6 citations · 10 across the 9 of their papers we have counts for
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eess.IV2021
X2CT-FLOW: Maximum a posteriori reconstruction using a progressive flow-based deep generative model for ultra sparse-view computed tomography in ultra low-dose protocols
Hisaichi Shibata, Shouhei Hanaoka, Yukihiro Nomura +4
Ultra sparse-view computed tomography (CT) algorithms can reduce radiation exposure of patients, but those algorithms lack an explicit cycle consistency loss minimization and an ex…
cs.CL2021★ 6 cited
KART: Parameterization of Privacy Leakage Scenarios from Pre-trained Language Models
Yuta Nakamura, Shouhei Hanaoka, Yukihiro Nomura +5
For the safe sharing pre-trained language models, no guidelines exist at present owing to the difficulty in estimating the upper bound of the risk of privacy leakage. One problem i…