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Neuroimage
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November 15, 2008
Segmentation of brain magnetic resonance images for measurement of gray matter atrophy in multiple sclerosis patients
Kunio Nakamura, Elizabeth Fisher
Multiple Sclerosis (Houndmills, Basingstoke, England)
|
January 24, 2022
T1/T2-weighted ratio is a surrogate marker of demyelination in multiple sclerosis-yes
Kunio Nakamura, Yufan Zheng, Daniel Ontaneda
Multiple Sclerosis and Related Disorders
|
January 6, 2024
Differentiating multiple sclerosis from non-specific white matter changes using a convolutional neural network image classification model
Moein Amin, Kunio Nakamura, Daniel Ontaneda
Neuroimage
|
August 3, 2010
CLADA: cortical longitudinal atrophy detection algorithm
Kunio Nakamura, Robert Fox, Elizabeth Fisher
Seminars in Neurology
|
November 10, 2025
Artificial Intelligence and Multiple Sclerosis: Past, Present, and Future
Moein Amin, Kunio Nakamura, Daniel Ontaneda
Plos One
|
September 1, 2021
Automatic segmentation of gadolinium-enhancing lesions in multiple sclerosis using deep learning from clinical MRI
Sibaji Gaj, Daniel Ontaneda, Kunio Nakamura
Multiple Sclerosis (Houndmills, Basingstoke, England)
|
September 21, 2018
Treatment decisions in MS: Shifting the goal posts or changing how we see them?
Kedar R Mahajan, Kunio Nakamura, Daniel Ontaneda
Magnetic Resonance in Medicine
|
December 4, 2019
Automated cartilage and meniscus segmentation of knee MRI with conditional generative adversarial networks
Sibaji Gaj, Mingrui Yang, Kunio Nakamura, et al.
Journal of Neuroimaging : Official Journal of the American Society of Neuroimaging
|
February 9, 2025
Subject-Based Transfer Learning in Longitudinal Multiple Sclerosis Lesion Segmentation
Sibaji Gaj, Bhaskar Thoomukuntla, Daniel Ontaneda, et al.
Annals of Neurology
|
July 29, 2008
Gray matter atrophy in multiple sclerosis: a longitudinal study
Elizabeth Fisher, Jar-Chi Lee, Kunio Nakamura, et al.
Page
of 10
Search research articles
Search
Showing results (1-10 of 96) with videos related to
Sort By:
Page
of 10
Neuroimage
|
November 15, 2008
Segmentation of brain magnetic resonance images for measurement of gray matter atrophy in multiple sclerosis patients
Kunio Nakamura, Elizabeth Fisher
Multiple Sclerosis (Houndmills, Basingstoke, England)
|
January 24, 2022
T1/T2-weighted ratio is a surrogate marker of demyelination in multiple sclerosis-yes
Kunio Nakamura, Yufan Zheng, Daniel Ontaneda
Multiple Sclerosis and Related Disorders
|
January 6, 2024
Differentiating multiple sclerosis from non-specific white matter changes using a convolutional neural network image classification model
Moein Amin, Kunio Nakamura, Daniel Ontaneda
Neuroimage
|
August 3, 2010
CLADA: cortical longitudinal atrophy detection algorithm
Kunio Nakamura, Robert Fox, Elizabeth Fisher
Seminars in Neurology
|
November 10, 2025
Artificial Intelligence and Multiple Sclerosis: Past, Present, and Future
Moein Amin, Kunio Nakamura, Daniel Ontaneda
Plos One
|
September 1, 2021
Automatic segmentation of gadolinium-enhancing lesions in multiple sclerosis using deep learning from clinical MRI
Sibaji Gaj, Daniel Ontaneda, Kunio Nakamura
Multiple Sclerosis (Houndmills, Basingstoke, England)
|
September 21, 2018
Treatment decisions in MS: Shifting the goal posts or changing how we see them?
Kedar R Mahajan, Kunio Nakamura, Daniel Ontaneda
Magnetic Resonance in Medicine
|
December 4, 2019
Automated cartilage and meniscus segmentation of knee MRI with conditional generative adversarial networks
Sibaji Gaj, Mingrui Yang, Kunio Nakamura, et al.
Journal of Neuroimaging : Official Journal of the American Society of Neuroimaging
|
February 9, 2025
Subject-Based Transfer Learning in Longitudinal Multiple Sclerosis Lesion Segmentation
Sibaji Gaj, Bhaskar Thoomukuntla, Daniel Ontaneda, et al.
Annals of Neurology
|
July 29, 2008
Gray matter atrophy in multiple sclerosis: a longitudinal study
Elizabeth Fisher, Jar-Chi Lee, Kunio Nakamura, et al.
Page
of 10