| Fully automated delineation of gross tumor volume for head and neck cancer on PETCT using deep learning: A dualcenter study B Huang, Z Chen, PM Wu, Y Ye, ST Feng, CYO Wong, L Zheng, Y Liu, ... Contrast media & molecular imaging 2018 (1), 8923028, 2018 | 103 | 2018 |
| Colorectal polyp segmentation using a fully convolutional neural network Q Li, G Yang, Z Chen, B Huang, L Chen, D Xu, X Zhou, S Zhong, H Zhang, ... 2017 10th international congress on image and signal processing, biomedical …, 2017 | 87 | 2017 |
| Fully-automated segmentation of nasopharyngeal carcinoma on dual-sequence MRI using convolutional neural networks Y Ye, Z Cai, B Huang, Y He, P Zeng, G Zou, W Deng, H Chen, B Huang Frontiers in oncology 10, 166, 2020 | 51 | 2020 |
| 3D lightweight network for simultaneous registration and segmentation of organs-at-risk in CT images of head and neck cancer B Huang, Y Ye, Z Xu, Z Cai, Y He, Z Zhong, L Liu, X Chen, H Chen, ... IEEE Transactions on Medical Imaging 41 (4), 951-964, 2021 | 19 | 2021 |
| Diagnosis of significant liver fibrosis in patients with chronic hepatitis B using a deep learning-based data integration network Z Liu, H Wen, Z Zhu, Q Li, L Liu, T Li, W Xu, C Hou, B Huang, Z Li, C Dong, ... Hepatology International 16 (3), 526-536, 2022 | 12 | 2022 |
| A deep learning model with data integration of ultrasound contrast-enhanced micro-flow cines, B-mode images, and clinical parameters for diagnosing significant liver fibrosis … Z Liu, W Li, Z Zhu, H Wen, M Li, C Hou, H Shen, B Huang, Y Luo, W Wang, ... European Radiology 33 (8), 5871-5881, 2023 | 4 | 2023 |
| Patients and slides are equal: A multi-level multi-instance learning framework for pathological image analysis F Li, M Wang, B Huang, X Duan, Z Zhang, Z Ye, B Huang International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 3 | 2023 |
| Automatic Diagnosis of Significant Liver Fibrosis From Ultrasound B-Mode Images Using a Handcrafted-Feature-Assisted Deep Convolutional Neural Network Z Liu, B Huang, H Wen, Z Lu, Q Huang, M Jiang, C Dong, Y Liu, X Chen, ... IEEE Journal of Biomedical and Health Informatics, 2023 | 2 | 2023 |
| Lightweight cascade framework for optic disc segmentation X Zhang, J Liu, S Wang, Z Chen, B Huang, J Ye IET Image Processing 13 (10), 1805-1810, 2019 | 2 | 2019 |
| Automated Segmentation of Nasopharyngeal Carcinoma Based on Dual-Sequence Magnetic Resonance Imaging Using Self-supervised Learning Z Cai, Y Ye, Z Zhong, H Lin, Z Xu, B Huang, W Deng, Q Wu, K Lei, J Lyu, ... International Workshop on Computational Mathematics Modeling in Cancer …, 2023 | 1 | 2023 |
| A Style Transfer-Based Augmentation Framework for Improving Segmentation and Classification Performance Across Different Sources in Ultrasound Images B Huang, Z Xu, SC Chan, Z Liu, H Wen, C Hou, Q Huang, M Jiang, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 1 | 2023 |
| Progressive Generative Adversarial Networks: Deep Learning in Head and Neck Cancer CT Images to Synthesized PET Images Generation for Hybrid PET/CT Application B Huang, Z Chen, M Law, S Feng, Q Li, B Huang DEStech Trans Comput Sci Eng [Internet], 2018 | 1 | 2018 |
| Self-feedback Transformer: A Multi-label Diagnostic Model for Real-World Pancreatic Neuroendocrine Neoplasms Data M Wang, Y Li, B Huang, C Yuan, Y Wang, Y Luo, B Huang International Conference on Medical Image Computing and Computer-Assisted …, 2023 | | 2023 |
| Correction: A deep learning model with data integration of ultrasound contrast-enhanced micro-flow cines, B-mode images, and clinical parameters for diagnosing significant … Z Liu, W Li, Z Zhu, H Wen, C Hou, H Shen, B Huang, Y Luo, W Wang, ... European radiology 33 (8), 5908, 2023 | | 2023 |
| Full Spatial Muscle Fiber Orientation Estimation From Ultrasound Images Using a Multitask Deformable Residual Neural Network B Huang, Z Liu, R Mao, S Chen, X Chen 2023 45th Annual International Conference of the IEEE Engineering in …, 2023 | | 2023 |
