Qi Li

Orcid: 0000-0002-2716-449X

Affiliations:
  • Changchun University of Science and Technology, School of Computer Science and Technology, China


According to our database1, Qi Li authored at least 22 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
SALW-Net: a lightweight convolutional neural network based on self-adjusting loss function for spine MR image segmentation.
Medical Biol. Eng. Comput., April, 2024

A study of brain mechanisms by which light affects theta bands in working memory.
Proceedings of the 2024 4th International Conference on Bioinformatics and Intelligent Computing, 2024

A study of emotion recognition methods incorporating functional brain network features and self-attention mechanisms.
Proceedings of the 2024 4th International Conference on Bioinformatics and Intelligent Computing, 2024

Intelligent Epilepsy Detection Based on Multihead Attention Homology Convolutional Networks.
Proceedings of the 2024 4th International Conference on Bioinformatics and Intelligent Computing, 2024

3D Green Virtual Face P300 Spelling Paradigm Based on Mixed Reality.
Proceedings of the 2024 4th International Conference on Bioinformatics and Intelligent Computing, 2024

Development of a brain-controlled robotic arm system for motor imagery based on MR visual guidance.
Proceedings of the 2024 4th International Conference on Bioinformatics and Intelligent Computing, 2024

Research on motor imaging EEG signals based on VMD.
Proceedings of the 2024 4th International Conference on Bioinformatics and Intelligent Computing, 2024

Research on GCN-LSTM Emotion Recognition Algorithm with Attention Mechanism based on EEG.
Proceedings of the 2024 4th International Conference on Bioinformatics and Intelligent Computing, 2024

2023
Automatic aid diagnosis report generation for lumbar disc MR image based on lightweight artificial neural networks.
Biomed. Signal Process. Control., September, 2023

An optimized segmentation convolutional neural network with dynamic energy loss function for 3D reconstruction of lumbar spine MR images.
Comput. Biol. Medicine, June, 2023

Mixed reality-based brain computer interface system using an adaptive bandpass filter: Application to remote control of mobile manipulator.
Biomed. Signal Process. Control., May, 2023

2022
Ghost-Unet: An efficient convolutional neural network for spine MR image segmentation: Lightweight Segmentation Method for Spine MRI.
Proceedings of the 4th International Conference on Robotics, 2022

Continuous prediction of finger joint angles based on time series feature fusion CNN.
Proceedings of the 4th International Conference on Robotics, 2022

Research on Lightweight Intervertebral Disc Segmentation Method for Spine Magnetic Resonance Images: Lightweight Segmentation Method for Spine MRI.
Proceedings of the 4th International Conference on Robotics, 2022

2020
Characterizing the Time-Varying Brain Networks of Audiovisual Integration across Frequency Bands.
Cogn. Comput., 2020

The Influence of Inhibition of Return and Level-Priming on the Global Precedence Effect.
Comput. Intell. Neurosci., 2020

2019
The Self-Face Paradigm Improves the Performance of the P300-Speller System.
Frontiers Comput. Neurosci., 2019

2018
Combined Influence of Classifiers, Window Lengths and Number of Channels on EMG Pattern Recognition for Upper Limb Movement Classification.
Proceedings of the 11th International Congress on Image and Signal Processing, 2018

The Detection of P300 Potential Based on Deep Belief Network.
Proceedings of the 11th International Congress on Image and Signal Processing, 2018

Classification of Motor Imagery Based on Multi-Decision Fusion for Brain Computer Interface.
Proceedings of the 11th International Congress on Image and Signal Processing, 2018

2017
Study on the impact of random-dot stereograms characteristics on stereoscopic cognition.
Proceedings of the MIPPR 2017: Remote Sensing Image Processing, 2017

2016
Comparing the classification performance of Bayesian linear discriminate analysis (BLDA) and support vector machine (SVM) in BCI P300-speller with familiar face paradigm.
Proceedings of the 9th International Congress on Image and Signal Processing, 2016


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