167 related articles for article (PubMed ID: 34033550)
1. Classification of Alzheimer's Disease Using Ensemble of Deep Neural Networks Trained Through Transfer Learning.
Tanveer M; Rashid AH; Ganaie MA; Reza M; Razzak I; Hua KL
IEEE J Biomed Health Inform; 2022 Apr; 26(4):1453-1463. PubMed ID: 34033550
[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. 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. 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]
5. Deep transfer learning-based fully automated detection and classification of Alzheimer's disease on brain MRI.
Ghaffari H; Tavakoli H; Pirzad Jahromi G
Br J Radiol; 2022 Aug; 95(1136):20211253. PubMed ID: 35616643
[TBL] [Abstract][Full Text] [Related]
6. 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]
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. Random forest feature selection, fusion and ensemble strategy: Combining multiple morphological MRI measures to discriminate among healhy elderly, MCI, cMCI and alzheimer's disease patients: From the alzheimer's disease neuroimaging initiative (ADNI) database.
Dimitriadis SI; Liparas D; Tsolaki MN;
J Neurosci Methods; 2018 May; 302():14-23. PubMed ID: 29269320
[TBL] [Abstract][Full Text] [Related]
9. Ensemble of random forests One vs. Rest classifiers for MCI and AD prediction using ANOVA cortical and subcortical feature selection and partial least squares.
Ramírez J; Górriz JM; Ortiz A; Martínez-Murcia FJ; Segovia F; Salas-Gonzalez D; Castillo-Barnes D; Illán IA; Puntonet CG;
J Neurosci Methods; 2018 May; 302():47-57. PubMed ID: 29242123
[TBL] [Abstract][Full Text] [Related]
10. Diagnosing Alzheimer's Disease Based on Multiclass MRI Scans using Transfer Learning Techniques.
Prakash D; Madusanka N; Bhattacharjee S; Kim CH; Park HG; Choi HK
Curr Med Imaging; 2021; 17(12):1460-1472. PubMed ID: 33504310
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Monte Carlo Ensemble Neural Network for the diagnosis of Alzheimer's disease.
Liu C; Huang F; Qiu A;
Neural Netw; 2023 Feb; 159():14-24. PubMed ID: 36525914
[TBL] [Abstract][Full Text] [Related]
13. Automated Medical Diagnosis of Alzheimer´s Disease Using an Efficient Net Convolutional Neural Network.
Agarwal D; Berbís MÁ; Luna A; Lipari V; Ballester JB; de la Torre-Díez I
J Med Syst; 2023 May; 47(1):57. PubMed ID: 37129723
[TBL] [Abstract][Full Text] [Related]
14. Multi-model and multi-slice ensemble learning architecture based on 2D convolutional neural networks for Alzheimer's disease diagnosis.
Kang W; Lin L; Zhang B; Shen X; Wu S;
Comput Biol Med; 2021 Sep; 136():104678. PubMed ID: 34329864
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. 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]
17. 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]
18. Hippocampal shape and asymmetry analysis by cascaded convolutional neural networks for Alzheimer's disease diagnosis.
Li A; Li F; Elahifasaee F; Liu M; Zhang L;
Brain Imaging Behav; 2021 Oct; 15(5):2330-2339. PubMed ID: 33398778
[TBL] [Abstract][Full Text] [Related]
19. Diagnosis of Alzheimer's Disease with Ensemble Learning Classifier and 3D Convolutional Neural Network.
Zhang P; Lin S; Qiao J; Tu Y
Sensors (Basel); 2021 Nov; 21(22):. PubMed ID: 34833710
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]