| AW3M: An auto-weighting and recovery framework for breast cancer diagnosis using multi-modal ultrasound R Huang, Z Lin, H Dou, J Wang, J Miao, G Zhou, X Jia, W Xu, Z Mei, ... Medical image analysis 72, 102137, 2021 | 30 | 2021 |
| Boundary-rendering network for breast lesion segmentation in ultrasound images R Huang, M Lin, H Dou, Z Lin, Q Ying, X Jia, W Xu, Z Mei, X Yang, Y Dong, ... Medical image analysis 80, 102478, 2022 | 29 | 2022 |
| Extracting keyframes of breast ultrasound video using deep reinforcement learning R Huang, Q Ying, Z Lin, Z Zheng, L Tan, G Tang, Q Zhang, M Luo, X Yi, ... Medical Image Analysis 80, 102490, 2022 | 17 | 2022 |
| Multi-attribute attention network for interpretable diagnosis of thyroid nodules in ultrasound images VT Manh, J Zhou, X Jia, Z Lin, W Xu, Z Mei, Y Dong, X Yang, R Huang, ... IEEE transactions on ultrasonics, ferroelectrics, and frequency control 69 …, 2022 | 14 | 2022 |
| Multi-constraint latent representation learning for prognosis analysis using multi-modal data Z Ning, Z Lin, Q Xiao, D Du, Q Feng, W Chen, Y Zhang IEEE Transactions on Neural Networks and Learning Systems 34 (7), 3737-3750, 2021 | 12 | 2021 |
| Hasa: hybrid architecture search with aggregation strategy for echinococcosis classification and ovary segmentation in ultrasound images J Qian, R Li, X Yang, Y Huang, M Luo, Z Lin, W Hong, R Huang, H Fan, ... Expert Systems with Applications 202, 117242, 2022 | 8 | 2022 |
| Masked video modeling with correlation-aware contrastive learning for breast cancer diagnosis in ultrasound Z Lin, R Huang, D Ni, J Wu, B Luo MICCAI Workshop on Resource-Efficient Medical Image Analysis, 105-114, 2022 | 5 | 2022 |
| 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 |
| Biopsy or Follow-up: AI Improves the Clinical Strategy of US BI-RADS 4A Breast Nodules Using a Convolutional Neural Network M Yi, Y Lin, Z Lin, Z Xu, L Li, R Huang, W Huang, N Wang, Y Zuo, N Li, ... Clinical Breast Cancer, 2024 | | 2024 |
Ruobing HuangPost-doctoral Research Assistant, University of OxfordΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα eng.ox.ac.uk
