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2020 – today
- 2024
[i6]Guanghao Zhu, Lin Liu, Yuhao Hu, Haixin Sun, Fang Liu, Xiaohui Du, Ruqian Hao, Juanxiu Liu, Yong Liu, Hao Deng, Jing Zhang:
SKD-TSTSAN: Three-Stream Temporal-Shift Attention Network Based on Self-Knowledge Distillation for Micro-Expression Recognition. CoRR abs/2406.17538 (2024)- [i5]Guanghao Zhu, Jing Zhang, Juanxiu Liu, Xiaohui Du, Ruqian Hao, Yong Liu, Lin Liu:
AstMatch: Adversarial Self-training Consistency Framework for Semi-Supervised Medical Image Segmentation. CoRR abs/2406.19649 (2024) - [i4]Guanghao Zhu, Lin Liu, Jing Zhang, Xiaohui Du, Ruqian Hao, Juanxiu Liu:
UADSN: Uncertainty-Aware Dual-Stream Network for Facial Nerve Segmentation. CoRR abs/2407.00297 (2024) - [i3]Miao Yan, Ping Zhang, Haofei Zhang, Ruqian Hao, Juanxiu Liu, Xiaoyang Wang, Lin Liu:
Coordinate-Aware Thermal Infrared Tracking Via Natural Language Modeling. CoRR abs/2407.08265 (2024) - 2023
- [j6]Jiaxi Zhao, Lin Liu, Tianhe Wang, Xiangzhou Wang
, Xiaohui Du, Ruqian Hao, Juanxiu Liu, Jing Zhang:
Synchronous Phase-Shifting Interference for High Precision Phase Imaging of Objects Using Common Optics. Sensors 23(9): 4339 (2023) - 2022
- [j5]Xiaohui Du, Xiangzhou Wang, Guangming Ni, Jing Zhang, Ruqian Hao, Jiaxi Zhao, Xudong Wang, Juanxiu Liu, Lin Liu:
SDoF-Net: Super Depth of Field Network for Cell Detection in Leucorrhea Micrograph. IEEE J. Biomed. Health Informatics 26(3): 1229-1238 (2022) - [c1]Jing Zhang, Tao Wen, Tao He, Xiangzhou Wang, Ruqian Hao, Juanxiu Liu, Xiaohui Du, Lin Liu:
Human Stools Classification for Gastrointestinal Health based on an Improved ResNet18 Model with Dual Attention Mechanism. CVPR Workshops 2022: 2095-2102 - 2021
- [j4]Hongcheng Wu, Juanxiu Liu, Gui Chen, Weixing Liu, Ruqian Hao, Lin Liu, Guangming Ni, Yong Liu, Xiaowen Zhang, Jing Zhang:
Automatic Semicircular Canal Segmentation of CT Volumes Using Improved 3D U-Net with Attention Mechanism. Comput. Intell. Neurosci. 2021: 9654059:1-9654059:13 (2021) - [j3]Ruqian Hao, Khashayar Namdar, Lin Liu, Farzad Khalvati:
A Transfer Learning-Based Active Learning Framework for Brain Tumor Classification. Frontiers Artif. Intell. 4: 635766 (2021) - [j2]Ruqian Hao, Khashayar Namdar, Lin Liu, Masoom A. Haider, Farzad Khalvati:
A Comprehensive Study of Data Augmentation Strategies for Prostate Cancer Detection in Diffusion-Weighted MRI Using Convolutional Neural Networks. J. Digit. Imaging 34(4): 862-876 (2021) - 2020
- [i2]Ruqian Hao, Khashayar Namdar, Lin Liu, Masoom A. Haider, Farzad Khalvati:
A Comprehensive Study of Data Augmentation Strategies for Prostate Cancer Detection in Diffusion-weighted MRI using Convolutional Neural Networks. CoRR abs/2006.01693 (2020) - [i1]Ruqian Hao, Khashayar Namdar, Lin Liu, Farzad Khalvati:
A Transfer Learning Based Active Learning Framework for Brain Tumor Classification. CoRR abs/2011.09265 (2020)
2010 – 2019
- 2019
- [j1]Xiaohui Du, Lin Liu, Xiangzhou Wang, Jing Zhang, Guangming Ni, Ruqian Hao, Juanxiu Liu, Yong Liu:
Trichomonas Detection in Leucorrhea Based on VIBE Method. Comput. Math. Methods Medicine 2019: 5856970:1-5856970:10 (2019)
Coauthor Index
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