| 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 | 272 | 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 | 269 | 2019 |
| Joint learning of 3D lesion segmentation and classification for explainable COVID-19 diagnosis X Wang, L Jiang, L Li, M Xu, X Deng, Dai, Lisong, X Xu IEEE Transactions on Medical Imaging, 2021 | 69 | 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 | 48 | 2021 |
| Saliency-guided image translation L Jiang, M Xu, X Wang, L Sigal Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 43 | 2021 |
| Deep Multi-Task Learning for Diabetic Retinopathy Grading in Fundus Images X Wang, M Xu, J Zhang, L Jiang, L Li AAAI2021, 2021 | 37 | 2021 |
| 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 | 23 | 2019 |
| DeepGF: Glaucoma Forecast Using the Sequential Fundus Images L Li*, X Wang*, M Xu, X Chen, L Hanruo, (* denotes equal contribution) MICCAI2020, 2020 | 17 | 2020 |
| Multi-task Learning of Histology and Molecular Markers for Classifying Diffuse Glioma X Wang, S Price, C Li MICCAI 2023 (Best Paper Finalist), 2023 | 12 | 2023 |
| Multi-task learning-based immunofluorescence classification of kidney disease S Pan, Y Fu, P Chen, J Liu, W Liu, X Wang, G Cai, Z Yin, J Wu, L Tang, ... International Journal of Environmental Research and Public Health 18 (20), 10798, 2021 | 11 | 2021 |
| Assessing Face Image Quality: A Large-scale Database and a Transformer Method T Liu, S Li, M Xu, L Yang, X Wang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 4 | 2024 |
| Knowledge-driven Subspace Fusion and Gradient Coordination for Multi-modal Learning Y Zhang*, X Wang*, F Meng, C Li, (* denotes equal contribution) MICCAI 2024, 2024 | 1 | 2024 |
| Domain Game: Disentangle Anatomical Feature for Single Domain Generalized Segmentation H Chen, H Zhang, UW Chan, R Yin, X Wang, C Li arXiv preprint arXiv:2406.02125, 2024 | | 2024 |
| Cross-modal Diffusion Modelling for Super-resolved Spatial Transcriptomics X Wang, X Huang, SJ Price, C Li arXiv preprint arXiv:2404.12973, 2024 | | 2024 |
| Unified Modeling Enhanced Multimodal Learning for Precision Neuro-Oncology H Yi*, X Wang*, L Kang, C Li, (* denotes equal contribution) arXiv preprint arXiv:2406.07078, 2024, 2024 | | 2024 |
| Deep multi-task learning for nephropathy diagnosis on immunofluorescence images Y Fu, L Jiang, S Pan, P Chen, X Wang, N Dai, X Chen, M Xu Computer Methods and Programs in Biomedicine 241, 107747, 2023 | | 2023 |
Mai XuBeihang Univeristy, Tsinghua Univeristy, Imperial College LondonVerified email at buaa.edu.cn
