539 related articles for article (PubMed ID: 21814561)
1. Identification of conversion from mild cognitive impairment to Alzheimer's disease using multivariate predictors.
Cui Y; Liu B; Luo S; Zhen X; Fan M; Liu T; Zhu W; Park M; Jiang T; Jin JS;
PLoS One; 2011; 6(7):e21896. PubMed ID: 21814561
[TBL] [Abstract][Full Text] [Related]
2. ApoE4 effects on automated diagnostic classifiers for mild cognitive impairment and Alzheimer's disease.
Apostolova LG; Hwang KS; Kohannim O; Avila D; Elashoff D; Jack CR; Shaw L; Trojanowski JQ; Weiner MW; Thompson PM;
Neuroimage Clin; 2014; 4():461-72. PubMed ID: 24634832
[TBL] [Abstract][Full Text] [Related]
3. Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification.
Davatzikos C; Bhatt P; Shaw LM; Batmanghelich KN; Trojanowski JQ
Neurobiol Aging; 2011 Dec; 32(12):2322.e19-27. PubMed ID: 20594615
[TBL] [Abstract][Full Text] [Related]
4. Prognostic classification of mild cognitive impairment and Alzheimer's disease: MRI independent component analysis.
Willette AA; Calhoun VD; Egan JM; Kapogiannis D;
Psychiatry Res; 2014 Nov; 224(2):81-8. PubMed ID: 25194437
[TBL] [Abstract][Full Text] [Related]
5. Incremental value of biomarker combinations to predict progression of mild cognitive impairment to Alzheimer's dementia.
Frölich L; Peters O; Lewczuk P; Gruber O; Teipel SJ; Gertz HJ; Jahn H; Jessen F; Kurz A; Luckhaus C; Hüll M; Pantel J; Reischies FM; Schröder J; Wagner M; Rienhoff O; Wolf S; Bauer C; Schuchhardt J; Heuser I; Rüther E; Henn F; Maier W; Wiltfang J; Kornhuber J
Alzheimers Res Ther; 2017 Oct; 9(1):84. PubMed ID: 29017593
[TBL] [Abstract][Full Text] [Related]
6. A parameter-efficient deep learning approach to predict conversion from mild cognitive impairment to Alzheimer's disease.
Spasov S; Passamonti L; Duggento A; Liò P; Toschi N;
Neuroimage; 2019 Apr; 189():276-287. PubMed ID: 30654174
[TBL] [Abstract][Full Text] [Related]
7. Neuropsychological predictors of conversion from mild cognitive impairment to Alzheimer's disease: a feature selection ensemble combining stability and predictability.
Pereira T; Ferreira FL; Cardoso S; Silva D; de Mendonça A; Guerreiro M; Madeira SC;
BMC Med Inform Decis Mak; 2018 Dec; 18(1):137. PubMed ID: 30567554
[TBL] [Abstract][Full Text] [Related]
8. Multivariate Data Analysis and Machine Learning for Prediction of MCI-to-AD Conversion.
Skolariki K; Terrera GM; Danso S
Adv Exp Med Biol; 2020; 1194():81-103. PubMed ID: 32468526
[TBL] [Abstract][Full Text] [Related]
9. T1rho MRI and CSF biomarkers in diagnosis of Alzheimer's disease.
Haris M; Yadav SK; Rizwan A; Singh A; Cai K; Kaura D; Wang E; Davatzikos C; Trojanowski JQ; Melhem ER; Marincola FM; Borthakur A
Neuroimage Clin; 2015; 7():598-604. PubMed ID: 25844314
[TBL] [Abstract][Full Text] [Related]
10. An Efficient Combination among sMRI, CSF, Cognitive Score, and
Khatri U; Kwon GR
Comput Intell Neurosci; 2020; 2020():8015156. PubMed ID: 32565773
[TBL] [Abstract][Full Text] [Related]
11. Value of diagnostic tests to predict conversion to Alzheimer's disease in young and old patients with amnestic mild cognitive impairment.
Schmand B; Eikelenboom P; van Gool WA;
J Alzheimers Dis; 2012; 29(3):641-8. PubMed ID: 22297644
[TBL] [Abstract][Full Text] [Related]
12. Multimodal classification of Alzheimer's disease and mild cognitive impairment.
Zhang D; Wang Y; Zhou L; Yuan H; Shen D;
Neuroimage; 2011 Apr; 55(3):856-67. PubMed ID: 21236349
[TBL] [Abstract][Full Text] [Related]
13. CSF and brain structural imaging markers of the Alzheimer's pathological cascade.
Yang X; Tan MZ; Qiu A
PLoS One; 2012; 7(12):e47406. PubMed ID: 23284610
[TBL] [Abstract][Full Text] [Related]
14. Sparse learning and stability selection for predicting MCI to AD conversion using baseline ADNI data.
Ye J; Farnum M; Yang E; Verbeeck R; Lobanov V; Raghavan N; Novak G; DiBernardo A; Narayan VA;
BMC Neurol; 2012 Jun; 12():46. PubMed ID: 22731740
[TBL] [Abstract][Full Text] [Related]
15. Enriching amnestic mild cognitive impairment populations for clinical trials: optimal combination of biomarkers to predict conversion to dementia.
Yu P; Dean RA; Hall SD; Qi Y; Sethuraman G; Willis BA; Siemers ER; Martenyi F; Tauscher JT; Schwarz AJ
J Alzheimers Dis; 2012; 32(2):373-85. PubMed ID: 22796873
[TBL] [Abstract][Full Text] [Related]
16. A Machine Learning-Based Holistic Approach to Predict the Clinical Course of Patients within the Alzheimer's Disease Spectrum.
Massetti N; Russo M; Franciotti R; Nardini D; Mandolini GM; Granzotto A; Bomba M; Delli Pizzi S; Mosca A; Scherer R; Onofrj M; Sensi SL; ;
J Alzheimers Dis; 2022; 85(4):1639-1655. PubMed ID: 34958014
[TBL] [Abstract][Full Text] [Related]
17. Predicting Progression From Mild Cognitive Impairment to Alzheimer's Disease Using Autoregressive Modelling of Longitudinal and Multimodal Biomarkers.
Minhas S; Khanum A; Riaz F; Khan SA; Alvi A
IEEE J Biomed Health Inform; 2018 May; 22(3):818-825. PubMed ID: 28534796
[TBL] [Abstract][Full Text] [Related]
18. Cerebrospinal fluid synaptosomal-associated protein 25 is a key player in synaptic degeneration in mild cognitive impairment and Alzheimer's disease.
Zhang H; Therriault J; Kang MS; Ng KP; Pascoal TA; Rosa-Neto P; Gauthier S;
Alzheimers Res Ther; 2018 Aug; 10(1):80. PubMed ID: 30115118
[TBL] [Abstract][Full Text] [Related]
19. Combining Cerebrospinal Fluid Biomarkers and Neuropsychological Assessment: A Simple and Cost-Effective Algorithm to Predict the Progression from Mild Cognitive Impairment to Alzheimer's Disease Dementia.
Mazzeo S; Santangelo R; Bernasconi MP; Cecchetti G; Fiorino A; Pinto P; Passerini G; Falautano M; Comi G; Magnani G
J Alzheimers Dis; 2016 Oct; 54(4):1495-1508. PubMed ID: 27589522
[TBL] [Abstract][Full Text] [Related]
20. Plasma Biomarkers as Predictors of Progression to Dementia in Individuals with Mild Cognitive Impairment.
Nallapu BT; Petersen KK; Lipton RB; Davatzikos C; Ezzati A;
J Alzheimers Dis; 2024; 98(1):231-246. PubMed ID: 38393899
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
