BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

142 related articles for article (PubMed ID: 36002550)

  • 1. Evaluating the performance of Bayesian and frequentist approaches for longitudinal modeling: application to Alzheimer's disease.
    Pérez-Millan A; Contador J; Tudela R; Niñerola-Baizán A; Setoain X; Lladó A; Sánchez-Valle R; Sala-Llonch R
    Sci Rep; 2022 Aug; 12(1):14448. PubMed ID: 36002550
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Longitudinal Neuroimaging Hippocampal Markers for Diagnosing Alzheimer's Disease.
    Platero C; Lin L; Tobar MC
    Neuroinformatics; 2019 Jan; 17(1):43-61. PubMed ID: 29785624
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Comparisons of neurodegeneration over time between healthy ageing and Alzheimer's disease cohorts via Bayesian inference.
    Cespedes MI; Fripp J; McGree JM; Drovandi CC; Mengersen K; Doecke JD
    BMJ Open; 2017 Feb; 7(2):e012174. PubMed ID: 28174220
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. 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]  

  • 6. Predicting Alzheimer's conversion in mild cognitive impairment patients using longitudinal neuroimaging and clinical markers.
    Platero C; Tobar MC;
    Brain Imaging Behav; 2021 Aug; 15(4):1728-1738. PubMed ID: 33169305
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Using high-dimensional machine learning methods to estimate an anatomical risk factor for Alzheimer's disease across imaging databases.
    Casanova R; Barnard RT; Gaussoin SA; Saldana S; Hayden KM; Manson JE; Wallace RB; Rapp SR; Resnick SM; Espeland MA; Chen JC;
    Neuroimage; 2018 Dec; 183():401-411. PubMed ID: 30130645
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Differential diagnosis of mild cognitive impairment and Alzheimer's disease using structural MRI cortical thickness, hippocampal shape, hippocampal texture, and volumetry.
    Sørensen L; Igel C; Pai A; Balas I; Anker C; Lillholm M; Nielsen M;
    Neuroimage Clin; 2017; 13():470-482. PubMed ID: 28119818
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Influence of plasma matrix metalloproteinase levels on longitudinal changes in Alzheimer's disease (AD) biomarkers and cognitive function in patients with mild cognitive impairment due to AD registered in the Alzheimer's Disease Neuroimaging Initiative database.
    Abe K; Chiba Y; Hattori S; Yoshimi A; Asami T; Katsuse O; Suda A; Hishimoto A;
    J Neurol Sci; 2020 Sep; 416():116989. PubMed ID: 32603972
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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; 375():109582. PubMed ID: 35346696
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Effect of Education on Alzheimer's Disease-Related Neuroimaging Biomarkers in Healthy Controls, and Participants with Mild Cognitive Impairment and Alzheimer's Disease: A Cross-Sectional Study.
    Wada M; Noda Y; Shinagawa S; Chung JK; Sawada K; Ogyu K; Tarumi R; Tsugawa S; Miyazaki T; Yamagata B; Graff-Guerrero A; Mimura M; Nakajima S;
    J Alzheimers Dis; 2018; 63(2):861-869. PubMed ID: 29689728
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Lower Serum Calcium as a Potentially Associated Factor for Conversion of Mild Cognitive Impairment to Early Alzheimer's Disease in the Japanese Alzheimer's Disease Neuroimaging Initiative.
    Sato K; Mano T; Ihara R; Suzuki K; Tomita N; Arai H; Ishii K; Senda M; Ito K; Ikeuchi T; Kuwano R; Matsuda H; Iwatsubo T; Toda T; Iwata A;
    J Alzheimers Dis; 2019; 68(2):777-788. PubMed ID: 30814351
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Biomarker Extraction Based on Subspace Learning for the Prediction of Mild Cognitive Impairment Conversion.
    Li Y; Fang Y; Wang J; Zhang H; Hu B
    Biomed Res Int; 2021; 2021():5531940. PubMed ID: 34513992
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Modeling longitudinal imaging biomarkers with parametric Bayesian multi-task learning.
    Aksman LM; Scelsi MA; Marquand AF; Alexander DC; Ourselin S; Altmann A;
    Hum Brain Mapp; 2019 Sep; 40(13):3982-4000. PubMed ID: 31168892
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Automated White Matter Hyperintensity Segmentation Using Bayesian Model Selection: Assessment and Correlations with Cognitive Change.
    Fiford CM; Sudre CH; Pemberton H; Walsh P; Manning E; Malone IB; Nicholas J; Bouvy WH; Carmichael OT; Biessels GJ; Cardoso MJ; Barnes J;
    Neuroinformatics; 2020 Jun; 18(3):429-449. PubMed ID: 32062817
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. The anteroposterior and primary-to-posterior limbic ratios as MRI-derived volumetric markers of Alzheimer's disease.
    Jiménez-Huete A; Estévez-Santé S;
    J Neurol Sci; 2017 Jul; 378():110-119. PubMed ID: 28566144
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Multivariate functional mixed model with MRI data: An application to Alzheimer's disease.
    Zou H; Xiao L; Zeng D; Luo S;
    Stat Med; 2023 May; 42(10):1492-1511. PubMed ID: 36805635
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Estimating anatomical trajectories with Bayesian mixed-effects modeling.
    Ziegler G; Penny WD; Ridgway GR; Ourselin S; Friston KJ;
    Neuroimage; 2015 Nov; 121():51-68. PubMed ID: 26190405
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.