Chen Qin

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 78

Top Topics

Image Reconstruction

Myocardial Motion

Top Venues

IEEE Trans. Medical Imaging

Publications

Yuyang Xue, Chen Qin, Sotirios A. Tsaftaris
Inference Stage Denoising for Undersampled MRI Reconstruction. CoRR (2024)
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
CMRxRecon2024: A Multi-Modality, Multi-View K-Space Dataset Boosting Universal Machine Learning for Accelerated Cardiac MRI. CoRR (2024)
Jingshuai Liu, Chen Qin, Mehrdad Yaghoobi
Deep Network Cascade for Dynamic Cardiac MRI Reconstruction With Motion Feature Incorporation and the Fourier Neural Attention. IEEE Trans. Computational Imaging 10 (2024)
Dapeng Wu, Chen Qin, Yaping Cui, Peng He, Ruyan Wang
Space-Ground Multicast Group Control for Multiuser LEO Satellite Networks. IEEE Trans. Wirel. Commun. 23 (2) (2024)
Yifan Wu, Mengjin Dong, Rohit Jena, Chen Qin, James C. Gee
Neural Ordinary Differential Equation based Sequential Image Registration for Dynamic Characterization. CoRR (2024)
Siyi Du, Shaoming Zheng, Yinsong Wang, Wenjia Bai, Declan P. O'Regan, Chen Qin
TIP: Tabular-Image Pre-training for Multimodal Classification with Incomplete Data. CoRR (2024)
Cheng Ouyang, Chen Chen, Surui Li, Zeju Li, Chen Qin, Wenjia Bai, Daniel Rueckert
Causality-Inspired Single-Source Domain Generalization for Medical Image Segmentation. IEEE Trans. Medical Imaging 42 (4) (2023)
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
CMRxRecon: An open cardiac MRI dataset for the competition of accelerated image reconstruction. CoRR (2023)
Yinsong Wang, Huaqi Qiu, Chen Qin
Conditional Deformable Image Registration with Spatially-Variant and Adaptive Regularization. CoRR (2023)
Zeju Li, Konstantinos Kamnitsas, Qi Dou, Chen Qin, Ben Glocker
Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation. IEEE Trans. Medical Imaging 42 (11) (2023)
Chen Qin, Shuo Wang, Chen Chen, Wenjia Bai, Daniel Rueckert
Generative myocardial motion tracking via latent space exploration with biomechanics-informed prior. Medical Image Anal. 83 (2023)
Yinsong Wang, Huaqi Qiu, Chen Qin
Conditional Deformable Image Registration with Spatially-Variant and Adaptive Regularization. ISBI (2023)
Zeju Li, Konstantinos Kamnitsas, Qi Dou, Chen Qin, Ben Glocker
Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation. CoRR (2023)
Jingshuai Liu, Chen Qin, Mehrdad Yaghoobi
High-Fidelity MRI Reconstruction Using Adaptive Spatial Attention Selection and Deep Data Consistency Prior. IEEE Trans. Computational Imaging 9 (2023)
Jun Lyu, Guangyuan Li, Chengyan Wang, Chen Qin, Shuo Wang, Qi Dou, Jing Qin
Region-focused multi-view transformer-based generative adversarial network for cardiac cine MRI reconstruction. Medical Image Anal. 85 (2023)
Hollan Haule, Ian Piper, Patricia Jones, Chen Qin, Tsz-Yan Milly Lo, Javier Escudero
VAE-IF: Deep feature extraction with averaging for unsupervised artifact detection in routine acquired ICU time-series. CoRR (2023)
Chen Qin, Daniel Rueckert
Artificial Intelligence-Based Image Reconstruction in Cardiac Magnetic Resonance. CoRR (2022)
Jingshuai Liu, Chen Qin, Mehrdad Yaghoobi
Coil-Agnostic Attention-Based Network for Parallel MRI Reconstruction. ACCV (6) (2022)
Hollan Haule, Evangelos Kafantaris, Tsz-Yan Milly Lo, Chen Qin, Javier Escudero
Hybrid Artifact Detection System for Minute Resolution Blood Pressure Signals from ICU. CoRR (2022)
Tian Xia, Pedro Sanchez, Chen Qin, Sotirios A. Tsaftaris
Adversarial Counterfactual Augmentation: Application in Alzheimer's Disease Classification. CoRR (2022)
Huaqi Qiu, Kerstin Hammernik, Chen Qin, Chen Chen, Daniel Rueckert
Embedding Gradient-Based Optimization in Image Registration Networks. MICCAI (6) (2022)
Qingjie Meng, Chen Qin, Wenjia Bai, Tianrui Liu, Antonio de Marvao, Declan P. O'Regan, Daniel Rueckert
MulViMotion: Shape-aware 3D Myocardial Motion Tracking from Multi-View Cardiac MRI. CoRR (2022)
Chen Qin, Shuo Wang, Chen Chen, Wenjia Bai, Daniel Rueckert
Generative Myocardial Motion Tracking via Latent Space Exploration with Biomechanics-informed Prior. CoRR (2022)
Jingshuai Liu, Chen Qin, Mehrdad Yaghoobi
Region-Guided Channel-Wise Attention Network for Accelerated MRI Reconstruction. MLMI@MICCAI (2022)
Chen Chen, Chen Qin, Cheng Ouyang, Zeju Li, Shuo Wang, Huaqi Qiu, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert
Enhancing MR image segmentation with realistic adversarial data augmentation. Medical Image Anal. 82 (2022)
Qingjie Meng, Chen Qin, Wenjia Bai, Tianrui Liu, Antonio de Marvao, Declan P. O'Regan, Daniel Rueckert
MulViMotion: Shape-Aware 3D Myocardial Motion Tracking From Multi-View Cardiac MRI. IEEE Trans. Medical Imaging 41 (8) (2022)
Jingshuai Liu, Chen Qin, Mehrdad Yaghoobi
High-Fidelity MRI Reconstruction with the Densely Connected Network Cascade and Feature Residual Data Consistency Priors. MLMIR@MICCAI (2022)
Dapeng Wu, Chen Qin, Yaping Cui, Peng He, Ruyan Wang
Multi-Group Multicast Beamforming in LEO Satellite Communications. GLOBECOM (2022)
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
The Extreme Cardiac MRI Analysis Challenge under Respiratory Motion (CMRxMotion). CoRR (2022)
Huaqi Qiu, Chen Qin, Andreas Schuh, Kerstin Hammernik, Daniel Rueckert
Learning Diffeomorphic and Modality-invariant Registration using B-splines. MIDL (2021)
Shuo Wang, Chen Qin, Nicoló Savioli, Chen Chen, Declan P. O'Regan, Stuart A. Cook, Yike Guo, Daniel Rueckert, Wenjia Bai
Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation. MICCAI (3) (2021)
Chen Chen, Chen Qin, Cheng Ouyang, Shuo Wang, Huaqi Qiu, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert
Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation. CoRR (2021)
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
Evaluation of the Robustness of Learned MR Image Reconstruction to Systematic Deviations Between Training and Test Data for the Models from the fastMRI Challenge. MLMIR@MICCAI (2021)
Shuang Li, Fangrui Lv, Binhui Xie, Chi Harold Liu, Jian Liang, Chen Qin
Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation. AAAI (2021)
Jiaming Hong, Chen Qin, Yun Huang, Yin Zhou
Towards Making More Reliable Cardiotocogram Data Prediction with Limited Expert Knowledge: Exploiting Unlabeled Data with Semi-supervised Boosting Method. DMBD (1) (2021)
Cheng Ouyang, Chen Chen, Surui Li, Zeju Li, Chen Qin, Wenjia Bai, Daniel Rueckert
Causality-inspired Single-source Domain Generalization for Medical Image Segmentation. CoRR (2021)
Chen Chen, Kerstin Hammernik, Cheng Ouyang, Chen Qin, Wenjia Bai, Daniel Rueckert
Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation. CoRR (2021)
Chen Qin, Shaopeng Liu, Shengxiang Lin, Guangzhe Li, Jiaming Hong
A Class Imbalance Monitoring Model for Fetal Heart Contractions Based on Gradient Boosting Decision Tree Ensemble Learning. DMBD (2) (2021)
Shuang Li, Mixue Xie, Fangrui Lv, Chi Harold Liu, Jian Liang, Chen Qin, Wei Li
Semantic Concentration for Domain Adaptation. CoRR (2021)
Shuang Li, Mixue Xie, Fangrui Lv, Chi Harold Liu, Jian Liang, Chen Qin, Wei Li
Semantic Concentration for Domain Adaptation. ICCV (2021)
Shuo Wang, Chen Qin, Nicoló Savioli, Chen Chen, Declan P. O'Regan, Stuart A. Cook, Yike Guo, Daniel Rueckert, Wenjia Bai
Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation. CoRR (2021)
Huaqi Qiu, Kerstin Hammernik, Chen Qin, Daniel Rueckert
GraDIRN: Learning Iterative Gradient Descent-based Energy Minimization for Deformable Image Registration. CoRR (2021)
Chen Chen, Kerstin Hammernik, Cheng Ouyang, Chen Qin, Wenjia Bai, Daniel Rueckert
Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation. MICCAI (3) (2021)
Chen Chen, Chen Qin, Huaqi Qiu, Cheng Ouyang, Shuo Wang, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert
Realistic Adversarial Data Augmentation for MR Image Segmentation. CoRR (2020)
Shuang Li, Fangrui Lv, Binhui Xie, Chi Harold Liu, Jian Liang, Chen Qin
Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation. CoRR (2020)
Chen Qin, Shuo Wang, Chen Chen, Huaqi Qiu, Wenjia Bai, Daniel Rueckert
Biomechanics-informed Neural Networks for Myocardial Motion Tracking in MRI. CoRR (2020)
Chen Chen, Chen Qin, Huaqi Qiu, Cheng Ouyang, Shuo Wang, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert
Realistic Adversarial Data Augmentation for MR Image Segmentation. MICCAI (1) (2020)
Chen Qin, Shuo Wang, Chen Chen, Huaqi Qiu, Wenjia Bai, Daniel Rueckert
Biomechanics-Informed Neural Networks for Myocardial Motion Tracking in MRI. MICCAI (3) (2020)
Shuo Wang, Giacomo Tarroni, Chen Qin, Yuanhan Mo, Chengliang Dai, Chen Chen, Ben Glocker, Yike Guo, Daniel Rueckert, Wenjia Bai
Deep Generative Model-Based Quality Control for Cardiac MRI Segmentation. MICCAI (4) (2020)
Ping Lu, Huaqi Qiu, Chen Qin, Wenjia Bai, Daniel Rueckert, J. Alison Noble
Going Deeper into Cardiac Motion Analysis to Model Fine Spatio-Temporal Features. MIUA (2020)
Chen Qin, Jo Schlemper, Kerstin Hammernik, Jinming Duan, Ronald M. Summers, Daniel Rueckert
Deep Network Interpolation for Accelerated Parallel MR Image Reconstruction. CoRR (2020)
Shuo Wang, Giacomo Tarroni, Chen Qin, Yuanhan Mo, Chengliang Dai, Chen Chen, Ben Glocker, Yike Guo, Daniel Rueckert, Wenjia Bai
Deep Generative Model-based Quality Control for Cardiac MRI Segmentation. CoRR (2020)
Jo Schlemper, Jinming Duan, Cheng Ouyang, Chen Qin, Jose Caballero, Joseph V. Hajnal, Daniel Rueckert
Data consistency networks for (calibration-less) accelerated parallel MR image reconstruction. CoRR (2019)
Kerstin Hammernik, Jo Schlemper, Chen Qin, Jinming Duan, Ronald M. Summers, Daniel Rueckert
Σ-net: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction. CoRR (2019)
Jinming Duan, Jo Schlemper, Chen Qin, Cheng Ouyang, Wenjia Bai, Carlo Biffi, Ghalib Bello, Ben Statton, Declan P. O'Regan, Daniel Rueckert
VS-Net: Variable splitting network for accelerated parallel MRI reconstruction. CoRR (2019)
Chen Qin, Jo Schlemper, Jose Caballero, Anthony N. Price, Joseph V. Hajnal, Daniel Rueckert
Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction. IEEE Trans. Medical Imaging 38 (1) (2019)
Jinming Duan, Jo Schlemper, Chen Qin, Cheng Ouyang, Wenjia Bai, Carlo Biffi, Ghalib Bello, Ben Statton, Declan P. O'Regan, Daniel Rueckert
VS-Net: Variable Splitting Network for Accelerated Parallel MRI Reconstruction. MICCAI (4) (2019)
Gavin Seegoolam, Jo Schlemper, Chen Qin, Anthony Price, Joseph V. Hajnal, Daniel Rueckert
Exploiting Motion for Deep Learning Reconstruction of Extremely-Undersampled Dynamic MRI. MICCAI (4) (2019)
Chen Qin, Bibo Shi, Rui Liao, Tommaso Mansi, Daniel Rueckert, Ali Kamen
Unsupervised Deformable Registration for Multi-Modal Images via Disentangled Representations. CoRR (2019)
Huaqi Qiu, Chen Qin, Loïc Le Folgoc, Benjamin Hou, Jo Schlemper, Daniel Rueckert
Deep Learning for Cardiac Motion Estimation: Supervised vs. Unsupervised Training. STACOM@MICCAI (2019)
Chen Qin, Jo Schlemper, Jinming Duan, Gavin Seegoolam, Anthony Price, Joseph V. Hajnal, Daniel Rueckert
k-t NEXT: Dynamic MR Image Reconstruction Exploiting Spatio-temporal Correlations. CoRR (2019)
Chen Qin, Wenjia Bai, Jo Schlemper, Steffen E. Petersen, Stefan K. Piechnik, Stefan Neubauer, Daniel Rueckert
Joint Motion Estimation and Segmentation from Undersampled Cardiac MR Image. CoRR (2019)
Chen Qin, Bibo Shi, Rui Liao, Tommaso Mansi, Daniel Rueckert, Ali Kamen
Unsupervised Deformable Registration for Multi-modal Images via Disentangled Representations. IPMI (2019)
Jo Schlemper, Chen Qin, Jinming Duan, Ronald M. Summers, Kerstin Hammernik
Σ-net: Ensembled Iterative Deep Neural Networks for Accelerated Parallel MR Image Reconstruction. CoRR (2019)
Chen Chen, Chen Qin, Huaqi Qiu, Giacomo Tarroni, Jinming Duan, Wenjia Bai, Daniel Rueckert
Deep learning for cardiac image segmentation: A review. CoRR (2019)
Chen Qin, Jo Schlemper, Jinming Duan, Gavin Seegoolam, Anthony Price, Joseph V. Hajnal, Daniel Rueckert
k-t NEXT: Dynamic MR Image Reconstruction Exploiting Spatio-Temporal Correlations. MICCAI (2) (2019)
Chen Qin, Wenjia Bai, Jo Schlemper, Steffen E. Petersen, Stefan K. Piechnik, Stefan Neubauer, Daniel Rueckert
Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences. CoRR (2018)
Wenjia Bai, Hideaki Suzuki, Chen Qin, Giacomo Tarroni, Ozan Oktay, Paul M. Matthews, Daniel Rueckert
Recurrent neural networks for aortic image sequence segmentation with sparse annotations. CoRR (2018)
Chen Qin, Wenjia Bai, Jo Schlemper, Steffen E. Petersen, Stefan K. Piechnik, Stefan Neubauer, Daniel Rueckert
Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences. MICCAI (2) (2018)
Chen Qin, Ricardo Guerrero, Christopher Bowles, Liang Chen, David Alexander Dickie, Maria del C. Valdés Hernández, Joanna M. Wardlaw, Daniel Rueckert
A large margin algorithm for automated segmentation of white matter hyperintensity. Pattern Recognit. 77 (2018)
Tong Yue, Aijun Liu, Kui Xu, Chen Qin
A Hybrid Massive MIMO Jammer for TDD Point-to-Point Link. WCSP (2018)
Jo Schlemper, Daniel Coelho de Castro, Wenjia Bai, Chen Qin, Ozan Oktay, Jinming Duan, Anthony N. Price, Joseph V. Hajnal, Daniel Rueckert
Bayesian Deep Learning for Accelerated MR Image Reconstruction. MLMIR@MICCAI (2018)
Jo Schlemper, Ozan Oktay, Wenjia Bai, Daniel Coelho de Castro, Jinming Duan, Chen Qin, Joseph V. Hajnal, Daniel Rueckert
Cardiac MR Segmentation from Undersampled k-space Using Deep Latent Representation Learning. MICCAI (1) (2018)
Chen Qin, Wenjia Bai, Jo Schlemper, Steffen E. Petersen, Stefan K. Piechnik, Stefan Neubauer, Daniel Rueckert
Joint Motion Estimation and Segmentation from Undersampled Cardiac MR Image. MLMIR@MICCAI (2018)
Wenjia Bai, Hideaki Suzuki, Chen Qin, Giacomo Tarroni, Ozan Oktay, Paul M. Matthews, Daniel Rueckert
Recurrent Neural Networks for Aortic Image Sequence Segmentation with Sparse Annotations. MICCAI (4) (2018)
Chen Qin, Jo Schlemper, Jose Caballero, Anthony Price, Joseph V. Hajnal, Daniel Rueckert
Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction. CoRR (2017)
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
A Semi-supervised Large Margin Algorithm for White Matter Hyperintensity Segmentation. MLMI@MICCAI (2016)
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
Pseudo-healthy Image Synthesis for White Matter Lesion Segmentation. SASHIMI@MICCAI (2016)
Chen Qin, Shiji Song, Gao Huang, Lei Zhu
Unsupervised neighborhood component analysis for clustering. Neurocomputing 168 (2015)
Chao Peng, Jia Lu, Lewen Zhou, Chen Qin, Longfei Guo, Wenhua Dou
Mathematical Model of a Three-Dimensional Optical Interconnection Network. NAS (2014)
Chen Qin, Shiji Song, Gao Huang
Non-linear neighborhood component analysis based on constructive neural networks. SMC (2014)
Chen Qin, Emily Freebairn, Sean Smith
Capability Exchange: Improving Access Control Usability in Health IT. HealthTech (2013)
Zhifei Li, Chen Qin
The Interaction of Community and Tourism: Dual Structure and Kuznets Hypothesis. ICEE (2010)
Chen Qin, Qi Ming
Application of a Combination Forecasting Model in Logistics Parks' Demand. ICEE (2010)