Marco Palombo

Nov 26, 2024 | elifesciences.org | Marco Palombo |Bharath Krishnan |Noah Cowan |Maëliss Jallais

Quantifying confidence in an estimate is of crucial importance. As demonstrated by our pathological example, changes in the tissue microstructure parameters can help clinicians decide which parameters are the most reliable and better interpret microstructure changes within diseased tissue. On large population studies, the quantified uncertainty can be taken into account when performing group statistics and to detect outliers. Multiple approaches have been used to try and quantify this uncertainty.

Dec 28, 2023 | arxiv.org | Marco Palombo

[Submitted on 28 Dec 2023 ( v1 ), last revised 4 Sep 2024 (this version, v4)] Title:$μ$GUIDE: a framework for quantitative imaging via generalized uncertainty-driven inference using deep learning View a PDF of the paper titled $\mu$GUIDE: a framework for quantitative imaging via generalized uncertainty-driven inference using deep learning, by Ma\"eliss Jallais and Marco Palombo View PDF HTML (experimental) Abstract:This work proposes $\mu$GUIDE: a general Bayesian framework to estimate...