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 | 436 | 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 | 190 | 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 | 121 | 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 | 118 | 2021 |
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 | 103 | 2021 |
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 | 95 | 2019 |
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 | 93 | 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 | 66 | 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 | 65 | 2019 |
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 | 58 | 2022 |
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 | 55 | 2016 |
How to efficiently adapt large segmentation model (sam) to medical images X Hu, X Xu, Y Shi arXiv preprint arXiv:2306.13731, 2023 | 50 | 2023 |
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 | 49 | 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 | 45 | 2015 |
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 | 43 | 2020 |
The importance of resource awareness in artificial intelligence for healthcare Z Jia, J Chen, X Xu, J Kheir, J Hu, H Xiao, S Peng, XS Hu, D Chen, Y Shi Nature Machine Intelligence 5 (7), 687-698, 2023 | 41 | 2023 |
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 | 40 | 2021 |
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 | 36 | 2019 |
Imagecas: A large-scale dataset and benchmark for coronary artery segmentation based on computed tomography angiography images A Zeng, C Wu, G Lin, W Xie, J Hong, M Huang, J Zhuang, S Bi, D Pan, ... Computerized Medical Imaging and Graphics 109, 102287, 2023 | 35 | 2023 |