27 citations · 31 across the 4 of their papers we have counts for
4 papers
Reconstruction of Cortical Surfaces with Spherical Topology from Infant Brain MRI via Recurrent Deformation Learning
Xiaoyang Chen, Junjie Zhao, Siyuan Liu +2
Cortical surface reconstruction (CSR) from MRI is key to investigating brain structure and function. While recent deep learning approaches have significantly improved the speed of…
Brain Tissue Segmentation Across the Human Lifespan via Supervised Contrastive Learning
Xiaoyang Chen, Jinjian Wu, Wenjiao Lyu +6
Automatic segmentation of brain MR images into white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF) is critical for tissue volumetric analysis and cortical surface re…
Longitudinal Prediction of Postnatal Brain Magnetic Resonance Images via a Metamorphic Generative Adversarial Network
Yunzhi Huang, Sahar Ahmad, Luyi Han +6
Missing scans are inevitable in longitudinal studies due to either subject dropouts or failed scans. In this paper, we propose a deep learning framework to predict missing scans fr…
Task Decomposition and Synchronization for Semantic Biomedical Image Segmentation
Xuhua Ren, Lichi Zhang, Sahar Ahmad +5
Semantic segmentation is essentially important to biomedical image analysis. Many recent works mainly focus on integrating the Fully Convolutional Network (FCN) architecture with s…