| Development and validation of a novel computed-tomography enterography radiomic approach for characterization of intestinal fibrosis in Crohn’s disease X Li, D Liang, J Meng, J Zhou, Z Chen, S Huang, B Lu, Y Qiu, ME Baker, ... Gastroenterology 160 (7), 2303-2316. e11, 2021 | 79 | 2021 |
| Three dimensional convolutional neural network-based classification of conduct disorder with structural MRI J Zhang, X Li, Y Li, M Wang, B Huang, S Yao, L Shen Brain imaging and behavior 14, 2333-2340, 2020 | 32 | 2020 |
| Multivoxel pattern analysis of structural MRI in children and adolescents with conduct disorder J Zhang, W Cao, M Wang, N Wang, S Yao, B Huang Brain imaging and behavior 13, 1273-1280, 2019 | 26 | 2019 |
| Accurate and feasible deep learning based semi-automatic segmentation in CT for radiomics analysis in pancreatic neuroendocrine neoplasms B Huang, X Lin, J Shen, X Chen, J Chen, ZP Li, M Wang, C Yuan, XF Diao, ... IEEE Journal of Biomedical and Health Informatics 25 (9), 3498-3506, 2021 | 24 | 2021 |
| Predicting the recurrence risk of pancreatic neuroendocrine neoplasms after radical resection using deep learning radiomics with preoperative computed tomography images C Song, M Wang, Y Luo, J Chen, Z Peng, Y Wang, H Zhang, ZP Li, J Shen, ... Annals of Translational Medicine 9 (10), 2021 | 20 | 2021 |
| Dynamic measurement of pennation angle of gastrocnemius muscles obtained from ultrasound images based on gradient Radon transform C Yuan, Z Chen, M Wang, J Zhang, K Sun, Y Zhou Biomedical Signal Processing and Control 55, 101604, 2020 | 18 | 2020 |
| Automatic segmentation and classification of thyroid nodules in ultrasound images with convolutional neural networks M Wang, C Yuan, D Wu, Y Zeng, S Zhong, W Qiu Segmentation, Classification, and Registration of Multi-modality Medical …, 2021 | 17 | 2021 |
| Noninvasive identification of HER2-low-positive status by MRI-based deep learning radiomics predicts the disease-free survival of patients with breast cancer Y Guo, X Xie, W Tang, S Chen, M Wang, Y Fan, C Lin, W Hu, J Yang, ... European Radiology 34 (2), 899-913, 2024 | 14 | 2024 |
| 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 | 4 | 2023 |
| CCHCR1-astrin interaction promotes centriole duplication through recruitment of CEP72 Z Ying, K Wang, J Wu, M Wang, J Yang, X Wang, G Zhou, H Chen, H Xu, ... BMC biology 20 (1), 240, 2022 | 3 | 2022 |
| An interpretable two-branch bi-coordinate network based on multi-grained domain knowledge for classification of thyroid nodules in ultrasound images M Wang, C Chen, Z Xu, L Xu, W Zhan, J Xiao, Y Hou, B Huang, L Huang, ... Medical Image Analysis 97, 103255, 2024 | 2 | 2024 |
| Improving tumor classification by reusing self-predicted segmentation of medical images as guiding knowledge X Lin, M Wang, F Li, Z Xu, J Chen, X Chen, C Yuan, S Wu, Y Luo, J Shen, ... IEEE Journal of Biomedical and Health Informatics, 2023 | 2 | 2023 |
| Integrating with segmentation by using multi-task learning improves classification performance in medical image analysis Y Li, Y Zhao, M Wang, F Li, J Chen, Y Luo, ST Feng, X Lin, B Huang 2022 IEEE 35th International Symposium on Computer-Based Medical Systems …, 2022 | 2 | 2022 |
| 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 | 1 | 2023 |
| Class-Balancing Deep Active Learning with Auto-Feature Mixing and Minority Push-Pull Sampling H Lin, C Zhang, M Wang, B Huang, J Shao, J Zhang, Z Gao, X Diao, ... International Conference on Medical Image Computing and Computer-Assisted …, 2024 | | 2024 |
Bingsheng HuangAssociate Professor, School of Biomedical Engineering, Shenzhen UniversityVerified email at szu.edu.cn
