| Deep learning for cardiac image segmentation: a review C Chen, C Qin, H Qiu, G Tarroni, J Duan, W Bai, D Rueckert Frontiers in Cardiovascular Medicine 7, 25, 2020 | 795 | 2020 |
| Convolutional recurrent neural networks for dynamic MR image reconstruction C Qin, J Schlemper, J Caballero, AN Price, JV Hajnal, D Rueckert IEEE transactions on medical imaging 38 (1), 280-290, 2018 | 654 | 2018 |
| White matter hyperintensity and stroke lesion segmentation and differentiation using convolutional neural networks R Guerrero, C Qin, O Oktay, C Bowles, L Chen, R Joules, R Wolz, ... NeuroImage: Clinical 17, 918-934, 2018 | 238 | 2018 |
| Joint learning of motion estimation and segmentation for cardiac MR image sequences C Qin, W Bai, J Schlemper, SE Petersen, SK Piechnik, S Neubauer, ... International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 185 | 2018 |
| Causality-inspired single-source domain generalization for medical image segmentation C Ouyang, C Chen, S Li, Z Li, C Qin, W Bai, D Rueckert IEEE Transactions on Medical Imaging 42 (4), 1095-1106, 2022 | 158 | 2022 |
| Unsupervised Deformable Registration for Multi-modal Images via Disentangled Representations C Qin, B Shi, R Liao, T Mansi, D Rueckert, A Kamen International Conference on Information Processing in Medical Imaging, 249-261, 2019 | 152 | 2019 |
| Recurrent neural networks for aortic image sequence segmentation with sparse annotations W Bai, H Suzuki, C Qin, G Tarroni, O Oktay, PM Matthews, D Rueckert International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 147 | 2018 |
| Bi-classifier determinacy maximization for unsupervised domain adaptation S Li, F Lv, B Xie, CH Liu, J Liang, C Qin Proceedings of the AAAI conference on artificial intelligence 35 (10), 8455-8464, 2021 | 123 | 2021 |
| Realistic adversarial data augmentation for MR image segmentation C Chen, C Qin, H Qiu, C Ouyang, S Wang, L Chen, G Tarroni, W Bai, ... International Conference on Medical Image Computing and Computer-Assisted …, 2020 | 107 | 2020 |
| Semantic Concentration for Domain Adaptation S Li, M Xie, F Lv, CH Liu, J Liang, C Qin, W Li Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 106 | 2021 |
| VS-Net: Variable splitting network for accelerated parallel MRI reconstruction J Duan, J Schlemper, C Qin, C Ouyang, W Bai, C Biffi, G Bello, B Statton, ... International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 104 | 2019 |
| Systematic evaluation of iterative deep neural networks for fast parallel MRI reconstruction with sensitivity‐weighted coil combination K Hammernik, J Schlemper, C Qin, J Duan, RM Summers, D Rueckert Magnetic Resonance in Medicine 86 (4), 1859-1872, 2021 | 94 | 2021 |
| Learning Diffeomorphic and Modality-invariant Registration using B-splines H Qiu, C Qin, A Schuh, K Hammernik, D Rueckert Medical Imaging with Deep Learning, 2021 | 69 | 2021 |
| Unsupervised neighborhood component analysis for clustering C Qin, S Song, G Huang, L Zhu Neurocomputing 168, 609-617, 2015 | 69 | 2015 |
| Brain lesion segmentation through image synthesis and outlier detection C Bowles, C Qin, R Guerrero, R Gunn, A Hammers, DA Dickie, ... NeuroImage: Clinical 16, 643-658, 2017 | 62 | 2017 |
| Cardiac MR Segmentation from Undersampled k-space Using Deep Latent Representation Learning J Schlemper, O Oktay, W Bai, DC Castro, J Duan, C Qin, JV Hajnal, ... International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 48 | 2018 |
| Bayesian Deep Learning for Accelerated MR Image Reconstruction J Schlemper, DC Castro, W Bai, C Qin, O Oktay, J Duan, AN Price, ... International Workshop on Machine Learning for Medical Image Reconstruction …, 2018 | 47 | 2018 |
| Enhancing MR image segmentation with realistic adversarial data augmentation C Chen, C Qin, C Ouyang, Z Li, S Wang, H Qiu, L Chen, G Tarroni, W Bai, ... Medical Image Analysis 82, 102597, 2022 | 43 | 2022 |
| Complementary time‐frequency domain networks for dynamic parallel MR image reconstruction C Qin, J Duan, K Hammernik, J Schlemper, T Küstner, R Botnar, C Prieto, ... Magnetic Resonance in Medicine 86 (6), 3274-3291, 2021 | 41 | 2021 |
| Pseudo-healthy image synthesis for white matter lesion segmentation C Bowles, C Qin, C Ledig, R Guerrero, R Gunn, A Hammers, E Sakka, ... International Workshop on Simulation and Synthesis in Medical Imaging, 87-96, 2016 | 41 | 2016 |
Daniel RueckertTechnical University of Munich and Imperial College LondonEmail verificata su tum.de
