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Journal Abstract Search

183 related items for PubMed ID: 30349454

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  • 2. 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
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  • 3. Identifying and characterizing different stages toward Alzheimer's disease using ordered core features and machine learning.
    Sheng J, Wang B, Zhang Q, Zhou R, Wang L, Xin Y.
    Heliyon; 2021 Jun; 7(6):e07287. PubMed ID: 34189320
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  • 5. 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 03; 365():210-221. PubMed ID: 30836158
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  • 8. A Gaussian-based model for early detection of mild cognitive impairment using multimodal neuroimaging.
    Forouzannezhad P, Abbaspour A, Li C, Fang C, Williams U, Cabrerizo M, Barreto A, Andrian J, Rishe N, Curiel RE, Loewenstein D, Duara R, Adjouadi M.
    J Neurosci Methods; 2020 Mar 01; 333():108544. PubMed ID: 31838182
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  • 9. The Clinical Course of Early and Late Mild Cognitive Impairment.
    Lin SY, Lin PC, Lin YC, Lee YJ, Wang CY, Peng SW, Wang PN.
    Front Neurol; 2022 Mar 01; 13():685636. PubMed ID: 35651352
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  • 10. 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 18; 44(2):37. PubMed ID: 31853655
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  • 11. Research on Voxel-Based Features Detection and Analysis of Alzheimer's Disease Using Random Survey Support Vector Machine.
    Meng X, Wu Y, Liu W, Wang Y, Xu Z, Jiao Z.
    Front Neuroinform; 2022 Dec 18; 16():856295. PubMed ID: 35418845
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  • 15. Addressing the missing data challenge in multi-modal datasets for the diagnosis of Alzheimer's disease.
    Aghili M, Tabarestani S, Adjouadi M.
    J Neurosci Methods; 2022 Jun 01; 375():109582. PubMed ID: 35346696
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  • 16. 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 10; 11(6):. PubMed ID: 34200832
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  • 17. Self-calibrated brain network estimation and joint non-convex multi-task learning for identification of early Alzheimer's disease.
    Lei B, Cheng N, Frangi AF, Tan EL, Cao J, Yang P, Elazab A, Du J, Xu Y, Wang T.
    Med Image Anal; 2020 Apr 10; 61():101652. PubMed ID: 32059169
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  • 18. A Deep Learning approach for Diagnosis of Mild Cognitive Impairment Based on MRI Images.
    Gorji HT, Kaabouch N.
    Brain Sci; 2019 Aug 28; 9(9):. PubMed ID: 31466398
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  • 19. 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 28; 10(3):799-817. PubMed ID: 26363784
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  • 20. Functional Connectivity between the Resting-State Olfactory Network and the Hippocampus in Alzheimer's Disease.
    Lu J, Testa N, Jordan R, Elyan R, Kanekar S, Wang J, Eslinger P, Yang QX, Zhang B, Karunanayaka PR.
    Brain Sci; 2019 Nov 25; 9(12):. PubMed ID: 31775369
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