337 related articles for article (PubMed ID: 32517304)
1. 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]
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. 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]
4. 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]
5. 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]
6. 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]
7. Multi-Modality Cascaded Convolutional Neural Networks for Alzheimer's Disease Diagnosis.
Liu M; Cheng D; Wang K; Wang Y;
Neuroinformatics; 2018 Oct; 16(3-4):295-308. PubMed ID: 29572601
[TBL] [Abstract][Full Text] [Related]
8. Deep Learning for Brain MRI Segmentation: State of the Art and Future Directions.
Akkus Z; Galimzianova A; Hoogi A; Rubin DL; Erickson BJ
J Digit Imaging; 2017 Aug; 30(4):449-459. PubMed ID: 28577131
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation.
Wen J; Thibeau-Sutre E; Diaz-Melo M; Samper-González J; Routier A; Bottani S; Dormont D; Durrleman S; Burgos N; Colliot O; ;
Med Image Anal; 2020 Jul; 63():101694. PubMed ID: 32417716
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. 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]
13. 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]
14. Ensemble of convolutional neural networks and multilayer perceptron for the diagnosis of mild cognitive impairment and Alzheimer's disease.
Li M; Jiang Y; Li X; Yin S; Luo H
Med Phys; 2023 Jan; 50(1):209-225. PubMed ID: 36121183
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. A 3D densely connected convolution neural network with connection-wise attention mechanism for Alzheimer's disease classification.
Zhang J; Zheng B; Gao A; Feng X; Liang D; Long X
Magn Reson Imaging; 2021 May; 78():119-126. PubMed ID: 33588019
[TBL] [Abstract][Full Text] [Related]
17. Convolution Neural Networks and Self-Attention Learners for Alzheimer Dementia Diagnosis from Brain MRI.
Carcagnì P; Leo M; Del Coco M; Distante C; De Salve A
Sensors (Basel); 2023 Feb; 23(3):. PubMed ID: 36772733
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Joint Classification and Regression via Deep Multi-Task Multi-Channel Learning for Alzheimer's Disease Diagnosis.
Liu M; Zhang J; Adeli E; Shen D
IEEE Trans Biomed Eng; 2019 May; 66(5):1195-1206. PubMed ID: 30222548
[TBL] [Abstract][Full Text] [Related]
20. [Early prognosis of Alzheimer's disease based on convolutional neural networks and ensemble learning].
Zeng A; Jia L; Pan D; Song X
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2019 Oct; 36(5):711-719. PubMed ID: 31631618
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]