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Weihua Zhang
Researcher at Sichuan University
Publications - 14
Citations - 1325
Weihua Zhang is an academic researcher from Sichuan University. The author has contributed to research in topics: Iterative reconstruction & Deep learning. The author has an hindex of 9, co-authored 14 publications receiving 932 citations.
Papers
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Journal ArticleDOI
Low-dose CT via convolutional neural network
TL;DR: A deep convolutional neural network is here used to map low-dose CT images towards its corresponding normal-dose counterparts in a patch-by-patch fashion, demonstrating a great potential of the proposed method on artifact reduction and structure preservation.
Journal ArticleDOI
LEARN: Learned Experts’ Assessment-Based Reconstruction Network for Sparse-Data CT
Hu Chen,Yi Zhang,Yunjin Chen,Junfeng Zhang,Weihua Zhang,Huaiqiang Sun,Yang Lv,Peixi Liao,Jiliu Zhou,Ge Wang +9 more
TL;DR: In this paper, a learned experts' assessment-based reconstruction network (LEARN) was proposed for sparse-data computed tomography (CT) reconstruction, which utilizes application-oriented knowledge more effectively and recovers underlying images more favorably than competing algorithms.
Proceedings ArticleDOI
Low-dose CT denoising with convolutional neural network
TL;DR: In this article, a deep convolutional neural network is trained to transform low-dose CT images towards normal-dose images, patch-by-patch, patch by patch.
Journal ArticleDOI
Statistical iterative reconstruction using adaptive fractional order regularization.
TL;DR: A fractional order model based on statistical iterative reconstruction framework, which illustrated better results than several existing methods, especially, in structure and texture preservation, was proposed.
Journal ArticleDOI
Few-view image reconstruction with fractional-order total variation
TL;DR: This work presents a novel computed tomography reconstruction method for the few-view problem based on fractional calculus that achieves better performance than existing reconstruction methods, including filtered back projection (FBP), the total variation-based projections onto convex sets method (TV-POCS), and soft-threshold filtering (STH).