Autoencoder-based Quality Assessment for Synthetic Diffusion-MRI Data

Weninger L, Drobjazko M, Na CH, Jütten K, Merhof D (2021)

Publication Type: Conference contribution

Publication year: 2021

Journal

Informatik aktuell Gesellschaft für Informatik (GI)

Publisher: Springer Science and Business Media Deutschland GmbH

Pages Range: 338-343

Conference Proceedings Title: Informatik aktuell

Event location: Regensburg, DEU

ISBN: 9783658331979

DOI: 10.1007/978-3-658-33198-6_83

Involved external institutions

Universitätsklinikum Aachen (UKA) DE Germany (DE) Rheinisch-Westfälische Technische Hochschule (RWTH) Aachen DE Germany (DE)

How to cite

APA:

Weninger, L., Drobjazko, M., Na, C.H., Jütten, K., & Merhof, D. (2021). Autoencoder-based Quality Assessment for Synthetic Diffusion-MRI Data. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 338-343). Regensburg, DEU: Springer Science and Business Media Deutschland GmbH.

MLA:

Weninger, Leon, et al. "Autoencoder-based Quality Assessment for Synthetic Diffusion-MRI Data." Proceedings of the German Workshop on Medical Image Computing, 2021, Regensburg, DEU Ed. Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff, Springer Science and Business Media Deutschland GmbH, 2021. 338-343.

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