Weijie Gan

Orcid: 0000-0003-3604-784X

According to our database1, Weijie Gan authored at least 21 papers between 2020 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
Pseudo-MRI-Guided PET Image Reconstruction Method Based on a Diffusion Probabilistic Model.
CoRR, 2024

2023
Self-Supervised Deep Equilibrium Models With Theoretical Guarantees and Applications to MRI Reconstruction.
IEEE Trans. Computational Imaging, 2023

FLAIR: A Conditional Diffusion Framework with Applications to Face Video Restoration.
CoRR, 2023

A Structured Pruning Algorithm for Model-based Deep Learning.
CoRR, 2023

PtychoDV: Vision Transformer-Based Deep Unrolling Network for Ptychographic Image Reconstruction.
CoRR, 2023

Block Coordinate Plug-and-Play Methods for Blind Inverse Problems.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SINCO: A Novel Structural Regularizer for Image Compression Using Implicit Neural Representations.
Proceedings of the IEEE International Conference on Acoustics, 2023

Convergence of Nonconvex PNP-ADMM with MMSE Denoisers.
Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

2022
Deformation-Compensated Learning for Image Reconstruction Without Ground Truth.
IEEE Trans. Medical Imaging, 2022

CoRRECT: A Deep Unfolding Framework for Motion-Corrected Quantitative R2* Mapping.
CoRR, 2022

Self-Supervised Deep Equilibrium Models for Inverse Problems with Theoretical Guarantees.
CoRR, 2022

Online Deep Equilibrium Learning for Regularization by Denoising.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Cross-Video Neural Representations for High-Quality Frame Interpolation.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
SGD-Net: Efficient Model-Based Deep Learning With Theoretical Guarantees.
IEEE Trans. Computational Imaging, 2021

MoDIR: Motion-Compensated Training for Deep Image Reconstruction without Ground Truth.
CoRR, 2021

Deep Image Reconstruction Using Unregistered Measurements Without Groundtruth.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Joint Reconstruction and Calibration Using Regularization by Denoising with Application to Computed Tomography.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

SS-JIRCS: Self-Supervised Joint Image Reconstruction and Coil Sensitivity Calibration in Parallel MRI without Ground Truth.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Stochastic Deep Unfolding for Imaging Inverse Problems.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
RARE: Image Reconstruction Using Deep Priors Learned Without Groundtruth.
IEEE J. Sel. Top. Signal Process., 2020

Image Reconstruction for MRI using Deep CNN Priors Trained without Groundtruth.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020


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