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 *

127 related articles for article (PubMed ID: 32471077)

  • 1. Automated Detection of Presymptomatic Conditions in Spinocerebellar Ataxia Type 2 Using Monte Carlo Dropout and Deep Neural Network Techniques with Electrooculogram Signals.
    Stoean C; Stoean R; Atencia M; Abdar M; Velázquez-Pérez L; Khosravi A; Nahavandi S; Acharya UR; Joya G
    Sensors (Basel); 2020 May; 20(11):. PubMed ID: 32471077
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Accuracy, uncertainty, and adaptability of automatic myocardial ASL segmentation using deep CNN.
    Do HP; Guo Y; Yoon AJ; Nayak KS
    Magn Reson Med; 2020 May; 83(5):1863-1874. PubMed ID: 31729078
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning.
    Abdar M; Samami M; Dehghani Mahmoodabad S; Doan T; Mazoure B; Hashemifesharaki R; Liu L; Khosravi A; Acharya UR; Makarenkov V; Nahavandi S
    Comput Biol Med; 2021 Aug; 135():104418. PubMed ID: 34052016
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Bayesian deep learning-based
    Lee HH; Kim H
    Magn Reson Med; 2022 Jul; 88(1):38-52. PubMed ID: 35344604
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Uncertainty propagation for dropout-based Bayesian neural networks.
    Mae Y; Kumagai W; Kanamori T
    Neural Netw; 2021 Dec; 144():394-406. PubMed ID: 34562813
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Uncertainty and interpretability in convolutional neural networks for semantic segmentation of colorectal polyps.
    Wickstrøm K; Kampffmeyer M; Jenssen R
    Med Image Anal; 2020 Feb; 60():101619. PubMed ID: 31810005
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Uncertainty estimation for deep learning-based pectoral muscle segmentation via Monte Carlo dropout.
    Klanecek Z; Wagner T; Wang YK; Cockmartin L; Marshall N; Schott B; Deatsch A; Studen A; Hertl K; Jarm K; Krajc M; Vrhovec M; Bosmans H; Jeraj R
    Phys Med Biol; 2023 May; 68(11):. PubMed ID: 37137317
    [No Abstract]   [Full Text] [Related]  

  • 8. Empirical validation of Conformal Prediction for trustworthy skin lesions classification.
    Fayyad J; Alijani S; Najjaran H
    Comput Methods Programs Biomed; 2024 Aug; 253():108231. PubMed ID: 38820714
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A comparison of Monte Carlo dropout and bootstrap aggregation on the performance and uncertainty estimation in radiation therapy dose prediction with deep learning neural networks.
    Nguyen D; Sadeghnejad Barkousaraie A; Bohara G; Balagopal A; McBeth R; Lin MH; Jiang S
    Phys Med Biol; 2021 Feb; 66(5):054002. PubMed ID: 33503599
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Uncertainty-aware skin cancer detection: The element of doubt.
    Tabarisaadi P; Khosravi A; Nahavandi S
    Comput Biol Med; 2022 May; 144():105357. PubMed ID: 35259615
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Monte Carlo Dropout for Uncertainty Estimation and Motor Imagery Classification.
    Milanés-Hermosilla D; Trujillo Codorniú R; López-Baracaldo R; Sagaró-Zamora R; Delisle-Rodriguez D; Villarejo-Mayor JJ; Núñez-Álvarez JR
    Sensors (Basel); 2021 Oct; 21(21):. PubMed ID: 34770553
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Extremely randomized neural networks for constructing prediction intervals.
    Mancini T; Calvo-Pardo H; Olmo J
    Neural Netw; 2021 Dec; 144():113-128. PubMed ID: 34487958
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Left ventricle quantification with sample-level confidence estimation via Bayesian neural network.
    Xue W; Guo T; Ni D
    Comput Med Imaging Graph; 2020 Sep; 84():101753. PubMed ID: 32755759
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Mitigating inherent noise in Monte Carlo dose distributions using dilated U-Net.
    Javaid U; Souris K; Dasnoy D; Huang S; Lee JA
    Med Phys; 2019 Dec; 46(12):5790-5798. PubMed ID: 31600829
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Calibrated uncertainty estimation for interpretable proton computed tomography image correction using Bayesian deep learning.
    Nomura Y; Tanaka S; Wang J; Shirato H; Shimizu S; Xing L
    Phys Med Biol; 2021 Mar; 66(6):065029. PubMed ID: 33626513
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A generative adversarial network approach to (ensemble) weather prediction.
    Bihlo A
    Neural Netw; 2021 Jul; 139():1-16. PubMed ID: 33662648
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Bayesian convolutional neural network-based generalized linear model.
    Jeon Y; Chang W; Jeong S; Han S; Park J
    Biometrics; 2024 Mar; 80(2):. PubMed ID: 38888097
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Efficient Photoacoustic Image Synthesis with Deep Learning.
    Rix T; Dreher KK; Nölke JH; Schellenberg M; Tizabi MD; Seitel A; Maier-Hein L
    Sensors (Basel); 2023 Aug; 23(16):. PubMed ID: 37631628
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Uncertainty Quantification for Deep Learning in Ultrasonic Crack Characterization.
    Pyle RJ; Hughes RR; Ali AAS; Wilcox PD
    IEEE Trans Ultrason Ferroelectr Freq Control; 2022 Jul; 69(7):2339-2351. PubMed ID: 35604965
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Optimisation and Calibration of Bayesian Neural Network for Probabilistic Prediction of Biogas Performance in an Anaerobic Lagoon.
    Vien BS; Kuen T; Rose LRF; Chiu WK
    Sensors (Basel); 2024 Apr; 24(8):. PubMed ID: 38676155
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.