2 citations · 2 across the 1 of their papers we have counts for
3 papers
Convolutional Neural Networks for Estimation of Myelin Maturation in Infant Brain
Akihiko Wada, Yuya Saito, Ryusuke Irie +10
Myelination plays an important role in the neurological development of infant brain and MRI can visualize the myelination extension as T1 high and T2 low signal intensity at white…
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…