117 related articles for article (PubMed ID: 36277022)
21. Visual Versus Fully Automated Analyses of 18F-FDG and Amyloid PET for Prediction of Dementia Due to Alzheimer Disease in Mild Cognitive Impairment.
Grimmer T; Wutz C; Alexopoulos P; Drzezga A; Förster S; Förstl H; Goldhardt O; Ortner M; Sorg C; Kurz A
J Nucl Med; 2016 Feb; 57(2):204-7. PubMed ID: 26585056
[TBL] [Abstract][Full Text] [Related]
22. Automated analysis of FDG PET as a tool for single-subject probabilistic prediction and detection of Alzheimer's disease dementia.
Arbizu J; Prieto E; Martínez-Lage P; Martí-Climent JM; García-Granero M; Lamet I; Pastor P; Riverol M; Gómez-Isla MT; Peñuelas I; Richter JA; Weiner MW;
Eur J Nucl Med Mol Imaging; 2013 Sep; 40(9):1394-405. PubMed ID: 23715905
[TBL] [Abstract][Full Text] [Related]
23. The impact of atlas-based MR attenuation correction on the diagnosis of FDG-PET/MR for Alzheimer's diseases- A simulation study combining multi-center data and ADNI-data.
Sekine T; Buck A; Delso G; Kemp B; Ter Voert EEGW; Huellner M; Veit-Haibach P; Kaushik S; Wiesinger F; Warnock G;
PLoS One; 2020; 15(6):e0233886. PubMed ID: 32492074
[TBL] [Abstract][Full Text] [Related]
24. Longitudinal FDG-PET features for the classification of Alzheimer's disease.
Rodrigues F; Silveira M
Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():1941-4. PubMed ID: 25570360
[TBL] [Abstract][Full Text] [Related]
25. Biomarker-Based Prediction of Progression to Dementia: F-18 FDG-PET in Amnestic MCI.
Tripathi M; Tripathi M; Parida GK; Kumar R; Dwivedi S; Nehra A; Bal C
Neurol India; 2019; 67(5):1310-1317. PubMed ID: 31744965
[TBL] [Abstract][Full Text] [Related]
26. The risk prediction of Alzheimer's disease based on the deep learning model of brain 18F-FDG positron emission tomography.
Yang Z; Liu Z
Saudi J Biol Sci; 2020 Feb; 27(2):659-665. PubMed ID: 32210685
[TBL] [Abstract][Full Text] [Related]
27. Multi-source feature learning for joint analysis of incomplete multiple heterogeneous neuroimaging data.
Yuan L; Wang Y; Thompson PM; Narayan VA; Ye J;
Neuroimage; 2012 Jul; 61(3):622-32. PubMed ID: 22498655
[TBL] [Abstract][Full Text] [Related]
28. Apathy as a feature of prodromal Alzheimer's disease: an FDG-PET ADNI study.
Delrieu J; Desmidt T; Camus V; Sourdet S; Boutoleau-Bretonnière C; Mullin E; Vellas B; Payoux P; Lebouvier T;
Int J Geriatr Psychiatry; 2015 May; 30(5):470-7. PubMed ID: 24953008
[TBL] [Abstract][Full Text] [Related]
29. A 3D densely connected convolution neural network with connection-wise attention mechanism for Alzheimer's disease classification.
Zhang J; Zheng B; Gao A; Feng X; Liang D; Long X
Magn Reson Imaging; 2021 May; 78():119-126. PubMed ID: 33588019
[TBL] [Abstract][Full Text] [Related]
30. Controls-based denoising, a new approach for medical image analysis, improves prediction of conversion to Alzheimer's disease with FDG-PET.
Blum D; Liepelt-Scarfone I; Berg D; Gasser T; la Fougère C; Reimold M;
Eur J Nucl Med Mol Imaging; 2019 Oct; 46(11):2370-2379. PubMed ID: 31338550
[TBL] [Abstract][Full Text] [Related]
31. 18F-FDG PET for Prediction of Conversion to Alzheimer's Disease Dementia in People with Mild Cognitive Impairment: An Updated Systematic Review of Test Accuracy.
Smailagic N; Lafortune L; Kelly S; Hyde C; Brayne C
J Alzheimers Dis; 2018; 64(4):1175-1194. PubMed ID: 30010119
[TBL] [Abstract][Full Text] [Related]
32. Multi-Modality Sparse Representation for Alzheimer's Disease Classification.
Kwak K; Yun HJ; Park G; Lee JM;
J Alzheimers Dis; 2018; 65(3):807-817. PubMed ID: 29562503
[TBL] [Abstract][Full Text] [Related]
33. Temporal and Spatial Analysis of Alzheimer's Disease Based on an Improved Convolutional Neural Network and a Resting-State FMRI Brain Functional Network.
Sun H; Wang A; He S
Int J Environ Res Public Health; 2022 Apr; 19(8):. PubMed ID: 35457373
[TBL] [Abstract][Full Text] [Related]
34. Prediction of Alzheimer's Disease in Amnestic Mild Cognitive Impairment Subtypes: Stratification Based on Imaging Biomarkers.
Ota K; Oishi N; Ito K; Fukuyama H; ;
J Alzheimers Dis; 2016 Apr; 52(4):1385-401. PubMed ID: 27079727
[TBL] [Abstract][Full Text] [Related]
35. Effects of imaging modalities, brain atlases and feature selection on prediction of Alzheimer's disease.
Ota K; Oishi N; Ito K; Fukuyama H; ;
J Neurosci Methods; 2015 Dec; 256():168-83. PubMed ID: 26318777
[TBL] [Abstract][Full Text] [Related]
36. Brain metabolic connectome classify mild cognitive impairment into Alzheimer's dementia
Wang M; Yan Z; Jiang J
Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():32-35. PubMed ID: 31945838
[TBL] [Abstract][Full Text] [Related]
37. A Cross-Validation of FDG- and Amyloid-PET Biomarkers in Mild Cognitive Impairment for the Risk Prediction to Dementia due to Alzheimer's Disease in a Clinical Setting.
Iaccarino L; Chiotis K; Alongi P; Almkvist O; Wall A; Cerami C; Bettinardi V; Gianolli L; Nordberg A; Perani D
J Alzheimers Dis; 2017; 59(2):603-614. PubMed ID: 28671117
[TBL] [Abstract][Full Text] [Related]
38. Multiscale spatial gradient features for
Pan X; Adel M; Fossati C; Gaidon T; Wojak J; Guedj E;
Comput Methods Programs Biomed; 2019 Oct; 180():105027. PubMed ID: 31430595
[TBL] [Abstract][Full Text] [Related]
39. Individual brain metabolic connectome indicator based on Kullback-Leibler Divergence Similarity Estimation predicts progression from mild cognitive impairment to Alzheimer's dementia.
Wang M; Jiang J; Yan Z; Alberts I; Ge J; Zhang H; Zuo C; Yu J; Rominger A; Shi K;
Eur J Nucl Med Mol Imaging; 2020 Nov; 47(12):2753-2764. PubMed ID: 32318784
[TBL] [Abstract][Full Text] [Related]
40. FDG-PET as an independent biomarker for Alzheimer's biological diagnosis: a longitudinal study.
Ou YN; Xu W; Li JQ; Guo Y; Cui M; Chen KL; Huang YY; Dong Q; Tan L; Yu JT;
Alzheimers Res Ther; 2019 Jun; 11(1):57. PubMed ID: 31253185
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]