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2020 – today
- 2025
[e7]Carole H. Sudre
, Raghav Mehta, Cheng Ouyang, Chen Qin, Marianne Rakic, William M. Wells III:
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. Lecture Notes in Computer Science 15167, Springer 2025, ISBN 978-3-031-73157-0 [contents]- 2024
- [j13]Hongling Fan, Chunhua Wei, Jiaxi Zhao, Chen Qin, Haoyuan Zhang, Peng Wang, Huihui Guo:
High-frequency pressure fluctuations in vertical jet impingements: fast pressure-sensitive paint analysis. J. Vis. 27(6): 1059-1075 (2024) - [j12]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: 774-789 (2024) - [j11]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): 1622-1633 (2024) - [c40]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. ECCV (15) 2024: 478-496 - [c39]Yuyang Xue, Chen Qin, Sotirios A. Tsaftaris:
Inference Stage Denoising for Undersampled MRI Reconstruction. ISBI 2024: 1-5 - [c38]Shaoming Zheng, Yinsong Wang, Siyi Du, Chen Qin:
SGSR: Structure-Guided Multi-contrast MRI Super-Resolution via Spatio-Frequency Co-Query Attention. MLMI@MICCAI (1) 2024: 382-391 - [c37]Yinsong Wang, Siyi Du, Shaoming Zheng, Xinzhe Luo, Chen Qin:
CAR: Contrast-Agnostic Deformable Medical Image Registration with Contrast-Invariant Latent Regularization. WBIR 2024: 308-318 - [i39]Yuyang Xue, Chen Qin, Sotirios A. Tsaftaris:
Inference Stage Denoising for Undersampled MRI Reconstruction. CoRR abs/2402.08692 (2024) - [i38]Yifan Wu, Mengjin Dong, Rohit Jena, Chen Qin, James C. Gee:
Neural Ordinary Differential Equation based Sequential Image Registration for Dynamic Characterization. CoRR abs/2404.02106 (2024) - [i37]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 abs/2406.19043 (2024) - [i36]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 abs/2407.07582 (2024) - [i35]Shaoming Zheng, Yinsong Wang, Siyi Du, Chen Qin:
SGSR: Structure-Guided Multi-Contrast MRI Super-Resolution via Spatio-Frequency Co-Query Attention. CoRR abs/2408.03194 (2024) - [i34]Yinsong Wang, Siyi Du, Shaoming Zheng, Xinzhe Luo, Chen Qin:
CAR: Contrast-Agnostic Deformable Medical Image Registration with Contrast-Invariant Latent Regularization. CoRR abs/2408.05341 (2024) - [i33]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:
Uncertainty quantification for White Matter Hyperintensity segmentation detects silent failures and improves automated Fazekas quantification. CoRR abs/2411.17571 (2024) - 2023
- [j10]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: 102682 (2023) - [j9]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: 102760 (2023) - [j8]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: 298-313 (2023) - [j7]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): 1095-1106 (2023) - [j6]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): 3323-3335 (2023) - [c36]Yinsong Wang, Huaqi Qiu, Chen Qin:
Conditional Deformable Image Registration with Spatially-Variant and Adaptive Regularization. ISBI 2023: 1-5 - [e6]Carole H. Sudre, Christian F. Baumgartner, Adrian V. Dalca, Raghav Mehta, Chen Qin, William M. Wells:
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. Lecture Notes in Computer Science 14291, Springer 2023, ISBN 978-3-031-44335-0 [contents] - [e5]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:
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. Lecture Notes in Computer Science 14393, Springer 2023, ISBN 978-3-031-47400-2 [contents] - [i32]Yinsong Wang, Huaqi Qiu, Chen Qin:
Conditional Deformable Image Registration with Spatially-Variant and Adaptive Regularization. CoRR abs/2303.10700 (2023) - [i31]Zeju Li, Konstantinos Kamnitsas, Qi Dou, Chen Qin, Ben Glocker:
Joint Optimization of Class-Specific Training- and Test-Time Data Augmentation in Segmentation. CoRR abs/2305.19084 (2023) - [i30]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 abs/2309.10836 (2023) - [i29]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 abs/2312.05959 (2023) - 2022
- [j5]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: 102597 (2022) - [j4]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): 1961-1974 (2022) - [c35]Jingshuai Liu, Chen Qin, Mehrdad Yaghoobi:
Coil-Agnostic Attention-Based Network for Parallel MRI Reconstruction. ACCV (6) 2022: 168-184 - [c34]Dapeng Wu, Chen Qin, Yaping Cui, Peng He, Ruyan Wang:
Multi-Group Multicast Beamforming in LEO Satellite Communications. GLOBECOM 2022: 1564-1569 - [c33]Jingshuai Liu, Chen Qin, Mehrdad Yaghoobi:
Region-Guided Channel-Wise Attention Network for Accelerated MRI Reconstruction. MLMI@MICCAI 2022: 21-31 - [c32]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: 34-43 - [c31]Huaqi Qiu, Kerstin Hammernik, Chen Qin, Chen Chen, Daniel Rueckert:
Embedding Gradient-Based Optimization in Image Registration Networks. MICCAI (6) 2022: 56-65 - [e4]Carole H. Sudre, Christian F. Baumgartner, Adrian V. Dalca, Chen Qin, Ryutaro Tanno, Koen Van Leemput, William M. Wells III:
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. Lecture Notes in Computer Science 13563, Springer 2022, ISBN 978-3-031-16748-5 [contents] - [e3]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:
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. Lecture Notes in Computer Science 13573, Springer 2022, ISBN 978-3-031-18522-9 [contents] - [e2]Nandinee Fariah Haq, Patricia Johnson, Andreas Maier, Chen Qin, Tobias Würfl, Jaejun Yoo:
Machine Learning for Medical Image Reconstruction - 5th International Workshop, MLMIR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Lecture Notes in Computer Science 13587, Springer 2022, ISBN 978-3-031-17246-5 [contents] - [e1]Oscar Camara, Esther Puyol-Antón, Chen Qin, Maxime Sermesant, Avan Suinesiaputra, Shuo Wang, Alistair A. Young:
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. Lecture Notes in Computer Science 13593, Springer 2022, ISBN 978-3-031-23442-2 [contents] - [i28]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 abs/2203.05947 (2022) - [i27]Tian Xia, Pedro Sanchez, Chen Qin, Sotirios A. Tsaftaris:
Adversarial Counterfactual Augmentation: Application in Alzheimer's Disease Classification. CoRR abs/2203.07815 (2022) - [i26]Chen Qin, Shuo Wang, Chen Chen, Wenjia Bai, Daniel Rueckert:
Generative Myocardial Motion Tracking via Latent Space Exploration with Biomechanics-informed Prior. CoRR abs/2206.03830 (2022) - [i25]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 abs/2208.00034 (2022) - [i24]Chen Qin, Daniel Rueckert:
Artificial Intelligence-Based Image Reconstruction in Cardiac Magnetic Resonance. CoRR abs/2209.10298 (2022) - [i23]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 abs/2210.06385 (2022) - 2021
- [c30]Shuang Li, Fangrui Lv, Binhui Xie, Chi Harold Liu, Jian Liang, Chen Qin:
Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation. AAAI 2021: 8455-8464 - [c29]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: 217-227 - [c28]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: 422-435 - [c27]Shuang Li, Mixue Xie, Fangrui Lv, Chi Harold Liu, Jian Liang, Chen Qin, Wei Li:
Semantic Concentration for Domain Adaptation. ICCV 2021: 9082-9091 - [c26]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: 14-24 - [c25]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: 25-34 - [c24]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: 149-159 - [c23]Huaqi Qiu, Chen Qin, Andreas Schuh, Kerstin Hammernik, Daniel Rueckert:
Learning Diffeomorphic and Modality-invariant Registration using B-splines. MIDL 2021: 645-664 - [i22]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 abs/2107.01079 (2021) - [i21]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 abs/2107.03887 (2021) - [i20]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 abs/2108.03429 (2021) - [i19]Shuang Li, Mixue Xie, Fangrui Lv, Chi Harold Liu, Jian Liang, Chen Qin, Wei Li:
Semantic Concentration for Domain Adaptation. CoRR abs/2108.05720 (2021) - [i18]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 abs/2111.12525 (2021) - [i17]Huaqi Qiu, Kerstin Hammernik, Chen Qin, Daniel Rueckert:
GraDIRN: Learning Iterative Gradient Descent-based Energy Minimization for Deformable Image Registration. CoRR abs/2112.03915 (2021) - 2020
- [c22]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: 88-97 - [c21]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: 296-306 - [c20]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: 667-677 - [c19]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: 294-306 - [i16]Chen Qin, Shuo Wang, Chen Chen, Huaqi Qiu, Wenjia Bai, Daniel Rueckert:
Biomechanics-informed Neural Networks for Myocardial Motion Tracking in MRI. CoRR abs/2006.04725 (2020) - [i15]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 abs/2006.13322 (2020) - [i14]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 abs/2006.13379 (2020) - [i13]Chen Qin, Jo Schlemper, Kerstin Hammernik, Jinming Duan, Ronald M. Summers, Daniel Rueckert:
Deep Network Interpolation for Accelerated Parallel MR Image Reconstruction. CoRR abs/2007.05993 (2020) - [i12]Shuang Li, Fangrui Lv, Binhui Xie, Chi Harold Liu, Jian Liang, Chen Qin:
Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation. CoRR abs/2012.06995 (2020)
2010 – 2019
- 2019
- [j3]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): 280-290 (2019) - [c18]Chen Qin, Bibo Shi, Rui Liao, Tommaso Mansi, Daniel Rueckert, Ali Kamen:
Unsupervised Deformable Registration for Multi-modal Images via Disentangled Representations. IPMI 2019: 249-261 - [c17]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: 186-194 - [c16]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: 505-513 - [c15]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: 704-712 - [c14]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: 713-722 - [i11]Chen Qin, Bibo Shi, Rui Liao, Tommaso Mansi, Daniel Rueckert, Ali Kamen:
Unsupervised Deformable Registration for Multi-Modal Images via Disentangled Representations. CoRR abs/1903.09331 (2019) - [i10]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 abs/1907.09425 (2019) - [i9]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 abs/1907.10033 (2019) - [i8]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 abs/1908.07623 (2019) - [i7]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 abs/1909.11795 (2019) - [i6]Chen Chen, Chen Qin, Huaqi Qiu, Giacomo Tarroni, Jinming Duan, Wenjia Bai, Daniel Rueckert:
Deep learning for cardiac image segmentation: A review. CoRR abs/1911.03723 (2019) - [i5]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 abs/1912.05480 (2019) - [i4]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 abs/1912.09278 (2019) - 2018
- [j2]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: 150-159 (2018) - [c13]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: 55-63 - [c12]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: 64-71 - [c11]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: 259-267 - [c10]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: 472-480 - [c9]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: 586-594 - [c8]Tong Yue, Aijun Liu, Kui Xu, Chen Qin:
A Hybrid Massive MIMO Jammer for TDD Point-to-Point Link. WCSP 2018: 1-6 - [i3]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 abs/1806.04066 (2018) - [i2]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 abs/1808.00273 (2018) - 2017
- [i1]Chen Qin, Jo Schlemper, Jose Caballero, Anthony Price, Joseph V. Hajnal, Daniel Rueckert:
Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction. CoRR abs/1712.01751 (2017) - 2016
- [c7]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: 87-96 - [c6]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: 104-112 - 2015
- [j1]Chen Qin, Shiji Song, Gao Huang, Lei Zhu:
Unsupervised neighborhood component analysis for clustering. Neurocomputing 168: 609-617 (2015) - 2014
- [c5]Chao Peng, Jia Lu, Lewen Zhou, Chen Qin, Longfei Guo, Wenhua Dou:
Mathematical Model of a Three-Dimensional Optical Interconnection Network. NAS 2014: 24-32 - [c4]Chen Qin, Shiji Song, Gao Huang:
Non-linear neighborhood component analysis based on constructive neural networks. SMC 2014: 1997-2002 - 2013
- [c3]Chen Qin, Emily Freebairn, Sean Smith:
Capability Exchange: Improving Access Control Usability in Health IT. HealthTech 2013 - 2010
- [c2]Chen Qin, Qi Ming:
Application of a Combination Forecasting Model in Logistics Parks' Demand. ICEE 2010: 2394-2397 - [c1]Zhifei Li, Chen Qin:
The Interaction of Community and Tourism: Dual Structure and Kuznets Hypothesis. ICEE 2010: 2572-2575
Coauthor Index
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Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-01-20 23:03 CET by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
