267 related articles for article (PubMed ID: 28870383)
21. A Novel Grading Biomarker for the Prediction of Conversion From Mild Cognitive Impairment to Alzheimer's Disease.
Tong T; Gao Q; Guerrero R; Ledig C; Chen L; Rueckert D; Initiative ADN
IEEE Trans Biomed Eng; 2017 Jan; 64(1):155-165. PubMed ID: 27046891
[TBL] [Abstract][Full Text] [Related]
22. 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]
23. Comparison of neuroimaging modalities for the prediction of conversion from mild cognitive impairment to Alzheimer's dementia.
Trzepacz PT; Yu P; Sun J; Schuh K; Case M; Witte MM; Hochstetler H; Hake A;
Neurobiol Aging; 2014 Jan; 35(1):143-51. PubMed ID: 23954175
[TBL] [Abstract][Full Text] [Related]
24. Optimization of Statistical Single Subject Analysis of Brain FDG PET for the Prognosis of Mild Cognitive Impairment-to-Alzheimer's Disease Conversion.
Lange C; Suppa P; Frings L; Brenner W; Spies L; Buchert R
J Alzheimers Dis; 2016; 49(4):945-959. PubMed ID: 26577523
[TBL] [Abstract][Full Text] [Related]
25. A disease state fingerprint for evaluation of Alzheimer's disease.
Mattila J; Koikkalainen J; Virkki A; Simonsen A; van Gils M; Waldemar G; Soininen H; Lötjönen J;
J Alzheimers Dis; 2011; 27(1):163-76. PubMed ID: 21799247
[TBL] [Abstract][Full Text] [Related]
26. Concurrence of big data analytics and healthcare: A systematic review.
Mehta N; Pandit A
Int J Med Inform; 2018 Jun; 114():57-65. PubMed ID: 29673604
[TBL] [Abstract][Full Text] [Related]
27. White matter signal abnormality quality differentiates mild cognitive impairment that converts to Alzheimer's disease from nonconverters.
Lindemer ER; Salat DH; Smith EE; Nguyen K; Fischl B; Greve DN;
Neurobiol Aging; 2015 Sep; 36(9):2447-57. PubMed ID: 26095760
[TBL] [Abstract][Full Text] [Related]
28. [Current topics about mild cognitive impairment (MCI)].
Yamamoto Y
Seishin Shinkeigaku Zasshi; 2011; 113(6):584-92. PubMed ID: 21815470
[TBL] [Abstract][Full Text] [Related]
29. Classification of Alzheimer's disease and prediction of mild cognitive impairment-to-Alzheimer's conversion from structural magnetic resource imaging using feature ranking and a genetic algorithm.
Beheshti I; Demirel H; Matsuda H;
Comput Biol Med; 2017 Apr; 83():109-119. PubMed ID: 28260614
[TBL] [Abstract][Full Text] [Related]
30. Random Forest ensembles for detection and prediction of Alzheimer's disease with a good between-cohort robustness.
Lebedev AV; Westman E; Van Westen GJ; Kramberger MG; Lundervold A; Aarsland D; Soininen H; Kłoszewska I; Mecocci P; Tsolaki M; Vellas B; Lovestone S; Simmons A;
Neuroimage Clin; 2014; 6():115-25. PubMed ID: 25379423
[TBL] [Abstract][Full Text] [Related]
31. Improved Diagnostic Multimodal Biomarkers for Alzheimer's Disease and Mild Cognitive Impairment.
Martínez-Torteya A; Treviño V; Tamez-Peña JG
Biomed Res Int; 2015; 2015():961314. PubMed ID: 26106620
[TBL] [Abstract][Full Text] [Related]
32. Controlled feature selection and compressive big data analytics: Applications to biomedical and health studies.
Marino S; Xu J; Zhao Y; Zhou N; Zhou Y; Dinov ID
PLoS One; 2018; 13(8):e0202674. PubMed ID: 30161148
[TBL] [Abstract][Full Text] [Related]
33. Novel Alzheimer's disease subtypes identified using a data and knowledge driven strategy.
Mitelpunkt A; Galili T; Kozlovski T; Bregman N; Shachar N; Markus-Kalish M; Benjamini Y
Sci Rep; 2020 Jan; 10(1):1327. PubMed ID: 31992745
[TBL] [Abstract][Full Text] [Related]
34. [Preclinical AD and Biomarker; from J-ADNI to AMED Preclinical Study].
Suzuki K
Brain Nerve; 2017 Jul; 69(7):691-700. PubMed ID: 28739982
[TBL] [Abstract][Full Text] [Related]
35. Corpus callosum atrophy associated with the degree of cognitive decline in patients with Alzheimer's dementia or mild cognitive impairment: a meta-analysis of the region of interest structural imaging studies.
Wang XD; Ren M; Zhu MW; Gao WP; Zhang J; Shen H; Lin ZG; Feng HL; Zhao CJ; Gao K
J Psychiatr Res; 2015 Apr; 63():10-9. PubMed ID: 25748753
[TBL] [Abstract][Full Text] [Related]
36. Development and evaluation of a multiplexed mass spectrometry based assay for measuring candidate peptide biomarkers in Alzheimer's Disease Neuroimaging Initiative (ADNI) CSF.
Spellman DS; Wildsmith KR; Honigberg LA; Tuefferd M; Baker D; Raghavan N; Nairn AC; Croteau P; Schirm M; Allard R; Lamontagne J; Chelsky D; Hoffmann S; Potter WZ; ;
Proteomics Clin Appl; 2015 Aug; 9(7-8):715-31. PubMed ID: 25676562
[TBL] [Abstract][Full Text] [Related]
37. Effect of HMGCR genetic variation on neuroimaging biomarkers in healthy, mild cognitive impairment and Alzheimer's disease cohorts.
Cao L; Wang HF; Tan L; Sun FR; Tan MS; Tan CC; Jiang T; Yu JT; Tan L;
Oncotarget; 2016 Mar; 7(12):13319-27. PubMed ID: 26950278
[TBL] [Abstract][Full Text] [Related]
38. Advanced psychometric analysis and the Alzheimer's Disease Neuroimaging Initiative: reports from the 2011 Friday Harbor conference.
Mungas D; Crane PK; Gibbons LE; Manly JJ; Glymour MM; Jones RN
Brain Imaging Behav; 2012 Dec; 6(4):485-8. PubMed ID: 23232798
[TBL] [Abstract][Full Text] [Related]
39. Random Forest Algorithm for the Classification of Neuroimaging Data in Alzheimer's Disease: A Systematic Review.
Sarica A; Cerasa A; Quattrone A
Front Aging Neurosci; 2017; 9():329. PubMed ID: 29056906
[No Abstract] [Full Text] [Related]
40. [Artificial Intelligence for Diagnostic Support of Neuroimage].
Shiino A
Brain Nerve; 2019 Jul; 71(7):733-748. PubMed ID: 31289247
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]