Research graph
References from ANN uncertainty estimates in assessing fatty liver content from ultrasound data. Local targets link to admitted publications; unresolved targets remain external evidence.
A multisociety delphi consensus statement on new fatty liver disease nomenclature
10.1016/j.jhep.2023.06.003 · 2023 · External reference
Noninvasive diagnosis of nonalcoholic fatty liver disease and quantification of liver fat with radiofrequency ultrasound data using one-dimensional convolutional neural networks
2020 · External reference
10.1038/nrgastro.2013.171
10.1038/nrgastro.2013.171 · External reference
Liver biopsy
10.1056/nejm200102153440706 · 2001 · External reference
Non-invasive assessment of hepatic steatosis in patients with nafld using controlled attenuation parameter and 1h-mr spectroscopy
10.1371/journal.pone.0091987 · 2014 · External reference
Sonographic hepatic-renal ratio as indicator of hepatic steatosis: comparison with (1) h magnetic resonance spectroscopy
10.1016/j.metabol.2009.05.032 · 2009 · External reference
Non-invasive quantitative assessment of liver fat by ultrasound imaging
10.1016/j.ultrasmedbio.2018.03.011 · 2018 · External reference
10.1111/liv.16078
10.1111/liv.16078 · External reference
Symtosis: a liver ultrasound tissue characterization and risk stratification in optimized deep learning paradigm
10.1016/j.cmpb.2017.12.016 · 2018 · External reference
Transfer learning with deep convolutional neural network for liver steatosis assessment in ultrasound images
10.1007/s11548-018-1843-2 · 2018 · External reference
Application of deep learning in quantitative analysis of 2-dimensional ultrasound imaging of nonalcoholic fatty liver disease
2019 · External reference
Magnetic resonance imaging and spectroscopy for monitoring liver steatosis
10.1002/jmri.21542 · 2008 · External reference
Unresolved reference
2021 · External reference
Non-alcoholic fatty liver disease: implementing complete automated diagnosis and staging. A systematic review
2021 · External reference
Unresolved reference
2018 · External reference
Two-dimensional convolutional neural network using quantitative us for noninvasive assessment of hepatic steatosis in nafld
2023 · External reference
Comparison of radiologists and deep learning for us grading of hepatic steatosis
2023 · External reference
To trust or not to trust a classifier
2018 · External reference
10.1089/big.2016.0051
10.1089/big.2016.0051 · External reference
Calibrated structured prediction
2015 · External reference
Unresolved reference
2017 · External reference
Bayesian neural networks and density networks
10.1016/0168-9002(94)00931-7 · 1995 · External reference
Simple and scalable predictive uncertainty estimation using deep ensembles
2017 · External reference
10.1007/978-3-319-44781-0_9
10.1007/978-3-319-44781-0_9 · 2016 · External reference
Hands-on Bayesian neural networks—a tutorial for deep learning users
10.1109/mci.2022.3155327 · 2022 · External reference
Bayesian learning for neural networks: an algorithmic survey
10.1007/s10462-023-10443-1 · 2023 · External reference
A review of uncertainty estimation and its application in medical imaging
10.1016/j.metrad.2023.100003 · 2023 · External reference
A Bayesian convolutional neural network-based generalized linear model
2022 · External reference
Graddiv: adversarial robustness of randomized neural networks via gradient diversity regularization
2022 · External reference
Proton density fat-fraction: a standardized mr-based biomarker of tissue fat concentration
2012 · External reference
Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods
10.1007/s10994-021-05946-3 · 2021 · External reference
Cross-validatory choice and assessment of statistical predictions
10.1111/j.2517-6161.1974.tb00994.x · 1974 · External reference
Dropout: a simple way to prevent neural networks from overfitting
2014 · External reference
The dropout learning algorithm
10.1016/j.artint.2014.02.004 · 2014 · External reference
Unresolved reference
2016 · External reference
10.1162/neco.1992.4.3.448
10.1162/neco.1992.4.3.448 · External reference
Bayesian model averaging: a tutorial (with comments by M. Clyde, David Draper and E.I. George, and a rejoinder by the authors)
1999 · External reference
10.1201/9781482296426
10.1201/9781482296426 · 2006 · External reference
10.1080/01621459.2017.1285773
10.1080/01621459.2017.1285773 · External reference
Aleatory or epistemic? Does it matter?
10.1016/j.strusafe.2008.06.020 · 2009 · External reference
Enhancing covid-19 ct image segmentation: a comparative study of attention and recurrence in unet models
10.3390/jimaging9120283 · 2023 · External reference
Unresolved reference
External reference
