| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 2061 | 2018 |
| Deep learning based radiomics (DLR) and its usage in noninvasive IDH1 prediction for low grade glioma Z Li, Y Wang, J Yu, Y Guo, W Cao Scientific reports 7 (1), 5467, 2017 | 363 | 2017 |
| Noninvasive IDH1 mutation estimation based on a quantitative radiomics approach for grade II glioma J Yu, Z Shi, Y Lian, Z Li, T Liu, Y Gao, Y Wang, L Chen, Y Mao European radiology 27, 3509-3522, 2017 | 244 | 2017 |
| Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study Q Dou, TY So, M Jiang, Q Liu, V Vardhanabhuti, G Kaissis, Z Li, W Si, ... NPJ digital medicine 4 (1), 60, 2021 | 207 | 2021 |
| Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning A Hering, L Hansen, TCW Mok, ACS Chung, H Siebert, S Häger, A Lange, ... IEEE Transactions on Medical Imaging 42 (3), 697-712, 2022 | 194 | 2022 |
| 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 | 159 | 2022 |
| Analyzing overfitting under class imbalance in neural networks for image segmentation Z Li, K Kamnitsas, B Glocker IEEE transactions on medical imaging 40 (3), 1065-1077, 2020 | 152 | 2020 |
| Overfitting of neural nets under class imbalance: Analysis and improvements for segmentation Z Li, K Kamnitsas, B Glocker Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 126 | 2019 |
| Brain tumor segmentation using an adversarial network Z Li, Y Wang, J Yu Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2018 | 66 | 2018 |
| Left ventricle segmentation via optical-flow-net from short-axis cine MRI: preserving the temporal coherence of cardiac motion W Yan, Y Wang, Z Li, RJ Van Der Geest, Q Tao Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 50 | 2018 |
| High-resolution chest x-ray bone suppression using unpaired CT structural priors H Li, H Han, Z Li, L Wang, Z Wu, J Lu, SK Zhou IEEE transactions on medical imaging 39 (10), 3053-3063, 2020 | 49 | 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 | 44 | 2022 |
| Maxstyle: Adversarial style composition for robust medical image segmentation C Chen, Z Li, C Ouyang, M Sinclair, W Bai, D Rueckert International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 39 | 2022 |
| Low‐Grade Glioma Segmentation Based on CNN with Fully Connected CRF Z Li, Y Wang, J Yu, Z Shi, Y Guo, L Chen, Y Mao Journal of healthcare engineering 2017 (1), 9283480, 2017 | 39 | 2017 |
| Deepvolume: Brain structure and spatial connection-aware network for brain mri super-resolution Z Li, J Yu, Y Wang, H Zhou, H Yang, Z Qiao IEEE transactions on cybernetics 51 (7), 3441-3454, 2019 | 34 | 2019 |
| Reconstruction of thin-slice medical images using generative adversarial network Z Li, Y Wang, J Yu Machine Learning in Medical Imaging: 8th International Workshop, MLMI 2017 …, 2017 | 31 | 2017 |
| Breast tumor classification based on MRI-US images by disentangling modality features M Qiao, C Liu, Z Li, J Zhou, Q Xiao, S Zhou, C Chang, Y Gu, Y Guo, ... IEEE Journal of Biomedical and Health Informatics 26 (7), 3059-3067, 2022 | 27 | 2022 |
| Deep generative adversarial networks for thin-section infant MR image reconstruction J Gu, Z Li, Y Wang, H Yang, Z Qiao, J Yu IEEE Access 7, 68290-68304, 2019 | 26 | 2019 |
| Primary central nervous system lymphoma and glioblastoma differentiation based on conventional magnetic resonance imaging by high-throughput SIFT features Y Chen, Z Li, G Wu, J Yu, Y Wang, X Lv, X Ju, Z Chen International Journal of Neuroscience 128 (7), 608-618, 2018 | 25 | 2018 |
| Encoding CT anatomy knowledge for unpaired chest X-ray image decomposition Z Li, H Li, H Han, G Shi, J Wang, SK Zhou Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 23 | 2019 |
Ben GlockerImperial College LondonVerified email at imperial.ac.uk
