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Kunio Nakamura
Kunio Nakamura
Assistant Professor of Molecular Medicine, Biomedical Engineering, Cleveland Clinic
Verified email at ccf.org - Homepage
Title
Cited by
Cited by
Year
Gray matter atrophy in multiple sclerosis: a longitudinal study
E Fisher, JC Lee, K Nakamura, RA Rudick
Annals of neurology 64 (3), 255-265, 2008
7412008
Phase 2 trial of ibudilast in progressive multiple sclerosis
RJ Fox, CS Coffey, R Conwit, ME Cudkowicz, T Gleason, A Goodman, ...
New England Journal of Medicine 379 (9), 846-855, 2018
1942018
Gray matter atrophy correlates with MS disability progression measured with MSFC but not EDSS
RA Rudick, JC Lee, K Nakamura, E Fisher
Journal of the neurological sciences 282 (1-2), 106-111, 2009
1672009
Estriol combined with glatiramer acetate for women with relapsing-remitting multiple sclerosis: a randomised, placebo-controlled, phase 2 trial
RR Voskuhl, HJ Wang, TCJ Wu, NL Sicotte, K Nakamura, F Kurth, N Itoh, ...
The Lancet Neurology 15 (1), 35-46, 2016
1462016
Imaging correlates of axonal swelling in chronic multiple sclerosis brains
E Fisher, A Chang, RJ Fox, JA Tkach, T Svarovsky, K Nakamura, ...
Annals of neurology 62 (3), 219-228, 2007
1272007
Cortical neuronal densities and cerebral white matter demyelination in multiple sclerosis: a retrospective study
BD Trapp, M Vignos, J Dudman, A Chang, E Fisher, SM Staugaitis, ...
The Lancet Neurology 17 (10), 870-884, 2018
1232018
Segmentation of brain magnetic resonance images for measurement of gray matter atrophy in multiple sclerosis patients
K Nakamura, E Fisher
Neuroimage 44 (3), 769-776, 2009
1112009
Diurnal fluctuations in brain volume: statistical analyses of MRI from large populations
K Nakamura, RA Brown, S Narayanan, DL Collins, DL Arnold, ...
Neuroimage 118, 126-132, 2015
952015
Clinically feasible MTR is sensitive to cortical demyelination in MS
JTH Chen, K Easley, C Schneider, K Nakamura, GJ Kidd, A Chang, ...
Neurology 80 (3), 246-252, 2013
942013
Correlation between brain volume change and T2 relaxation time induced by dehydration and rehydration: implications for monitoring atrophy in clinical studies
K Nakamura, RA Brown, D Araujo, S Narayanan, DL Arnold
NeuroImage: Clinical 6, 166-170, 2014
782014
Jacobian integration method increases the statistical power to measure gray matter atrophy in multiple sclerosis
K Nakamura, N Guizard, VS Fonov, S Narayanan, DL Collins, DL Arnold
NeuroImage Clinical 4, 10-17, 2014
742014
T1‐/T2‐weighted ratio differs in demyelinated cortex in multiple sclerosis
K Nakamura, JT Chen, D Ontaneda, RJ Fox, BD Trapp
Annals of neurology 82 (4), 635-639, 2017
722017
CLADA: cortical longitudinal atrophy detection algorithm
K Nakamura, R Fox, E Fisher
Neuroimage 54 (1), 278-289, 2011
652011
Automated cartilage and meniscus segmentation of knee MRI with conditional generative adversarial networks
S Gaj, M Yang, K Nakamura, X Li
Magnetic resonance in medicine 84 (1), 437-449, 2020
552020
Estimating and accounting for the effect of MRI scanner changes on longitudinal whole-brain volume change measurements
H Lee, K Nakamura, S Narayanan, RA Brown, DL Arnold, ...
Neuroimage 184, 555-565, 2019
322019
Assessing biological and methodological aspects of brain volume loss in multiple sclerosis
M Andorra, K Nakamura, EJ Lampert, I Pulido-Valdeolivas, I Zubizarreta, ...
JAMA neurology 75 (10), 1246-1255, 2018
272018
Effect of intramuscular interferon beta-1a on gray matter atrophy in relapsing−remitting multiple sclerosis: A retrospective analysis
E Fisher, K Nakamura, JC Lee, X You, B Sperling, RA Rudick
Multiple Sclerosis Journal, 2015
262015
Intrinsic and extrinsic mechanisms of thalamic pathology in multiple sclerosis
KR Mahajan, K Nakamura, JA Cohen, BD Trapp, D Ontaneda
Annals of neurology 88 (1), 81-92, 2020
242020
Non-local means inpainting of MS lesions in longitudinal image processing
N Guizard, K Nakamura, P Coupé, VS Fonov, DL Arnold, DL Collins
Frontiers in neuroscience 9, 456, 2015
232015
The international workshop on osteoarthritis imaging knee MRI segmentation challenge: a multi-institute evaluation and analysis framework on a standardized dataset
AD Desai, F Caliva, C Iriondo, A Mortazi, S Jambawalikar, U Bagci, ...
Radiology: Artificial Intelligence 3 (3), e200078, 2021
192021
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