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Daniel C Alexander

Showing results (71-80 of 288) with videos related to

Pageof 29
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Neuroimage|June 11, 2016
Multi-compartment microscopic diffusion imagingEnrico Kaden, Nathaniel D Kelm, Robert P Carson, et al.
Magnetic Resonance in Medicine|December 5, 2013
Information theoretic ranking of four models of diffusion attenuation in fresh and fixed prostate tissue ex vivoRoger M Bourne, Eleftheria Panagiotaki, Andre Bongers, et al.
Brain Communications|July 22, 2024
Multimodal subtypes identified in Alzheimer's Disease Neuroimaging Initiative participants by missing-data-enabled subtype and stage inferenceMar Estarellas, Neil P Oxtoby, Jonathan M Schott, et al.
Medical Image Analysis|November 3, 2021
Degenerative adversarial neuroimage nets for brain scan simulations: Application in ageing and dementiaDaniele Ravi, Stefano B Blumberg, Silvia Ingala, et al.
Neuroimage|August 27, 2018
Accurate estimation of microscopic diffusion anisotropy and its time dependence in the mouse brainAndrada Ianuş, Sune N Jespersen, Teresa Serradas Duarte, et al.
Neuroimage|October 18, 2011
Compartment models of the diffusion MR signal in brain white matter: a taxonomy and comparisonEleftheria Panagiotaki, Torben Schneider, Bernard Siow, et al.
Neuroimage|December 8, 2020
Corrigendum to "SANDI: A compartment-based model for non-invasive apparent soma and neurite imaging by diffusion MRI" [Neuroimage 215 (2020), 116835]Marco Palombo, Andrada Ianus, Michele Guerreri, et al.
Medical Image Analysis|November 1, 2023
CenTime: Event-conditional modelling of censoring in survival analysisAhmed H Shahin, An Zhao, Alexander C Whitehead, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 1, 2010
High-fidelity meshes from tissue samples for diffusion MRI simulationsEleftheria Panagiotaki, Matt G Hall, Hui Zhang, et al.
NMR in Biomedicine|September 4, 2025
Rician Likelihood Loss for Quantitative MRI With Self-Supervised Deep LearningChristopher S Parker, Anna Schroder, Sean C Epstein, et al.
Pageof 29

Showing results (71-80 of 288) with videos related to

Sort By:
Pageof 29
Neuroimage|June 11, 2016
Multi-compartment microscopic diffusion imagingEnrico Kaden, Nathaniel D Kelm, Robert P Carson, et al.
Magnetic Resonance in Medicine|December 5, 2013
Information theoretic ranking of four models of diffusion attenuation in fresh and fixed prostate tissue ex vivoRoger M Bourne, Eleftheria Panagiotaki, Andre Bongers, et al.
Brain Communications|July 22, 2024
Multimodal subtypes identified in Alzheimer's Disease Neuroimaging Initiative participants by missing-data-enabled subtype and stage inferenceMar Estarellas, Neil P Oxtoby, Jonathan M Schott, et al.
Medical Image Analysis|November 3, 2021
Degenerative adversarial neuroimage nets for brain scan simulations: Application in ageing and dementiaDaniele Ravi, Stefano B Blumberg, Silvia Ingala, et al.
Neuroimage|August 27, 2018
Accurate estimation of microscopic diffusion anisotropy and its time dependence in the mouse brainAndrada Ianuş, Sune N Jespersen, Teresa Serradas Duarte, et al.
Neuroimage|October 18, 2011
Compartment models of the diffusion MR signal in brain white matter: a taxonomy and comparisonEleftheria Panagiotaki, Torben Schneider, Bernard Siow, et al.
Neuroimage|December 8, 2020
Corrigendum to "SANDI: A compartment-based model for non-invasive apparent soma and neurite imaging by diffusion MRI" [Neuroimage 215 (2020), 116835]Marco Palombo, Andrada Ianus, Michele Guerreri, et al.
Medical Image Analysis|November 1, 2023
CenTime: Event-conditional modelling of censoring in survival analysisAhmed H Shahin, An Zhao, Alexander C Whitehead, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 1, 2010
High-fidelity meshes from tissue samples for diffusion MRI simulationsEleftheria Panagiotaki, Matt G Hall, Hui Zhang, et al.
NMR in Biomedicine|September 4, 2025
Rician Likelihood Loss for Quantitative MRI With Self-Supervised Deep LearningChristopher S Parker, Anna Schroder, Sean C Epstein, et al.
Pageof 29