.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);}}Bitte aktivieren Sie Javascript um alle Funktionen nutzen zu können und ihre Nutzererfahrung zu verbessern.

Prof. Dr. med. Claus Belka

Munich / DE

Ludwig-Maximilians-Universität München

Weitere Beteiligungen

12.09.2024
14:12 – 14:16 3 Min. 1 Min.
Eposter presentation
PP01.06
AI assisted tumor tracking in 1.5 T MRgRT based on transfer learning from 0.35 T
Artificial intelligence, MRI, audiology and other non-ionising modalities
13.09.2024
14:32 – 14:36 3 Min. 1 Min.
Eposter presentation
PP19.11
A camera-only approach to measure gating latencies of gating systems based on surface imaging
Clinical radiotherapy, Innovative radiotherapy and medical imaging
13.09.2024
17:20 – 17:30 8 Min. 2 Min.
Abstract talk
SC29.05
Cone-beam CT dose reduction through projection and image-based deep learning super-resolution
Artificial intelligence, Innovative radiotherapy and medical imaging
13.09.2024
17:40 – 17:50 8 Min. 2 Min.
Abstract talk
SC29.07
AI-based prompt gamma prediction
Artificial intelligence, Innovative radiotherapy and medical imaging