858 citations · 913 across the 16 of their papers we have counts for
5 papers · 1 filter
KRNET: Image Denoising with Kernel Regulation Network
Peng Liu, Xiaoxiao Zhou, Junyiyang Li +2
One popular strategy for image denoising is to design a generalized regularization term that is capable of exploring the implicit prior underlying data observation. Convolutional n…
SDCNet: Smoothed Dense-Convolution Network for Restoring Low-Dose Cerebral CT Perfusion
Peng Liu, Ruogu Fang
With substantial public concerns on potential cancer risks and health hazards caused by the accumulated radiation exposure in medical imaging, reducing radiation dose in X-ray base…
CFEA: Collaborative Feature Ensembling Adaptation for Domain Adaptation in Unsupervised Optic Disc and Cup Segmentation
Peng Liu, Bin Kong, Zhongyu Li +2
Recently, deep neural networks have demonstrated comparable and even better performance with board-certified ophthalmologists in well-annotated datasets. However, the diversity of…
REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs
José Ignacio Orlando, Huazhu Fu, João Barbossa Breda +28
Glaucoma is one of the leading causes of irreversible but preventable blindness in working age populations. Color fundus photography (CFP) is the most cost-effective imaging modali…
Image Restoration Using Deep Regulated Convolutional Networks
Peng Liu, Xiaoxiao Zhou, Yangjunyi Li +2
While the depth of convolutional neural networks has attracted substantial attention in the deep learning research, the width of these networks has recently received greater intere…