Residual Neural Network for Filter Kernel Design in Filtered Back-projection for CT Image Reconstruction

Xu J, Sun C, Huang Y, Huang X (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: 164-169

Conference Proceedings Title: Informatik aktuell

Event location: Regensburg DE

ISBN: 9783658331979

DOI: 10.1007/978-3-658-33198-6_39

Authors with CRIS profile

Yixing Huang Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung)

Involved external institutions

Shanghai Jiao Tong University / 上海交通大学 CN China (CN)

How to cite

APA:

Xu, J., Sun, C., Huang, Y., & Huang, X. (2021). Residual Neural Network for Filter Kernel Design in Filtered Back-projection for CT Image Reconstruction. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 164-169). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.

MLA:

Xu, Jintian, et al. "Residual Neural Network for Filter Kernel Design in Filtered Back-projection for CT Image Reconstruction." Proceedings of the 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. 164-169.

BibTeX: Download