| Selective Feature Aggregation Network with Area-Boundary Constraints for Polyp Segmentation Y Fang, C Chen, Y Yuan, K Tong International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 164 | 2019 |
| DICCCOL: dense individualized and common connectivity-based cortical landmarks D Zhu, K Li, L Guo, X Jiang, T Zhang, D Zhang, H Chen, F Deng, C Faraco, ... Cerebral cortex 23 (4), 786-800, 2013 | 163 | 2013 |
| Deep learning for polyp recognition in wireless capsule endoscopy images Y Yuan, MQH Meng Medical Physics 44 (4), 1379-1389, 2017 | 162 | 2017 |
| Deep neural network ensemble for pneumonia localization from a large-scale chest x-ray database I Sirazitdinov, M Kholiavchenko, T Mustafaev, Y Yixuan, R Kuleev, ... Computers & electrical engineering 78, 388-399, 2019 | 157 | 2019 |
| Bleeding frame and region detection in the wireless capsule endoscopy video Y Yuan, B Li, MQH Meng IEEE journal of biomedical and health informatics 20 (2), 624-630, 2015 | 143 | 2015 |
| Saliency based ulcer detection for wireless capsule endoscopy diagnosis Y Yuan, J Wang, B Li, MQH Meng IEEE transactions on medical imaging 34 (10), 2046-2057, 2015 | 129 | 2015 |
| Improved bag of feature for automatic polyp detection in wireless capsule endoscopy images Y Yuan, B Li, MQH Meng IEEE Transactions on automation science and engineering 13 (2), 529-535, 2015 | 116 | 2015 |
| Axonal fiber terminations concentrate on gyri J Nie, L Guo, K Li, Y Wang, G Chen, L Li, H Chen, F Deng, X Jiang, ... Cerebral cortex 22 (12), 2831-2839, 2012 | 107 | 2012 |
| Prostate Cancer Classification with Multi‐parametric MRI Transfer Learning Model Y Yuan, W Qin, M Buyyounouski, B Ibragimov, S Hancock, B Han, L Xing Medical Physics 46 (2), 756-765, 2019 | 105 | 2019 |
| Development of deep neural network for individualized hepatobiliary toxicity prediction after liver SBRT B Ibragimov, D Toesca, D Chang, Y Yuan, A Koong, L Xing Medical physics 45 (10), 4763-4774, 2018 | 104 | 2018 |
| Superpixel-based and boundary-sensitive convolutional neural network for automated liver segmentation W Qin, J Wu, F Han, Y Yuan, W Zhao, B Ibragimov, J Gu, L Xing Physics in Medicine & Biology 63 (9), 095017, 2018 | 93 | 2018 |
| Ground-aware monocular 3d object detection for autonomous driving Y Liu, Y Yixuan, M Liu IEEE Robotics and Automation Letters 6 (2), 919-926, 2021 | 77 | 2021 |
| MetaCorrection: Domain-aware Meta Loss Correction for Unsupervised Domain Adaptation in Semantic Segmentation X Guo, C Yang, B Li, Y Yuan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 64 | 2021 |
| WCE abnormality detection based on saliency and adaptive locality-constrained linear coding Y Yuan, B Li, MQH Meng IEEE Transactions on Automation Science and Engineering 14 (1), 149-159, 2016 | 61 | 2016 |
| Automatic polyp recognition in colonoscopy images using deep learning and two-stage pyramidal feature prediction X Jia, X Mai, Y Cui, Y Yuan, X Xing, H Seo, L Xing, MQH Meng IEEE Transactions on Automation Science and Engineering 17 (3), 1570-1584, 2020 | 57 | 2020 |
| Inferring group-wise consistent multimodal brain networks via multi-view spectral clustering H Chen, K Li, D Zhu, X Jiang, Y Yuan, P Lv, T Zhang, L Guo, D Shen, ... IEEE transactions on medical imaging 32 (9), 1576-1586, 2013 | 54 | 2013 |
| VisDrone-DET2021: The Vision Meets Drone Object detection Challenge Results Y Cao, Z He, L Wang, W Wang, Y Yuan, D Zhang, J Zhang, P Zhu, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 50 | 2021 |
| Wireless capsule endoscopy: A new tool for cancer screening in the colon with deep-learning-based polyp recognition X Jia, X Xing, Y Yuan, L Xing, MQH Meng Proceedings of the IEEE 108 (1), 178-197, 2019 | 49 | 2019 |
| Multi‐subtype classification model for non‐small cell lung cancer based on radiomics: SLS model J Liu, J Cui, F Liu, Y Yuan, F Guo, G Zhang Medical physics 46 (7), 3091-3100, 2019 | 46 | 2019 |
| Automatic polyp detection via a novel unified bottom-up and top-down saliency approach Y Yuan, D Li, MQH Meng IEEE journal of biomedical and health informatics 22 (4), 1250-1260, 2017 | 46 | 2017 |
Max Q.-H. MengThe Chinese University of Hong KongVerified email at cuhk.edu.hk
