Wenjun Xia

Orcid: 0000-0002-0428-1490

According to our database1, Wenjun Xia authored at least 44 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Progressive dual-domain-transfer cycleGAN for unsupervised MRI reconstruction.
Neurocomputing, January, 2024

2023
Blind Image Quality Assessment via Deep Response Feature Decomposition and Aggregation.
IEEE J. Sel. Top. Signal Process., November, 2023

Root canal treatment planning by automatic tooth and root canal segmentation in dental CBCT with deep multi-task feature learning.
Medical Image Anal., April, 2023

M<sub>3</sub>NAS: Multi-Scale and Multi-Level Memory-Efficient Neural Architecture Search for Low-Dose CT Denoising.
IEEE Trans. Medical Imaging, March, 2023

Physics-/Model-Based and Data-Driven Methods for Low-Dose Computed Tomography: A survey.
IEEE Signal Process. Mag., March, 2023

CO<sub>3</sub>Net: Coordinate-Aware Contrastive Competitive Neural Network for Palmprint Recognition.
IEEE Trans. Instrum. Meas., 2023

Diffusion Prior Regularized Iterative Reconstruction for Low-dose CT.
CoRR, 2023

Blind CT Image Quality Assessment Using DDPM-derived Content and Transformer-based Evaluator.
CoRR, 2023

Sub-volume-based Denoising Diffusion Probabilistic Model for Cone-beam CT Reconstruction from Incomplete Data.
CoRR, 2023

2022
FONT-SIR: Fourth-Order Nonlocal Tensor Decomposition Model for Spectral CT Image Reconstruction.
IEEE Trans. Medical Imaging, 2022

Patch-Based Denoising Diffusion Probabilistic Model for Sparse-View CT Reconstruction.
CoRR, 2022

Low-Dose CT Using Denoising Diffusion Probabilistic Model for 20$\times$ Speedup.
CoRR, 2022

Hypernetwork-based Personalized Federated Learning for Multi-Institutional CT Imaging.
CoRR, 2022

Synergizing Physics/Model-based and Data-driven Methods for Low-Dose CT.
CoRR, 2022

A Transformer-Based Iterative Reconstruction Model for Sparse-View CT Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Leaders: Learnable Deep Radial Subsampling for Mri Reconstruction.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Unsupervised PET Reconstruction from a Bayesian Perspective.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Low-Dose CT Denoising via Neural Architecture Search.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021
MAGIC: Manifold and Graph Integrative Convolutional Network for Low-Dose CT Reconstruction.
IEEE Trans. Medical Imaging, 2021

CT Reconstruction With PDF: Parameter-Dependent Framework for Data From Multiple Geometries and Dose Levels.
IEEE Trans. Medical Imaging, 2021

Noise-Powered Disentangled Representation for Unsupervised Speckle Reduction of Optical Coherence Tomography Images.
IEEE Trans. Medical Imaging, 2021

Provably Convergent Learned Inexact Descent Algorithm for Low-Dose CT Reconstruction.
CoRR, 2021

IDOL-Net: An Interactive Dual-Domain Parallel Network for CT Metal Artifact Reduction.
CoRR, 2021

MANAS: Multi-Scale and Multi-Level Neural Architecture Search for Low-Dose CT Denoising.
CoRR, 2021

DAN-Net: Dual-Domain Adaptive-Scaling Non-local Network for CT Metal Artifact Reduction.
CoRR, 2021

One Network to Solve Them All: A Sequential Multi-task Joint Learning Network Framework for MR Imaging Pipeline.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2021

Dual-Domain Adaptive-Scaling Non-local Network for CT Metal Artifact Reduction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Ct Reconstruction With Pdf: Parameter-Dependent Framework For Multiple Scanning Geometries And Dose Levels.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Fourth- Order Nonlocal Tensor Decomposition Model For Spectral Computed Tomography.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Root Canal Segmentation in CBCT Images by 3D U-Net with Global and Local Combination Loss.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
LEARN++: Recurrent Dual-Domain Reconstruction Network for Compressed Sensing CT.
CoRR, 2020

CT Reconstruction with PDF: Parameter-Dependent Framework for Multiple Scanning Geometries and Dose Levels.
CoRR, 2020

Disentanglement Network for Unsupervised Speckle Reduction of Optical Coherence Tomography Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

CBCT image segmentation of tooth-root canal based on improved level set algorithm.
Proceedings of the CIPAE 2020: 2020 International Conference on Computers, 2020

MMSSD: Multi-scale and Multi-level Single Shot Detector for Brain Metastases Detection.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2019
Convolutional Sparse Coding for Compressed Sensing CT Reconstruction.
IEEE Trans. Medical Imaging, 2019

Spectral CT Reconstruction - ASSIST: Aided by Self-Similarity in Image-Spectral Tensors.
IEEE Trans. Computational Imaging, 2019

Nonlocal Weighted Nuclear Norm Minimization based Sparse-Sampling CT Image Reconstruction.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Spectral Ct Reconstruction Via Self-Similarity In Image-Spectral Tensors.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Sparse-View Ct Reconstruction Via Convolutional Sparse Coding.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
NOWNUNM: Nonlocal Weighted Nuclear Norm Minimization for Sparse-Sampling CT Reconstruction.
IEEE Access, 2018

2016
A Nearest Neighbor Classifier Employing Critical Boundary Vectors for Efficient On-Chip Template Reduction.
IEEE Trans. Neural Networks Learn. Syst., 2016

2012
Self-adaptive quasi-Gaussian circuits for analog on-chip-trainable multi-class classifiers.
Proceedings of the 2012 IEEE International Symposium on Circuits and Systems, 2012

2011
Critical Boundary Vector Concept in Nearest Neighbor Classifiers using k-Means Centers for Efficient Template Reduction.
Proceedings of the NCTA 2011, 2011


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