398 citations · 2k across the 69 of their papers we have counts for
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Neural Multi-Atlas Label Fusion: Application to Cardiac MR Images
Heran Yang, Jian Sun, Huibin Li +2
Multi-atlas segmentation approach is one of the most widely-used image segmentation techniques in biomedical applications. There are two major challenges in this category of method…
SPLBoost: An Improved Robust Boosting Algorithm Based on Self-paced Learning
Kaidong Wang, Yao Wang, Qian Zhao +2
It is known that Boosting can be interpreted as a gradient descent technique to minimize an underlying loss function. Specifically, the underlying loss being minimized by the tradi…
ADMM-Net: A Deep Learning Approach for Compressive Sensing MRI
Yan Yang, Jian Sun, Huibin Li +1
Compressive sensing (CS) is an effective approach for fast Magnetic Resonance Imaging (MRI). It aims at reconstructing MR images from a small number of under-sampled data in k-spac…
Hyperspectral Image Classification with Markov Random Fields and a Convolutional Neural Network
Xiangyong Cao, Feng Zhou, Lin Xu +3
This paper presents a new supervised classification algorithm for remotely sensed hyperspectral image (HSI) which integrates spectral and spatial information in a unified Bayesian…
Denoising Hyperspectral Image with Non-i.i.d. Noise Structure
Yang Chen, Xiangyong Cao, Qian Zhao +2
Hyperspectral image (HSI) denoising has been attracting much research attention in remote sensing area due to its importance in improving the HSI qualities. The existing HSI denois…