Shuting Liu
Orcid: 0000-0002-4807-0214
According to our database1,
Shuting Liu
authored at least 29 papers
between 2016 and 2024.
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Bibliography
2024
Int. J. Comput. Assist. Radiol. Surg., November, 2024
Three-layer heterogeneous network based on the integration of CircRNA information for MiRNA-disease association prediction.
PeerJ Comput. Sci., 2024
XA-Sim2Real: Adaptive Representation Learning for Vessel Segmentation in X-Ray Angiography.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Multi-modal Data Fusion with Missing Data Handling for Mild Cognitive Impairment Progression Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Clinical Image-Based Procedures - 13th International Workshop, 2024
2023
Three-Way Conflict Analysis for Three-Valued Situation Tables with Rankings and Reference Tuples.
Proceedings of the Rough Sets - International Joint Conference, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Dynamic Graph Neural Representation Based Multi-modal Fusion Model for Cognitive Outcome Prediction in Stroke Cases.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Automatic Generation of Multiple-Choice Questions for CS0 and CS1 Curricula Using Large Language Models.
Proceedings of the Computer Science and Education. Computer Science and Technology, 2023
2022
Sensors, 2022
An intelligent data analysis system for fault diagnosis of marine monitoring sensors.
Proceedings of the 3rd International Conference on Computing, 2022
2021
Unpaired Stain Transfer Using Pathology-Consistent Constrained Generative Adversarial Networks.
IEEE Trans. Medical Imaging, 2021
QRNN-MIDAS: A novel quantile regression neural network for mixed sampling frequency data.
Neurocomputing, 2021
Single-Skeleton and Dual-Skeleton Hypergraph Convolution Neural Networks for Skeleton-Based Action Recognition.
Proceedings of the Neural Information Processing - 28th International Conference, 2021
Structure-Aware Multi-scale Hierarchical Graph Convolutional Network for Skeleton Action Recognition.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021
2020
Robust online model predictive control for image-based visual servoing in polar coordinates.
Trans. Inst. Meas. Control, 2020
A Flexible Film Bulk Acoustic Resonator Based on β-Phase Polyvinylidene Fluoride Polymer.
Sensors, 2020
Cerebrovascular segmentation from TOF-MRA using model- and data-driven method via sparse labels.
Neurocomputing, 2020
The Generation of Virtual Immunohistochemical Staining Images Based on an Improved Cycle-GAN.
Proceedings of the Machine Learning and Intelligent Communications, 2020
A Pilot Study on Auditory Brainstem Response Evoked with Randomized Stimulation Rate.
Proceedings of the 2020 IEEE International Workshop on Metrology for Industry 4.0 & IoT, 2020
2019
Soft sensor modelling of propylene conversion based on a Takagi-Sugeno fuzzy neural network optimized with independent component analysis and mutual information.
Trans. Inst. Meas. Control, 2019
Proceedings of the 2019 IEEE International Conference on Real-time Computing and Robotics, 2019
A Device-Independent Novel Statistical Modeling for Cerebral TOF-MRA Data Segmentation.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures, 2019
DPANet: A Novel Network Based on Dense Pyramid Feature Extractor and Dual Correlation Analysis Attention Modules for Colon Glands Segmentation.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures, 2019
2018
The complements of path and cycle are determined by their distance (signless) Laplacian spectra.
Appl. Math. Comput., 2018
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
2016
Interactive Dispatch Modes and Bidding Strategy of Multiple Virtual Power Plants Based on Demand Response and Game Theory.
IEEE Trans. Smart Grid, 2016