Canberk Ekmekci, Mujdat Cetin. Model-Based Bayesian Deep Learning Architecture for Linear Inverse Problems in Computational Imaging. In Charles A. Bouman, Gregery T. Buzzard, Robert L. Stevenson, editors, Computational Imaging XIX, Virtual Event, 11-28 January 2021. Ingenta, 2021. [doi]
@inproceedings{EkmekciC21,
title = {Model-Based Bayesian Deep Learning Architecture for Linear Inverse Problems in Computational Imaging},
author = {Canberk Ekmekci and Mujdat Cetin},
year = {2021},
doi = {10.2352/ISSN.2470-1173.2021.15.COIMG-201},
url = {https://doi.org/10.2352/ISSN.2470-1173.2021.15.COIMG-201},
researchr = {https://researchr.org/publication/EkmekciC21},
cites = {0},
citedby = {0},
booktitle = {Computational Imaging XIX, Virtual Event, 11-28 January 2021},
editor = {Charles A. Bouman and Gregery T. Buzzard and Robert L. Stevenson},
publisher = {Ingenta},
}