Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 7 Affordable and Clean Energy
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Dive into the research topics where Jianhua Huang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Incorporating Tumor Edge Information for Fine-Grained BI-RADS Classification of Breast Ultrasound Images
Xu, M., Huang, J., Huang, K. & Liu, F., 2024, In: IEEE Access. 12, p. 38732-38744 13 p.Research output: Contribution to journal › Article › peer-review
Open Access9 Link opens in a new tab Scopus citations -
Weakly supervised chest X-ray abnormality localization with non-linear modulation and foreground control
Wang, T., Huang, K., Xu, M. & Huang, J., Dec 2024, In: Scientific Reports. 14, 1, 29181.Research output: Contribution to journal › Article › peer-review
Open Access2 Link opens in a new tab Scopus citations -
CFAB: An Online Data Augmentation to Alleviate the Spuriousness of Classification on Medical Ultrasound Images
Huang, J., Huang, K., Xu, M. & Liu, F., 2023, Computer Vision Systems - 14th International Conference, ICVS 2023, Proceedings. Christensen, H. I., Corke, P., Detry, R., Weibel, J.-B. & Vincze, M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 91-101 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14253 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2 Link opens in a new tab Scopus citations -
A Deep Active Learning Framework with Information Guided Label Generation for Medical Image Segmentation
Huang, K., Huang, J., Wang, W., Xu, M. & Liu, F., 2022, Proceedings - 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022. Adjeroh, D., Long, Q., Shi, X., Guo, F., Hu, X., Aluru, S., Narasimhan, G., Wang, J., Kang, M., Mondal, A. M. & Liu, J. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 1562-1567 6 p. (Proceedings - 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
3 Link opens in a new tab Scopus citations -
Differential diagnosis between small breast phyllodes tumors and fibroadenomas using artificial intelligence and ultrasound data
Niu, S., Huang, J., Li, J., Liu, X., Wang, D., Wang, Y., Shen, H., Qi, M., Xiao, Y., Guan, M., Li, D., Liu, F., Wang, X., Xiong, Y., Gao, S., Wang, X., Yu, P. & Zhu, J., May 2021, In: Quantitative Imaging in Medicine and Surgery. 11, 5, p. 2052-2061 10 p.Research output: Contribution to journal › Article › peer-review
Open Access14 Link opens in a new tab Scopus citations