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08/16/2023
Two-and-a-half Order Score-based Model for Solving 3D Ill-posed Inverse Problems
Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) are crucia...
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10/10/2022
Masked Autoencoders for Low dose CT denoising
Low-dose computed tomography (LDCT) reduces the X-ray radiation but comp...
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10/03/2022
Spectral2Spectral: Image-spectral Similarity Assisted Spectral CT Deep Reconstruction without Reference
The photon-counting detector (PCD) based spectral computed tomography at...
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09/16/2022
SQ-Swin: a Pretrained Siamese Quadratic Swin Transformer for Lettuce Browning Prediction
Packaged fresh-cut lettuce is widely consumed as a major component of ve...
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02/28/2022
CTformer: Convolution-free Token2Token Dilated Vision Transformer for Low-dose CT Denoising
Low-dose computed tomography (LDCT) denoising is an important problem in...
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06/17/2021
AI-Enabled Ultra-Low-Dose CT Reconstruction
By the ALARA (As Low As Reasonably Achievable) principle, ultra-low-dose...
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06/08/2021
TED-net: Convolution-free T2T Vision Transformer-based Encoder-decoder Dilation network for Low-dose CT Denoising
Low dose computed tomography is a mainstream for clinical applications. ...
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08/04/2020
Stabilizing Deep Tomographic Reconstruction Networks
While the field of deep tomographic reconstruction has been advancing ra...
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07/17/2020
EZLDA: Efficient and Scalable LDA on GPUs
LDA is a statistical approach for topic modeling with a wide range of ap...
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05/30/2020
MetaInv-Net: Meta Inversion Network for Sparse View CT Image Reconstruction
X-ray Computed Tomography (CT) is widely used in clinical applications s...
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10/11/2019
Improved Material Decomposition with a Two-step Regularization for spectral CT
One of the advantages of spectral computed tomography (CT) is it can ach...
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05/06/2019
DLIMD: Dictionary Learning based Image-domain Material Decomposition for spectral CT
The potential huge advantage of spectral computed tomography (CT) is its...
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10/22/2018
Block Matching Frame based Material Reconstruction for Spectral CT
Spectral computed tomography (CT) has a great potential in material iden...
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07/24/2018
Non-local Low-rank Cube-based Tensor Factorization for Spectral CT Reconstruction
Spectral computed tomography (CT) reconstructs material-dependent attenu...
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08/03/2017
Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss
In this paper, we introduce a new CT image denoising method based on the...
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11/21/2016
Deep Learning for the Classification of Lung Nodules
Deep learning, as a promising new area of machine learning, has attracte...
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11/22/2013
Dictionary-Learning-Based Reconstruction Method for Electron Tomography
Electron tomography usually suffers from so called missing wedge artifac...
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06/10/2011