ST 3: Artificial Intelligence in Medicine
Dienstag, 22. März 2022, 11:00–12:30, ST-H4
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11:00 |
ST 3.1 |
Optimierung und Evaluierung der Registrierung von CT- und MRT-Bildern mithilfe maschinellem Lernens — •Elena Darsht, Alexander Ratke und Bernhard Spaan
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11:15 |
ST 3.2 |
Towards a Digital Twin for clinical decision support of a prostate cancer patient — •Carlos Andres Brandl, Anna-Katharina Nitschke, and Matthias Weidemüller
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11:30 |
ST 3.3 |
Using generative adversarial networks to predict proton beam dose distributions in mice — •Lara Bußmann, Kevin Kröninger, Armin Lühr, Florian Mentzel, Janine Salewski, and Jens Weingarten
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11:45 |
ST 3.4 |
A step towards treatment planning for microbeam radiation therapy: fast dose predictions with generative adversarial networks — •Florian Mentzel, Micah Barnes, Kevin Kröninger, Michael Lerch, Olaf Nackenhorst, Jason Paino, Anatoly Rosenfeld, Ayu Saraswati, Ah Chung Tsoi, Jens Weingarten, Markus Hagenbuchner, and Susanna Guatelli
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12:00 |
ST 3.5 |
The contribution has been withdrawn.
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12:15 |
ST 3.6 |
Preparing transformer-based dose predictions: Performance of encoder/decoder structures for CT- and dose-sequence encoding — •Piet Hoffmann, Kevin Kröninger, Armin Lühr, Florian Mentzel, and Jens Weingarten
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