These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
158 related articles for article (PubMed ID: 38341100)
1. Longitudinal MRI analysis using a hybrid DenseNet-BiLSTM method for Alzheimer's disease prediction. Jomeiri A; Navin AH; Shamsi M Behav Brain Res; 2024 Apr; 463():114900. PubMed ID: 38341100 [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. RNN-based longitudinal analysis for diagnosis of Alzheimer's disease. Cui R; Liu M; Comput Med Imaging Graph; 2019 Apr; 73():1-10. PubMed ID: 30763637 [TBL] [Abstract][Full Text] [Related]
5. VGG-TSwinformer: Transformer-based deep learning model for early Alzheimer's disease prediction. Hu Z; Wang Z; Jin Y; Hou W Comput Methods Programs Biomed; 2023 Feb; 229():107291. PubMed ID: 36516516 [TBL] [Abstract][Full Text] [Related]
6. A hybrid Convolutional and Recurrent Neural Network for Hippocampus Analysis in Alzheimer's Disease. Li F; Liu M; J Neurosci Methods; 2019 Jul; 323():108-118. PubMed ID: 31132373 [TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. Using machine learning to quantify structural MRI neurodegeneration patterns of Alzheimer's disease into dementia score: Independent validation on 8,834 images from ADNI, AIBL, OASIS, and MIRIAD databases. Popuri K; Ma D; Wang L; Beg MF Hum Brain Mapp; 2020 Oct; 41(14):4127-4147. PubMed ID: 32614505 [TBL] [Abstract][Full Text] [Related]
11. Latent diffusion model-based MRI superresolution enhances mild cognitive impairment prognostication and Alzheimer's disease classification. Yoon D; Myong Y; Kim YG; Sim Y; Cho M; Oh BM; Kim S Neuroimage; 2024 Aug; 296():120663. PubMed ID: 38843963 [TBL] [Abstract][Full Text] [Related]
12. 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]
13. 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]
14. 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]
15. 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]
16. Predicting the progression of mild cognitive impairment to Alzheimer's disease by longitudinal magnetic resonance imaging-based dictionary learning. Lin Y; Huang K; Xu H; Qiao Z; Cai S; Wang Y; Huang L; Clin Neurophysiol; 2020 Oct; 131(10):2429-2439. PubMed ID: 32829290 [TBL] [Abstract][Full Text] [Related]
17. Prediction of Progressive Mild Cognitive Impairment by Multi-Modal Neuroimaging Biomarkers. Xu L; Wu X; Li R; Chen K; Long Z; Zhang J; Guo X; Yao L; J Alzheimers Dis; 2016; 51(4):1045-56. PubMed ID: 26923024 [TBL] [Abstract][Full Text] [Related]
18. Relationship Induced Multi-Template Learning for Diagnosis of Alzheimer's Disease and Mild Cognitive Impairment. Liu M; Zhang D; Shen D IEEE Trans Med Imaging; 2016 Jun; 35(6):1463-74. PubMed ID: 26742127 [TBL] [Abstract][Full Text] [Related]
19. Deep learning based diagnosis of Alzheimer's disease using FDG-PET images. Kishore N; Goel N Neurosci Lett; 2023 Nov; 817():137530. PubMed ID: 37858874 [TBL] [Abstract][Full Text] [Related]
20. 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] [Next] [New Search]