Li-Fen Chen
Orcid: 0000-0002-3819-853X
According to our database1,
Li-Fen Chen
authored at least 33 papers
between 2000 and 2023.
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Bibliography
2023
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023
2022
Facial Image Reconstruction from Functional Magnetic Resonance Imaging via GAN Inversion with Improved Attribute Consistency.
Proceedings of the International Joint Conference on Neural Networks, 2022
MEG-based Classification and Grad-CAM Visualization for Major Depressive and Bipolar Disorders with Semi-CNN.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
2021
Brain Dynamics Altered by Photic Stimulation in Patients with Alzheimer's Disease and Mild Cognitive Impairment.
Entropy, 2021
Demystifying T1-MRI to FDG<sup>18</sup>-PET Image Translation via Representational Similarity.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
2019
Unravelling the Spatio-Temporal Neurodynamics of Rhythm Encoding-reproduction Networks by a Novel fMRI Autoencoder.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019
Deep Neural Network with Attention Mechanism for Classification of Motor Imagery EEG.
Proceedings of the 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER), 2019
2018
Assessment of Quantitative Magnetoencephalography using Cross-frequency Phase-phase Coupling.
Proceedings of the 23rd IEEE International Conference on Digital Signal Processing, 2018
2017
Altered Brain Complexity in Women with Primary Dysmenorrhea: A Resting-State Magneto-Encephalography Study Using Multiscale Entropy Analysis.
Entropy, 2017
2015
Beamformer-based spatiotemporal imaging of linearly-related source components using electromagnetic neural signals.
NeuroImage, 2015
Beamformer-based imaging of phase-amplitude coupling using electromagnetic brain activity.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2014
Decoding and encoding of visual patterns using magnetoencephalographic data represented in manifolds.
NeuroImage, 2014
Proceedings of the IEEE International Conference on Consumer Electronics - Taiwan, 2014
2013
Proceedings of the Fifth International Conference on Digital Image Processing, 2013
2011
Person Identification Using Electroencephalographic Signals Evoked by Visual Stimuli.
Proceedings of the Neural Information Processing - 18th International Conference, 2011
Maximum multiple-correlation beamformer for estimating source connectivities in electromagnetic brain activities.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
2009
Lead Field Space Projection for Spatiotemporal Imaging of Independent Brain Activities.
Proceedings of the Advances in Neural Networks, 2009
Proceedings of the Ninth IEEE International Conference on Bioinformatics and Bioengineering, 2009
Proceedings of the Ninth IEEE International Conference on Bioinformatics and Bioengineering, 2009
2006
IEEE Trans. Biomed. Eng., 2006
Proceedings of the AMIA 2006, 2006
2005
2004
NeuroImage, 2004
Recognition of Motor Imagery Electroencephalography Using Independent Component Analysis and Machine Classifiers.
Proceedings of the 12-th International Conference in Central Europe on Computer Graphics, 2004
2003
Pattern Recognit., 2003
ICA-based spatiotemporal approach for single-trial analysis of postmovement MEG beta synchronization☆.
NeuroImage, 2003
2002
IEEE Trans. Circuits Syst. Video Technol., 2002
2001
Why recognition in a statistics-based face recognition system should be based on the pure face portion: a probabilistic decision-based proof.
Pattern Recognit., 2001
Proceedings of the 2001 International Conference on Image Processing, 2001
2000
A new LDA-based face recognition system which can solve the small sample size problem.
Pattern Recognit., 2000