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2020 – today
- 2024
[j12]Ke Fang
, Zejun Wang, Qi Xia, Yingchao Liu, Bao Wang, Zhaowei Cheng, Jian Cheng, Xinyu Jin, Ruiliang Bai, Lanjuan Li:
Normalizing Flow-Based Distribution Estimation of Pharmacokinetic Parameters in Dynamic Contrast-Enhanced Magnetic Resonance Imaging. IEEE Trans. Biomed. Eng. 71(3): 780-791 (2024)- [c6]Wancheng Feng, Yingchao Liu, Jiaming Pei, Wenxuan Liu, Chunpeng Tian, Lukun Wang:
Local Consistency Guidance: Personalized Stylization Method of Face Video (Student Abstract). AAAI 2024: 23486-23487 - 2022
- [j11]Shixu Sun, Xiaofeng Hu, Yingchao Liu:
An imbalanced data learning method for tool breakage detection based on generative adversarial networks. J. Intell. Manuf. 33(8): 2441-2455 (2022) - [j10]Shengke Xue, Zhaowei Cheng, Guangxu Han, Chaoliang Sun, Ke Fang, Yingchao Liu, Jian Cheng, Xinyu Jin, Ruiliang Bai:
2D probabilistic undersampling pattern optimization for MR image reconstruction. Medical Image Anal. 77: 102346 (2022) - [c5]Nan Wang, Yusheng Liu, Wenjuan Li, Xinwei Huo, Yingchao Liu, Lei Zhang:
Generating Bessel Beams with Different Shapes by the Designed Trench-assisted Optical Fiber. ICAIT 2022: 150-154 - 2021
- [j9]Dingqian Wang, Cuicui Liu, Xiuying Wang, Xuejun Liu, Chuanjin Lan, Peng Zhao, William C. Cho, Manuel B. Graeber, Yingchao Liu:
Automated Machine-Learning Framework Integrating Histopathological and Radiological Information for Predicting IDH1 Mutation Status in Glioma. Frontiers Bioinform. 1 (2021) - [c4]Yongsheng Pan, Jingyu Huang, Bao Wang, Peng Zhao, Yingchao Liu, Yong Xia:
Cerebral Blood Volume Prediction Based on Multi-modality Magnetic Resonance Imaging. SASHIMI@MICCAI 2021: 121-130 - 2020
- [j8]Jie Xue, Jinyan Hu, Yuan Wang, Deting Kong, Shuo Yan, Rui Zhao, Dengwang Li, Yingchao Liu, Xiyu Liu:
Hypergraph membrane system based F2 fully convolutional neural network for brain tumor segmentation. Appl. Soft Comput. 94: 106454 (2020) - [j7]Xia-an Bi, Yingchao Liu, Yiming Xie, Xi Hu, Qinghua Jiang:
Morbigenous brain region and gene detection with a genetically evolved random neural network cluster approach in late mild cognitive impairment. Bioinform. 36(8): 2561-2568 (2020) - [j6]Weili Cai, Wenjuan Zhang, Xiaofeng Hu, Yingchao Liu:
A hybrid information model based on long short-term memory network for tool condition monitoring. J. Intell. Manuf. 31(6): 1497-1510 (2020)
2010 – 2019
- 2019
- [j5]Xia-an Bi, Yingchao Liu, Qi Sun, Xianhao Luo, Haiyan Tan, Jie Chen, Nianyin Zeng:
The Genetic-Evolutionary Random Support Vector Machine Cluster Analysis in Autism Spectrum Disorder. IEEE Access 7: 30527-30535 (2019) - [j4]Yingchao Liu, Xiaofeng Hu, Wenjuan Zhang:
Remaining useful life prediction based on health index similarity. Reliab. Eng. Syst. Saf. 185: 502-510 (2019) - [j3]Yuan Gao, Yingchao Liu, Yuanyuan Wang, Zhifeng Shi, Jinhua Yu:
A Universal Intensity Standardization Method Based on a Many-to-One Weak-Paired Cycle Generative Adversarial Network for Magnetic Resonance Images. IEEE Trans. Medical Imaging 38(9): 2059-2069 (2019) - [c3]Yingchao Liu, Xiaofeng Hu, Jian Jin:
Remaining Useful Life Prediction of Cutting Tools based on Deep Adversarial Transfer Learning. ICCPR 2019: 434-439 - 2018
- [j2]Xia-an Bi, Qin Jiang, Qi Sun, Qing Shu, Yingchao Liu:
Analysis of Alzheimer's Disease Based on the Random Neural Network Cluster in fMRI. Frontiers Neuroinformatics 12: 60 (2018) - [c2]Chun Xiao, Yingchao Liu, David Dagan Feng, Xiuying Wang:
Key Marker Selection for the Detection of Early Parkinson' s Disease using Importance-Driven Models. EMBC 2018: 6100-6103 - 2016
- [j1]Xiran Jiang, Yingchao Liu, Qi Liu, Wenwen Jing, Kai-Rong Qin, Guodong Sui:
Rapid Capture and Analysis of Airborne Staphylococcus aureus in the Hospital Using a Microfluidic Chip. Micromachines 7(9): 169 (2016) - 2013
- [c1]Thanh Do, Tyler Harter, Yingchao Liu, Haryadi S. Gunawi, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau:
HARDFS: hardening HDFS with selective and lightweight versioning. FAST 2013: 105-118
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