1927 related articles for article (PubMed ID: 31853655)
1. A Deep Learning Approach for Automated Diagnosis and Multi-Class Classification of Alzheimer's Disease Stages Using Resting-State fMRI and Residual Neural Networks.
Ramzan F; Khan MUG; Rehmat A; Iqbal S; Saba T; Rehman A; Mehmood Z
J Med Syst; 2019 Dec; 44(2):37. PubMed ID: 31853655
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Application of advanced machine learning methods on resting-state fMRI network for identification of mild cognitive impairment and Alzheimer's disease.
Khazaee A; Ebrahimzadeh A; Babajani-Feremi A
Brain Imaging Behav; 2016 Sep; 10(3):799-817. PubMed ID: 26363784
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. 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]
6. A multi-model deep convolutional neural network for automatic hippocampus segmentation and classification in Alzheimer's disease.
Liu M; Li F; Yan H; Wang K; Ma Y; ; Shen L; Xu M
Neuroimage; 2020 Mar; 208():116459. PubMed ID: 31837471
[TBL] [Abstract][Full Text] [Related]
7. Performance Evaluation of Deep, Shallow and Ensemble Machine Learning Methods for the Automated Classification of Alzheimer's Disease.
Shaffi N; Subramanian K; Vimbi V; Hajamohideen F; Abdesselam A; Mahmud M
Int J Neural Syst; 2024 Jul; 34(7):2450029. PubMed ID: 38576308
[TBL] [Abstract][Full Text] [Related]
8. Fused Sparse Network Learning for Longitudinal Analysis of Mild Cognitive Impairment.
Yang P; Zhou F; Ni D; Xu Y; Chen S; Wang T; Lei B
IEEE Trans Cybern; 2021 Jan; 51(1):233-246. PubMed ID: 31567112
[TBL] [Abstract][Full Text] [Related]
9. 3D-Deep Learning Based Automatic Diagnosis of Alzheimer's Disease with Joint MMSE Prediction Using Resting-State fMRI.
Duc NT; Ryu S; Qureshi MNI; Choi M; Lee KH; Lee B
Neuroinformatics; 2020 Jan; 18(1):71-86. PubMed ID: 31093956
[TBL] [Abstract][Full Text] [Related]
10. Alzheimer's disease diagnosis based on multiple cluster dense convolutional networks.
Li F; Liu M;
Comput Med Imaging Graph; 2018 Dec; 70():101-110. PubMed ID: 30340094
[TBL] [Abstract][Full Text] [Related]
11. Pre-trained MRI-based Alzheimer's disease classification models to classify memory clinic patients.
de Vos F; Schouten TM; Koini M; Bouts MJRJ; Feis RA; Lechner A; Schmidt R; van Buchem MA; Verhey FRJ; Olde Rikkert MGM; Scheltens P; de Rooij M; van der Grond J; Rombouts SARB
Neuroimage Clin; 2020; 27():102303. PubMed ID: 32554321
[TBL] [Abstract][Full Text] [Related]
12. Temporal and Spatial Analysis of Alzheimer's Disease Based on an Improved Convolutional Neural Network and a Resting-State FMRI Brain Functional Network.
Sun H; Wang A; He S
Int J Environ Res Public Health; 2022 Apr; 19(8):. PubMed ID: 35457373
[TBL] [Abstract][Full Text] [Related]
13. Data-Limited Deep Learning Methods for Mild Cognitive Impairment Classification in Alzheimer's Disease Patients.
De Luna A; Marcia RF
Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():2641-2646. PubMed ID: 34891795
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. 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]
16. A survey on applications and analysis methods of functional magnetic resonance imaging for Alzheimer's disease.
Forouzannezhad P; Abbaspour A; Fang C; Cabrerizo M; Loewenstein D; Duara R; Adjouadi M
J Neurosci Methods; 2019 Apr; 317():121-140. PubMed ID: 30593787
[TBL] [Abstract][Full Text] [Related]
17. Analysis of Features of Alzheimer's Disease: Detection of Early Stage from Functional Brain Changes in Magnetic Resonance Images Using a Finetuned ResNet18 Network.
Odusami M; Maskeliūnas R; Damaševičius R; Krilavičius T
Diagnostics (Basel); 2021 Jun; 11(6):. PubMed ID: 34200832
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Ensembles of Deep Learning Architectures for the Early Diagnosis of the Alzheimer's Disease.
Ortiz A; Munilla J; Górriz JM; Ramírez J
Int J Neural Syst; 2016 Nov; 26(7):1650025. PubMed ID: 27478060
[TBL] [Abstract][Full Text] [Related]
20. Multi-label classification of Alzheimer's disease stages from resting-state fMRI-based correlation connectivity data and deep learning.
Alorf A; Khan MUG
Comput Biol Med; 2022 Dec; 151(Pt A):106240. PubMed ID: 36423532
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
