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Qi Li 0028
Person information
- affiliation: Changchun University of Science and Technology, School of Computer Science and Technology, China
Other persons with the same name
- Qi Li — disambiguation page
- Qi Li 0001 — Western Kentucky University, Department of Mathematics and Computer Science, Bowling Green, KY, USA (and 1 more)
- Qi Li 0002
— Tsinghua University, Institute for Network Sciences and Cyberspace, Beijing, China (and 4 more)
- Qi Li 0003
- Qi Li 0004
- Qi Li 0005
- Qi Li 0006 — Tsinghua University, Institute of Data Science, Centre for Computational Mental Healthcare Research, Beijing, China
- Qi Li 0007
- Qi Li 0008
- Qi Li 0009
- Qi Li 0010
- Qi Li 0011
- Qi Li 0012
- Qi Li 0013 — Hong Kong University of Science and Technology, Hong Kong
- Qi Li 0014 — Rensselaer Polytechnic Institute, Department of Computer Science, Troy, NY USA (and 1 more)
- Qi Li 0015
- Qi Li 0016
- Qi Li 0017 — Southeast University, Key Laboratory of Measurement and Control of Complex Systems of Engineering, Nanjing, China
- Qi Li 0018
- Qi Li 0019 — Partners HealthCare System, Clinical Informatics Research & Development, Boston, MA, USA
- Qi Li 0020 — University of Southern California, Center for Systems and Software Engineering, Los Angeles, CA, USA
- Qi Li 0021
- Qi Li 0022
- Qi Li 0023
- Qi Li 0024
- Qi Li 0025
- Qi Li 0026
- Qi Li 0027
- Qi Li 0029
- Qi Li 0030
- Qi Li 0031
- Qi Li 0032
- Qi Li 0033
- Qi Li 0034 — University of Science and Technology of China, Department of Computer Science and Technology, Hefei, China
- Qi Li 0035 — Virginia Commonwealth University, Computer Science Department, Richmond, VA, USA
- Qi Li 0036 — Xi'an Jiaotong University, School of Economics and Finance, China
- Qi Li 0037
- Qi Li 0038
- Qi Li 0039
- Qi Li 0040 — Zhongguancun Laboratory, Tsinghua University, Beijing, Chinas
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2020 – today
- 2024
- [j7]Siyuan He
SALW-Net: a lightweight convolutional neural network based on self-adjusting loss function for spine MR image segmentation. Medical Biol. Eng. Comput. 62(4): 1247-1264 (2024) - [c15]Lina Chang
Research on GCN-LSTM Emotion Recognition Algorithm with Attention Mechanism based on EEG. BIC 2024 - [c14]Dingrui Liu
Research on motor imaging EEG signals based on VMD. BIC 2024 - [c13]Hanlin Sun
Development of a brain-controlled robotic arm system for motor imagery based on MR visual guidance. BIC 2024 - [c12]Shizhu Wang
3D Green Virtual Face P300 Spelling Paradigm Based on Mixed Reality. BIC 2024 - [c11]Xurong Yan
Intelligent Epilepsy Detection Based on Multihead Attention Homology Convolutional Networks. BIC 2024 - [c10]Ye Zhang
A study of emotion recognition methods incorporating functional brain network features and self-attention mechanisms. BIC 2024 - [c9]Qizhao Zhu
A study of brain mechanisms by which light affects theta bands in working memory. BIC 2024 - 2023
- [j6]Qi Li
Mixed reality-based brain computer interface system using an adaptive bandpass filter: Application to remote control of mobile manipulator. Biomed. Signal Process. Control. 83: 104646 (2023) - [j5]Siyuan He
Automatic aid diagnosis report generation for lumbar disc MR image based on lightweight artificial neural networks. Biomed. Signal Process. Control. 86(Part B): 105275 (2023) - [j4]Siyuan He
An optimized segmentation convolutional neural network with dynamic energy loss function for 3D reconstruction of lumbar spine MR images. Comput. Biol. Medicine 160: 106839 (2023) - 2022
- [c8]Qi Li
Continuous prediction of finger joint angles based on time series feature fusion CNN. RICAI 2022: 902-906 - [c7]Xianda Li
Research on Lightweight Intervertebral Disc Segmentation Method for Spine Magnetic Resonance Images: Lightweight Segmentation Method for Spine MRI. RICAI 2022: 1004-1009 - [c6]Yinghan Xu
Ghost-Unet: An efficient convolutional neural network for spine MR image segmentation: Lightweight Segmentation Method for Spine MRI. RICAI 2022: 1159-1163 - 2020
- [j3]Yan Wu, Qi Li
The Influence of Inhibition of Return and Level-Priming on the Global Precedence Effect. Comput. Intell. Neurosci. 2020: 4817901:1-4817901:7 (2020) - [j2]Yang Xi, Qi Li
Characterizing the Time-Varying Brain Networks of Audiovisual Integration across Frequency Bands. Cogn. Comput. 12(6): 1154-1169 (2020)
2010 – 2019
- 2019
- [j1]Zhaohua Lu, Qi Li, Ning Gao, Jingjing Yang:
The Self-Face Paradigm Improves the Performance of the P300-Speller System. Frontiers Comput. Neurosci. 13: 93 (2019) - 2018
- [c5]Yifan Cheng, Ning Gao, Zhaohua Lu, Qi Li:
Classification of Motor Imagery Based on Multi-Decision Fusion for Brain Computer Interface. CISP-BMEI 2018: 1-5 - [c4]Zhaohua Lu, Ning Gao, Yuanzi Liu, Qi Li:
The Detection of P300 Potential Based on Deep Belief Network. CISP-BMEI 2018: 1-5 - [c3]Anyuan Zhang, Ning Gao, Liang Wang, Qi Li:
Combined Influence of Classifiers, Window Lengths and Number of Channels on EMG Pattern Recognition for Upper Limb Movement Classification. CISP-BMEI 2018: 1-5 - 2017
- [c2]Yuguo Wang, Yan Wu, Qi Li, Hua Li:
Study on the impact of random-dot stereograms characteristics on stereoscopic cognition. MIPPR 2017: 106110W - 2016
- [c1]Qi Li, Shengyuan Ma, Kaiyang Shi, Ning Gao:
Comparing the classification performance of Bayesian linear discriminate analysis (BLDA) and support vector machine (SVM) in BCI P300-speller with familiar face paradigm. CISP-BMEI 2016: 1476-1481
Coauthor Index
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last updated on 2024-12-13 19:13 CET by the dblp team
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