| Scaling for edge inference of deep neural networks X Xu, Y Ding, SX Hu, M Niemier, J Cong, Y Hu, Y Shi Nature Electronics 1 (4), 216-222, 2018 | 407 | 2018 |
| Mdu-net: Multi-scale densely connected u-net for biomedical image segmentation J Zhang, Y Zhang, Y Jin, J Xu, X Xu Health Information Science and Systems 11 (1), 13, 2023 | 160 | 2023 |
| Quantization of fully convolutional networks for accurate biomedical image segmentation X Xu, Q Lu, L Yang, S Hu, D Chen, Y Hu, Y Shi Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 114 | 2018 |
| Semi-supervised contrastive learning for label-efficient medical image segmentation X Hu, D Zeng, X Xu, Y Shi Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 96 | 2021 |
| On neural architecture search for resource-constrained hardware platforms Q Lu, W Jiang, X Xu, Y Shi, J Hu arXiv preprint arXiv:1911.00105, 2019 | 89 | 2019 |
| Dac-sdc low power object detection challenge for uav applications X Xu, X Zhang, B Yu, XS Hu, C Rowen, J Hu, Y Shi IEEE transactions on pattern analysis and machine intelligence 43 (2), 392-403, 2019 | 86 | 2019 |
| Positional contrastive learning for volumetric medical image segmentation D Zeng, Y Wu, X Hu, X Xu, H Yuan, M Huang, J Zhuang, J Hu, Y Shi Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 84 | 2021 |
| Whole heart and great vessel segmentation in congenital heart disease using deep neural networks and graph matching X Xu, T Wang, Y Shi, H Yuan, Q Jia, M Huang, J Zhuang Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 57 | 2019 |
| Pyramid u-net for retinal vessel segmentation J Zhang, Y Zhang, X Xu ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 53 | 2021 |
| Body-earth mover’s distance: A matching-based approach for sleep posture recognition X Xu, F Lin, A Wang, Y Hu, MC Huang, W Xu IEEE transactions on biomedical circuits and systems 10 (5), 1023-1035, 2016 | 51 | 2016 |
| Msu-net: Multiscale statistical u-net for real-time 3d cardiac mri video segmentation T Wang, J Xiong, X Xu, M Jiang, H Yuan, M Huang, J Zhuang, Y Shi Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 48 | 2019 |
| Machine vision guided 3d medical image compression for efficient transmission and accurate segmentation in the clouds Z Liu, X Xu, T Liu, Q Liu, Y Wang, Y Shi, W Wen, M Huang, H Yuan, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 46 | 2019 |
| On-bed sleep posture recognition based on body-earth mover's distance X Xu, F Lin, A Wang, C Song, Y Hu, W Xu 2015 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-4, 2015 | 42 | 2015 |
| Fairprune: Achieving fairness through pruning for dermatological disease diagnosis Y Wu, D Zeng, X Xu, Y Shi, J Hu International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 38 | 2022 |
| Imagechd: A 3d computed tomography image dataset for classification of congenital heart disease X Xu, T Wang, J Zhuang, H Yuan, M Huang, J Cen, Q Jia, Y Dong, Y Shi Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 34 | 2020 |
| Exploiting computation power of blockchain for biomedical image segmentation B Li, C Chenli, X Xu, T Jung, Y Shi Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 33 | 2019 |
| Accelerating dynamic time warping with memristor-based customized fabrics X Xu, F Lin, A Wang, X Yao, Q Lu, W Xu, Y Shi, Y Hu IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2017 | 33 | 2017 |
| Objectaug: object-level data augmentation for semantic image segmentation J Zhang, Y Zhang, X Xu 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 31 | 2021 |
| GAC-GAN: A general method for appearance-controllable human video motion transfer D Wei, X Xu, H Shen, K Huang IEEE Transactions on Multimedia 23, 2457-2470, 2020 | 31 | 2020 |
| Uncertainty-aware training of neural networks for selective medical image segmentation Y Ding, J Liu, X Xu, M Huang, J Zhuang, J Xiong, Y Shi Medical Imaging with Deep Learning, 156-173, 2020 | 29 | 2020 |
Yiyu ShiUniversity of Notre Dame在 nd.edu 的电子邮件经过验证
