540 citations · 1.2k across the 38 of their papers we have counts for
8 papers · 1 filter
Network2Vec Learning Node Representation Based on Space Mapping in Networks
Huang Zhenhua, Wang Zhenyu, Zhang Rui +3
Complex networks represented as node adjacency matrices constrains the application of machine learning and parallel algorithms. To address this limitation, network embedding (i.e.,…
A Combined Deep Learning-Gradient Boosting Machine Framework for Fluid Intelligence Prediction
Yeeleng S. Vang, Yingxin Cao, Xiaohui Xie
The ABCD Neurocognitive Prediction Challenge is a community driven competition asking competitors to develop algorithms to predict fluid intelligence score from T1-w MRIs. In this…
Adaptive Graphical Model Network for 2D Handpose Estimation
Deying Kong, Yifei Chen, Haoyu Ma +2
In this paper, we propose a new architecture called Adaptive Graphical Model Network (AGMN) to tackle the task of 2D hand pose estimation from a monocular RGB image. The AGMN consi…
NoduleNet: Decoupled False Positive Reductionfor Pulmonary Nodule Detection and Segmentation
Hao Tang, Chupeng Zhang, Xiaohui Xie
Pulmonary nodule detection, false positive reduction and segmentation represent three of the most common tasks in the computeraided analysis of chest CT images. Methods have been p…
Neural Multi-Scale Self-Supervised Registration for Echocardiogram Dense Tracking
Wentao Zhu, Yufang Huang, Mani A Vannan +5
Echocardiography has become routinely used in the diagnosis of cardiomyopathy and abnormal cardiac blood flow. However, manually measuring myocardial motion and cardiac blood flow…
Automatic Pulmonary Lobe Segmentation Using Deep Learning
Hao Tang, Chupeng Zhang, Xiaohui Xie
Pulmonary lobe segmentation is an important task for pulmonary disease related Computer Aided Diagnosis systems (CADs). Classical methods for lobe segmentation rely on successful d…
An End-to-end Framework For Integrated Pulmonary Nodule Detection and False Positive Reduction
Hao Tang, Xingwei Liu, Xiaohui Xie
Pulmonary nodule detection using low-dose Computed Tomography (CT) is often the first step in lung disease screening and diagnosis. Recently, algorithms based on deep convolutional…
Automated pulmonary nodule detection using 3D deep convolutional neural networks
Hao Tang, Daniel R. Kim, Xiaohui Xie
Early detection of pulmonary nodules in computed tomography (CT) images is essential for successful outcomes among lung cancer patients. Much attention has been given to deep convo…