BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

125 related articles for article (PubMed ID: 37339045)

  • 1. Using Bayesian Neural Networks to Select Features and Compute Credible Intervals for Personalized Survival Prediction.
    Qi SA; Kumar N; Verma R; Xu JY; Shen-Tu G; Greiner R
    IEEE Trans Biomed Eng; 2023 Dec; 70(12):3389-3400. PubMed ID: 37339045
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Bayesian parametric models for survival prediction in medical applications.
    Paolucci I; Lin YM; Albuquerque Marques Silva J; Brock KK; Odisio BC
    BMC Med Res Methodol; 2023 Oct; 23(1):250. PubMed ID: 37884857
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Real-time estimation and forecasting of COVID-19 cases and hospitalizations in Wisconsin HERC regions for public health decision making processes.
    Aravamuthan S; Mandujano Reyes JF; Yandell BS; Döpfer D
    BMC Public Health; 2023 Feb; 23(1):359. PubMed ID: 36803324
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Unified Bayesian network for uncertainty quantification of physiological parameters in dynamic contrast enhanced (DCE) MRI of the liver.
    Dejene EM; Brenner W; Makowski MR; Kolbitsch C
    Phys Med Biol; 2023 Nov; 68(21):. PubMed ID: 37820640
    [No Abstract]   [Full Text] [Related]  

  • 5. Leveraging voxel-wise segmentation uncertainty to improve reliability in assessment of paediatric dysplasia of the hip.
    Kannan A; Hodgson A; Mulpuri K; Garbi R
    Int J Comput Assist Radiol Surg; 2021 Jul; 16(7):1121-1129. PubMed ID: 33966168
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Uncertainty Estimation Using Variational Mixture of Gaussians Capsule Network for Health Image Classification.
    Mensah PK; Ayidzoe MA; Opoku AA; Adu K; Weyori BA; Nti IK; Nimbe P
    Comput Intell Neurosci; 2022; 2022():4984490. PubMed ID: 36210972
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Information Aware max-norm Dirichlet networks for predictive uncertainty estimation.
    Tsiligkaridis T
    Neural Netw; 2021 Mar; 135():105-114. PubMed ID: 33383525
    [TBL] [Abstract][Full Text] [Related]  

  • 8. EpICC: A Bayesian neural network model with uncertainty correction for a more accurate classification of cancer.
    Joshi P; Dhar R
    Sci Rep; 2022 Aug; 12(1):14628. PubMed ID: 36028643
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Coherent Blending of Biophysics-Based Knowledge with Bayesian Neural Networks for Robust Protein Property Prediction.
    Nisonoff H; Wang Y; Listgarten J
    ACS Synth Biol; 2023 Nov; 12(11):3242-3251. PubMed ID: 37888887
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Understanding and interpreting confidence and credible intervals around effect estimates.
    Hespanhol L; Vallio CS; Costa LM; Saragiotto BT
    Braz J Phys Ther; 2019; 23(4):290-301. PubMed ID: 30638956
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Local augmented graph neural network for multi-omics cancer prognosis prediction and analysis.
    Zhang Y; Xiong S; Wang Z; Liu Y; Luo H; Li B; Zou Q
    Methods; 2023 May; 213():1-9. PubMed ID: 36933628
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Integrating Dropout and Kullback-Leibler Regularization in Bayesian Neural Networks for improved uncertainty estimation in Regression.
    Devadas RM; Hiremani V
    MethodsX; 2024 Jun; 12():102659. PubMed ID: 38550761
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Bayesian Uncertainty Modeling for P300-Based Brain-Computer Interface.
    Ma R; Zhang H; Zhang J; Zhong X; Yu Z; Li Y; Yu T; Gu Z
    IEEE Trans Neural Syst Rehabil Eng; 2023; 31():2789-2799. PubMed ID: 37318970
    [TBL] [Abstract][Full Text] [Related]  

  • 14. The Importance of Accounting for Parameter Uncertainty in SF-6D Value Sets and Its Impact on Studies that Use the SF-6D to Measure Health Utility.
    Kharroubi SA; Beyh Y; Abdul Fattah E; Young T
    Int J Environ Res Public Health; 2020 Jun; 17(11):. PubMed ID: 32498412
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Prediction of anxiety disorders using a feature ensemble based bayesian neural network.
    Xiong H; Berkovsky S; Romano M; Sharan RV; Liu S; Coiera E; McLellan LF
    J Biomed Inform; 2021 Nov; 123():103921. PubMed ID: 34628061
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Integrating uncertainty in deep neural networks for MRI based stroke analysis.
    Herzog L; Murina E; Dürr O; Wegener S; Sick B
    Med Image Anal; 2020 Oct; 65():101790. PubMed ID: 32801096
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Predicting motor vehicle collisions using Bayesian neural network models: an empirical analysis.
    Xie Y; Lord D; Zhang Y
    Accid Anal Prev; 2007 Sep; 39(5):922-33. PubMed ID: 17306751
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Two-dimensional materials-based probabilistic synapses and reconfigurable neurons for measuring inference uncertainty using Bayesian neural networks.
    Sebastian A; Pendurthi R; Kozhakhmetov A; Trainor N; Robinson JA; Redwing JM; Das S
    Nat Commun; 2022 Oct; 13(1):6139. PubMed ID: 36253370
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Uncertainty in clinical prediction rules: the value of credible intervals.
    Haskins R; Osmotherly PG; Tuyl F; Rivett DA
    J Orthop Sports Phys Ther; 2014 Feb; 44(2):85-91. PubMed ID: 24175605
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Joint Segmentation and Uncertainty Estimation of Ventricular Structures from Cardiac MRI using a Bayesian CondenseUNet.
    Hasan SMK; Linte CA
    Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul; 2022():5047-5050. PubMed ID: 36085846
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.