Lossy Compression of Multidimensional Medical Images Using Sinusoidal Activation Networks: An Evaluation Study-Reference-Cited by-同舟云学术

Lossy Compression of Multidimensional Medical Images Using Sinusoidal Activation Networks: An Evaluation Study

Published:2022 Issue: Volume: Page:26-37
ISSN:0302-9743
Container-title:Computational Diffusion MRI
language:
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Author:

Mancini Matteo,Jones Derek K.,Palombo Marco

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-21206-2_3

Reference26 articles.

1. Cosman, P.C., et al.: Thoracic ct images: effect of lossy compression on diagnostic accuracy. Radiology 190 (1994)

2. Descoteaux, M., Angelino, E., Fitzgibbons, S., Deriche, R.: Regularized, fast, and robust analytical q-ball imaging. Magnetic Resonance Med. Official J. Int. Soc. Magnetic Resonance Med. 58(3), 497–510 (2007)

3. Deutsch, P.: Rfc 1951: Deflate compressed data format specification version 1.3 (1996)

4. Dupont, E., Goliński, A., Alizadeh, M., Teh, Y.W., Doucet, A.: Coin: compression with implicit neural representations. arXiv preprint arXiv:2103.03123 (2021)

5. Dupont, E., Loya, H., Alizadeh, M., Goliński, A., Teh, Y.W., Doucet, A.: Coin++: Data agnostic neural compression. arXiv preprint arXiv:2201.12904 (2022)

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