JBFnet: Low Dose CT-denoising by Trainable Joint Bilateral Filtering

Patwari M, Gutjahr R, Raupach R, Maier A (2021)

Publication Language: English

Publication Type: Conference contribution, Abstract of a poster

Publication year: 2021

Journal

Informatik aktuell Gesellschaft für Informatik (GI)

Publisher: Springer Science and Business Media Deutschland GmbH

Series: INFORMAT

Book Volume: 1

Pages Range: 316-316

Conference Proceedings Title: Informatik aktuell

Event location: Regensburg DE

ISBN: 9783658331979

URI: https://link.springer.com/chapter/10.1007/978-3-658-33198-6_76

DOI: 10.1007/978-3-658-33198-6_76

Authors with CRIS profile

Mayank Patwari Lehrstuhl für Informatik 5 (Mustererkennung) Andreas Maier Lehrstuhl für Informatik 5 (Mustererkennung)

Involved external institutions

Siemens AG DE Germany (DE)

How to cite

APA:

Patwari, M., Gutjahr, R., Raupach, R., & Maier, A. (2021, March). JBFnet: Low Dose CT-denoising by Trainable Joint Bilateral Filtering. Poster presentation at German Workshop on Medical Image Computing, 2021, Regensburg, DE.

MLA:

Patwari, Mayank, et al. "JBFnet: Low Dose CT-denoising by Trainable Joint Bilateral Filtering." Presented at German Workshop on Medical Image Computing, 2021, Regensburg Ed. Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff, Springer Science and Business Media Deutschland GmbH, 2021.

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