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Minhao Wang
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2020 – today
- 2024
- [c2]Guanhua Zhu, Xiaoling Xu, Qing Zhong, Bing-Yuh Lu, Yushen Lu, Guangming Xu, Yumeng Zhou, Ziyi Jiang, Kai Sun, Minhao Wang:
Time-frequency Analysis for Validating Prognostics Algorithms of Rolling Element Bearings. ICACT 2024: 327-331 - 2022
- [j4]Qinghao Ye, Yuan Gao, Weiping Ding, Zhangming Niu, Chengjia Wang, Yinghui Jiang, Minhao Wang, Evandro Fei Fang, Wade Menpes-Smith, Jun Xia, Guang Yang:
Robust weakly supervised learning for COVID-19 recognition using multi-center CT images. Appl. Soft Comput. 116: 108291 (2022) - 2021
- [j3]Keji Mao, Lijian Chen, Minhao Wang, Ruiji Xu, Xiaomin Zhao:
Classification of hand-wrist maturity level based on similarity matching. IET Image Process. 15(12): 2866-2879 (2021) - [i2]Qinghao Ye, Yuan Gao, Weiping Ding, Zhangming Niu, Chengjia Wang, Yinghui Jiang, Minhao Wang, Evandro Fei Fang, Wade Menpes-Smith, Jun Xia, Guang Yang:
Robust Weakly Supervised Learning for COVID-19 Recognition Using Multi-Center CT Images. CoRR abs/2112.04984 (2021) - 2020
- [j2]Shaoping Hu, Yuan Gao, Zhangming Niu, Yinghui Jiang, Lao Li, Xianglu Xiao, Minhao Wang, Evandro Fei Fang, Wade Menpes-Smith, Jun Xia, Hui Ye, Guang Yang:
Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification From CT Images. IEEE Access 8: 118869-118883 (2020) - [i1]Shaoping Hu, Yuan Gao, Zhangming Niu, Yinghui Jiang, Lao Li, Xianglu Xiao, Minhao Wang, Evandro Fei Fang, Wade Menpes-Smith, Jun Xia, Hui Ye, Guang Yang:
Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification from CT Images. CoRR abs/2004.06689 (2020)
2010 – 2019
- 2019
- [j1]Lijian Chen, Xiannian Zhou, Minhao Wang, Jiefan Qiu, Mingsheng Cao, Keji Mao:
ARU-Net: Research and Application for Wrist Reference Bone Segmentation. IEEE Access 7: 166930-166938 (2019) - [c1]Lijian Chen, Xiannian Zhou, Minhao Wang, Jiefan Qiu, Siyi Liu, Keji Mao:
ARU-Net: Research and Application for Wrist Reference Bone Segmentation. WiMob 2019: 1-5
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last updated on 2024-11-05 21:01 CET by the dblp team
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