BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

118 related articles for article (PubMed ID: 35364417)

  • 1. Predicting progression of Alzheimer's disease using forward-to-backward bi-directional network with integrative imputation.
    Ho NH; Yang HJ; Kim J; Dao DP; Park HR; Pant S
    Neural Netw; 2022 Jun; 150():422-439. PubMed ID: 35364417
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Training recurrent neural networks robust to incomplete data: Application to Alzheimer's disease progression modeling.
    Mehdipour Ghazi M; Nielsen M; Pai A; Cardoso MJ; Modat M; Ourselin S; Sørensen L;
    Med Image Anal; 2019 Apr; 53():39-46. PubMed ID: 30682584
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Deep recurrent model for individualized prediction of Alzheimer's disease progression.
    Jung W; Jun E; Suk HI;
    Neuroimage; 2021 Aug; 237():118143. PubMed ID: 33991694
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Rethinking modeling Alzheimer's disease progression from a multi-task learning perspective with deep recurrent neural network.
    Liang W; Zhang K; Cao P; Liu X; Yang J; Zaiane O
    Comput Biol Med; 2021 Nov; 138():104935. PubMed ID: 34656869
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Predicting Alzheimer's disease progression using deep recurrent neural networks.
    Nguyen M; He T; An L; Alexander DC; Feng J; Yeo BTT;
    Neuroimage; 2020 Nov; 222():117203. PubMed ID: 32763427
    [TBL] [Abstract][Full Text] [Related]  

  • 6. TADPOLE Challenge: Accurate Alzheimer's disease prediction through crowdsourced forecasting of future data.
    Marinescu RV; Oxtoby NP; Young AL; Bron EE; Toga AW; Weiner MW; Barkhof F; Fox NC; Golland P; Klein S; Alexander DC
    Predict Intell Med; 2019 Oct; 11843():1-10. PubMed ID: 32587957
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Water quality assessment of a river using deep learning Bi-LSTM methodology: forecasting and validation.
    Khullar S; Singh N
    Environ Sci Pollut Res Int; 2022 Feb; 29(9):12875-12889. PubMed ID: 33988840
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Time series forecasting of new cases and new deaths rate for COVID-19 using deep learning methods.
    Ayoobi N; Sharifrazi D; Alizadehsani R; Shoeibi A; Gorriz JM; Moosaei H; Khosravi A; Nahavandi S; Gholamzadeh Chofreh A; Goni FA; Klemeš JJ; Mosavi A
    Results Phys; 2021 Aug; 27():104495. PubMed ID: 34221854
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Multi-task longitudinal forecasting with missing values on Alzheimer's disease.
    Sevilla-Salcedo C; Imani V; M Olmos P; Gómez-Verdejo V; Tohka J;
    Comput Methods Programs Biomed; 2022 Nov; 226():107056. PubMed ID: 36191353
    [TBL] [Abstract][Full Text] [Related]  

  • 11. MC-RVAE: Multi-channel recurrent variational autoencoder for multimodal Alzheimer's disease progression modelling.
    Martí-Juan G; Lorenzi M; Piella G;
    Neuroimage; 2023 Mar; 268():119892. PubMed ID: 36682509
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Concurrent Imputation and Prediction on EHR data using Bi-Directional GANs: Bi-GANs for EHR imputation and prediction.
    Gupta M; Bunnell HT; Phan TT; Beheshti R
    ACM BCB; 2021 Aug; 2021():. PubMed ID: 34604866
    [TBL] [Abstract][Full Text] [Related]  

  • 13. ReMiND: Recovery of Missing Neuroimaging using Diffusion Models with Application to Alzheimer's Disease.
    Yuan C; Duan J; Tustison NJ; Xu K; Hubbard RA; Linn KA
    medRxiv; 2023 Aug; ():. PubMed ID: 37662259
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. A Long Short-Term Memory Biomarker-Based Prediction Framework for Alzheimer's Disease.
    Aqeel A; Hassan A; Khan MA; Rehman S; Tariq U; Kadry S; Majumdar A; Thinnukool O
    Sensors (Basel); 2022 Feb; 22(4):. PubMed ID: 35214375
    [TBL] [Abstract][Full Text] [Related]  

  • 16. ContrAttNet: Contribution and attention approach to multivariate time-series data imputation.
    Yin Y; Huang C; Bao X
    Network; 2024 Jun; ():1-24. PubMed ID: 38828665
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Interpreting Biomarker Results in Individual Patients With Mild Cognitive Impairment in the Alzheimer's Biomarkers in Daily Practice (ABIDE) Project.
    van Maurik IS; Zwan MD; Tijms BM; Bouwman FH; Teunissen CE; Scheltens P; Wattjes MP; Barkhof F; Berkhof J; van der Flier WM;
    JAMA Neurol; 2017 Dec; 74(12):1481-1491. PubMed ID: 29049480
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A six-month longitudinal evaluation significantly improves accuracy of predicting incipient Alzheimer's disease in mild cognitive impairment.
    Mubeen AM; Asaei A; Bachman AH; Sidtis JJ; Ardekani BA;
    J Neuroradiol; 2017 Oct; 44(6):381-387. PubMed ID: 28676345
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Artificial Intelligence based accurately load forecasting system to forecast short and medium-term load demands.
    Butt FM; Hussain L; Mahmood A; Lone KJ
    Math Biosci Eng; 2020 Dec; 18(1):400-425. PubMed ID: 33525099
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.