1304 related articles for article (PubMed ID: 32952988)
1. Classification of Alzheimer's Disease and Mild Cognitive Impairment Based on Cortical and Subcortical Features from MRI T1 Brain Images Utilizing Four Different Types of Datasets.
Toshkhujaev S; Lee KH; Choi KY; Lee JJ; Kwon GR; Gupta Y; Lama RK
J Healthc Eng; 2020; 2020():3743171. PubMed ID: 32952988
[TBL] [Abstract][Full Text] [Related]
2. Alzheimer's Disease Diagnosis Based on Cortical and Subcortical Features.
Gupta Y; Lee KH; Choi KY; Lee JJ; Kim BC; Kwon GR
J Healthc Eng; 2019; 2019():2492719. PubMed ID: 30944718
[TBL] [Abstract][Full Text] [Related]
3. Early diagnosis of Alzheimer's disease using combined features from voxel-based morphometry and cortical, subcortical, and hippocampus regions of MRI T1 brain images.
Gupta Y; Lee KH; Choi KY; Lee JJ; Kim BC; Kwon GR; ;
PLoS One; 2019; 14(10):e0222446. PubMed ID: 31584953
[TBL] [Abstract][Full Text] [Related]
4. A novel joint HCPMMP method for automatically classifying Alzheimer's and different stage MCI patients.
Sheng J; Wang B; Zhang Q; Liu Q; Ma Y; Liu W; Shao M; Chen B
Behav Brain Res; 2019 Jun; 365():210-221. PubMed ID: 30836158
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Automated atrophy assessment for Alzheimer's disease diagnosis from brain MRI images.
Shaikh TA; Ali R
Magn Reson Imaging; 2019 Oct; 62():167-173. PubMed ID: 31279772
[TBL] [Abstract][Full Text] [Related]
7. Analysis of structural brain MRI and multi-parameter classification for Alzheimer's disease.
Zhang Y; Liu S
Biomed Tech (Berl); 2018 Jul; 63(4):427-437. PubMed ID: 28622141
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Cortical graph neural network for AD and MCI diagnosis and transfer learning across populations.
Wee CY; Liu C; Lee A; Poh JS; Ji H; Qiu A;
Neuroimage Clin; 2019; 23():101929. PubMed ID: 31491832
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. 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]
12. Diagnosis and prognosis of Alzheimer's disease using brain morphometry and white matter connectomes.
Wang Y; Xu C; Park JH; Lee S; Stern Y; Yoo S; Kim JH; Kim HS; Cha J;
Neuroimage Clin; 2019; 23():101859. PubMed ID: 31150957
[TBL] [Abstract][Full Text] [Related]
13. A Classification Algorithm by Combination of Feature Decomposition and Kernel Discriminant Analysis (KDA) for Automatic MR Brain Image Classification and AD Diagnosis.
Elahifasaee F; Li F; Yang M
Comput Math Methods Med; 2019; 2019():1437123. PubMed ID: 32082407
[TBL] [Abstract][Full Text] [Related]
14. Selecting the most relevant brain regions to discriminate Alzheimer's disease patients from healthy controls using multiple kernel learning: A comparison across functional and structural imaging modalities and atlases.
Rondina JM; Ferreira LK; de Souza Duran FL; Kubo R; Ono CR; Leite CC; Smid J; Nitrini R; Buchpiguel CA; Busatto GF
Neuroimage Clin; 2018; 17():628-641. PubMed ID: 29234599
[TBL] [Abstract][Full Text] [Related]
15. Ensemble based on static classifier selection for automated diagnosis of Mild Cognitive Impairment.
Nanni L; Lumini A; Zaffonato N
J Neurosci Methods; 2018 May; 302():42-46. PubMed ID: 29104000
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Discriminative Sparse Features for Alzheimer's Disease Diagnosis Using Multimodal Image Data.
Ortiz A; Lozano F; Gorriz JM; Ramirez J; Martinez Murcia FJ;
Curr Alzheimer Res; 2018; 15(1):67-79. PubMed ID: 28934923
[TBL] [Abstract][Full Text] [Related]
18. A novel method and software for automatically classifying Alzheimer's disease patients by magnetic resonance imaging analysis.
Previtali F; Bertolazzi P; Felici G; Weitschek E
Comput Methods Programs Biomed; 2017 May; 143():89-95. PubMed ID: 28391822
[TBL] [Abstract][Full Text] [Related]
19. A Transfer Learning Approach for Early Diagnosis of Alzheimer's Disease on MRI Images.
Mehmood A; Yang S; Feng Z; Wang M; Ahmad AS; Khan R; Maqsood M; Yaqub M
Neuroscience; 2021 Apr; 460():43-52. PubMed ID: 33465405
[TBL] [Abstract][Full Text] [Related]
20. Label-aligned multi-task feature learning for multimodal classification of Alzheimer's disease and mild cognitive impairment.
Zu C; Jie B; Liu M; Chen S; Shen D; Zhang D;
Brain Imaging Behav; 2016 Dec; 10(4):1148-1159. PubMed ID: 26572145
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
