Chen Qin - RankMe

118 papers A* 3B 2C 1Journal 64Unranked 39

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive Conditional Contrast-Agnostic Deformable Image Registration with Uncertainty Estimation. CoRR Yinsong Wang, Xinzhe Luo, Siyi Du, Chen Qin
2026	J	`jnl`	Extreme cardiac MRI analysis under respiratory motion: Results of the CMRxMotion challenge. Medical Image Anal. Kang Wang, Chen Qin, Zhang Shi, Haoran Wang, Xiwen Zhang, Chen Chen, Cheng Ouyang, Chengliang Dai, Yuanhan Mo, Chenchen Dai, Xutong Kuang, Ruizhe Li, Xin Chen, Xiuzheng Yue, Song Tian, Alejandro Mora-Rubio, Kumaradevan Punithakumar, Shizhan Gong, Qi Dou, Sina Amirrajab, Yasmina Al Khalil, Cian M. Scannell, Lexiaozi Fan, Huili Yang, Xiaowu Sun, Rob J. van der Geest, Tewodros Weldebirhan Arega, Fabrice Mériaudeau, Caner Özer, Amin Ranem, John Kalkhof, Ilkay Öksüz, Anirban Mukhopadhyay, Abdul Qayyum, Moona Mazher, Steven A. Niederer, Carles García-Cabrera, Eric Arazo, Michal K. Grzeszczyk, Szymon Plotka, Wanqin Ma, Xiaomeng Li, Rongjun Ge, Yongqing Kou, Xinrong Chen, He Wang, Chengyan Wang, Wenjia Bai, Shuo Wang
2026	J	`jnl`	Inference-Time Dynamic Modality Selection for Incomplete Multimodal Classification. CoRR Siyi Du, Xinzhe Luo, Declan P. O'Regan, Chen Qin
2026	—	`ed.`	Reconstruction and Imaging Motion Estimation, and Graphs in Biomedical Image Analysis - First International Workshop, RIME 2025, and 7th International Workshop, GRAIL 2025, Daejeon, South Korea, September 27, 2025, Proceedings GRAIL/RIME@MICCAI Lina Felsner, Thomas Küstner, Andreas Maier, Chen Qin, Seyed-Ahmad Ahmadi, Anees Kazi, Xiaoling Hu
2026	J	`jnl`	Self-Supervised Slice-to-Volume Reconstruction with Gaussian Representations for Fetal MRI. CoRR Yinsong Wang, Thomas Fletcher, Xinzhe Luo, Aine Travers Dineen, Rhodri Cusack, Chen Qin
2026	—	`ed.`	Uncertainty for Safe Utilization of Machine Learning in Medical Imaging - 7th International Workshop, UNSURE 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 27, 2025, Proceedings UNSURE@MICCAI Carole H. Sudre, Mobarak I. Hoque, Raghav Mehta, Cheng Ouyang, Chen Qin, Marianne Rakic, William M. Wells
2025	C	`conf`	A Wavelet-based Image Coding Framework for Data Storage on DNA. VCIP Chen Qin, Yuanchao Bai, Wenbo Zhao, Xianming Liu
2025	J	`jnl`	Balancing efficiency and accuracy: Extreme gradient boosting and neural networks for near real-time brain deformation prediction in sports collisions. Eng. Appl. Artif. Intell. Emily Yik Kwan Chan, Xiancheng Yu, Chen Qin, Mazdak Ghajari
2025	J	`jnl`	Enabling Ultra-Fast Cardiovascular Imaging Across Heterogeneous Clinical Environments with a Generalist Foundation Model and Multimodal Database. CoRR Zi Wang, Mingkai Huang, Zhang Shi, Hongjie Hu, Lan Lan, Hui Zhang, Yan Li, Xi Hu, Qing Lu, Zongming Zhu, Qiong Yao, Yuxiang Dai, Fanwen Wang, Yinzhe Wu, Jun Lyu, Qianqian Gao, Guangming Xu, Zhenxuan Zhang, Haosen Zhang, Qing Li, Guangming Wang, Tianxing He, Lizhen Lan, Siyue Li, Le Xue, Mengting Sun, Yuntong Lyu, Junpu Hu, Jiayu Zhu, Rizwan Ahmad, Zhengyu Bu, Xianling Qian, Guanke Cai, Ruiyu Cao, Weirui Cai, Chang Xu, Yuyang Ren, Feidan Yu, Siying Ma, Ziqiang Xu, Xinran Chen, Sha Hua, Daniel Kim, Yajing Zhang, Chen Ouyang, Wenjia Bai, Jing Qin, Yucheng Yang, Daniel Rueckert, He Wang, Qian Tao, Claudia Prieto, Michael Markl, Alistair A. Young, Lianming Wu, Shuo Wang, Chen Qin, Mengsu Zeng, Xihong Hu, Haibo Xu, Xiaobo Qu, Hao Li, Guang Yang, Chengyan Wang
2025	J	`jnl`	Extreme Cardiac MRI Analysis under Respiratory Motion: Results of the CMRxMotion Challenge. CoRR Kang Wang, Chen Qin, Zhang Shi, Haoran Wang, Xiwen Zhang, Chen Chen, Cheng Ouyang, Chengliang Dai, Yuanhan Mo, Chenchen Dai, Xutong Kuang, Ruizhe Li, Xin Chen, Xiuzheng Yue, Song Tian, Alejandro Mora-Rubio, Kumaradevan Punithakumar, Shizhan Gong, Qi Dou, Sina Amirrajab, Yasmina Al Khalil, Cian M. Scannell, Lexiaozi Fan, Huili Yang, Xiaowu Sun, Rob J. van der Geest, Tewodros Weldebirhan Arega, Fabrice Mériaudeau, Caner Özer, Amin Ranem, John Kalkhof, Ilkay Öksüz, Anirban Mukhopadhyay, Abdul Qayyum, Moona Mazher, Steven A. Niederer, Carles García-Cabrera, Eric Arazo, Michal K. Grzeszczyk, Szymon Plotka, Wanqin Ma, Xiaomeng Li, Rongjun Ge, Yongqing Kou, Xinrong Chen, He Wang, Chengyan Wang, Wenjia Bai, Shuo Wang
2025	A*	`conf`	STiL: Semi-supervised Tabular-Image Learning for Comprehensive Task-Relevant Information Exploration in Multimodal Classification. CVPR Siyi Du, Xinzhe Luo, Declan P. O'Regan, Chen Qin
2025	J	`jnl`	STiL: Semi-supervised Tabular-Image Learning for Comprehensive Task-Relevant Information Exploration in Multimodal Classification. CoRR Siyi Du, Xinzhe Luo, Declan P. O'Regan, Chen Qin
2025	J	`jnl`	Spectral Bias Correction in PINNs for Myocardial Image Registration of Pathological Data. CoRR Bastien C. Baluyot, Marta Varela, Chen Qin
2025	J	`jnl`	The state-of-the-art in cardiac MRI reconstruction: Results of the CMRxRecon challenge in MICCAI 2023. Medical Image Anal. Jun Lyu, Chen Qin, Shuo Wang, Fanwen Wang, Yan Li, Zi Wang, Kunyuan Guo, Ouyang Cheng, Michael Tänzer, Meng Liu, Longyu Sun, Mengting Sun, Qing Li, Zhang Shi, Sha Hua, Hao Li, Zhensen Chen, Zhenlin Zhang, Bingyu Xin, Dimitris N. Metaxas, George Yiasemis, Jonas Teuwen, Liping Zhang, Weitian Chen, Yidong Zhao, Qian Tao, Yanwei Pang, Xiaohan Liu, Artem Razumov, Dmitry V. Dylov, Quan Dou, Kang Yan, Yuyang Xue, Yuning Du, Julia Dietlmeier, Carles García-Cabrera, Ziad Al-Haj Hemidi, Nora Vogt, Ziqiang Xu, Yajing Zhang, Ying-Hua Chu, Weibo Chen, Wenjia Bai, Xiahai Zhuang, Jing Qin, Lianming Wu, Guang Yang, Xiaobo Qu, He Wang, Chengyan Wang
2025	—	`ed.`	Uncertainty for Safe Utilization of Machine Learning in Medical Imaging - 6th International Workshop, UNSURE 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 10, 2024, Proceedings UNSURE@MICCAI Carole H. Sudre, Raghav Mehta, Cheng Ouyang, Chen Qin, Marianne Rakic, William M. Wells III
2025	J	`jnl`	Uncertainty quantification for White Matter Hyperintensity segmentation detects silent failures and improves automated Fazekas quantification. Medical Image Anal. Ben Philps, Maria del C. Valdés Hernández, Chen Qin, Una Clancy, Eleni Sakka, Susana Muñoz Maniega, Mark E. Bastin, Angela C. C. Jochems, Joanna M. Wardlaw, Miguel O. Bernabeu
2025	—	`conf`	Unsupervised Accelerated MRI Reconstruction via Ground-Truth-Free Flow Matching. IPMI (1) Xinzhe Luo, Yingzhen Li, Chen Qin
2025	J	`jnl`	VAE-IF: Deep feature extraction with averaging for fully unsupervised artifact detection in routinely acquired ICU time-series. Comput. Biol. Medicine Hollan Haule, Ian Piper, Patricia Jones, Chen Qin, Tsz-Yan Milly Lo, Javier Escudero
2024	—	`conf`	CAR: Contrast-Agnostic Deformable Medical Image Registration with Contrast-Invariant Latent Regularization. WBIR Yinsong Wang, Siyi Du, Shaoming Zheng, Xinzhe Luo, Chen Qin
2024	J	`jnl`	CAR: Contrast-Agnostic Deformable Medical Image Registration with Contrast-Invariant Latent Regularization. CoRR Yinsong Wang, Siyi Du, Shaoming Zheng, Xinzhe Luo, Chen Qin
2024	J	`jnl`	CMRxRecon2024: A Multi-Modality, Multi-View K-Space Dataset Boosting Universal Machine Learning for Accelerated Cardiac MRI. CoRR 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
2024	J	`jnl`	Deep Network Cascade for Dynamic Cardiac MRI Reconstruction With Motion Feature Incorporation and the Fourier Neural Attention. IEEE Trans. Computational Imaging Jingshuai Liu, Chen Qin, Mehrdad Yaghoobi
2024	—	`conf`	FedFDD: Federated Learning with Frequency Domain Decomposition for Low-Dose CT Denoising. MIDL Xuhang Chen, Zeju Li, Zikun Xu, Kaijie Xu, Cheng Ouyang, Chen Qin
2024	J	`jnl`	High-frequency pressure fluctuations in vertical jet impingements: fast pressure-sensitive paint analysis. J. Vis. Hongling Fan, Chunhua Wei, Jiaxi Zhao, Chen Qin, Haoyuan Zhang, Peng Wang, Huihui Guo
2024	—	`conf`	Inference Stage Denoising for Undersampled MRI Reconstruction. ISBI Yuyang Xue, Chen Qin, Sotirios A. Tsaftaris
2024	J	`jnl`	Inference Stage Denoising for Undersampled MRI Reconstruction. CoRR Yuyang Xue, Chen Qin, Sotirios A. Tsaftaris
2024	J	`jnl`	Neural Ordinary Differential Equation based Sequential Image Registration for Dynamic Characterization. CoRR Yifan Wu, Mengjin Dong, Rohit Jena, Chen Qin, James C. Gee
2024	J	`jnl`	SGSR: Structure-Guided Multi-Contrast MRI Super-Resolution via Spatio-Frequency Co-Query Attention. CoRR Shaoming Zheng, Yinsong Wang, Siyi Du, Chen Qin
2024	—	`conf`	SGSR: Structure-Guided Multi-contrast MRI Super-Resolution via Spatio-Frequency Co-Query Attention. MLMI@MICCAI (1) Shaoming Zheng, Yinsong Wang, Siyi Du, Chen Qin
2024	—	`conf`	Sampling-Pattern-Agnostic MRI Reconstruction Through Adaptive Consistency Enforcement with Diffusion Model. CMRxRecon/MBAS/STACOM@MICCAI Anurag Malyala, Zhenlin Zhang, Chengyan Wang, Chen Qin
2024	J	`jnl`	Space-Ground Multicast Group Control for Multiuser LEO Satellite Networks. IEEE Trans. Wirel. Commun. Dapeng Wu, Chen Qin, Yaping Cui, Peng He, Ruyan Wang
2024	—	`conf`	TIP: Tabular-Image Pre-training for Multimodal Classification with Incomplete Data. ECCV (15) Siyi Du, Shaoming Zheng, Yinsong Wang, Wenjia Bai, Declan P. O'Regan, Chen Qin
2024	J	`jnl`	TIP: Tabular-Image Pre-training for Multimodal Classification with Incomplete Data. CoRR Siyi Du, Shaoming Zheng, Yinsong Wang, Wenjia Bai, Declan P. O'Regan, Chen Qin
2024	J	`jnl`	Uncertainty quantification for White Matter Hyperintensity segmentation detects silent failures and improves automated Fazekas quantification. CoRR Ben Philps, Maria del C. Valdés Hernández, Chen Qin, Una Clancy, Eleni Sakka, Susana Muñoz Maniega, Mark E. Bastin, Angela C. C. Jochems, Joanna M. Wardlaw, Miguel O. Bernabeu, Alzheimer's Disease Neuroimaging Initiative
2023	J	`jnl`	CMRxRecon: An open cardiac MRI dataset for the competition of accelerated image reconstruction. CoRR 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
2023	J	`jnl`	Causality-Inspired Single-Source Domain Generalization for Medical Image Segmentation. IEEE Trans. Medical Imaging Cheng Ouyang, Chen Chen, Surui Li, Zeju Li, Chen Qin, Wenjia Bai, Daniel Rueckert
2023	—	`conf`	Conditional Deformable Image Registration with Spatially-Variant and Adaptive Regularization. ISBI Yinsong Wang, Huaqi Qiu, Chen Qin
2023	J	`jnl`	Conditional Deformable Image Registration with Spatially-Variant and Adaptive Regularization. CoRR Yinsong Wang, Huaqi Qiu, Chen Qin
2023	J	`jnl`	Generative myocardial motion tracking via latent space exploration with biomechanics-informed prior. Medical Image Anal. Chen Qin, Shuo Wang, Chen Chen, Wenjia Bai, Daniel Rueckert
2023	J	`jnl`	High-Fidelity MRI Reconstruction Using Adaptive Spatial Attention Selection and Deep Data Consistency Prior. IEEE Trans. Computational Imaging Jingshuai Liu, Chen Qin, Mehrdad Yaghoobi
2023	J	`jnl`	Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation. CoRR Zeju Li, Konstantinos Kamnitsas, Qi Dou, Chen Qin, Ben Glocker
2023	J	`jnl`	Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation. IEEE Trans. Medical Imaging Zeju Li, Konstantinos Kamnitsas, Qi Dou, Chen Qin, Ben Glocker
2023	—	`ed.`	Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops - ISIC 2023, Care-AI 2023, MedAGI 2023, DeCaF 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8-12, 2023, Proceedings ISIC/Care-AI/MedAGI/DeCaF@MICCAI M. Emre Celebi, Md Sirajus Salekin, Hyunwoo J. Kim, Shadi Albarqouni, Catarina Barata, Allan Halpern, Philipp Tschandl, Marc Combalia, Yuan Liu, Ghada Zamzmi, Joshua Levy, Huzefa Rangwala, Annika Reinke, Diya Wynn, Bennett A. Landman, Won-Ki Jeong, Yiqing Shen, Zhongying Deng, Spyridon Bakas, Xiaoxiao Li, Chen Qin, Nicola Rieke, Holger Roth, Daguang Xu
2023	J	`jnl`	Region-focused multi-view transformer-based generative adversarial network for cardiac cine MRI reconstruction. Medical Image Anal. Jun Lyu, Guangyuan Li, Chengyan Wang, Chen Qin, Shuo Wang, Qi Dou, Jing Qin
2023	—	`ed.`	Uncertainty for Safe Utilization of Machine Learning in Medical Imaging - 5th International Workshop, UNSURE 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 12, 2023, Proceedings UNSURE@MICCAI Carole H. Sudre, Christian F. Baumgartner, Adrian V. Dalca, Raghav Mehta, Chen Qin, William M. Wells III
2023	J	`jnl`	VAE-IF: Deep feature extraction with averaging for unsupervised artifact detection in routine acquired ICU time-series. CoRR Hollan Haule, Ian Piper, Patricia Jones, Chen Qin, Tsz-Yan Milly Lo, Javier Escudero
2022	J	`jnl`	Adversarial Counterfactual Augmentation: Application in Alzheimer's Disease Classification. CoRR Tian Xia, Pedro Sanchez, Chen Qin, Sotirios A. Tsaftaris
2022	J	`jnl`	Artificial Intelligence-Based Image Reconstruction in Cardiac Magnetic Resonance. CoRR Chen Qin, Daniel Rueckert
2022	—	`conf`	Coil-Agnostic Attention-Based Network for Parallel MRI Reconstruction. ACCV (6) Jingshuai Liu, Chen Qin, Mehrdad Yaghoobi
2022	—	`ed.`	Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health - Third MICCAI Workshop, DeCaF 2022, and Second MICCAI Workshop, FAIR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18 and 22, 2022, Proceedings DeCaF/FAIR@MICCAI Shadi Albarqouni, Spyridon Bakas, Sophia Bano, M. Jorge Cardoso, Bishesh Khanal, Bennett A. Landman, Xiaoxiao Li, Chen Qin, Islem Rekik, Nicola Rieke, Holger Roth, Debdoot Sheet, Daguang Xu
2022	—	`conf`	Embedding Gradient-Based Optimization in Image Registration Networks. MICCAI (6) Huaqi Qiu, Kerstin Hammernik, Chen Qin, Chen Chen, Daniel Rueckert
2022	J	`jnl`	Enhancing MR image segmentation with realistic adversarial data augmentation. Medical Image Anal. Chen Chen, Chen Qin, Cheng Ouyang, Zeju Li, Shuo Wang, Huaqi Qiu, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert
2022	J	`jnl`	Generative Myocardial Motion Tracking via Latent Space Exploration with Biomechanics-informed Prior. CoRR Chen Qin, Shuo Wang, Chen Chen, Wenjia Bai, Daniel Rueckert
2022	—	`conf`	High-Fidelity MRI Reconstruction with the Densely Connected Network Cascade and Feature Residual Data Consistency Priors. MLMIR@MICCAI Jingshuai Liu, Chen Qin, Mehrdad Yaghoobi
2022	J	`jnl`	Hybrid Artifact Detection System for Minute Resolution Blood Pressure Signals from ICU. CoRR Hollan Haule, Evangelos Kafantaris, Tsz-Yan Milly Lo, Chen Qin, Javier Escudero
2022	—	`ed.`	Machine Learning for Medical Image Reconstruction - 5th International Workshop, MLMIR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings MLMIR@MICCAI Nandinee Fariah Haq, Patricia Johnson, Andreas Maier, Chen Qin, Tobias Würfl, Jaejun Yoo
2022	J	`jnl`	MulViMotion: Shape-Aware 3D Myocardial Motion Tracking From Multi-View Cardiac MRI. IEEE Trans. Medical Imaging Qingjie Meng, Chen Qin, Wenjia Bai, Tianrui Liu, Antonio de Marvao, Declan P. O'Regan, Daniel Rueckert
2022	J	`jnl`	MulViMotion: Shape-aware 3D Myocardial Motion Tracking from Multi-View Cardiac MRI. CoRR Qingjie Meng, Chen Qin, Wenjia Bai, Tianrui Liu, Antonio de Marvao, Declan P. O'Regan, Daniel Rueckert
2022	B	`conf`	Multi-Group Multicast Beamforming in LEO Satellite Communications. GLOBECOM Dapeng Wu, Chen Qin, Yaping Cui, Peng He, Ruyan Wang
2022	—	`conf`	Region-Guided Channel-Wise Attention Network for Accelerated MRI Reconstruction. MLMI@MICCAI Jingshuai Liu, Chen Qin, Mehrdad Yaghoobi
2022	—	`ed.`	Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers - 13th International Workshop, STACOM 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Revised Selected Papers STACOM@MICCAI Oscar Camara, Esther Puyol-Antón, Chen Qin, Maxime Sermesant, Avan Suinesiaputra, Shuo Wang, Alistair A. Young
2022	J	`jnl`	The Extreme Cardiac MRI Analysis Challenge under Respiratory Motion (CMRxMotion). CoRR 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
2022	—	`ed.`	Uncertainty for Safe Utilization of Machine Learning in Medical Imaging - 4th International Workshop, UNSURE 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings UNSURE@MICCAI Carole H. Sudre, Christian F. Baumgartner, Adrian V. Dalca, Chen Qin, Ryutaro Tanno, Koen Van Leemput, William M. Wells III
2021	—	`conf`	A Class Imbalance Monitoring Model for Fetal Heart Contractions Based on Gradient Boosting Decision Tree Ensemble Learning. DMBD (2) Chen Qin, Shaopeng Liu, Shengxiang Lin, Guangzhe Li, Jiaming Hong
2021	A*	`conf`	Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation. AAAI Shuang Li, Fangrui Lv, Binhui Xie, Chi Harold Liu, Jian Liang, Chen Qin
2021	J	`jnl`	Causality-inspired Single-source Domain Generalization for Medical Image Segmentation. CoRR Cheng Ouyang, Chen Chen, Surui Li, Zeju Li, Chen Qin, Wenjia Bai, Daniel Rueckert
2021	—	`conf`	Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation. MICCAI (3) Chen Chen, Kerstin Hammernik, Cheng Ouyang, Chen Qin, Wenjia Bai, Daniel Rueckert
2021	J	`jnl`	Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation. CoRR Chen Chen, Kerstin Hammernik, Cheng Ouyang, Chen Qin, Wenjia Bai, Daniel Rueckert
2021	J	`jnl`	Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation. CoRR Chen Chen, Chen Qin, Cheng Ouyang, Shuo Wang, Huaqi Qiu, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert
2021	—	`conf`	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 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
2021	J	`jnl`	GraDIRN: Learning Iterative Gradient Descent-based Energy Minimization for Deformable Image Registration. CoRR Huaqi Qiu, Kerstin Hammernik, Chen Qin, Daniel Rueckert
2021	—	`conf`	Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation. MICCAI (3) Shuo Wang, Chen Qin, Nicoló Savioli, Chen Chen, Declan P. O'Regan, Stuart A. Cook, Yike Guo, Daniel Rueckert, Wenjia Bai
2021	J	`jnl`	Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation. CoRR Shuo Wang, Chen Qin, Nicoló Savioli, Chen Chen, Declan P. O'Regan, Stuart A. Cook, Yike Guo, Daniel Rueckert, Wenjia Bai
2021	—	`conf`	Learning Diffeomorphic and Modality-invariant Registration using B-splines. MIDL Huaqi Qiu, Chen Qin, Andreas Schuh, Kerstin Hammernik, Daniel Rueckert
2021	A*	`conf`	Semantic Concentration for Domain Adaptation. ICCV Shuang Li, Mixue Xie, Fangrui Lv, Chi Harold Liu, Jian Liang, Chen Qin, Wei Li
2021	J	`jnl`	Semantic Concentration for Domain Adaptation. CoRR Shuang Li, Mixue Xie, Fangrui Lv, Chi Harold Liu, Jian Liang, Chen Qin, Wei Li
2021	—	`conf`	Towards Making More Reliable Cardiotocogram Data Prediction with Limited Expert Knowledge: Exploiting Unlabeled Data with Semi-supervised Boosting Method. DMBD (1) Jiaming Hong, Chen Qin, Yun Huang, Yin Zhou
2020	J	`jnl`	Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation. CoRR Shuang Li, Fangrui Lv, Binhui Xie, Chi Harold Liu, Jian Liang, Chen Qin
2020	—	`conf`	Biomechanics-Informed Neural Networks for Myocardial Motion Tracking in MRI. MICCAI (3) Chen Qin, Shuo Wang, Chen Chen, Huaqi Qiu, Wenjia Bai, Daniel Rueckert
2020	J	`jnl`	Biomechanics-informed Neural Networks for Myocardial Motion Tracking in MRI. CoRR Chen Qin, Shuo Wang, Chen Chen, Huaqi Qiu, Wenjia Bai, Daniel Rueckert
2020	—	`conf`	Deep Generative Model-Based Quality Control for Cardiac MRI Segmentation. MICCAI (4) Shuo Wang, Giacomo Tarroni, Chen Qin, Yuanhan Mo, Chengliang Dai, Chen Chen, Ben Glocker, Yike Guo, Daniel Rueckert, Wenjia Bai
2020	J	`jnl`	Deep Generative Model-based Quality Control for Cardiac MRI Segmentation. CoRR Shuo Wang, Giacomo Tarroni, Chen Qin, Yuanhan Mo, Chengliang Dai, Chen Chen, Ben Glocker, Yike Guo, Daniel Rueckert, Wenjia Bai
2020	J	`jnl`	Deep Network Interpolation for Accelerated Parallel MR Image Reconstruction. CoRR Chen Qin, Jo Schlemper, Kerstin Hammernik, Jinming Duan, Ronald M. Summers, Daniel Rueckert
2020	—	`conf`	Going Deeper into Cardiac Motion Analysis to Model Fine Spatio-Temporal Features. MIUA Ping Lu, Huaqi Qiu, Chen Qin, Wenjia Bai, Daniel Rueckert, J. Alison Noble
2020	—	`conf`	Realistic Adversarial Data Augmentation for MR Image Segmentation. MICCAI (1) Chen Chen, Chen Qin, Huaqi Qiu, Cheng Ouyang, Shuo Wang, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert
2020	J	`jnl`	Realistic Adversarial Data Augmentation for MR Image Segmentation. CoRR Chen Chen, Chen Qin, Huaqi Qiu, Cheng Ouyang, Shuo Wang, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert
2019	J	`jnl`	Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction. IEEE Trans. Medical Imaging Chen Qin, Jo Schlemper, Jose Caballero, Anthony N. Price, Joseph V. Hajnal, Daniel Rueckert
2019	J	`jnl`	Data consistency networks for (calibration-less) accelerated parallel MR image reconstruction. CoRR Jo Schlemper, Jinming Duan, Cheng Ouyang, Chen Qin, Jose Caballero, Joseph V. Hajnal, Daniel Rueckert
2019	—	`conf`	Deep Learning for Cardiac Motion Estimation: Supervised vs. Unsupervised Training. STACOM@MICCAI Huaqi Qiu, Chen Qin, Loïc Le Folgoc, Benjamin Hou, Jo Schlemper, Daniel Rueckert
2019	J	`jnl`	Deep learning for cardiac image segmentation: A review. CoRR Chen Chen, Chen Qin, Huaqi Qiu, Giacomo Tarroni, Jinming Duan, Wenjia Bai, Daniel Rueckert
2019	—	`conf`	Exploiting Motion for Deep Learning Reconstruction of Extremely-Undersampled Dynamic MRI. MICCAI (4) Gavin Seegoolam, Jo Schlemper, Chen Qin, Anthony Price, Joseph V. Hajnal, Daniel Rueckert
2019	J	`jnl`	Joint Motion Estimation and Segmentation from Undersampled Cardiac MR Image. CoRR Chen Qin, Wenjia Bai, Jo Schlemper, Steffen E. Petersen, Stefan K. Piechnik, Stefan Neubauer, Daniel Rueckert
2019	J	`jnl`	Unsupervised Deformable Registration for Multi-Modal Images via Disentangled Representations. CoRR Chen Qin, Bibo Shi, Rui Liao, Tommaso Mansi, Daniel Rueckert, Ali Kamen
2019	—	`conf`	Unsupervised Deformable Registration for Multi-modal Images via Disentangled Representations. IPMI Chen Qin, Bibo Shi, Rui Liao, Tommaso Mansi, Daniel Rueckert, Ali Kamen
2019	—	`conf`	VS-Net: Variable Splitting Network for Accelerated Parallel MRI Reconstruction. MICCAI (4) Jinming Duan, Jo Schlemper, Chen Qin, Cheng Ouyang, Wenjia Bai, Carlo Biffi, Ghalib Bello, Ben Statton, Declan P. O'Regan, Daniel Rueckert
2019	J	`jnl`	VS-Net: Variable splitting network for accelerated parallel MRI reconstruction. CoRR Jinming Duan, Jo Schlemper, Chen Qin, Cheng Ouyang, Wenjia Bai, Carlo Biffi, Ghalib Bello, Ben Statton, Declan P. O'Regan, Daniel Rueckert
2019	—	`conf`	k-t NEXT: Dynamic MR Image Reconstruction Exploiting Spatio-Temporal Correlations. MICCAI (2) Chen Qin, Jo Schlemper, Jinming Duan, Gavin Seegoolam, Anthony Price, Joseph V. Hajnal, Daniel Rueckert
2019	J	`jnl`	k-t NEXT: Dynamic MR Image Reconstruction Exploiting Spatio-temporal Correlations. CoRR Chen Qin, Jo Schlemper, Jinming Duan, Gavin Seegoolam, Anthony Price, Joseph V. Hajnal, Daniel Rueckert
2019	J	`jnl`	Σ-net: Ensembled Iterative Deep Neural Networks for Accelerated Parallel MR Image Reconstruction. CoRR Jo Schlemper, Chen Qin, Jinming Duan, Ronald M. Summers, Kerstin Hammernik
2019	J	`jnl`	Σ-net: Systematic Evaluation of Iterative Deep Neural Networks for Fast Parallel MR Image Reconstruction. CoRR Kerstin Hammernik, Jo Schlemper, Chen Qin, Jinming Duan, Ronald M. Summers, Daniel Rueckert
2018	—	`conf`	A Hybrid Massive MIMO Jammer for TDD Point-to-Point Link. WCSP Tong Yue, Aijun Liu, Kui Xu, Chen Qin
2018	J	`jnl`	A large margin algorithm for automated segmentation of white matter hyperintensity. Pattern Recognit. Chen Qin, Ricardo Guerrero, Christopher Bowles, Liang Chen, David Alexander Dickie, Maria del C. Valdés Hernández, Joanna M. Wardlaw, Daniel Rueckert
2018	—	`conf`	Bayesian Deep Learning for Accelerated MR Image Reconstruction. MLMIR@MICCAI Jo Schlemper, Daniel Coelho de Castro, Wenjia Bai, Chen Qin, Ozan Oktay, Jinming Duan, Anthony N. Price, Joseph V. Hajnal, Daniel Rueckert
2018	—	`conf`	Cardiac MR Segmentation from Undersampled k-space Using Deep Latent Representation Learning. MICCAI (1) Jo Schlemper, Ozan Oktay, Wenjia Bai, Daniel Coelho de Castro, Jinming Duan, Chen Qin, Joseph V. Hajnal, Daniel Rueckert
2018	—	`conf`	Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences. MICCAI (2) Chen Qin, Wenjia Bai, Jo Schlemper, Steffen E. Petersen, Stefan K. Piechnik, Stefan Neubauer, Daniel Rueckert
2018	J	`jnl`	Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences. CoRR Chen Qin, Wenjia Bai, Jo Schlemper, Steffen E. Petersen, Stefan K. Piechnik, Stefan Neubauer, Daniel Rueckert
2018	—	`conf`	Joint Motion Estimation and Segmentation from Undersampled Cardiac MR Image. MLMIR@MICCAI Chen Qin, Wenjia Bai, Jo Schlemper, Steffen E. Petersen, Stefan K. Piechnik, Stefan Neubauer, Daniel Rueckert
2018	—	`conf`	Recurrent Neural Networks for Aortic Image Sequence Segmentation with Sparse Annotations. MICCAI (4) Wenjia Bai, Hideaki Suzuki, Chen Qin, Giacomo Tarroni, Ozan Oktay, Paul M. Matthews, Daniel Rueckert
2018	J	`jnl`	Recurrent neural networks for aortic image sequence segmentation with sparse annotations. CoRR Wenjia Bai, Hideaki Suzuki, Chen Qin, Giacomo Tarroni, Ozan Oktay, Paul M. Matthews, Daniel Rueckert
2017	J	`jnl`	Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction. CoRR Chen Qin, Jo Schlemper, Jose Caballero, Anthony Price, Joseph V. Hajnal, Daniel Rueckert
2016	—	`conf`	A Semi-supervised Large Margin Algorithm for White Matter Hyperintensity Segmentation. MLMI@MICCAI 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
2016	—	`conf`	Pseudo-healthy Image Synthesis for White Matter Lesion Segmentation. SASHIMI@MICCAI 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
2015	J	`jnl`	Unsupervised neighborhood component analysis for clustering. Neurocomputing Chen Qin, Shiji Song, Gao Huang, Lei Zhu
2014	—	`conf`	Mathematical Model of a Three-Dimensional Optical Interconnection Network. NAS Chao Peng, Jia Lu, Lewen Zhou, Chen Qin, Longfei Guo, Wenhua Dou
2014	B	`conf`	Non-linear neighborhood component analysis based on constructive neural networks. SMC Chen Qin, Shiji Song, Gao Huang
2013	—	`conf`	Capability Exchange: Improving Access Control Usability in Health IT. HealthTech Chen Qin, Emily Freebairn, Sean Smith
2010	—	`conf`	Application of a Combination Forecasting Model in Logistics Parks' Demand. ICEE Chen Qin, Qi Ming
2010	—	`conf`	The Interaction of Community and Tourism: Dual Structure and Kuznets Hypothesis. ICEE Zhifei Li, Chen Qin