178 related articles for article (PubMed ID: 35561640)
1. Detection of Alzheimer's disease using features of brain region-of-interest-based individual network constructed with the sMRI image.
Feng J; Zhang SW; Chen L; Zuo C;
Comput Med Imaging Graph; 2022 Jun; 98():102057. PubMed ID: 35561640
[TBL] [Abstract][Full Text] [Related]
2. Extracting ROI-Based Contourlet Subband Energy Feature From the sMRI Image for Alzheimer's Disease Classification.
Feng J; Zhang SW; Chen L
IEEE/ACM Trans Comput Biol Bioinform; 2022; 19(3):1627-1639. PubMed ID: 33434134
[TBL] [Abstract][Full Text] [Related]
3. Identification of Alzheimer's disease based on wavelet transformation energy feature of the structural MRI image and NN classifier.
Feng J; Zhang SW; Chen L;
Artif Intell Med; 2020 Aug; 108():101940. PubMed ID: 32972667
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Improving Alzheimer's Disease Classification by Combining Multiple Measures.
Liu J; Wang J; Tang Z; Hu B; Wu FX; Pan Y
IEEE/ACM Trans Comput Biol Bioinform; 2018; 15(5):1649-1659. PubMed ID: 28749356
[TBL] [Abstract][Full Text] [Related]
6. [Alzheimer's disease classification based on nonlinear high-order features and hypergraph convolutional neural network].
Zeng A; Luo B; Pan D; Rong H; Cao J; Zhang X; Lin J; Yang Y; Liu J
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2023 Oct; 40(5):852-858. PubMed ID: 37879913
[TBL] [Abstract][Full Text] [Related]
7. Classification of Alzheimer's Disease Using Whole Brain Hierarchical Network.
Liu J; Li M; Lan W; Wu FX; Pan Y; Wang J
IEEE/ACM Trans Comput Biol Bioinform; 2018; 15(2):624-632. PubMed ID: 28114031
[TBL] [Abstract][Full Text] [Related]
8. Region-of-Interest based sparse feature learning method for Alzheimer's disease identification.
Wang L; Liu Y; Zeng X; Cheng H; Wang Z; Wang Q
Comput Methods Programs Biomed; 2020 Apr; 187():105290. PubMed ID: 31927305
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Brain signatures based on structural MRI: Classification for MCI, PMCI, and AD.
Gonuguntla V; Yang E; Guan Y; Koo BB; Kim JH
Hum Brain Mapp; 2022 Jun; 43(9):2845-2860. PubMed ID: 35289025
[TBL] [Abstract][Full Text] [Related]
11. Graph Transformer Geometric Learning of Brain Networks Using Multimodal MR Images for Brain Age Estimation.
Cai H; Gao Y; Liu M
IEEE Trans Med Imaging; 2023 Feb; 42(2):456-466. PubMed ID: 36374874
[TBL] [Abstract][Full Text] [Related]
12. Structural MRI-based detection of Alzheimer's disease using feature ranking and classification error.
Beheshti I; Demirel H; Farokhian F; Yang C; Matsuda H;
Comput Methods Programs Biomed; 2016 Dec; 137():177-193. PubMed ID: 28110723
[TBL] [Abstract][Full Text] [Related]
13. Alzheimer's Disease Computer-Aided Diagnosis: Histogram-Based Analysis of Regional MRI Volumes for Feature Selection and Classification.
Ruiz E; Ramírez J; Górriz JM; Casillas J;
J Alzheimers Dis; 2018; 65(3):819-842. PubMed ID: 29966190
[TBL] [Abstract][Full Text] [Related]
14. A Stacking Framework for Multi-Classification of Alzheimer's Disease Using Neuroimaging and Clinical Features.
Chen D; Yi F; Qin Y; Zhang J; Ge X; Han H; Cui J; Bai W; Wu Y; Yu H;
J Alzheimers Dis; 2022; 87(4):1627-1636. PubMed ID: 35491782
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Diagnosis of early Alzheimer's disease based on dynamic high order networks.
Lei B; Yu S; Zhao X; Frangi AF; Tan EL; Elazab A; Wang T; Wang S
Brain Imaging Behav; 2021 Feb; 15(1):276-287. PubMed ID: 32789620
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Estimating high-order brain functional networks by correlation-preserving embedding.
Su H; Zhang L; Qiao L; Liu M
Med Biol Eng Comput; 2022 Oct; 60(10):2813-2823. PubMed ID: 35869385
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. A Hybrid Multi-Scale Attention Convolution and Aging Transformer Network for Alzheimer's Disease Diagnosis.
Gao X; Cai H; Liu M
IEEE J Biomed Health Inform; 2023 Jul; 27(7):3292-3301. PubMed ID: 37104100
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
