MICIS-LAB
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Full image-index remainder based single low-dose DR/CT self-supervised denoising
Generative modeling in sinogram domain for sparse-view CT reconstruction
Kernel-based feature aggregation framework in point cloud networks
IMD-MTFC: Image-domain Material Decomposition via Material-image Tensor Factorization and Clustering for Spectral CT
Noise Suppression with Similarity-based Self-Supervised Deep Learning
Nonlinear Deviation CorrecTion for Ring-Artifact Removal With Cone-Beam Computed Tomography
Multi-domain Integrative Swin Transformer network for Sparse-view Tomographic Reconstruction
Deep Learning based spectral CT Imaging
DRONE: Dual-domain Residual-based Optimization NEtwork for Sparse-view CT Reconstruction
Weighted Adaptive Non-local Dictionary Reconstruction for Low-dose CT
Tensor Gradient L0-norm Minimization based Low-dose CT Imaging and Its Application to COVID-19
Nonlinear Deviation CorrecTion for Ring-Artifact Removal With Cone-Beam Computed Tomography, IEEE Transactions on Instrumentation and Measurement
Artificial Intelligence in Image Reconstruction: The Change is Here
Locally linear transform based three-dimensional gradient L0-norm minimization for spectral CT reconstruction
Ring-artifacts removal for photon-counting CT
Locally Linear Transform based Gradient L0-norm minimization for spectral CT reconstruction
Block matching frame based material reconstruction for spectral CT
SISTER: Spectral-Image Similarity-based Tensor with Enhanced-sparsity Reconstruction for Sparse-view Multi-energy CT
Improved Material Decomposition with a Two-step Regularization for spectral CT
Deep learning-based digital subtraction angiography image generation
Spectral Ct Reconstruction Via Self-Similarity In Image-Spectral Tensors
Deep Iterative Reconstruction Estimation (DIRE): Approximate Iterative Reconstruction Estimation for Low-dose CT Imaging
Spectral CT Reconstruction – ASSIST: Aided by Self-Similarity in Image-Spectral Tensors
Image Gradient L0-norm based PICCS (L0-PICCS) for Swinging Multi-source CT Reconstruction
Study of Parallel Translation Computed Laminography Imaging
Low-dose spectral CT reconstruction using L0 image gradient and tensor dictionary
Material Discrimination by Multi-Spectral CT Based on Image Total Variation and Tensor Dictionary
Non-local low-rank cube-based tensor factorization for Spectral CT reconstruction
Spatial-Spectral Cube Matching Frame for Spectral CT Reconstruction
Adaptive Weighted Total Variation Minimization based Alternating Direction Method of Multipliers for Limited Angle CT Reconstruction
Monte Carlo Simulation for a Dynamic Bowtie Filter with Cone-beam CT
Sparse-view Spectral CT Reconstruction Using Image Gradient L0–norm and Tensor Dictionary
Theoretically exact backprojection filtration algorithm for multi-segment linear trajectory
Swinging multi-source industrial CT systems for aperiodic dynamic imaging
Dynamic bowtie filter design with Monte Carlo simulation for cone-beam CT
Synchronous scanning mode of industrial computed tomography for multiple objects test
BPF-type region-of-interest reconstruction for parallel translational computed tomography
Nonlinear Deviation CorrecTion for Ring-Artifact Removal With Cone-Beam Computed Tomography
Backprojection Filtering Image Reconstruction for Linear Scan Based Tomography
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