602 related articles for article (PubMed ID: 34958014)
1. 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]
2. Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjects.
Moradi E; Pepe A; Gaser C; Huttunen H; Tohka J;
Neuroimage; 2015 Jan; 104():398-412. PubMed ID: 25312773
[TBL] [Abstract][Full Text] [Related]
3. Comparison of Machine Learning-based Approaches to Predict the Conversion to Alzheimer's Disease from Mild Cognitive Impairment.
Franciotti R; Nardini D; Russo M; Onofrj M; Sensi SL; ;
Neuroscience; 2023 Mar; 514():143-152. PubMed ID: 36736612
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Varying strength of cognitive markers and biomarkers to predict conversion and cognitive decline in an early-stage-enriched mild cognitive impairment sample.
Egli SC; Hirni DI; Taylor KI; Berres M; Regeniter A; Gass A; Monsch AU; Sollberger M
J Alzheimers Dis; 2015; 44(2):625-33. PubMed ID: 25322924
[TBL] [Abstract][Full Text] [Related]
6. Random forest feature selection, fusion and ensemble strategy: Combining multiple morphological MRI measures to discriminate among healhy elderly, MCI, cMCI and alzheimer's disease patients: From the alzheimer's disease neuroimaging initiative (ADNI) database.
Dimitriadis SI; Liparas D; Tsolaki MN;
J Neurosci Methods; 2018 May; 302():14-23. PubMed ID: 29269320
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Biomarker Extraction Based on Subspace Learning for the Prediction of Mild Cognitive Impairment Conversion.
Li Y; Fang Y; Wang J; Zhang H; Hu B
Biomed Res Int; 2021; 2021():5531940. PubMed ID: 34513992
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. A Clinically-Translatable Machine Learning Algorithm for the Prediction of Alzheimer's Disease Conversion in Individuals with Mild and Premild Cognitive Impairment.
Grassi M; Perna G; Caldirola D; Schruers K; Duara R; Loewenstein DA
J Alzheimers Dis; 2018; 61(4):1555-1573. PubMed ID: 29355115
[TBL] [Abstract][Full Text] [Related]
11. Integration and relative value of biomarkers for prediction of MCI to AD progression: spatial patterns of brain atrophy, cognitive scores, APOE genotype and CSF biomarkers.
Da X; Toledo JB; Zee J; Wolk DA; Xie SX; Ou Y; Shacklett A; Parmpi P; Shaw L; Trojanowski JQ; Davatzikos C;
Neuroimage Clin; 2014; 4():164-73. PubMed ID: 24371799
[TBL] [Abstract][Full Text] [Related]
12. Local MRI analysis approach in the diagnosis of early and prodromal Alzheimer's disease.
Chincarini A; Bosco P; Calvini P; Gemme G; Esposito M; Olivieri C; Rei L; Squarcia S; Rodriguez G; Bellotti R; Cerello P; De Mitri I; Retico A; Nobili F;
Neuroimage; 2011 Sep; 58(2):469-80. PubMed ID: 21718788
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Comparing different algorithms for the course of Alzheimer's disease using machine learning.
Tang X; Liu J
Ann Palliat Med; 2021 Sep; 10(9):9715-9724. PubMed ID: 34628897
[TBL] [Abstract][Full Text] [Related]
15. Neuronal injury biomarkers and prognosis in ADNI subjects with normal cognition.
Toledo JB; Weiner MW; Wolk DA; Da X; Chen K; Arnold SE; Jagust W; Jack C; Reiman EM; Davatzikos C; Shaw LM; Trojanowski JQ;
Acta Neuropathol Commun; 2014 Mar; 2():26. PubMed ID: 24602322
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. 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]
18. Diagnostic and Prognostic Value of the Combination of Two Measures of Verbal Memory in Mild Cognitive Impairment due to Alzheimer's Disease.
Sala I; Illán-Gala I; Alcolea D; Sánchez-Saudinós MB; Salgado SA; Morenas-Rodríguez E; Subirana A; Videla L; Clarimón J; Carmona-Iragui M; Ribosa-Nogué R; Blesa R; Fortea J; Lleó A
J Alzheimers Dis; 2017; 58(3):909-918. PubMed ID: 28527215
[TBL] [Abstract][Full Text] [Related]
19. Optimizing Machine Learning Methods to Improve Predictive Models of Alzheimer's Disease.
Ezzati A; Zammit AR; Harvey DJ; Habeck C; Hall CB; Lipton RB;
J Alzheimers Dis; 2019; 71(3):1027-1036. PubMed ID: 31476152
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]