1 citations · 2 across the 3 of their papers we have counts for
4 papers
Generalized Deep Learning-based Proximal Gradient Descent for MR Reconstruction
Guanxiong Luo, Mengmeng Kuang, Peng Cao
The data consistency for the physical forward model is crucial in inverse problems, especially in MR imaging reconstruction. The standard way is to unroll an iterative algorithm in…
Deep Learning based Spectral CT Imaging
Weiwen Wu, Dianlin Hu, Chuang Niu +7
Spectral computed tomography (CT) has attracted much attention in radiation dose reduction, metal artifacts removal, tissue quantification and material discrimination. The x-ray en…
Development of Conditional Random Field Insert for UNet-based Zonal Prostate Segmentation on T2-Weighted MRI
Peng Cao, Susan M. Noworolski, Olga Starobinets +6
Purpose: A conventional 2D UNet convolutional neural network (CNN) architecture may result in ill-defined boundaries in segmentation output. Several studies imposed stronger constr…
Deep convolution neural network model for automatic risk assessment of patients with non-metastatic nasopharyngeal carcinoma
Richard Du, Peng Cao, Lujun Han +3
Nasopharyngeal Carcinoma (NPC) is endemic cancer in the south-east Asia. With the advent of intensity-modulated radiotherapy excellent locoregional control are being achieved. Cons…