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Automatic classification of Alzheimer's Disease vs. Frontotemporal dementia: A spatial decision tree approach with FDG-PET
2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro
◽
10.1109/isbi.2008.4541019
◽
2008
◽
Cited By ~ 6
Author(s):
N. Sadeghi
◽
N. L. Foster
◽
A. Y. Wang
◽
S. Minoshima
◽
A. P. Lieberman
◽
...
Keyword(s):
Alzheimer’S Disease
◽
Alzheimer's Disease
◽
Decision Tree
◽
Frontotemporal Dementia
◽
Fdg Pet
◽
Automatic Classification
◽
Tree Approach
Download Full-text
Related Documents
Cited By
References
Diagnosis and Grading of Alzheimer’s Disease via Automatic Classification of FDG-PET Scans
Lecture Notes in Computer Science - Brain and Health Informatics
◽
10.1007/978-3-319-02753-1_27
◽
2013
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pp. 266-276
Author(s):
Ryan G. Benton
◽
Suresh Choubey
◽
David G. Clark
◽
Tom Johnsten
◽
Vijay V. Raghavan
Keyword(s):
Alzheimer’S Disease
◽
Alzheimer's Disease
◽
Fdg Pet
◽
Automatic Classification
◽
Pet Scans
Download Full-text
P4-297: MR-LESS SURFACE-BASED [18 F]-FDG PET IMAGING DIFFERENTIATES FRONTOTEMPORAL DEMENTIA FROM ALZHEIMER'S DISEASE
Alzheimer s & Dementia
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10.1016/j.jalz.2018.07.119
◽
2006
◽
Vol 14
(7S_Part_30)
◽
pp. P1564-P1565
Author(s):
Charles B. Malpas
◽
Sarah Lee
◽
Kirrily Rogers
◽
David G. Darby
◽
Michele Veldsman
◽
...
Keyword(s):
Alzheimer’S Disease
◽
Alzheimer's Disease
◽
Frontotemporal Dementia
◽
Pet Imaging
◽
Fdg Pet
Download Full-text
IC-P1-051: Automatic diagnostic classification of dementia with FDG-PET using a spatial - decision tree approach
Alzheimer s & Dementia
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10.1016/j.jalz.2008.05.061
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2008
◽
Vol 4
◽
pp. T28-T28
Author(s):
N. Sadeghi
◽
N.L. Foster
◽
A.Y. Wang
◽
S. Minoshima
◽
A.P. Lieberman
◽
...
Keyword(s):
Decision Tree
◽
Fdg Pet
◽
Diagnostic Classification
◽
Tree Approach
Download Full-text
Automatic classification of cortical thickness patterns in Alzheimer’s disease patients using the Louvain modularity clustering method
14th International Symposium on Medical Information Processing and Analysis
◽
10.1117/12.2511573
◽
2018
◽
Cited By ~ 3
Author(s):
Fabian Corlier
◽
Daniel Moyer
◽
Meredith N. Braskie
◽
Paul M. Thompson
◽
Guillaume Dorothee
◽
...
Keyword(s):
Alzheimer’S Disease
◽
Alzheimer's Disease
◽
Cortical Thickness
◽
Automatic Classification
◽
Clustering Method
Download Full-text
Automatic classification of Alzheimer's disease with resting-state fMRI and graph theory
2014 21th Iranian Conference on Biomedical Engineering (ICBME)
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10.1109/icbme.2014.7043931
◽
2014
◽
Cited By ~ 2
Author(s):
Ali Khazaee
◽
Ataollah Ebrahimzadeh
◽
Abbas Babajani-Feremi
Keyword(s):
Alzheimer’S Disease
◽
Alzheimer's Disease
◽
Graph Theory
◽
Resting State
◽
Resting State Fmri
◽
Automatic Classification
Download Full-text
FDG-PET improves accuracy in distinguishing frontotemporal dementia and Alzheimer's disease
Brain
◽
10.1093/brain/awm177
◽
2007
◽
Vol 130
(10)
◽
pp. 2616-2635
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Cited By ~ 321
Author(s):
N. L. Foster
◽
J. L. Heidebrink
◽
C. M. Clark
◽
W. J. Jagust
◽
S. E. Arnold
◽
...
Keyword(s):
Alzheimer’S Disease
◽
Alzheimer's Disease
◽
Frontotemporal Dementia
◽
Fdg Pet
Download Full-text
Multi-region analysis of longitudinal FDG-PET for the classification of Alzheimer's disease
NeuroImage
◽
10.1016/j.neuroimage.2011.12.071
◽
2012
◽
Vol 60
(1)
◽
pp. 221-229
◽
Cited By ~ 80
Author(s):
Katherine R. Gray
◽
Robin Wolz
◽
Rolf A. Heckemann
◽
Paul Aljabar
◽
Alexander Hammers
◽
...
Keyword(s):
Alzheimer’S Disease
◽
Alzheimer's Disease
◽
Fdg Pet
◽
Region Analysis
Download Full-text
Use of MRI cortical thickness, FDG PET, and PIB (Pittsburgh B) PET imaging to distinguish atypical Alzheimer's Disease and frontotemporal dementia cases
Frontiers in Human Neuroscience
◽
10.3389/conf.fnins.2010.14.00140
◽
2010
◽
Vol 4
◽
Author(s):
Evans A.
Keyword(s):
Alzheimer’S Disease
◽
Alzheimer's Disease
◽
Frontotemporal Dementia
◽
Cortical Thickness
◽
Pet Imaging
◽
Fdg Pet
◽
Atypical Alzheimer’S Disease
Download Full-text
Machine learning based hierarchical classification of frontotemporal dementia and Alzheimer's disease
NeuroImage Clinical
◽
10.1016/j.nicl.2019.101811
◽
2019
◽
Vol 23
◽
pp. 101811
◽
Cited By ~ 7
Author(s):
Jun Pyo Kim
◽
Jeonghun Kim
◽
Yu Hyun Park
◽
Seong Beom Park
◽
Jin San Lee
◽
...
Keyword(s):
Machine Learning
◽
Alzheimer’S Disease
◽
Alzheimer's Disease
◽
Frontotemporal Dementia
◽
Hierarchical Classification
Download Full-text
Faculty Opinions recommendation of FDG-PET improves accuracy in distinguishing frontotemporal dementia and Alzheimer's disease.
Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature
◽
10.3410/f.1116456.572477
◽
2008
◽
Author(s):
Daniela Perani
Keyword(s):
Alzheimer’S Disease
◽
Alzheimer's Disease
◽
Frontotemporal Dementia
◽
Fdg Pet
Download Full-text
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