Segment anything model for medical images? Y Huang, X Yang, L Liu, H Zhou, A Chang, X Zhou, R Chen, J Yu, J Chen, ... Medical Image Analysis 92, 103061, 2024 | 126 | 2024 |
Searching collaborative agents for multi-plane localization in 3D ultrasound X Yang, Y Huang, R Huang, H Dou, R Li, J Qian, X Huang, W Shi, C Chen, ... Medical Image Analysis 72, 102119, 2021 | 29 | 2021 |
Synthesis and edition of ultrasound images via sketch guided progressive growing GANS J Liang, X Yang, H Li, Y Wang, MT Van, H Dou, C Chen, J Fang, X Liang, ... 2020 IEEE 17th international symposium on biomedical imaging (ISBI), 1793-1797, 2020 | 17 | 2020 |
Region proposal network with graph prior and IoU-balance loss for landmark detection in 3D ultrasound C Chen, X Yang, R Huang, W Shi, S Liu, M Lin, Y Huang, Y Yang, ... 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 1-5, 2020 | 15 | 2020 |
Contrastive rendering with semi-supervised learning for ovary and follicle segmentation from 3D ultrasound X Yang, H Li, Y Wang, X Liang, C Chen, X Zhou, F Zeng, J Fang, A Frangi, ... Medical Image Analysis 73, 102134, 2021 | 13 | 2021 |
Contrastive rendering for ultrasound image segmentation H Li, X Yang, J Liang, W Shi, C Chen, H Dou, R Li, R Gao, G Zhou, J Fang, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 9 | 2020 |
Locating Multiple Standard Planes in First-Trimester Ultrasound Videos via the Detection and Scoring of Key Anatomical Structures C Zhen, H Wang, J Cheng, X Yang, C Chen, X Hu, Y Zhang, Y Cao, D Ni, ... Ultrasound in medicine & biology 49 (9), 2006-2016, 2023 | 5 | 2023 |
Statistical dependency guided contrastive learning for multiple labeling in prenatal ultrasound S He, Z Lin, X Yang, C Chen, J Wang, X Shuang, Z Deng, Q Liu, Y Cao, ... Machine Learning in Medical Imaging: 12th International Workshop, MLMI 2021 …, 2021 | 4 | 2021 |
Computer-aided tumor diagnosis in automated breast ultrasound using 3d detection network J Yu, C Chen, X Yang, Y Wang, D Yan, J Zhang, D Ni Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 4 | 2020 |
Fine-grained correlation loss for regression C Chen, X Yang, R Huang, X Hu, Y Huang, X Lu, X Zhou, M Luo, Y Ye, ... International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 3 | 2022 |
Bridge segmentation performance gap via evolving shape prior C Chen, X Yang, H Dou, R Huang, X Huang, X Wang, C Duan, S Li, ... IEEE Access 8, 173961-173973, 2020 | 1 | 2020 |
FetusMapV2: Enhanced fetal pose estimation in 3D ultrasound C Chen, X Yang, Y Huang, W Shi, Y Cao, M Luo, X Hu, L Zhu, L Yu, K Yue, ... Medical Image Analysis 91, 103013, 2024 | | 2024 |
FFPN: Fourier Feature Pyramid Network for Ultrasound Image Segmentation C Chen, X Yang, R Chen, J Yu, L Du, J Wang, X Hu, Y Cao, Y Liu, D Ni International Workshop on Machine Learning in Medical Imaging, 166-175, 2023 | | 2023 |