2 citations · 4 across the 2 of their papers we have counts for
2 papers
eess.IV2020★ 2 cited
A neural network model that learns differences in diagnosis strategies among radiologists has an improved area under the curve for aneurysm status classification in magnetic resonance angiography image series
Yasuhiko Tachibana, Masataka Nishimori, Naoyuki Kitamura +4
Purpose: To construct a neural network model that can learn the different diagnosing strategies of radiologists to better classify aneurysm status in magnetic resonance angiography…
eess.IV2019★ 2 cited
The utility of a convolutional neural network for generating a myelin volume index map from rapid simultaneous relaxometry imaging
Yasuhiko Tachibana, Akifumi Hagiwara, Masaaki Hori +9
Background and Purpose: A current algorithm to obtain a synthetic myelin volume fraction map (SyMVF) from rapid simultaneous relaxometry imaging (RSRI) has a potential problem, tha…