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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

382 related articles for article (PubMed ID: 34360676)

  • 1. Deep Learning with Neuroimaging and Genomics in Alzheimer's Disease.
    Lin E; Lin CH; Lane HY
    Int J Mol Sci; 2021 Jul; 22(15):. PubMed ID: 34360676
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Machine Learning and Deep Learning for the Pharmacogenomics of Antidepressant Treatments.
    Lin E; Lin CH; Lane HY
    Clin Psychopharmacol Neurosci; 2021 Nov; 19(4):577-588. PubMed ID: 34690113
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. 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]  

  • 5. c-Diadem: a constrained dual-input deep learning model to identify novel biomarkers in Alzheimer's disease.
    Jemimah S; AlShehhi A;
    BMC Med Genomics; 2023 Oct; 16(Suppl 2):244. PubMed ID: 37833700
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A comprehensive characterization of hippocampal feature ensemble serves as individualized brain signature for Alzheimer's disease: deep learning analysis in 3238 participants worldwide.
    Zhang Y; Li H; Zheng Q
    Eur Radiol; 2023 Aug; 33(8):5385-5397. PubMed ID: 36892643
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Deep Learning for Alzheimer's Disease Classification using Texture Features.
    So JH; Madusanka N; Choi HK; Choi BK; Park HG
    Curr Med Imaging Rev; 2019; 15(7):689-698. PubMed ID: 32008517
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. 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]  

  • 10. Use of Deep-Learning Genomics to Discriminate Healthy Individuals from Those with Alzheimer's Disease or Mild Cognitive Impairment.
    Li L; Yang Y; Zhang Q; Wang J; Jiang J; Neuroimaging Initiative AD
    Behav Neurol; 2021; 2021():3359103. PubMed ID: 34336000
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Disentangling Accelerated Cognitive Decline from the Normal Aging Process and Unraveling Its Genetic Components: A Neuroimaging-Based Deep Learning Approach.
    Dai Y; Hsu YC; Fernandes BS; Zhang K; Li X; Enduru N; Liu A; Manuel AM; Jiang X; Zhao Z;
    J Alzheimers Dis; 2024; 97(4):1807-1827. PubMed ID: 38306043
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Deep Learning in Alzheimer's Disease: Diagnostic Classification and Prognostic Prediction Using Neuroimaging Data.
    Jo T; Nho K; Saykin AJ
    Front Aging Neurosci; 2019; 11():220. PubMed ID: 31481890
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Neuroimaging and machine learning for studying the pathways from mild cognitive impairment to alzheimer's disease: a systematic review.
    Ahmadzadeh M; Christie GJ; Cosco TD; Arab A; Mansouri M; Wagner KR; DiPaola S; Moreno S
    BMC Neurol; 2023 Aug; 23(1):309. PubMed ID: 37608251
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A review on omics-based biomarkers discovery for Alzheimer's disease from the bioinformatics perspectives: Statistical approach vs machine learning approach.
    Tan MS; Cheah PL; Chin AV; Looi LM; Chang SW
    Comput Biol Med; 2021 Dec; 139():104947. PubMed ID: 34678481
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Advancements in computer-assisted diagnosis of Alzheimer's disease: A comprehensive survey of neuroimaging methods and AI techniques for early detection.
    Shanmugavadivel K; Sathishkumar VE; Cho J; Subramanian M
    Ageing Res Rev; 2023 Nov; 91():102072. PubMed ID: 37709055
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. An unsupervised learning approach to diagnosing Alzheimer's disease using brain magnetic resonance imaging scans.
    Liu Y; Mazumdar S; Bath PA;
    Int J Med Inform; 2023 May; 173():105027. PubMed ID: 36921480
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A review of brain imaging biomarker genomics in Alzheimer's disease: implementation and perspectives.
    Li L; Yu X; Sheng C; Jiang X; Zhang Q; Han Y; Jiang J
    Transl Neurodegener; 2022 Sep; 11(1):42. PubMed ID: 36109823
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Deep Ensemble learning and quantum machine learning approach for Alzheimer's disease detection.
    Jenber Belay A; Walle YM; Haile MB
    Sci Rep; 2024 Jun; 14(1):14196. PubMed ID: 38902368
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 20.