407 citations · 1.1k across the 59 of their papers we have counts for
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KLDivNet: An unsupervised neural network for multi-modality image registration
Yechong Huang, Tao Song, Jiahang Xu +2
Multi-modality image registration is one of the most underlined processes in medical image analysis. Recently, convolutional neural networks (CNNs) have shown significant potential…
Cardiac Segmentation from LGE MRI Using Deep Neural Network Incorporating Shape and Spatial Priors
Qian Yue, Xinzhe Luo, Qing Ye +2
Cardiac segmentation from late gadolinium enhancement MRI is an important task in clinics to identify and evaluate the infarction of myocardium. The automatic segmentation is howev…
Multi-scale deep neural networks for real image super-resolution
Shangqi Gao, Xiahai Zhuang
Single image super-resolution (SR) is extremely difficult if the upscaling factors of image pairs are unknown and different from each other, which is common in real image SR. To ta…
A Fully-Automatic Framework for Parkinson's Disease Diagnosis by Multi-Modality Images
Jiahang Xu, Fangyang Jiao, Yechong Huang +7
Background: Parkinson's disease (PD) is a prevalent long-term neurodegenerative disease. Though the diagnostic criteria of PD are relatively well defined, the current medical imagi…
Diagnosis of Alzheimer's Disease via Multi-modality 3D Convolutional Neural Network
Yechong Huang, Jiahang Xu, Yuncheng Zhou +3
Alzheimer's Disease (AD) is one of the most concerned neurodegenerative diseases. In the last decade, studies on AD diagnosis attached great significance to artificial intelligence…
Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge
Xiahai Zhuang, Lei Li, Christian Payer +31
Knowledge of whole heart anatomy is a prerequisite for many clinical applications. Whole heart segmentation (WHS), which delineates substructures of the heart, can be very valuable…
Atrial Scar Quantification via Multi-scale CNN in the Graph-cuts Framework
Lei Li, Fuping Wu, Guang Yang +6
Late gadolinium enhancement magnetic resonance imaging (LGE MRI) appears to be a promising alternative for scar assessment in patients with atrial fibrillation (AF). Automating the…