302 related articles for article (PubMed ID: 36257926)
1. Functional magnetic resonance imaging, deep learning, and Alzheimer's disease: A systematic review.
Warren SL; Moustafa AA
J Neuroimaging; 2023 Jan; 33(1):5-18. PubMed ID: 36257926
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. Deep learning based pipelines for Alzheimer's disease diagnosis: A comparative study and a novel deep-ensemble method.
Loddo A; Buttau S; Di Ruberto C
Comput Biol Med; 2022 Feb; 141():105032. PubMed ID: 34838263
[TBL] [Abstract][Full Text] [Related]
5. Zoom-In Neural Network Deep-Learning Model for Alzheimer's Disease Assessments.
Wang B; Lim JS
Sensors (Basel); 2022 Nov; 22(22):. PubMed ID: 36433486
[TBL] [Abstract][Full Text] [Related]
6. Brain network connectivity feature extraction using deep learning for Alzheimer's disease classification.
Hu Y; Wen C; Cao G; Wang J; Feng Y
Neurosci Lett; 2022 Jun; 782():136673. PubMed ID: 35513242
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. 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]
9. 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]
10. Automatic Detection of Alzheimer's Disease using Deep Learning Models and Neuro-Imaging: Current Trends and Future Perspectives.
Illakiya T; Karthik R
Neuroinformatics; 2023 Apr; 21(2):339-364. PubMed ID: 36884142
[TBL] [Abstract][Full Text] [Related]
11. MRI Segmentation and Classification of Human Brain Using Deep Learning for Diagnosis of Alzheimer's Disease: A Survey.
Yamanakkanavar N; Choi JY; Lee B
Sensors (Basel); 2020 Jun; 20(11):. PubMed ID: 32517304
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. 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]
14. A Novel Deep Learning Approach with a 3D Convolutional Ladder Network for Differential Diagnosis of Idiopathic Normal Pressure Hydrocephalus and Alzheimer's Disease.
Irie R; Otsuka Y; Hagiwara A; Kamagata K; Kamiya K; Suzuki M; Wada A; Maekawa T; Fujita S; Kato S; Nakajima M; Miyajima M; Motoi Y; Abe O; Aoki S
Magn Reson Med Sci; 2020 Dec; 19(4):351-358. PubMed ID: 31969525
[TBL] [Abstract][Full Text] [Related]
15. Alzheimer's diagnosis using deep learning in segmenting and classifying 3D brain MR images.
Tuan TA; Pham TB; Kim JY; Tavares JMRS
Int J Neurosci; 2022 Jul; 132(7):689-698. PubMed ID: 33045895
[TBL] [Abstract][Full Text] [Related]
16. Development of a deep learning network for Alzheimer's disease classification with evaluation of imaging modality and longitudinal data.
Deatsch A; Perovnik M; Namías M; Trošt M; Jeraj R
Phys Med Biol; 2022 Sep; 67(19):. PubMed ID: 36055243
[No Abstract] [Full Text] [Related]
17. 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]
18. Identifying patients with Alzheimer's disease using resting-state fMRI and graph theory.
Khazaee A; Ebrahimzadeh A; Babajani-Feremi A
Clin Neurophysiol; 2015 Nov; 126(11):2132-41. PubMed ID: 25907414
[TBL] [Abstract][Full Text] [Related]
19. Artificial Intelligence Model for Alzheimer's Disease Detection with Convolution Neural Network for Magnetic Resonance Images.
Ziyad SR; Alharbi M; Altulyan M
J Alzheimers Dis; 2023; 93(1):235-245. PubMed ID: 36970908
[TBL] [Abstract][Full Text] [Related]
20. Assistive tools for classifying neurological disorders using fMRI and deep learning: A guide and example.
Warren SL; Khan DM; Moustafa AA
Brain Behav; 2024 Jun; 14(6):e3554. PubMed ID: 38841732
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
