerYifei Sun, Daniel Chahine, Qinghao Wen, et al.
Magnetic Resonance in Medicine|June 26, 2010
Reduction of errors in ASL cerebral perfusion and arterial transit time maps using image de-noisingJack A Wells, David L Thomas, Martin D King, et al.
Magnetic Resonance in Medicine|January 21, 2014
Modeling the residue function in DSC-MRI simulations: analytical approximation to in vivo dataAmit Mehndiratta, Fernando Calamante, Bradley J MacIntosh, et al.
Pageof 13