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Olayinka Oladosu

Showing results (1-10 of 13) with videos related to

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Journal of Neuroscience Methods|August 31, 2025
Advanced brain diffusion MRI and image texture measures have the potential to predict multi-domain functional outcomes in multiple sclerosisOlayinka Oladosu, Yunyan Zhang
Magnetic Resonance Imaging|July 21, 2020
Evaluation of discrete orthogonal versus polar Stockwell Transform for local multi-resolution texture analysis using brain MRI of multiple sclerosis patientsGlen Pridham, Olayinka Oladosu, Yunyan Zhang
Frontiers in Neuroinformatics|March 30, 2026
CycleGAN models show consistent brain MRI synthesis across datasets supporting downstream tissue characterization in multiple sclerosisShayan Shahrokhi, Olayinka Oladosu, Rehman Tariq, et al.
NMR in Biomedicine|May 20, 2026
A Z-Score Template Method for Person-Specific Augmentation of Clinical Brain MRI: An Investigation in Multiple SclerosisOlayinka Oladosu, Rehman Tariq, Shayan Shahrokhi, et al.
Scientific Reports|June 28, 2026
High angular resolution diffusion imaging of neurodevelopment in children through data creation with deep learningOlayinka Oladosu, Fanny Lo, Bryce Geeraert, et al.
Journal of Neuroscience Methods|February 14, 2021
Grad-CAM helps interpret the deep learning models trained to classify multiple sclerosis types using clinical brain magnetic resonance imagingYunyan Zhang, Daphne Hong, Daniel McClement, et al.
Magnetic Resonance Imaging|April 9, 2023
Neural network algorithms predict new diffusion MRI data for multi-compartmental analysis of brain microstructure in a clinical settingCayden Murray, Olayinka Oladosu, Manish Joshi, et al.
Frontiers in Human Neuroscience|August 29, 2022
Advanced diffusion MRI and image texture analysis detect widespread brain structural differences between relapsing-remitting and secondary progressive multiple sclerosisOlayinka Oladosu, Wei-Qiao Liu, Lenora Brown, et al.
Journal of Magnetic Resonance Imaging : JMRI|September 20, 2018
Characterizing Structural Changes With Devolving Remyelination Following Experimental Demyelination Using High Angular Resolution Diffusion MRI and Texture AnalysisTim Luo, Olayinka Oladosu, Khalil S Rawji, et al.
Frontiers in Neuroscience|May 24, 2021
Advanced Analysis of Diffusion Tensor Imaging Along With Machine Learning Provides New Sensitive Measures of Tissue Pathology and Intra-Lesion Activity in Multiple SclerosisOlayinka Oladosu, Wei-Qiao Liu, Bruce G Pike, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Journal of Neuroscience Methods|August 31, 2025
Advanced brain diffusion MRI and image texture measures have the potential to predict multi-domain functional outcomes in multiple sclerosisOlayinka Oladosu, Yunyan Zhang
Magnetic Resonance Imaging|July 21, 2020
Evaluation of discrete orthogonal versus polar Stockwell Transform for local multi-resolution texture analysis using brain MRI of multiple sclerosis patientsGlen Pridham, Olayinka Oladosu, Yunyan Zhang
Frontiers in Neuroinformatics|March 30, 2026
CycleGAN models show consistent brain MRI synthesis across datasets supporting downstream tissue characterization in multiple sclerosisShayan Shahrokhi, Olayinka Oladosu, Rehman Tariq, et al.
NMR in Biomedicine|May 20, 2026
A Z-Score Template Method for Person-Specific Augmentation of Clinical Brain MRI: An Investigation in Multiple SclerosisOlayinka Oladosu, Rehman Tariq, Shayan Shahrokhi, et al.
Scientific Reports|June 28, 2026
High angular resolution diffusion imaging of neurodevelopment in children through data creation with deep learningOlayinka Oladosu, Fanny Lo, Bryce Geeraert, et al.
Journal of Neuroscience Methods|February 14, 2021
Grad-CAM helps interpret the deep learning models trained to classify multiple sclerosis types using clinical brain magnetic resonance imagingYunyan Zhang, Daphne Hong, Daniel McClement, et al.
Magnetic Resonance Imaging|April 9, 2023
Neural network algorithms predict new diffusion MRI data for multi-compartmental analysis of brain microstructure in a clinical settingCayden Murray, Olayinka Oladosu, Manish Joshi, et al.
Frontiers in Human Neuroscience|August 29, 2022
Advanced diffusion MRI and image texture analysis detect widespread brain structural differences between relapsing-remitting and secondary progressive multiple sclerosisOlayinka Oladosu, Wei-Qiao Liu, Lenora Brown, et al.
Journal of Magnetic Resonance Imaging : JMRI|September 20, 2018
Characterizing Structural Changes With Devolving Remyelination Following Experimental Demyelination Using High Angular Resolution Diffusion MRI and Texture AnalysisTim Luo, Olayinka Oladosu, Khalil S Rawji, et al.
Frontiers in Neuroscience|May 24, 2021
Advanced Analysis of Diffusion Tensor Imaging Along With Machine Learning Provides New Sensitive Measures of Tissue Pathology and Intra-Lesion Activity in Multiple SclerosisOlayinka Oladosu, Wei-Qiao Liu, Bruce G Pike, et al.
Pageof 2