Yingchao Liu
Orcid: 0000-0001-5431-5065
According to our database1,
Yingchao Liu
authored at least 18 papers
between 2013 and 2024.
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Bibliography
2024
Normalizing Flow-Based Distribution Estimation of Pharmacokinetic Parameters in Dynamic Contrast-Enhanced Magnetic Resonance Imaging.
IEEE Trans. Biomed. Eng., March, 2024
Local Consistency Guidance: Personalized Stylization Method of Face Video (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2022
Medical Image Anal., 2022
An imbalanced data learning method for tool breakage detection based on generative adversarial networks.
J. Intell. Manuf., 2022
Generating Bessel Beams with Different Shapes by the Designed Trench-assisted Optical Fiber.
Proceedings of the 14th IEEE International Conference on Advanced Infocomm Technology, 2022
2021
Automated Machine-Learning Framework Integrating Histopathological and Radiological Information for Predicting IDH1 Mutation Status in Glioma.
Frontiers Bioinform., 2021
Proceedings of the Simulation and Synthesis in Medical Imaging, 2021
2020
A hybrid information model based on long short-term memory network for tool condition monitoring.
J. Intell. Manuf., 2020
Morbigenous brain region and gene detection with a genetically evolved random neural network cluster approach in late mild cognitive impairment.
Bioinform., 2020
Hypergraph membrane system based F2 fully convolutional neural network for brain tumor segmentation.
Appl. Soft Comput., 2020
2019
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, 2019
Reliab. Eng. Syst. Saf., 2019
The Genetic-Evolutionary Random Support Vector Machine Cluster Analysis in Autism Spectrum Disorder.
IEEE Access, 2019
Remaining Useful Life Prediction of Cutting Tools based on Deep Adversarial Transfer Learning.
Proceedings of the ICCPR '19: 8th International Conference on Computing and Pattern Recognition, 2019
2018
Frontiers Neuroinformatics, 2018
Key Marker Selection for the Detection of Early Parkinson' s Disease using Importance-Driven Models.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
2016
Rapid Capture and Analysis of Airborne <i>Staphylococcus aureus</i> in the Hospital Using a Microfluidic Chip.
Micromachines, 2016
2013
Proceedings of the 11th USENIX conference on File and Storage Technologies, 2013