Yingchao Liu

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 17

Top Topics

Magnetic Resonance

Mild Cognitive Impairment

Top Venues

J. Intell. Manuf.

Frontiers Neuroinformatics

Publications

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)
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) (2024)
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) (2022)
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 (2022)
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)
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)
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)
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) (2020)
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) (2020)
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 (2020)
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 (2019)
Yingchao Liu, Xiaofeng Hu, Wenjuan Zhang
Remaining useful life prediction based on health index similarity. Reliab. Eng. Syst. Saf. 185 (2019)
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) (2019)
Yingchao Liu, Xiaofeng Hu, Jian Jin
Remaining Useful Life Prediction of Cutting Tools based on Deep Adversarial Transfer Learning. ICCPR (2019)
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 (2018)
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)
Xiran Jiang, Yingchao Liu, Qi Liu, Wenwen Jing, Kai-Rong Qin, Guodong Sui
in the Hospital Using a Microfluidic Chip. Micromachines 7 (9) (2016)
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)