464 related articles for article (PubMed ID: 31481890)
1. Deep Learning in Alzheimer's Disease: Diagnostic Classification and Prognostic Prediction Using Neuroimaging Data.
Jo T; Nho K; Saykin AJ
Front Aging Neurosci; 2019; 11():220. PubMed ID: 31481890
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Automated MRI-Based Deep Learning Model for Detection of Alzheimer's Disease Process.
Feng W; Halm-Lutterodt NV; Tang H; Mecum A; Mesregah MK; Ma Y; Li H; Zhang F; Wu Z; Yao E; Guo X
Int J Neural Syst; 2020 Jun; 30(6):2050032. PubMed ID: 32498641
[TBL] [Abstract][Full Text] [Related]
4. Cross-cohort generalizability of deep and conventional machine learning for MRI-based diagnosis and prediction of Alzheimer's disease.
Bron EE; Klein S; Papma JM; Jiskoot LC; Venkatraghavan V; Linders J; Aalten P; De Deyn PP; Biessels GJ; Claassen JAHR; Middelkoop HAM; Smits M; Niessen WJ; van Swieten JC; van der Flier WM; Ramakers IHGB; van der Lugt A; ;
Neuroimage Clin; 2021; 31():102712. PubMed ID: 34118592
[TBL] [Abstract][Full Text] [Related]
5. Deep learning prediction of mild cognitive impairment conversion to Alzheimer's disease at 3 years after diagnosis using longitudinal and whole-brain 3D MRI.
Ocasio E; Duong TQ
PeerJ Comput Sci; 2021; 7():e560. PubMed ID: 34141888
[TBL] [Abstract][Full Text] [Related]
6. Early Detection of Alzheimer's Disease Using Magnetic Resonance Imaging: A Novel Approach Combining Convolutional Neural Networks and Ensemble Learning.
Pan D; Zeng A; Jia L; Huang Y; Frizzell T; Song X
Front Neurosci; 2020; 14():259. PubMed ID: 32477040
[TBL] [Abstract][Full Text] [Related]
7. Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis.
Suk HI; Lee SW; Shen D;
Neuroimage; 2014 Nov; 101():569-82. PubMed ID: 25042445
[TBL] [Abstract][Full Text] [Related]
8. Machine learning with multimodal neuroimaging data to classify stages of Alzheimer's disease: a systematic review and meta-analysis.
Odusami M; Maskeliūnas R; Damaševičius R; Misra S
Cogn Neurodyn; 2024 Jun; 18(3):775-794. PubMed ID: 38826669
[TBL] [Abstract][Full Text] [Related]
9. Early-Stage Alzheimer's Disease Categorization Using PET Neuroimaging Modality and Convolutional Neural Networks in the 2D and 3D Domains.
Tufail AB; Anwar N; Othman MTB; Ullah I; Khan RA; Ma YK; Adhikari D; Rehman AU; Shafiq M; Hamam H
Sensors (Basel); 2022 Jun; 22(12):. PubMed ID: 35746389
[TBL] [Abstract][Full Text] [Related]
10. Conventional machine learning and deep learning in Alzheimer's disease diagnosis using neuroimaging: A review.
Zhao Z; Chuah JH; Lai KW; Chow CO; Gochoo M; Dhanalakshmi S; Wang N; Bao W; Wu X
Front Comput Neurosci; 2023; 17():1038636. PubMed ID: 36814932
[TBL] [Abstract][Full Text] [Related]
11. Multimodal Neuroimaging Feature Learning With Multimodal Stacked Deep Polynomial Networks for Diagnosis of Alzheimer's Disease.
Shi J; Zheng X; Li Y; Zhang Q; Ying S
IEEE J Biomed Health Inform; 2018 Jan; 22(1):173-183. PubMed ID: 28113353
[TBL] [Abstract][Full Text] [Related]
12. Transfer Learning for Alzheimer's Disease through Neuroimaging Biomarkers: A Systematic Review.
Agarwal D; Marques G; de la Torre-Díez I; Franco Martin MA; García Zapiraín B; Martín Rodríguez F
Sensors (Basel); 2021 Oct; 21(21):. PubMed ID: 34770565
[TBL] [Abstract][Full Text] [Related]
13. Alzheimer's disease diagnosis framework from incomplete multimodal data using convolutional neural networks.
Abdelaziz M; Wang T; Elazab A
J Biomed Inform; 2021 Sep; 121():103863. PubMed ID: 34229061
[TBL] [Abstract][Full Text] [Related]
14. Deep learning to detect Alzheimer's disease from neuroimaging: A systematic literature review.
Ebrahimighahnavieh MA; Luo S; Chiong R
Comput Methods Programs Biomed; 2020 Apr; 187():105242. PubMed ID: 31837630
[TBL] [Abstract][Full Text] [Related]
15. A Single Model Deep Learning Approach for Alzheimer's Disease Diagnosis.
Zhang F; Pan B; Shao P; Liu P; ; ; Shen S; Yao P; Xu RX
Neuroscience; 2022 May; 491():200-214. PubMed ID: 35398507
[TBL] [Abstract][Full Text] [Related]
16. Alzheimer's Disease Classification Through Imaging Genetic Data With IGnet.
Wang JX; Li Y; Li X; Lu ZH
Front Neurosci; 2022; 16():846638. PubMed ID: 35310099
[TBL] [Abstract][Full Text] [Related]
17. Deep residual learning for neuroimaging: An application to predict progression to Alzheimer's disease.
Abrol A; Bhattarai M; Fedorov A; Du Y; Plis S; Calhoun V;
J Neurosci Methods; 2020 Jun; 339():108701. PubMed ID: 32275915
[TBL] [Abstract][Full Text] [Related]
18. Alzheimer's disease diagnosis via multimodal feature fusion.
Tu Y; Lin S; Qiao J; Zhuang Y; Zhang P
Comput Biol Med; 2022 Sep; 148():105901. PubMed ID: 35908497
[TBL] [Abstract][Full Text] [Related]
19. An Exploration: Alzheimer's Disease Classification Based on Convolutional Neural Network.
Sethi M; Ahuja S; Rani S; Koundal D; Zaguia A; Enbeyle W
Biomed Res Int; 2022; 2022():8739960. PubMed ID: 35103240
[TBL] [Abstract][Full Text] [Related]
20. Multi-modality sparse representation-based classification for Alzheimer's disease and mild cognitive impairment.
Xu L; Wu X; Chen K; Yao L
Comput Methods Programs Biomed; 2015 Nov; 122(2):182-90. PubMed ID: 26298855
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]