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4453 Total Publications

DTI measurements for Alzheimer's classification
T. Maggipinto, R. Bellotti, N. Amoroso, D. Diacono, G. Donvito, E. Lella, A. Monaco, M. Antonella Scelsi and S. Tangaro
2017; Journal Phys Med Biol; vol. 62; no. 6; pp. 2361-2375; doi:10.1088/1361-6560/aa5dbe
Learning non-linear patch embeddings with neural networks for label fusion
G. Sanroma, O. M. Benkarim, G. Piella, O. Camara, G. Wu, D. Shen, J. D. Gispert, J. L. Molinuevo, M. A. Gonzalez Ballester and I. Alzheimer's Disease Neuroimaging
PMCID:5896774 ; 2017; Journal Med Image Anal; vol. 44; pp. 143-155; doi:10.1016/j.media.2017.11.013
Risk factors for amyloid positivity in older people reporting significant memory concern
J. Zhang, W. Zhou, R. M. Cassidy, H. Su, Y. Su, X. Zhang and I. Alzheimer's Disease Neuroimaging
2017; Journal Compr Psychiatry; vol. 80; pp. 126-131; doi:10.1016/j.comppsych.2017.09.015
Predicting progression from mild cognitive impairment to Alzheimer's disease using longitudinalcallosal atrophy
S. Minhas, A. Khanum, F. Riaz, S. A. Khan and A. Alvi
PMID: 27239537 ; PMCID:4879655 ; 2017; Journal IEEE J Biomed Health Inform; vol. 22; no. 3; pp. 818-825; doi:10.1109/JBHI.2017.2703918
Shape-Attributes of Brain Structures as Biomarkers for Alzheimer’s Disease
T. Glozman, J. Solomon, F. Pestilli, L. Guibas and I. Alzheimer's Disease Neuroimaging
PMID: 27911322 ; PMCID:5240557 ; 2017; Journal J Alzheimers Dis; vol. 56; no. 1; pp. 287-295; doi:10.3233/JAD-160900
Predictive Utility of Marketed Volumetric Software Tools in Subjects at Risk for Alzheimer Disease: Do Regions Outside the Hippocampus Matter?
T. P. Tanpitukpongse, M. A. Mazurowski, J. Ikhena and J. R. Petrella
PMID: 28057634 ; PMCID:5352470 ; 2017; Journal AJNR Am J Neuroradiol; vol. 38; no. 3; pp. 546-552; doi:10.3174/ajnr.A5061
Rey’s Auditory Verbal Learning Test scores can be predicted from whole brain MRI in Alzheimer’s disease
Moradi E1, Hallikainen I2, Hänninen T3, Tohka J4; Alzheimer's Disease Neuroimaging Initiative
PMID: 28116234 ; PMCID:5233798 ; 2017; Journal Neuroimage Clinic; vol. 13; pp. 415-427; doi:10.1016/j.nicl.2016.12.011
Association analysis of rare variants near the APOE region with CSF and neuroimaging biomarkers of Alzheimer’s disease
K. Nho, S. Kim, E. Horgusluoglu, S. L. Risacher, L. Shen, D. Kim, S. Lee, T. Foroud, L. M. Shaw and J. Q. Trojanowski
PMID: 28589856 ; PMCID:5461522 ; 2017; Journal BMC Medical Genomics; vol. 10; no. 1; pp. 29; doi:10.1186/s12920-017-0267-0
Detecting genetic association through shortest paths in a bidirected graph
M. Ueki, Y. Kawasaki, G. Tamiya and I. for Alzheimer's Disease Neuroimaging
PMCID:5849262 ; 2017; Journal Genet Epidemiol; vol. 41; no. 6; pp. 481-497; doi:10.1002/gepi.22051
Automatic labeling of MR brain images through extensible learning and atlas forests
L. Xu, H. Liu, E. Song, M. Yan, R. Jin and C. C. Hung
2017; Journal Med Phys; vol. 44; no. 12; pp. 6329-6340; doi:10.1002/mp.12591