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European Journal of Nuclear Medicine and Molecular Imaging
|
December 14, 2023
Perspectives of the European Association of Nuclear Medicine on the role of artificial intelligence (AI) in molecular brain imaging
Francesco Fraioli, Nathalie Albert, Ronald Boellaard, et al.
Scientific Data
|
September 6, 2022
ASL-BIDS, the brain imaging data structure extension for arterial spin labeling
Patricia Clement, Marco Castellaro, Thomas W Okell, et al.
Radiology
|
February 7, 2023
Multicenter Evaluation of AI-generated DIR and PSIR for Cortical and Juxtacortical Multiple Sclerosis Lesion Detection
Piet M Bouman, Samantha Noteboom, Fernando A Nobrega Santos, et al.
JAMA Neurology
|
December 11, 2023
Diagnostic Performance of Cortical Lesions and the Central Vein Sign in Multiple Sclerosis
Alessandro Cagol, Rosa Cortese, Muhamed Barakovic, et al.
Human Brain Mapping
|
March 19, 2026
Brain Age Estimation on T2-FLAIR Scans for Application to Multiple Sclerosis
Jordan Colman, Giuseppe Pontillo, Olivia Goodkin, et al.
Network Neuroscience (Cambridge, Mass.)
|
April 27, 2026
Structure-function multilayer network integration and cognition in multiple sclerosis
Lucas C Breedt, Giuseppe Pontillo, Fernando A N Santos, et al.
Magnetic Resonance in Medicine
|
May 11, 2024
Repeat it without me: Crowdsourcing the T<sub>1</sub> mapping common ground via the ISMRM reproducibility challenge
Mathieu Boudreau, Agah Karakuzu, Julien Cohen-Adad, et al.
Human Brain Mapping
|
December 31, 2024
More Than the Sum of Its Parts: Disrupted Core Periphery of Multiplex Brain Networks in Multiple Sclerosis
Giuseppe Pontillo, Ferran Prados, Alle Meije Wink, et al.
Neurology
|
November 4, 2024
Disentangling Neurodegeneration From Aging in Multiple Sclerosis Using Deep Learning: The Brain-Predicted Disease Duration Gap
Giuseppe Pontillo, Ferran Prados, Jordan Colman, et al.
Medical Image Analysis
|
January 21, 2026
Advances in automated fetal brain MRI segmentation and biometry: Insights from the FeTA 2024 challenge
Vladyslav Zalevskyi, Thomas Sanchez, Misha Kaandorp, et al.
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Showing results (41-50 of 50) with videos related to
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Page
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You have reached the last page of results.
This site can display upto 50 results.
European Journal of Nuclear Medicine and Molecular Imaging
|
December 14, 2023
Perspectives of the European Association of Nuclear Medicine on the role of artificial intelligence (AI) in molecular brain imaging
Francesco Fraioli, Nathalie Albert, Ronald Boellaard, et al.
Scientific Data
|
September 6, 2022
ASL-BIDS, the brain imaging data structure extension for arterial spin labeling
Patricia Clement, Marco Castellaro, Thomas W Okell, et al.
Radiology
|
February 7, 2023
Multicenter Evaluation of AI-generated DIR and PSIR for Cortical and Juxtacortical Multiple Sclerosis Lesion Detection
Piet M Bouman, Samantha Noteboom, Fernando A Nobrega Santos, et al.
JAMA Neurology
|
December 11, 2023
Diagnostic Performance of Cortical Lesions and the Central Vein Sign in Multiple Sclerosis
Alessandro Cagol, Rosa Cortese, Muhamed Barakovic, et al.
Human Brain Mapping
|
March 19, 2026
Brain Age Estimation on T2-FLAIR Scans for Application to Multiple Sclerosis
Jordan Colman, Giuseppe Pontillo, Olivia Goodkin, et al.
Network Neuroscience (Cambridge, Mass.)
|
April 27, 2026
Structure-function multilayer network integration and cognition in multiple sclerosis
Lucas C Breedt, Giuseppe Pontillo, Fernando A N Santos, et al.
Magnetic Resonance in Medicine
|
May 11, 2024
Repeat it without me: Crowdsourcing the T<sub>1</sub> mapping common ground via the ISMRM reproducibility challenge
Mathieu Boudreau, Agah Karakuzu, Julien Cohen-Adad, et al.
Human Brain Mapping
|
December 31, 2024
More Than the Sum of Its Parts: Disrupted Core Periphery of Multiplex Brain Networks in Multiple Sclerosis
Giuseppe Pontillo, Ferran Prados, Alle Meije Wink, et al.
Neurology
|
November 4, 2024
Disentangling Neurodegeneration From Aging in Multiple Sclerosis Using Deep Learning: The Brain-Predicted Disease Duration Gap
Giuseppe Pontillo, Ferran Prados, Jordan Colman, et al.
Medical Image Analysis
|
January 21, 2026
Advances in automated fetal brain MRI segmentation and biometry: Insights from the FeTA 2024 challenge
Vladyslav Zalevskyi, Thomas Sanchez, Misha Kaandorp, et al.
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of 5