research
∙
03/22/2023
Cube-Based 3D Denoising Diffusion Probabilistic Model for Cone Beam Computed Tomography Reconstruction with Incomplete Data
Deep learning (DL) has been extensively researched in the field of compu...
share
research
∙
11/18/2022
Patch-Based Denoising Diffusion Probabilistic Model for Sparse-View CT Reconstruction
Sparse-view computed tomography (CT) can be used to reduce radiation dos...
research
∙
11/16/2021
Phase function estimation from a diffuse optical image via deep learning
The phase function is a key element of a light propagation model for Mon...
research
∙
11/30/2020
Deep Interactive Denoiser (DID) for X-Ray Computed Tomography
Low dose computed tomography (LDCT) is desirable for both diagnostic ima...
research
∙
07/08/2020
Low-dimensional Manifold Constrained Disentanglement Network for Metal Artifact Reduction
Deep neural network based methods have achieved promising results for CT...
research
∙
12/09/2019
Deep Efficient End-to-end Reconstruction (DEER) Network for Low-dose Few-view Breast CT from Projection Data
Breast CT provides image volumes with isotropic resolution in high contr...
research
∙
09/25/2019
Deep-learning-based Breast CT for Radiation Dose Reduction
Cone-beam breast computed tomography (CT) provides true 3D breast images...
research
∙
07/02/2019
Dual Network Architecture for Few-view CT --Trained on ImageNet Data and Transferred for Medical Imaging
X-ray computed tomography (CT) reconstructs cross-sectional images from ...
research
∙
08/10/2018
CT Super-resolution GAN Constrained by the Identical, Residual, and Cycle Learning Ensemble(GAN-CIRCLE)
Computed tomography (CT) is a popular medical imaging modality for scree...
research
∙
05/02/2018
Structure-sensitive Multi-scale Deep Neural Network for Low-Dose CT Denoising
Computed tomography (CT) is a popular medical imaging modality in clinic...
research
∙
02/15/2018
3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning from a 2D Trained Network
Low-dose computed tomography (CT) has attracted a major attention in the...
research
∙
08/17/2017
General Backpropagation Algorithm for Training Second-order Neural Networks
The artificial neural network is a popular framework in machine learning...
research
∙
04/26/2017
A New Type of Neurons for Machine Learning
In machine learning, the use of an artificial neural network is the main...
research
∙
06/10/2011