Hu Chen

Orcid: 0000-0001-9300-6572

Affiliations:
  • Sichuan University, College of Computer Science, Chengdu, China


According to our database1, Hu Chen authored at least 46 papers between 2013 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
FAM-Former: Global Transformer and Feature Aggregation Module for Knee MRI Age Estimation.
IEEE Trans. Instrum. Meas., 2024

Diffusion Posterior Proximal Sampling for Image Restoration.
CoRR, 2024

2023
DHI-GAN: Improving Dental-Based Human Identification Using Generative Adversarial Networks.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

SemiMAR: Semi-Supervised Learning for CT Metal Artifact Reduction.
IEEE J. Biomed. Health Informatics, November, 2023

Speckle denoising of optical coherence tomography image using residual encoder-decoder CycleGAN.
Signal Image Video Process., June, 2023

Population reduction with individual similarity for differential evolution.
Artif. Intell. Rev., May, 2023

MLF-IOSC: Multi-Level Fusion Network With Independent Operation Search Cell for Low-Dose CT Denoising.
IEEE Trans. Medical Imaging, April, 2023

Enhancing differential evolution algorithm using leader-adjoint populations.
Inf. Sci., 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

Iterative Reconstruction Based on Latent Diffusion Model for Sparse Data Reconstruction.
CoRR, 2023

Hierarchical Disentangled Representation for Invertible Image Denoising and Beyond.
CoRR, 2023

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

A fine-grained network for human identification using panoramic dental images.
Patterns, 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

Depth Completion Using Geometry-Aware Embedding.
Proceedings of the 2022 International Conference on Robotics and Automation, 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

LCANet: Learnable Connected Attention Network for Human Identification Using Dental Images.
IEEE Trans. Medical Imaging, 2021

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

Sharpness and Brightness Quality Assessment of Face Images for Recognition.
Sci. Program., 2021

Disentangled generative adversarial network for low-dose CT.
EURASIP J. Adv. Signal Process., 2021

PointShuffleNet: Learning Non-Euclidean Features with Homotopy Equivalence and Mutual Information.
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

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

Learning Invariant Representation for Unsupervised Image Restoration.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Visual Attention Network for Low-Dose CT.
IEEE Signal Process. Lett., 2019

Denoising of 3D magnetic resonance images using a residual encoder-decoder Wasserstein generative adversarial network.
Medical Image Anal., 2019

2018
LEARN: Learned Experts' Assessment-Based Reconstruction Network for Sparse-Data CT.
IEEE Trans. Medical Imaging, 2018

Denoising of 3-D Magnetic Resonance Images Using a Residual Encoder-Decoder Wasserstein Generative Adversarial Network.
CoRR, 2018

2017
Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network.
IEEE Trans. Medical Imaging, 2017

Effective face landmark localization via single deep network.
CoRR, 2017

Learned Experts' Assessment-based Reconstruction Network ("LEARN") for Sparse-data CT.
CoRR, 2017

Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN).
CoRR, 2017

Low-dose CT denoising with convolutional neural network.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016
Unseen head pose prediction using dense multivariate label distribution.
Frontiers Inf. Technol. Electron. Eng., 2016

Towards resolution invariant face recognition in uncontrolled scenarios.
Proceedings of the International Conference on Biometrics, 2016

Face Landmark Localization Using a Single Deep Network.
Proceedings of the Biometric Recognition - 11th Chinese Conference, 2016

2013
Few-view image reconstruction combining total variation and a high-order norm.
Int. J. Imaging Syst. Technol., 2013


  Loading...