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Mo Zhang
Publications
- 2023
- [j18]Li-Hao Zhang, Cheng Zhang, Ying Lu, Mo Zhang:
Is RFID adoption a double-edged sword? The impacts of a capital-constrained manufacturer. Comput. Ind. Eng. 181: 109289 (2023) - 2022
- [c22]Mo Zhang, Bin Dong, Quanzheng Li:
Ms-Gwnn: Multi-Scale Graph Wavelet Neural Network for Breast Cancer Diagnosis. ISBI 2022: 1-5 - [c21]Mo Zhang, Bin Dong, Quanzheng Li:
Joint Attention for Medical Image Segmentation. ISBI 2022: 1-5 - 2021
- [j17]Ke-you Guo, Xue Li, Mo Zhang, Qichao Bao, Min Yang:
Real-Time Vehicle Object Detection Method Based on Multi-Scale Feature Fusion. IEEE Access 9: 115126-115134 (2021) - [j16]Paul Deane, Joshua Wilson, Mo Zhang, Chen Li, Peter van Rijn, Hongwen Guo, Amanda Roth, Eowyn Winchester, Theresa Richter:
The Sensitivity of a Scenario-Based Assessment of Written Argumentation to School Differences in Curriculum and Instruction. Int. J. Artif. Intell. Educ. 31(1): 57-98 (2021) - [c19]Fei Yu, Mo Zhang, Hexin Dong, Sheng Hu, Bin Dong, Li Zhang:
DAST: Unsupervised Domain Adaptation in Semantic Segmentation Based on Discriminator Attention and Self-Training. AAAI 2021: 10754-10762 - [c17]Mo Zhang, Hongwen Guo, Xiang Li:
Using Keystroke Analytics to Understand Cognitive Processes during Writing. EDM 2021 - [i8]Mo Zhang, Fei Yu, Jie Zhao, Li Zhang, Quanzheng Li:
BEFD: Boundary Enhancement and Feature Denoising for Vessel Segmentation. CoRR abs/2104.03768 (2021) - 2020
- [j13]Yu Zhao, Xiang Li, Heng Huang, Wei Zhang, Shijie Zhao, Milad Makkie, Mo Zhang, Quanzheng Li, Tianming Liu:
Four-Dimensional Modeling of fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNNs). IEEE Trans. Cogn. Dev. Syst. 12(3): 451-460 (2020) - [j12]Mo Zhang, Xiang Li, Mengjia Xu, Quanzheng Li:
Automated Semantic Segmentation of Red Blood Cells for Sickle Cell Disease. IEEE J. Biomed. Health Informatics 24(11): 3095-3102 (2020) - [c15]Wei Qiu, Jiaming Guo, Xiang Li, Mengjia Xu, Mo Zhang, Ning Guo, Quanzheng Li:
Multi-label Detection and Classification of Red Blood Cells in Microscopic Images. IEEE BigData 2020: 4257-4263 - [c13]Mo Zhang, Jie Zhao, Xiang Li, Li Zhang, Quanzheng Li:
ASCNET: Adaptive-Scale Convolutional Neural Networks for Multi-Scale Feature Learning. ISBI 2020: 144-148 - [c12]Fei Yu, Hexin Dong, Mo Zhang, Jie Zhao, Bin Dong, Quanzheng Li, Li Zhang:
AF-SEG: An Annotation-Free Approach for Image Segmentation by Self-Supervision and Generative Adversarial Network. ISBI 2020: 1503-1507 - [c11]Mo Zhang, Bin Dong, Quanzheng Li:
Deep Active Contour Network for Medical Image Segmentation. MICCAI (4) 2020: 321-331 - [c10]Mo Zhang, Fei Yu, Jie Zhao, Li Zhang, Quanzheng Li:
BEFD: Boundary Enhancement and Feature Denoising for Vessel Segmentation. MICCAI (5) 2020: 775-785 - [i6]Mo Zhang, Quanzheng Li:
MS-GWNN: multi-scale graph wavelet neural network for breast cancer diagnosis. CoRR abs/2012.14619 (2020) - 2019
- [j11]Mo Zhang, Qian Hu:
An effective evolutionary algorithm for the biobjective full truckload transportation service procurement problem. Comput. Ind. Eng. 127: 1012-1023 (2019) - [c9]Jie Zhao, Lei Dai, Mo Zhang, Fei Yu, Meng Li, Hongfeng Li, Wenjia Wang, Li Zhang:
PGU-net+: Progressive Growing of U-net+ for Automated Cervical Nuclei Segmentation. MMMI@MICCAI 2019: 51-58 - [i5]Mo Zhang, Jie Zhao, Xiang Li, Li Zhang, Quanzheng Li:
ASCNet: Adaptive-Scale Convolutional Neural Networks for Multi-Scale Feature Learning. CoRR abs/1907.03241 (2019) - [i4]Wei Qiu, Jiaming Guo, Xiang Li, Mengjia Xu, Mo Zhang, Ning Guo, Quanzheng Li:
Multi-label Detection and Classification of Red Blood Cells in Microscopic Images. CoRR abs/1910.02672 (2019) - [i3]Jie Zhao, Lei Dai, Mo Zhang, Fei Yu, Meng Li, Hongfeng Li, Wenjia Wang, Li Zhang:
PGU-net+: Progressive Growing of U-net+ for Automated Cervical Nuclei Segmentation. CoRR abs/1911.01062 (2019) - 2018
- [c7]Yu Zhao, Xiang Li, Wei Zhang, Shijie Zhao, Milad Makkie, Mo Zhang, Quanzheng Li, Tianming Liu:
Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN). MICCAI (3) 2018: 181-189 - [c6]Mo Zhang, Xiang Li, Mengjia Xu, Quanzheng Li:
RBC Semantic Segmentation for Sickle Cell Disease Based on Deformable U-Net. MICCAI (4) 2018: 695-702 - [i2]Yu Zhao, Xiang Li, Wei Zhang, Shijie Zhao, Milad Makkie, Mo Zhang, Quanzheng Li, Tianming Liu:
Modeling 4D fMRI Data via Spatio-Temporal Convolutional Neural Networks (ST-CNN). CoRR abs/1805.12564 (2018) - 2017
- [j7]Xiao Liu, Xiaoli Wang, Qiang Su, Mo Zhang, Yanhong Zhu, Qiugen Wang, Qian Wang:
A Hybrid Classification System for Heart Disease Diagnosis Based on the RFRS Method. Comput. Math. Methods Medicine 2017: 8272091:1-8272091:11 (2017) - [c5]Na Yan, Mo Zhang, Xiaotian Wang:
The relationship among service quality, value perception and student satisfaction: a comparative study on university and training institution. ICIME 2017: 145-149 - [i1]Mo Zhang, Xiang Li, Mengjia Xu, Quanzheng Li:
Image Segmentation and Classification for Sickle Cell Disease using Deformable U-Net. CoRR abs/1710.08149 (2017)
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