| Mssa-Net: Multi-Scale Self-Attention Network For Breast Ultrasound Image Segmentation M Xu, K Huang, Q Chen, X Qi 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 827-831, 2021 | 26 | 2021 |
| A Regional-Attentive Multi-Task Learning Framework for Breast Ultrasound Image Segmentation and Classification M Xu, K Huang, X Qi IEEE Access 11, 5377-5392, 2023 | 23 | 2023 |
| Multi-Task Learning with Context-Oriented Self-Attention for Breast Ultrasound Image Classification and Segmentation M Xu, K Huang, X Qi 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 1-5, 2022 | 14 | 2022 |
| NGMMs: Neutrosophic Gaussian Mixture Models for Breast Ultrasound Image Classification K Huang, M Xu, X Qi 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 6 | 2021 |
| Sparse Activation Maps for Interpreting 3D Object Detection Q Chen, P Li, M Xu, X Qi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 3 | 2021 |
| A Deep Active Learning Framework with Information Guided Label Generation for Medical Image Segmentation K Huang, J Huang, W Wang, M Xu, F Liu 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | 2 | 2022 |
| Design and Implementation of Management System of Performance Related Pay Based on Cross-Efficiency Evaluation X Zhang, M Xu, Z Zhang, Y Li, C Zhou American Journal of Information Management 1 (2), 29-34, 2016 | 1 | 2016 |
| Incorporating Tumor Edge Information for Fine-Grained BI-RADS Classification of Breast Ultrasound Images M Xu, J Huang, K Huang, FF Liu IEEE Access, 2024 | | 2024 |
| CFAB: An Online Data Augmentation to Alleviate the Spuriousness of Classification on Medical Ultrasound Images J Huang, K Huang, M Xu, F Liu International Conference on Computer Vision Systems, 91-101, 2023 | | 2023 |
| Deep Learning With Attention Mechanisms in Breast Ultrasound Image Segmentation and Classification M Xu | | 2023 |
Kuan Huang (黄宽)Assistant Professor of Computer Science, Kean UniversityVerified email at kean.edu
