3 papers
cs.CV2019
FRNET: Flattened Residual Network for Infant MRI Skull Stripping
Qian Zhang, Li Wang, Xiaopeng Zong +3
Skull stripping for brain MR images is a basic segmentation task. Although many methods have been proposed, most of them focused mainly on the adult MR images. Skull stripping for…
cs.CV2019
Spherical U-Net on Cortical Surfaces: Methods and Applications
Fenqiang Zhao, Shunren Xia, Zhengwang Wu +6
Convolutional Neural Networks (CNNs) have been providing the state-of-the-art performance for learning-related problems involving 2D/3D images in Euclidean space. However, unlike i…
cs.CV2017
Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation
Jose Dolz, Christian Desrosiers, Li Wang +3
Precise 3D segmentation of infant brain tissues is an essential step towards comprehensive volumetric studies and quantitative analysis of early brain developement. However, comput…