| BUSIS: a benchmark for breast ultrasound image segmentation Y Zhang, M Xian, HD Cheng, B Shareef, J Ding, F Xu, K Huang, B Zhang, ... Healthcare 10 (4), 729, 2022 | 100* | 2022 |
| Semantic segmentation of breast ultrasound image with fuzzy deep learning network and breast anatomy constraints K Huang, Y Zhang, HD Cheng, P Xing, B Zhang Neurocomputing 450, 319-335, 2021 | 46* | 2021 |
| Medical knowledge constrained semantic breast ultrasound image segmentation K Huang, HD Cheng, Y Zhang, B Zhang, P Xing, C Ning 2018 24th International Conference on Pattern Recognition (ICPR), 1193-1198, 2018 | 40 | 2018 |
| 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 | 22 | 2023 |
| Shape-adaptive convolutional operator for breast ultrasound image segmentation K Huang, Y Zhang, HD Cheng, P Xing 2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021 | 19 | 2021 |
| Computer-aided knee joint magnetic resonance image segmentation-a survey B Zhang, Y Zhang, HD Cheng, M Xian, S Gai, O Cheng, K Huang arXiv preprint arXiv:1802.04894, 2018 | 15 | 2018 |
| 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 |
| MSF-GAN: Multi-scale fuzzy generative adversarial network for breast ultrasound image segmentation K Huang, Y Zhang, HD Cheng, P Xing 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 7 | 2021 |
| Preliminary results of computer-aided diagnosis for magnetic resonance imaging of solid breast lesions Q Yu, K Huang, Y Zhu, X Chen, W Meng Breast Cancer Research and Treatment 177, 419-426, 2019 | 7 | 2019 |
| A hybrid framework for tumor saliency estimation F Xu, M Xian, Y Zhang, K Huang, HD Cheng, B Zhang, J Ding, C Ning, ... 2018 24th International Conference on Pattern Recognition (ICPR), 3935-3940, 2018 | 7 | 2018 |
| 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 |
| Semantic segmentation of breast ultrasound image with pyramid fuzzy uncertainty reduction and direction connectedness feature K Huang, Y Zhang, HD Cheng, P Xing, B Zhang 2020 25th International Conference on Pattern Recognition (ICPR), 3357-3364, 2021 | 5 | 2021 |
| Transformers and LLMs as the New Benchmark in Early Cancer Detection Y Kumar, K Huang, Z Gordon, L Castro, E Okumu, P Morreale, JJ Li ITM Web of Conferences 60, 00004, 2024 | 2 | 2024 |
| Natural Language Coding (NLC) for Autonomous Stock Trading: A New Dimension in No-Code/Low-Code (NCLC) AI Y Kumar, W Li, K Huang, M Thompson, B Hannon 2023 IEEE 23rd International Conference on Software Quality, Reliability …, 2023 | 2 | 2023 |
| Trustworthy breast ultrasound image semantic segmentation based on fuzzy uncertainty reduction K Huang, Y Zhang, HD Cheng, P Xing Healthcare 10 (12), 2480, 2022 | 2 | 2022 |
| 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 |
| Interpretable fine-grained BI-RADS classification of breast tumors Y Xiao, K Huang, S Niu, J Huang 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 2 | 2021 |
| Applying Swin Architecture to diverse Sign Language Datasets Y Kumar, K Huang, CC Lin, A Watson, JJ Li, P Morreale, J Delgado Electronics 13 (8), 1509, 2024 | | 2024 |
| Incorporating Tumor Edge Information for Fine-Grained BI-RADS Classification of Breast Ultrasound Images M Xu, J Huang, K Huang, F Liu IEEE Access, 2024 | | 2024 |
Meng XuAssistant Professor of Computer Science, Kean UniversityAdresse e-mail validée de kean.edu
