1k citations · 2.8k across the 70 of their papers we have counts for
70 papers
Mining fMRI Dynamics with Parcellation Prior for Brain Disease Diagnosis
Xiaozhao Liu, Mianxin Liu, Lang Mei +4
To characterize atypical brain dynamics under diseases, prevalent studies investigate functional magnetic resonance imaging (fMRI). However, most of the existing analyses compress…
Joint and Individual Component Regression
Peiyao Wang, Haodong Wang, Quefeng Li +2
Multi-group data are commonly seen in practice. Such data structure consists of data from multiple groups and can be challenging to analyze due to data heterogeneity. We propose a…
Hierarchical Graph Convolutional Network Built by Multiscale Atlases for Brain Disorder Diagnosis Using Functional Connectivity
Mianxin Liu, Han Zhang, Feng Shi +1
Functional connectivity network (FCN) data from functional magnetic resonance imaging (fMRI) is increasingly used for the diagnoses of brain disorders. However, state-of-the-art st…
Two-Stream Graph Convolutional Network for Intra-oral Scanner Image Segmentation
Yue Zhao, Lingming Zhang, Yang Liu +6
Precise segmentation of teeth from intra-oral scanner images is an essential task in computer-aided orthodontic surgical planning. The state-of-the-art deep learning-based methods…
A Long Short-term Memory Based Recurrent Neural Network for Interventional MRI Reconstruction
Ruiyang Zhao, Zhao He, Tao Wang +8
Interventional magnetic resonance imaging (i-MRI) for surgical guidance could help visualize the interventional process such as deep brain stimulation (DBS), improving the surgery…
Follow My Eye: Using Gaze to Supervise Computer-Aided Diagnosis
Sheng Wang, Xi Ouyang, Tianming Liu +2
When deep neural network (DNN) was first introduced to the medical image analysis community, researchers were impressed by its performance. However, it is evident now that a large…