Rosa Maza-Quiroga, Karl Thurnhofer-Hemsi, Domingo López-Rodríguez, Ezequiel López-Rubio. Rician Noise Estimation for 3D Magnetic Resonance Images Based on Benford's Law. In Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert, editors, Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part VI. Volume 12906 of Lecture Notes in Computer Science, pages 340-349, Springer, 2021. [doi]
@inproceedings{Maza-QuirogaTLL21,
title = {Rician Noise Estimation for 3D Magnetic Resonance Images Based on Benford's Law},
author = {Rosa Maza-Quiroga and Karl Thurnhofer-Hemsi and Domingo López-Rodríguez and Ezequiel López-Rubio},
year = {2021},
doi = {10.1007/978-3-030-87231-1_33},
url = {https://doi.org/10.1007/978-3-030-87231-1_33},
researchr = {https://researchr.org/publication/Maza-QuirogaTLL21},
cites = {0},
citedby = {0},
pages = {340-349},
booktitle = {Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27 - October 1, 2021, Proceedings, Part VI},
editor = {Marleen de Bruijne and Philippe C. Cattin and Stéphane Cotin and Nicolas Padoy and Stefanie Speidel and Yefeng Zheng and Caroline Essert},
volume = {12906},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-030-87231-1},
}