| Multi-task neural networks with spatial activation for retinal vessel segmentation and artery/vein classification W Ma, S Yu, K Ma, J Wang, X Ding, Y Zheng Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 82 | 2019 |
| Multi-site infant brain segmentation algorithms: the iSeg-2019 challenge Y Sun, K Gao, Z Wu, G Li, X Zong, Z Lei, Y Wei, J Ma, X Yang, X Feng, ... IEEE Transactions on Medical Imaging 40 (5), 1363-1376, 2021 | 73 | 2021 |
| A 3D spatially weighted network for segmentation of brain tissue from MRI L Sun, W Ma, X Ding, Y Huang, D Liang, J Paisley IEEE transactions on medical imaging 39 (4), 898-909, 2019 | 59 | 2019 |
| 3dsam-adapter: Holistic adaptation of sam from 2d to 3d for promptable medical image segmentation S Gong, Y Zhong, W Ma, J Li, Z Wang, J Zhang, PA Heng, Q Dou arXiv preprint arXiv:2306.13465, 2023 | 36 | 2023 |
| Multi-sequence cardiac MR segmentation with adversarial domain adaptation network J Wang, H Huang, C Chen, W Ma, Y Huang, X Ding Statistical Atlases and Computational Models of the Heart. Multi-Sequence …, 2020 | 23 | 2020 |
| Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift W Ma, C Chen, S Zheng, J Qin, H Zhang, Q Dou MICCAI 2022, 2022 | 17 | 2022 |
| Hierarchical deep network with uncertainty-aware semi-supervised learning for vessel segmentation C Li, W Ma, L Sun, X Ding, Y Huang, G Wang, Y Yu Neural Computing and Applications, 1-14, 2022 | 11 | 2022 |
| Development of deep learning algorithms to discriminate giant cell tumors of bone from adjacent normal tissues by confocal Raman spectroscopy CPY Lau, W Ma, KY Law, MD Lacambra, KC Wong, CW Lee, OK Lee, ... Analyst 147 (7), 1425-1439, 2022 | 9 | 2022 |
| Consistent posterior distributions under vessel-mixing: a regularization for cross-domain retinal artery/vein classification C Li, Y Zhang, Z Liang, W Ma, Y Huang, X Ding 2021 IEEE International Conference on Image Processing (ICIP), 61-65, 2021 | 5 | 2021 |
| Uncertainty-guided domain alignment for layer segmentation in oct images J Wang, C Bian, M Li, X Yang, K Ma, W Ma, J Yuan, X Ding, Y Zheng arXiv preprint arXiv:1908.08242, 2019 | 4 | 2019 |
| Diffusion model based semi-supervised learning on brain hemorrhage images for efficient midline shift quantification S Gong, C Chen, Y Gong, NY Chan, W Ma, CHK Mak, J Abrigo, Q Dou International Conference on Information Processing in Medical Imaging, 69-81, 2023 | 3 | 2023 |
| Rapid model transfer for medical image segmentation via iterative human-in-the-loop update: from labelled public to unlabelled clinical datasets for multi-organ segmentation in CT W Ma, S Zheng, L Zhang, H Zhang, Q Dou 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022 | 3 | 2022 |
| Bindctnet: A simple binary dct network for image classification X Xing, X Yu, W Ma, Y Huang, D Zeng, X Ding 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 3 | 2018 |
| Causal Effect Estimation on Imaging and Clinical Data for Treatment Decision Support of Aneurysmal Subarachnoid Hemorrhage W Ma, C Chen, Y Gong, NY Chan, M Jiang, CHK Mak, JM Abrigo, Q Dou IEEE Transactions on Medical Imaging, 2024 | | 2024 |
| Treatment Outcome Prediction for Intracerebral Hemorrhage via Generative Prognostic Model with Imaging and Tabular Data W Ma, C Chen, J Abrigo, CHK Mak, Y Gong, NY Chan, C Han, Z Liu, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | | 2023 |
Xinghao DingПотвърден имейл адрес: xmu.edu.cn
