| AADS: Augmented autonomous driving simulation using data-driven algorithms W Li, CW Pan, R Zhang, JP Ren, YX Ma, J Fang, FL Yan, QC Geng, ... Science robotics 4 (28), eaaw0863, 2019 | 184 | 2019 |
| A clinically applicable deep-learning model for detecting intracranial aneurysm in computed tomography angiography images Z Shi, C Miao, UJ Schoepf, RH Savage, DM Dargis, C Pan, X Chai, XL Li, ... Nature communications 11 (1), 6090, 2020 | 122 | 2020 |
| Advances in deep learning-based medical image analysis X Liu, K Gao, B Liu, C Pan, K Liang, L Yan, J Ma, F He, S Zhang, S Pan, ... Health Data Science 2021, 2021 | 100 | 2021 |
| Artificial intelligence in the management of intracranial aneurysms: current status and future perspectives Z Shi, B Hu, UJ Schoepf, RH Savage, DM Dargis, CW Pan, XL Li, QQ Ni, ... American Journal of Neuroradiology 41 (3), 373-379, 2020 | 80 | 2020 |
| Globally guided progressive fusion network for 3D pancreas segmentation C Fang, G Li, C Pan, Y Li, Y Yu Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 45 | 2019 |
| Reliable mutual distillation for medical image segmentation under imperfect annotations C Fang, Q Wang, L Cheng, Z Gao, C Pan, Z Cao, Z Zheng, D Zhang IEEE Transactions on Medical Imaging 42 (6), 1720-1734, 2023 | 33 | 2023 |
| MFI-Net: Multiscale feature interaction network for retinal vessel segmentation Y Ye, C Pan, Y Wu, S Wang, Y Xia IEEE Journal of Biomedical and Health Informatics 26 (9), 4551-4562, 2022 | 30 | 2022 |
| Learning hybrid representations for automatic 3D vessel centerline extraction J He, C Pan, C Yang, M Zhang, Y Wang, X Zhou, Y Yu Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 28 | 2020 |
| Graph convolution based cross-network multiscale feature fusion for deep vessel segmentation G Zhao, K Liang, C Pan, F Zhang, X Wu, X Hu, Y Yu IEEE transactions on medical imaging 42 (1), 183-195, 2022 | 25 | 2022 |
| Virtual-real fusion with dynamic scene from videos C Pan, Y Chen, G Wang 2016 International Conference on Cyberworlds (CW), 65-72, 2016 | 20 | 2016 |
| Lightm-unet: Mamba assists in lightweight unet for medical image segmentation W Liao, Y Zhu, X Wang, C Pan, Y Wang, L Ma arXiv preprint arXiv:2403.05246, 2024 | 17 | 2024 |
| Deep 3D vessel segmentation based on cross transformer network C Pan, B Qi, G Zhao, J Liu, C Fang, D Zhang, J Li 2022 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2022 | 9 | 2022 |
| GREN: graph-regularized embedding network for weakly-supervised disease localization in X-ray images B Qi, G Zhao, X Wei, C Du, C Pan, Y Yu, J Li IEEE Journal of Biomedical and Health Informatics 26 (10), 5142-5153, 2022 | 8 | 2022 |
| Comparison of automated and manual DWI-ASPECTS in acute ischemic stroke: total and region-specific assessment XQ Cheng, XQ Su, JQ Shi, QH Liu, CS Zhou, Z Dong, W Xing, HT Lu, ... European Radiology 31, 4130-4137, 2021 | 8 | 2021 |
| Segmentation-based method combined with dynamic programming for brain midline delineation S Wang, K Liang, C Pan, C Ye, X Li, F Liu, Y Yu, Y Wang 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 772-776, 2020 | 7 | 2020 |
| REALM: RAG-Driven Enhancement of Multimodal Electronic Health Records Analysis via Large Language Models Y Zhu, C Ren, S Xie, S Liu, H Ji, Z Wang, T Sun, L He, Z Li, X Zhu, C Pan arXiv preprint arXiv:2402.07016, 2024 | 6 | 2024 |
| A clinically applicable deep-learning model for detecting intracranial aneurysm in computed tomography angiography images. Nat Commun. 2020; 11 (1): 6090 Z Shi, C Miao, UJ Schoepf, RH Savage, DM Dargis, C Pan, X Chai, XL Li, ... DOI: https://doi. org/10.1038/s41467-020-19527-w. PMID: https://www. ncbi …, 0 | 6 | |
| Cybersecurity knowledge graphs construction and quality assessment H Li, Z Shi, C Pan, D Zhao, N Sun Complex & Intelligent Systems 10 (1), 1201-1217, 2024 | 5 | 2024 |
| Computer-aided tuberculosis diagnosis with attribute reasoning assistance C Pan, G Zhao, J Fang, B Qi, J Liu, C Fang, D Zhang, J Li, Y Yu International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 4 | 2022 |
| Reliability and reproducibility of the diameters method in rapid determination of acute infarct volume in magnetic resonance diffusion-weighted imaging XQ Cheng, QH Liu, JQ Shi, CS Zhou, XQ Su, Z Dong, W Xing, HT Lu, ... Cerebrovascular Diseases 49 (6), 575-582, 2020 | 4 | 2020 |
Yizhou YuThe University of Hong Kong, IEEE Fellow在 acm.org 的电子邮件经过验证
