.css-1xsl8rf{width:100%;display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;position:relative;overflow:hidden;background:var(--alert-bg);-webkit-padding-start:var(--chakra-space-4);padding-inline-start:var(--chakra-space-4);-webkit-padding-end:var(--chakra-space-4);padding-inline-end:var(--chakra-space-4);padding-top:var(--chakra-space-1);padding-bottom:var(--chakra-space-1);--alert-fg:var(--chakra-colors-orange-600);--alert-bg:var(--chakra-colors-orange-100);font-weight:var(--chakra-fontWeights-semibold);padding-left:var(--chakra-space-4);}.chakra-ui-dark .css-1xsl8rf:not([data-theme]),[data-theme=dark] .css-1xsl8rf:not([data-theme]),.css-1xsl8rf[data-theme=dark]{--alert-fg:var(--chakra-colors-orange-200);--alert-bg:rgba(251, 211, 141, 0.16);}@media screen and (min-width: 48em){.css-1xsl8rf{padding-left:var(--chakra-space-8);}}Please enable Javascript to use all features and improve your user experience.

Eposter self-study
PS01.13

Uncertainty quantification of machine learning models for patient-specific quality assurance prediction

Appointment

Date: 12/09/2024

Time: 14:00 – 14:00

Talk time: 0 Min.

Discussion time: 0 Min.

Location / Stream:

Poster (self-study) 1

Poster

Uncertainty quantification of machine learning models for patient-specific quality assurance prediction

Session

Artificial intelligence (self-study)

Topics

Artificial intelligence
Clinical radiotherapy

Authors

Jocelyn Japnanto (London / GB), Nicola Lambri (Milan / IT), Prof. Dr. Pietro Mancosu (Milan / IT), Professor Andrew Nisbet (London / GB)