Speaker
Philipp Heuser
(DESY/Helmholtz Imaging)
Description
The Helmholtz Imaging Support Team exploits and develops a broad spectrum of deep learning architectures, to a variety of challenges as they occur along the scientific imaging pipeline. The tasks include classification, segmentation, registration, generation, denoising, reconstruction and more. The most commonly used architectures in the team are CNNs, VAEs, GANs, MLPs, Autoencoder/Decoder and LLMs.
Primary authors
David Schwartz
(IT (Research and Innovation in Scientific Co))
Engin Eren
(DESY / Helmholtz Imaging)
Jennifer Ahrens
(IT (Informationstechnik))
Philipp Heuser
(DESY/Helmholtz Imaging)
