| GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks C Bowles, L Chen, R Guerrero, P Bentley, R Gunn, A Hammers, ... arXiv preprint arXiv:1810.10863, 2018 | 572 | 2018 |
| Self-supervised learning for medical image analysis using image context restoration L Chen, P Bentley, K Mori, K Misawa, M Fujiwara, D Rueckert Medical image analysis 58, 101539, 2019 | 507 | 2019 |
| ISLES 2015-A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI O Maier, BH Menze, J von der Gablentz, L Häni, MP Heinrich, M Liebrand, ... Medical image analysis 35, 250-269, 2017 | 502 | 2017 |
| Fully automatic acute ischemic lesion segmentation in DWI using convolutional neural networks L Chen, P Bentley, D Rueckert NeuroImage: Clinical 15, 633-643, 2017 | 309 | 2017 |
| DRINet for medical image segmentation L Chen, P Bentley, K Mori, K Misawa, M Fujiwara, D Rueckert IEEE transactions on medical imaging 37 (11), 2453-2462, 2018 | 281 | 2018 |
| Multi-modal classification of Alzheimer's disease using nonlinear graph fusion T Tong, K Gray, Q Gao, L Chen, D Rueckert, ... Pattern recognition 63, 171-181, 2017 | 235 | 2017 |
| 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 | 219 | 2018 |
| Multi-scale 3D convolutional neural networks for lesion segmentation in brain MRI K Kamnitsas, L Chen, C Ledig, D Rueckert, B Glocker Ischemic stroke lesion segmentation 13, 13-16, 2015 | 162 | 2015 |
| A novel grading biomarker for the prediction of conversion from mild cognitive impairment to Alzheimer's disease T Tong, Q Gao, R Guerrero, C Ledig, L Chen, D Rueckert, ... IEEE Transactions on Biomedical Engineering 64 (1), 155-165, 2017 | 161 | 2017 |
| Attention-Gated Networks for Improving Ultrasound Scan Plane Detection J Schlemper, O Oktay, L Chen, J Matthew, C Knight, B Kainz, B Glocker, ... arXiv preprint arXiv:1804.05338, 2018 | 119 | 2018 |
| Realistic adversarial data augmentation for MR image segmentation C Chen, C Qin, H Qiu, C Ouyang, S Wang, L Chen, G Tarroni, W Bai, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 92 | 2020 |
| 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 | 34 | 2022 |
| Rapid automated quantification of cerebral leukoaraiosis on CT images: a multicenter validation study L Chen, AL Carlton Jones, G Mair, R Patel, A Gontsarova, ... Radiology 288 (2), 573-581, 2018 | 32 | 2018 |
| Nonlinear graph fusion for multi-modal classification of Alzheimer’s disease T Tong, K Gray, Q Gao, L Chen, D Rueckert Machine Learning in Medical Imaging: 6th International Workshop, MLMI 2015 …, 2015 | 25 | 2015 |
| A large margin algorithm for automated segmentation of white matter hyperintensity C Qin, R Guerrero, C Bowles, L Chen, DA Dickie, MC Valdes-Hernandez, ... Pattern Recognition 77, 150-159, 2018 | 24 | 2018 |
| Identification of cerebral small vessel disease using multiple instance learning L Chen, T Tong, CP Ho, R Patel, D Cohen, AC Dawson, O Halse, ... Medical Image Computing and Computer-Assisted Intervention--MICCAI 2015 …, 2015 | 24 | 2015 |
| Intelligent image synthesis to attack a segmentation CNN using adversarial learning L Chen, P Bentley, K Mori, K Misawa, M Fujiwara, D Rueckert Simulation and Synthesis in Medical Imaging: 4th International Workshop …, 2019 | 21 | 2019 |
| A novel framework for sub-acute stroke lesion segmentation based on random forest L Chen, P Bentley, D Rueckert Ischemic Stroke Lesion Segmentation, 9, 2015 | 17 | 2015 |
| Learning to Sample the Most Useful Training Patches from Images S Sun, L Chen, G Slabaugh, P Torr arXiv preprint arXiv:2011.12097, 2020 | 8 | 2020 |
| Spatial semantic-preserving latent space learning for accelerated dwi diagnostic report generation A Gasimova, G Seegoolam, L Chen, P Bentley, D Rueckert Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 5 | 2020 |
Daniel RueckertTechnical University of Munich and Imperial College London在 tum.de 的电子邮件经过验证
