Chen Qin

Orcid: 0000-0003-3417-3092

According to our database1, Chen Qin authored at least 63 papers between 2010 and 2024.

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Bibliography

2024
Space-Ground Multicast Group Control for Multiuser LEO Satellite Networks.
IEEE Trans. Wirel. Commun., February, 2024

Deep Network Cascade for Dynamic Cardiac MRI Reconstruction With Motion Feature Incorporation and the Fourier Neural Attention.
IEEE Trans. Computational Imaging, 2024

Neural Ordinary Differential Equation based Sequential Image Registration for Dynamic Characterization.
CoRR, 2024

Inference Stage Denoising for Undersampled MRI Reconstruction.
CoRR, 2024

2023
Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation.
IEEE Trans. Medical Imaging, November, 2023

Causality-Inspired Single-Source Domain Generalization for Medical Image Segmentation.
IEEE Trans. Medical Imaging, April, 2023

Region-focused multi-view transformer-based generative adversarial network for cardiac cine MRI reconstruction.
Medical Image Anal., April, 2023

High-Fidelity MRI Reconstruction Using Adaptive Spatial Attention Selection and Deep Data Consistency Prior.
IEEE Trans. Computational Imaging, 2023

Generative myocardial motion tracking via latent space exploration with biomechanics-informed prior.
Medical Image Anal., 2023

VAE-IF: Deep feature extraction with averaging for unsupervised artifact detection in routine acquired ICU time-series.
CoRR, 2023

CMRxRecon: An open cardiac MRI dataset for the competition of accelerated image reconstruction.
CoRR, 2023

Conditional Deformable Image Registration with Spatially-Variant and Adaptive Regularization.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
MulViMotion: Shape-Aware 3D Myocardial Motion Tracking From Multi-View Cardiac MRI.
IEEE Trans. Medical Imaging, 2022

Enhancing MR image segmentation with realistic adversarial data augmentation.
Medical Image Anal., 2022

The Extreme Cardiac MRI Analysis Challenge under Respiratory Motion (CMRxMotion).
CoRR, 2022

Artificial Intelligence-Based Image Reconstruction in Cardiac Magnetic Resonance.
CoRR, 2022

Adversarial Counterfactual Augmentation: Application in Alzheimer's Disease Classification.
CoRR, 2022

Hybrid Artifact Detection System for Minute Resolution Blood Pressure Signals from ICU.
CoRR, 2022

Embedding Gradient-Based Optimization in Image Registration Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Region-Guided Channel-Wise Attention Network for Accelerated MRI Reconstruction.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

High-Fidelity MRI Reconstruction with the Densely Connected Network Cascade and Feature Residual Data Consistency Priors.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2022

Multi-Group Multicast Beamforming in LEO Satellite Communications.
Proceedings of the IEEE Global Communications Conference, 2022

Coil-Agnostic Attention-Based Network for Parallel MRI Reconstruction.
Proceedings of the Computer Vision - ACCV 2022, 2022

2021
GraDIRN: Learning Iterative Gradient Descent-based Energy Minimization for Deformable Image Registration.
CoRR, 2021

Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation.
CoRR, 2021

Learning Diffeomorphic and Modality-invariant Registration using B-splines.
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021


Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Semantic Concentration for Domain Adaptation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

A Class Imbalance Monitoring Model for Fetal Heart Contractions Based on Gradient Boosting Decision Tree Ensemble Learning.
Proceedings of the Data Mining and Big Data - 6th International Conference, 2021

Towards Making More Reliable Cardiotocogram Data Prediction with Limited Expert Knowledge: Exploiting Unlabeled Data with Semi-supervised Boosting Method.
Proceedings of the Data Mining and Big Data - 6th International Conference, 2021

Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Deep Network Interpolation for Accelerated Parallel MR Image Reconstruction.
CoRR, 2020

Going Deeper into Cardiac Motion Analysis to Model Fine Spatio-Temporal Features.
Proceedings of the Medical Image Understanding and Analysis - 24th Annual Conference, 2020

Deep Generative Model-Based Quality Control for Cardiac MRI Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Biomechanics-Informed Neural Networks for Myocardial Motion Tracking in MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Realistic Adversarial Data Augmentation for MR Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019
Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction.
IEEE Trans. Medical Imaging, 2019

Σ-net: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction.
CoRR, 2019

Σ-net: Ensembled Iterative Deep Neural Networks for Accelerated Parallel MR Image Reconstruction.
CoRR, 2019

Deep learning for cardiac image segmentation: A review.
CoRR, 2019

Data consistency networks for (calibration-less) accelerated parallel MR image reconstruction.
CoRR, 2019

Exploiting Motion for Deep Learning Reconstruction of Extremely-Undersampled Dynamic MRI.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Deep Learning for Cardiac Motion Estimation: Supervised vs. Unsupervised Training.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019

k-t NEXT: Dynamic MR Image Reconstruction Exploiting Spatio-Temporal Correlations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

VS-Net: Variable Splitting Network for Accelerated Parallel MRI Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Unsupervised Deformable Registration for Multi-modal Images via Disentangled Representations.
Proceedings of the Information Processing in Medical Imaging, 2019

2018
A large margin algorithm for automated segmentation of white matter hyperintensity.
Pattern Recognit., 2018

A Hybrid Massive MIMO Jammer for TDD Point-to-Point Link.
Proceedings of the 10th International Conference on Wireless Communications and Signal Processing, 2018

Cardiac MR Segmentation from Undersampled k-space Using Deep Latent Representation Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Bayesian Deep Learning for Accelerated MR Image Reconstruction.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2018

Joint Motion Estimation and Segmentation from Undersampled Cardiac MR Image.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2018

Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Recurrent Neural Networks for Aortic Image Sequence Segmentation with Sparse Annotations.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2016
A Semi-supervised Large Margin Algorithm for White Matter Hyperintensity Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016


2015
Unsupervised neighborhood component analysis for clustering.
Neurocomputing, 2015

2014
Non-linear neighborhood component analysis based on constructive neural networks.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Mathematical Model of a Three-Dimensional Optical Interconnection Network.
Proceedings of the 9th IEEE International Conference on Networking, 2014

2013
Capability Exchange: Improving Access Control Usability in Health IT.
Proceedings of the 2013 USENIX Workshop on Health Information Technologies, 2013

2010
The Interaction of Community and Tourism: Dual Structure and Kuznets Hypothesis.
Proceedings of the International Conference on E-Business and E-Government, 2010

Application of a Combination Forecasting Model in Logistics Parks' Demand.
Proceedings of the International Conference on E-Business and E-Government, 2010


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