| Development and validation of a deep learning system to detect glaucomatous optic neuropathy using fundus photographs H Liu, L Li, IM Wormstone, C Qiao, C Zhang, P Liu, S Li, H Wang, D Mou, ... JAMA ophthalmology 137 (12), 1353-1360, 2019 | 229 | 2019 |
| Attention based glaucoma detection: A large-scale database and CNN model L Li, M Xu, X Wang, L Jiang, H Liu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 225 | 2019 |
| A large-scale database and a CNN model for attention-based glaucoma detection L Li, M Xu, H Liu, Y Li, X Wang, L Jiang, Z Wang, X Fan, N Wang IEEE transactions on medical imaging 39 (2), 413-424, 2019 | 218 | 2019 |
| Joint learning of 3D lesion segmentation and classification for explainable COVID-19 diagnosis X Wang, L Jiang, L Li, M Xu, X Deng, L Dai, X Xu, T Li, Y Guo, Z Wang, ... IEEE transactions on medical imaging 40 (9), 2463-2476, 2021 | 59 | 2021 |
| Joint learning of multi-level tasks for diabetic retinopathy grading on low-resolution fundus images X Wang, M Xu, J Zhang, L Jiang, L Li, M He, N Wang, H Liu, Z Wang IEEE Journal of Biomedical and Health Informatics 26 (5), 2216-2227, 2021 | 36 | 2021 |
| Deep multi-task learning for diabetic retinopathy grading in fundus images X Wang, M Xu, J Zhang, L Jiang, L Li Proceedings of the AAAI Conference on Artificial Intelligence 35 (4), 2826-2834, 2021 | 28 | 2021 |
| Cortexode: Learning cortical surface reconstruction by neural odes Q Ma, L Li, EC Robinson, B Kainz, D Rueckert, A Alansary IEEE Transactions on Medical Imaging 42 (2), 430-443, 2022 | 22 | 2022 |
| Pathology-aware deep network visualization and its application in glaucoma image synthesis X Wang, M Xu, L Li, Z Wang, Z Guan Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 21 | 2019 |
| Deepgf: Glaucoma forecast using the sequential fundus images L Li, X Wang, M Xu, H Liu, X Chen Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 13 | 2020 |
| CAS-Net: Conditional atlas generation and brain segmentation for fetal MRI L Li, M Sinclair, A Makropoulos, JV Hajnal, A David Edwards, B Kainz, ... Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and …, 2021 | 9 | 2021 |
| Fetal cortex segmentation with topology and thickness loss constraints L Li, Q Ma, Z Li, C Ouyang, W Zhang, A Price, V Kyriakopoulou, ... Workshop on the Ethical and Philosophical Issues in Medical Imaging, 123-133, 2022 | 3 | 2022 |
| Robust Segmentation via Topology Violation Detection and Feature Synthesis L Li, Q Ma, C Ouyang, Z Li, Q Meng, W Zhang, M Qiao, V Kyriakopoulou, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 2 | 2023 |
| Conditional Temporal Attention Networks for Neonatal Cortical Surface Reconstruction Q Ma, L Li, V Kyriakopoulou, JV Hajnal, EC Robinson, B Kainz, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 1 | 2023 |
| CT Film Recovery via Disentangling Geometric Deformation and Illumination Variation: Simulated Datasets and Deep Models Q Quan, Q Wang, L Li, Y Du, SK Zhou arXiv preprint arXiv:2012.09491, 2020 | 1 | 2020 |
Mai XuBeihang Univeristy, Tsinghua Univeristy, Imperial College LondonVerified email at buaa.edu.cn
