Chen Qin
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
31
Venues
11
Active years
2014–2026
Best venue rank
A*
Where they publish
Papers
31 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ICPR | Blind Multi-coil MRI Reconstruction Through Joint Optimization with the Diffusion Model. | Guangxin Zhao, Xinzhe Luo, Mary-Brenda Akoda, Jan Sedlacik, Chen Qin |
| 2026 | ISCAS | Static Segment-Based Approximate Booth Multiplier with Probabilistic Error Compensation. | Dongxiao Yu, Yuhang Ren, Zhenyu Wang, Chen Qin, Lulin Cai, Yajuan He |
| 2025 | CVPR | STiL: Semi-supervised Tabular-Image Learning for Comprehensive Task-Relevant Information Exploration in Multimodal Classification. | Siyi Du, Xinzhe Luo, Declan P. O'Regan, Chen Qin |
| 2025 | VCIP | A Wavelet-based Image Coding Framework for Data Storage on DNA. | Chen Qin, Yuanchao Bai, Wenbo Zhao, Xianming Liu |
| 2024 | ECCV | 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 |
| 2024 | MICCAI | Sampling-Pattern-Agnostic MRI Reconstruction Through Adaptive Consistency Enforcement with Diffusion Model. | Anurag Malyala, Zhenlin Zhang, Chengyan Wang, Chen Qin |
| 2022 | ACCV | Coil-Agnostic Attention-Based Network for Parallel MRI Reconstruction. | Jingshuai Liu, Chen Qin, Mehrdad Yaghoobi |
| 2022 | GLOBECOM | Multi-Group Multicast Beamforming in LEO Satellite Communications. | Dapeng Wu, Chen Qin, Yaping Cui, Peng He, Ruyan Wang |
| 2022 | MICCAI | High-Fidelity MRI Reconstruction with the Densely Connected Network Cascade and Feature Residual Data Consistency Priors. | Jingshuai Liu, Chen Qin, Mehrdad Yaghoobi |
| 2022 | MICCAI | Region-Guided Channel-Wise Attention Network for Accelerated MRI Reconstruction. | Jingshuai Liu, Chen Qin, Mehrdad Yaghoobi |
| 2022 | MICCAI | Embedding Gradient-Based Optimization in Image Registration Networks. | Huaqi Qiu, Kerstin Hammernik, Chen Qin, Chen Chen, Daniel Rueckert |
| 2021 | AAAI | Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation. | Shuang Li, Fangrui Lv, Binhui Xie, Chi Harold Liu, Jian Liang, Chen Qin |
| 2021 | ICCV | Semantic Concentration for Domain Adaptation. | Shuang Li, Mixue Xie, Fangrui Lv, Chi Harold Liu, Jian Liang, Chen Qin, Wei Li |
| 2021 | MICCAI | Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation. | Chen Chen, Kerstin Hammernik, Cheng Ouyang, Chen Qin, Wenjia Bai, Daniel Rueckert |
| 2021 | MICCAI | 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 Schlke, 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 | MICCAI | Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation. | Shuo Wang, Chen Qin, Nicol Savioli, Chen Chen, Declan P. O'Regan, Stuart A. Cook, Yike Guo, Daniel Rueckert, Wenjia Bai |
| 2020 | MICCAI | 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 |
| 2020 | MICCAI | Biomechanics-Informed Neural Networks for Myocardial Motion Tracking in MRI. | Chen Qin, Shuo Wang, Chen Chen, Huaqi Qiu, Wenjia Bai, Daniel Rueckert |
| 2020 | MICCAI | 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 |
| 2019 | MICCAI | 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 |
| 2019 | MICCAI | 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 |
| 2019 | MICCAI | Deep Learning for Cardiac Motion Estimation: Supervised vs. Unsupervised Training. | Huaqi Qiu, Chen Qin, Loc Le Folgoc, Benjamin Hou, Jo Schlemper, Daniel Rueckert |
| 2019 | MICCAI | Exploiting Motion for Deep Learning Reconstruction of Extremely-Undersampled Dynamic MRI. | Gavin Seegoolam, Jo Schlemper, Chen Qin, Anthony Price, Joseph V. Hajnal, Daniel Rueckert |
| 2018 | MICCAI | 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 |
| 2018 | MICCAI | 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 |
| 2018 | MICCAI | 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 |
| 2018 | MICCAI | 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 |
| 2018 | MICCAI | 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 |
| 2016 | MICCAI | 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. Valds Hernndez, 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 |
| 2016 | MICCAI | 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 |
| 2014 | SMC | Non-linear neighborhood component analysis based on constructive neural networks. | Chen Qin, Shiji Song, Gao Huang |