Chen Qin

According to our database, Chen Qin authored at least 68 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

High-frequency pressure fluctuations in vertical jet impingements: fast pressure-sensitive paint analysis.

Hongling Fan, Chunhua Wei, Jiaxi Zhao, Chen Qin, Haoyuan Zhang, Peng Wang, Huihui Guo

J. Vis., December, 2024

Space-Ground Multicast Group Control for Multiuser LEO Satellite Networks.

Dapeng Wu, Chen Qin, Yaping Cui, Peng He, Ruyan Wang

IEEE Trans. Wirel. Commun., February, 2024

Deep Network Cascade for Dynamic Cardiac MRI Reconstruction With Motion Feature Incorporation and the Fourier Neural Attention.

Jingshuai Liu, Chen Qin, Mehrdad Yaghoobi

IEEE Trans. Computational Imaging, 2024

TIP: Tabular-Image Pre-training for Multimodal Classification with Incomplete Data.

Siyi Du, Shaoming Zheng, Yinsong Wang, Wenjia Bai, Declan P. O'Regan, Chen Qin

CoRR, 2024

CMRxRecon2024: A Multi-Modality, Multi-View K-Space Dataset Boosting Universal Machine Learning for Accelerated Cardiac MRI.

Zi Wang, Fanwen Wang, Chen Qin, Jun Lyu, Ouyang Cheng, Shuo Wang, Yan Li, Mengyao Yu, Haoyu Zhang, Kunyuan Guo, Zhang Shi, Qirong Li, Ziqiang Xu, Yajing Zhang, Hao Li, Sha Hua, Binghua Chen, Longyu Sun, Mengting Sun, Qin Li, Ying-Hua Chu, Wenjia Bai, Jing Qin, Xiahai Zhuang, Claudia Prieto, Alistair A. Young, Michael Markl, He Wang, Lianming Wu, Guang Yang, Xiaobo Qu, Chengyan Wang

CoRR, 2024

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

Yifan Wu, Mengjin Dong, Rohit Jena, Chen Qin, James C. Gee

CoRR, 2024

CAR: Contrast-Agnostic Deformable Medical Image Registration with Contrast-Invariant Latent Regularization.

Yinsong Wang, Siyi Du, Shaoming Zheng, Xinzhe Luo, Chen Qin

Proceedings of the Biomedical Image Registration - 11th International Workshop, 2024

SGSR: Structure-Guided Multi-contrast MRI Super-Resolution via Spatio-Frequency Co-Query Attention.

Shaoming Zheng, Yinsong Wang, Siyi Du, Chen Qin

Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

Inference Stage Denoising for Undersampled MRI Reconstruction.

Yuyang Xue, Chen Qin, Sotirios A. Tsaftaris

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation.

Zeju Li, Konstantinos Kamnitsas, Qi Dou, Chen Qin, Ben Glocker

IEEE Trans. Medical Imaging, November, 2023

Causality-Inspired Single-Source Domain Generalization for Medical Image Segmentation.

Cheng Ouyang, Chen Chen, Surui Li, Zeju Li, Chen Qin, Wenjia Bai, Daniel Rueckert

IEEE Trans. Medical Imaging, April, 2023

Region-focused multi-view transformer-based generative adversarial network for cardiac cine MRI reconstruction.

Jun Lyu, Guangyuan Li, Chengyan Wang, Chen Qin, Shuo Wang, Qi Dou, Jing Qin

Medical Image Anal., April, 2023

High-Fidelity MRI Reconstruction Using Adaptive Spatial Attention Selection and Deep Data Consistency Prior.

Jingshuai Liu, Chen Qin, Mehrdad Yaghoobi

IEEE Trans. Computational Imaging, 2023

Generative myocardial motion tracking via latent space exploration with biomechanics-informed prior.

Chen Qin, Shuo Wang, Chen Chen, Wenjia Bai, Daniel Rueckert

Medical Image Anal., 2023

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

Hollan Haule, Ian Piper, Patricia Jones, Chen Qin, Tsz-Yan Milly Lo, Javier Escudero

CoRR, 2023

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

Chengyan Wang, Jun Lyu, Shuo Wang, Chen Qin, Kunyuan Guo, Xinyu Zhang, Xiaotong Yu, Yan Li, Fanwen Wang, Jianhua Jin, Zhang Shi, Ziqiang Xu, Yapeng Tian, Sha Hua, Zhensen Chen, Meng Liu, Mengting Sun, Xutong Kuang, Kang Wang, Haoran Wang, Hao Li, Ying-Hua Chu, Guang Yang, Wenjia Bai, Xiahai Zhuang, He Wang, Jing Qin, Xiaobo Qu

CoRR, 2023

Conditional Deformable Image Registration with Spatially-Variant and Adaptive Regularization.

Yinsong Wang, Huaqi Qiu, Chen Qin

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

MulViMotion: Shape-Aware 3D Myocardial Motion Tracking From Multi-View Cardiac MRI.

Qingjie Meng, Chen Qin, Wenjia Bai, Tianrui Liu, Antonio de Marvao, Declan P. O'Regan, Daniel Rueckert

IEEE Trans. Medical Imaging, 2022

Enhancing MR image segmentation with realistic adversarial data augmentation.

Chen Chen, Chen Qin, Cheng Ouyang, Zeju Li, Shuo Wang, Huaqi Qiu, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert

Medical Image Anal., 2022

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

Shuo Wang, Chen Qin, Chengyan Wang, Kang Wang, Haoran Wang, Chen Chen, Cheng Ouyang, Xutong Kuang, Chengliang Dai, Yuanhan Mo, Zhang Shi, Chenchen Dai, Xinrong Chen, He Wang, Wenjia Bai

CoRR, 2022

Artificial Intelligence-Based Image Reconstruction in Cardiac Magnetic Resonance.

Chen Qin, Daniel Rueckert

CoRR, 2022

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

Tian Xia, Pedro Sanchez, Chen Qin, Sotirios A. Tsaftaris

CoRR, 2022

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

Hollan Haule, Evangelos Kafantaris, Tsz-Yan Milly Lo, Chen Qin, Javier Escudero

CoRR, 2022

Embedding Gradient-Based Optimization in Image Registration Networks.

Huaqi Qiu, Kerstin Hammernik, Chen Qin, Chen Chen, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Region-Guided Channel-Wise Attention Network for Accelerated MRI Reconstruction.

Jingshuai Liu, Chen Qin, Mehrdad Yaghoobi

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.

Jingshuai Liu, Chen Qin, Mehrdad Yaghoobi

Proceedings of the Machine Learning for Medical Image Reconstruction, 2022

Multi-Group Multicast Beamforming in LEO Satellite Communications.

Dapeng Wu, Chen Qin, Yaping Cui, Peng He, Ruyan Wang

Proceedings of the IEEE Global Communications Conference, 2022

Coil-Agnostic Attention-Based Network for Parallel MRI Reconstruction.

Jingshuai Liu, Chen Qin, Mehrdad Yaghoobi

Proceedings of the Computer Vision - ACCV 2022, 2022

2021

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

Huaqi Qiu, Kerstin Hammernik, Chen Qin, Daniel Rueckert

CoRR, 2021

Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation.

Chen Chen, Chen Qin, Cheng Ouyang, Shuo Wang, Huaqi Qiu, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert

CoRR, 2021

Learning Diffeomorphic and Modality-invariant Registration using B-splines.

Huaqi Qiu, Chen Qin, Andreas Schuh, Kerstin Hammernik, Daniel Rueckert

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.

Shuo Wang, Chen Qin, Nicoló Savioli, Chen Chen, Declan P. O'Regan, Stuart A. Cook, Yike Guo, Daniel Rueckert, Wenjia Bai

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge.

Patricia M. Johnson, Geunu Jeong, Kerstin Hammernik, Jo Schlemper, Chen Qin, Jinming Duan, Daniel Rueckert, Jingu Lee, Nicola Pezzotti, Elwin de Weerdt, Sahar Yousefi, Mohamed S. Elmahdy, Jeroen Hendrikus Franciscus Van Gemert, Christophe Schülke, Mariya Doneva, Tim Nielsen, Sergey Kastryulin, Boudewijn P. F. Lelieveldt, Matthias J. P. van Osch, Marius Staring, Eric Z. Chen, Puyang Wang, Xiao Chen, Terrence Chen, Vishal M. Patel, Shanhui Sun, Hyungseob Shin, Yohan Jun, Taejoon Eo, Sewon Kim, Taeseong Kim, Dosik Hwang, Patrick Putzky, Dimitrios Karkalousos, Jonas Teuwen, Nikita Miriakov, Bart Bakker, Matthan W. A. Caan, Max Welling, Matthew J. Muckley, Florian Knoll

Proceedings of the Machine Learning for Medical Image Reconstruction, 2021

Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation.

Chen Chen, Kerstin Hammernik, Cheng Ouyang, Chen Qin, Wenjia Bai, Daniel Rueckert

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.

Shuang Li, Mixue Xie, Fangrui Lv, Chi Harold Liu, Jian Liang, Chen Qin, Wei Li

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.

Chen Qin, Shaopeng Liu, Shengxiang Lin, Guangzhe Li, Jiaming Hong

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.

Jiaming Hong, Chen Qin, Yun Huang, Yin Zhou

Proceedings of the Data Mining and Big Data - 6th International Conference, 2021

Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation.

Shuang Li, Fangrui Lv, Binhui Xie, Chi Harold Liu, Jian Liang, Chen Qin

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Deep Network Interpolation for Accelerated Parallel MR Image Reconstruction.

Chen Qin, Jo Schlemper, Kerstin Hammernik, Jinming Duan, Ronald M. Summers, Daniel Rueckert

CoRR, 2020

Going Deeper into Cardiac Motion Analysis to Model Fine Spatio-Temporal Features.

Ping Lu, Huaqi Qiu, Chen Qin, Wenjia Bai, Daniel Rueckert, J. Alison Noble

Proceedings of the Medical Image Understanding and Analysis - 24th Annual Conference, 2020

Deep Generative Model-Based Quality Control for Cardiac MRI Segmentation.

Shuo Wang, Giacomo Tarroni, Chen Qin, Yuanhan Mo, Chengliang Dai, Chen Chen, Ben Glocker, Yike Guo, Daniel Rueckert, Wenjia Bai

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Biomechanics-Informed Neural Networks for Myocardial Motion Tracking in MRI.

Chen Qin, Shuo Wang, Chen Chen, Huaqi Qiu, Wenjia Bai, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Realistic Adversarial Data Augmentation for MR Image Segmentation.

Chen Chen, Chen Qin, Huaqi Qiu, Cheng Ouyang, Shuo Wang, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction.

Chen Qin, Jo Schlemper, Jose Caballero, Anthony N. Price, Joseph V. Hajnal, Daniel Rueckert

IEEE Trans. Medical Imaging, 2019

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

Kerstin Hammernik, Jo Schlemper, Chen Qin, Jinming Duan, Ronald M. Summers, Daniel Rueckert

CoRR, 2019

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

Jo Schlemper, Chen Qin, Jinming Duan, Ronald M. Summers, Kerstin Hammernik

CoRR, 2019

Deep learning for cardiac image segmentation: A review.

Chen Chen, Chen Qin, Huaqi Qiu, Giacomo Tarroni, Jinming Duan, Wenjia Bai, Daniel Rueckert

CoRR, 2019

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

Jo Schlemper, Jinming Duan, Cheng Ouyang, Chen Qin, Jose Caballero, Joseph V. Hajnal, Daniel Rueckert

CoRR, 2019

Exploiting Motion for Deep Learning Reconstruction of Extremely-Undersampled Dynamic MRI.

Gavin Seegoolam, Jo Schlemper, Chen Qin, Anthony Price, Joseph V. Hajnal, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Deep Learning for Cardiac Motion Estimation: Supervised vs. Unsupervised Training.

Huaqi Qiu, Chen Qin, Loïc Le Folgoc, Benjamin Hou, Jo Schlemper, Daniel Rueckert

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.

Chen Qin, Jo Schlemper, Jinming Duan, Gavin Seegoolam, Anthony Price, Joseph V. Hajnal, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

VS-Net: Variable Splitting Network for Accelerated Parallel MRI Reconstruction.

Jinming Duan, Jo Schlemper, Chen Qin, Cheng Ouyang, Wenjia Bai, Carlo Biffi, Ghalib Bello, Ben Statton, Declan P. O'Regan, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Unsupervised Deformable Registration for Multi-modal Images via Disentangled Representations.

Chen Qin, Bibo Shi, Rui Liao, Tommaso Mansi, Daniel Rueckert, Ali Kamen

Proceedings of the Information Processing in Medical Imaging, 2019

2018

A large margin algorithm for automated segmentation of white matter hyperintensity.

Chen Qin, Ricardo Guerrero, Christopher Bowles, Liang Chen, David Alexander Dickie, Maria del C. Valdés Hernández, Joanna M. Wardlaw, Daniel Rueckert

Pattern Recognit., 2018

A Hybrid Massive MIMO Jammer for TDD Point-to-Point Link.

Tong Yue, Aijun Liu, Kui Xu, Chen Qin

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.

Jo Schlemper, Ozan Oktay, Wenjia Bai, Daniel Coelho de Castro, Jinming Duan, Chen Qin, Joseph V. Hajnal, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Bayesian Deep Learning for Accelerated MR Image Reconstruction.

Jo Schlemper, Daniel Coelho de Castro, Wenjia Bai, Chen Qin, Ozan Oktay, Jinming Duan, Anthony N. Price, Joseph V. Hajnal, Daniel Rueckert

Proceedings of the Machine Learning for Medical Image Reconstruction, 2018

Joint Motion Estimation and Segmentation from Undersampled Cardiac MR Image.

Chen Qin, Wenjia Bai, Jo Schlemper, Steffen E. Petersen, Stefan K. Piechnik, Stefan Neubauer, Daniel Rueckert

Proceedings of the Machine Learning for Medical Image Reconstruction, 2018

Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences.

Chen Qin, Wenjia Bai, Jo Schlemper, Steffen E. Petersen, Stefan K. Piechnik, Stefan Neubauer, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Recurrent Neural Networks for Aortic Image Sequence Segmentation with Sparse Annotations.

Wenjia Bai, Hideaki Suzuki, Chen Qin, Giacomo Tarroni, Ozan Oktay, Paul M. Matthews, Daniel Rueckert

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.

Chen Qin, Ricardo Guerrero Moreno, Christopher Bowles, Christian Ledig, Philip Scheltens, Frederik Barkhof, Hanneke Rhodius-Meester, Betty M. Tijms, Afina W. Lemstra, Wiesje M. van der Flier, Ben Glocker, Daniel Rueckert

Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016

Pseudo-healthy Image Synthesis for White Matter Lesion Segmentation.

Christopher Bowles, Chen Qin, Christian Ledig, Ricardo Guerrero, Roger N. Gunn, Alexander Hammers, Eleni Sakka, David Alexander Dickie, Maria del C. Valdés Hernández, Natalie A. Royle, Joanna M. Wardlaw, Hanneke Rhodius-Meester, Betty M. Tijms, Afina W. Lemstra, Wiesje M. van der Flier, Frederik Barkhof, Philip Scheltens, Daniel Rueckert

Proceedings of the Simulation and Synthesis in Medical Imaging, 2016

2015

Unsupervised neighborhood component analysis for clustering.

Chen Qin, Shiji Song, Gao Huang, Lei Zhu

Neurocomputing, 2015

2014

Non-linear neighborhood component analysis based on constructive neural networks.

Chen Qin, Shiji Song, Gao Huang

Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Mathematical Model of a Three-Dimensional Optical Interconnection Network.

Chao Peng, Jia Lu, Lewen Zhou, Chen Qin, Longfei Guo, Wenhua Dou

Proceedings of the 9th IEEE International Conference on Networking, 2014

2013

Capability Exchange: Improving Access Control Usability in Health IT.

Chen Qin, Emily Freebairn, Sean Smith

Proceedings of the 2013 USENIX Workshop on Health Information Technologies, 2013

2010

The Interaction of Community and Tourism: Dual Structure and Kuznets Hypothesis.

Zhifei Li, Chen Qin

Proceedings of the International Conference on E-Business and E-Government, 2010

Application of a Combination Forecasting Model in Logistics Parks' Demand.

Chen Qin, Qi Ming

Proceedings of the International Conference on E-Business and E-Government, 2010