34 citations · 41 across the 5 of their papers we have counts for
5 papers
LoMAE: Low-level Vision Masked Autoencoders for Low-dose CT Denoising
Dayang Wang, Yongshun Xu, Shuo Han +4
Low-dose computed tomography (LDCT) offers reduced X-ray radiation exposure but at the cost of compromised image quality, characterized by increased noise and artifacts. Recently,…
Manifoldron: Direct Space Partition via Manifold Discovery
Dayang Wang, Feng-Lei Fan, Bo-Jian Hou +6
A neural network with the widely-used ReLU activation has been shown to partition the sample space into many convex polytopes for prediction. However, the parameterized way a neura…
Deep Learning for the Classification of Lung Nodules
He Yang, Hengyong Yu, Ge Wang
Deep learning, as a promising new area of machine learning, has attracted a rapidly increasing attention in the field of medical imaging. Compared to the conventional machine learn…
BPF-type Region-of-interest Reconstruction for Parallel Translational Computed Tomography
Weiwen Wu, Hengyong Yu, Shaoyu Wang +1
Recently, an ultra-low-cost linear scan based tomography architecture was proposed by our team. Similar to linear tomosynthesis, the source and detector are translated in opposite…
Local Filtering Fundamentally Against Wide Spectrum
Ge Wang, Hengyong Yu, Scott S. Verbridge +1
Chen et al. (1) applied three-dimensional (3D) Fourier filtering together with equal-slope tomographic reconstruction for an observation of nearly all the atoms in a multiply twinn…