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ORCIDMeng Yang 0026
Person information
- affiliation: Hunan Frontline Medical Technology Company Ltd., Changsha, China
Other persons with the same name
- Meng Yang — disambiguation page
- Meng Yang 0001
![[0000-0002-0795-3221]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-0795-3221")
— Sun Yat-Sen University, Guangzhou, China (and 2 more) - Meng Yang 0002 — Xi'an Jiaotong University, Institute of Artificial Intelligence and Robotics, and the National Engineering Laboratory for Visual Information Processing and Applications, Xi'an, China
- Meng Yang 0003 — Hangzhou Dianzi University, College of Communication Engineering, Hangzhou, China
- Meng Yang 0004 — Nanjing University of Finance and Economics, College of Information Engineering, Nanjing, China
- Meng Yang 0005 — Shenyang Normal University, School of Mathematics and Systems Science, Shenyang, China
- Meng Yang 0006 — User Experience and Customer Insights, Burlington, MA, USA
- Meng Yang 0007 — The University of Melbourne, School of Computing and Information Systems, Melbourne, Australia
- Meng Yang 0008 — Hebei University of Science and Technology, Shijiazhuang, China
- Meng Yang 0009 — North Carolina State University, Raleigh, NC, USA
- Meng Yang 0010 — Saint Mary's University, Halifax, Canada
- Meng Yang 0011 — Beijing Forestry University, School of Information Science and Technology, Beijing, China (and 1 more)
- Meng Yang 0012 — China Ship Development and Design Center, Wuhan, China
- Meng Yang 0013 — Fudan University, ASIC and System State Key Laboratory, Shanghai, China
- Meng Yang 0014 — Royal Holloway, University of London, Egham, UK
- Meng Yang 0015 — Southwest Jiaotong University, College of Mechanical Engineering, Chengdu, China (and 1 more)
- Meng Yang 0016 — Rutgers University New Brunswick, New Brunswick, NJ, USA
- Meng Yang 0017 — Dalian Polytechnic University, Dalian, China
- Meng Yang 0018 — Hohai University, Nanjing, China
- Meng Yang 0019 — Chinese University of Hong Kong, Hong Kong, SAR, China
- Meng Yang 0020 — Hebei Agricultural University, Baoding, China
- Meng Yang 0021 — ByteDance, Beijing, China
- Meng Yang 0022 — Chinese University of Hong Kong (Shenzhen), Shenzhen, China
- Meng Yang 0023 — Tongji University, Shanghai, China
- Meng Yang 0024 — Sun Yat-sen University, Guangzhou, Guangdong, China
- Meng Yang 0025 — South China Normal University, China
- Meng Yang 0027 — Ocean University of China, Qingdao, China
- Meng Yang 0028 — Jiaxing University, Jiaxing, Zhejiang, China
- Meng Yang 0029 — University of Science and Technology of China, Hefei, Anhui, CHina
- Meng Yang 0030 — Chengdu University of Technology, Chengdu, China
- Meng Yang 0031 — China University of Geosciences, Wuhan, China
- Meng Yang 0032 — Nanjing University of Information Science and Technoloy, Nanjing, China
- Meng Yang 0033 — Hong Kong Polytechnic University, Hong Kong, SAR, China
- Meng Yang 0034 — Wuhan University of Technology, Wuhan, China
- Meng Yang 0035 — MGI Tech, Shenzhen, China
- Meng Yang 0036 — Monash University, Australia
- Meng Yang 0037 — Chongqing Jiaotong University, Chongqing, China
- Meng Yang 0038 — China Three Gorges University, Yichang, Hubei, China
- Meng Yang 0039 — Peking Union Medical College Hospital, Beijing, China
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2020 – today
- 2025
[j5]Ziqi Yang, Zhongyu Li, Chen Liu, Xiangde Luo, Yu Xu, Xingguang Wang, Dou Xu, Chaoqun Li, Xiaoying Qin, Meng Yang, Long Jin:
Asymmetric co-training with explainable cell graph ensembling for histopathological image classification. Knowl. Based Syst. 330: 114489 (2025)- [i5]Xiangxiang Cui, Zhongyu Li, Xiayue Fan, Peng Huang, Ying Wang, Meng Yang, Shi Chang, Jihua Zhu:
Variable-frame CNNLSTM for Breast Nodule Classification using Ultrasound Videos. CoRR abs/2502.11481 (2025) - 2024
- [j4]Xingyue Zhao, Zhongyu Li, Xiangde Luo, Peiqi Li, Peng Huang, Jianwei Zhu, Yang Liu, Jihua Zhu, Meng Yang, Shi Chang, Jun Dong:
Ultrasound Nodule Segmentation Using Asymmetric Learning With Simple Clinical Annotation. IEEE Trans. Circuits Syst. Video Technol. 34(10): 9010-9023 (2024) - [j3]Xiang Luo, Zhongyu Li, Canhua Xu, Bite Zhang, Liangliang Zhang, Jihua Zhu, Peng Huang, Xin Wang, Meng Yang, Shi Chang:
Semi-Supervised Thyroid Nodule Detection in Ultrasound Videos. IEEE Trans. Medical Imaging 43(5): 1792-1803 (2024) - [c5]Xingyue Zhao, Peiqi Li, Xiangde Luo, Meng Yang, Shi Chang, Zhongyu Li:
Sam-Driven Weakly Supervised Nodule Segmentation with Uncertainty-Aware Cross Teaching. ISBI 2024: 1-5 - [i4]Xingyue Zhao, Zhongyu Li, Xiangde Luo, Peiqi Li, Peng Huang, Jianwei Zhu, Yang Liu, Jihua Zhu, Meng Yang, Shi Chang, Jun Dong:
Ultrasound Nodule Segmentation Using Asymmetric Learning with Simple Clinical Annotation. CoRR abs/2404.14852 (2024) - [i3]Xingyue Zhao, Peiqi Li, Xiangde Luo, Meng Yang, Shi Chang, Zhongyu Li:
SAM-Driven Weakly Supervised Nodule Segmentation with Uncertainty-Aware Cross Teaching. CoRR abs/2407.13553 (2024) - 2023
- [j2]Zhongyu Li, Chaoqun Li, Xiangde Luo, Yitian Zhou, Jihua Zhu, Cunbao Xu, Meng Yang, Yenan Wu, Yifeng Chen:
Toward Source-Free Cross Tissues Histopathological Cell Segmentation via Target-Specific Finetuning. IEEE Trans. Medical Imaging 42(9): 2666-2677 (2023) - [c4]Xingguang Wang, Zhongyu Li, Xiangde Luo, Jing Wan, Jianwei Zhu, Ziqi Yang, Meng Yang, Cunbao Xu:
Black-box Domain Adaptative Cell Segmentation via Multi-source Distillation. MICCAI (1) 2023: 749-758 - [i2]Ziqi Yang, Zhongyu Li, Chen Liu, Xiangde Luo, Xingguang Wang, Dou Xu, Chaoqun Li, Xiaoying Qin, Meng Yang, Long Jin:
Asymmetric Co-Training with Explainable Cell Graph Ensembling for Histopathological Image Classification. CoRR abs/2308.12737 (2023) - 2022
- [c3]Yuchen Wang, Zhongyu Li, Xiangxiang Cui, Liangliang Zhang, Xiang Luo, Meng Yang, Shi Chang:
Key-frame Guided Network for Thyroid Nodule Recognition Using Ultrasound Videos. MICCAI (4) 2022: 238-247 - [i1]Yuchen Wang, Zhongyu Li, Xiangxiang Cui, Liangliang Zhang, Xiang Luo, Meng Yang, Shi Chang:
Key-frame Guided Network for Thyroid Nodule Recognition using Ultrasound Videos. CoRR abs/2206.13318 (2022) - 2021
- [j1]Xiangxiang Cui, Shi Chang, Chen Li, Bin Kong, Lihua Tian, Hongqiang Wang, Peng Huang, Meng Yang, Yenan Wu, Zhongyu Li:
DEAttack: A differential evolution based attack method for the robustness evaluation of medical image segmentation. Neurocomputing 465: 38-52 (2021) - [c2]Chaoqun Li, Yitian Zhou, Tangqi Shi, Yenan Wu, Meng Yang, Zhongyu Li:
Unsupervised Domain Adaptation for the Histopathological Cell Segmentation through Self-Ensembling. COMPAY@MICCAI 2021: 151-158 - [c1]Chang Cai, Dou Xu, Chaowei Fang, Meng Yang, Zhongyu Li:
Graph Neural Networks for the Cross-Domain Histopathological Image Classification. ISBI 2021: 1953-1957
Coauthor Index
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