2 citations · 4 across the 2 of their papers we have counts for
3 papers
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…
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…
Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks
Charley Gros, Benjamin De Leener, Atef Badji +49
The spinal cord is frequently affected by atrophy and/or lesions in multiple sclerosis (MS) patients. Segmentation of the spinal cord and lesions from MRI data provides measures of…