Miaolin Fan
Miaolin Fan
Massachusetts general hospital
Verified email at mgh.harvard.edu
Title
Cited by
Cited by
Year
Developmental changes in spontaneous electrocortical activity and network organization from early to late childhood
V Miskovic, X Ma, CA Chou, M Fan, M Owens, H Sayama, BE Gibb
Neuroimage 118, 237-247, 2015
862015
Detecting abnormal pattern of epileptic seizures via temporal synchronization of EEG signals
M Fan, CA Chou
IEEE Transactions on Biomedical Engineering 66 (3), 601-608, 2018
462018
Topological pattern recognition of severe Alzheimer's disease via regularized supervised learning of EEG complexity
M Fan, AC Yang, JL Fuh, CA Chou
Frontiers in neuroscience 12, 685, 2018
132018
Recognizing affective state patterns using regularized learning with nonlinear dynamical features of EEG
M Fan, CA Chou
2018 IEEE EMBS International Conference on Biomedical & Health Informatics …, 2018
122018
Exploring stability-based voxel selection methods in mvpa using cognitive neuroimaging data: a comprehensive study
M Fan, CA Chou
Brain informatics 3 (3), 193-203, 2016
112016
Acute stress detection using recurrence quantification analysis of electroencephalogram (EEG) signals
M Fan, MS Tootooni, RS Sivasubramony, V Miskovic, PK Rao, CA Chou
International Conference on Brain Informatics, 252-261, 2016
52016
Graph Theoretic Compressive Sensing Approach for Classification of Global Neurophysiological States from Electroencephalography (EEG) Signals
MS Tootooni, M Fan, RS Sivasubramony, CA Chou, V Miskovic, PK Rao
International Conference on Brain Informatics, 42-51, 2016
52016
Facial expression and peripheral physiology fusion to decode individualized affective experience
Y Yin, M Nabian, S Ostadabbas
Workshop on Artificial Intelligence in Affective Computing, 10-26, 2020
42020
Analysis of multimodal physiological signals within and between individuals to predict psychological challenge vs. threat
A Khalaf, M Nabian, M Fan, Y Yin, J Wormwood, E Siegel, KS Quigley, ...
Expert Systems with Applications 140, 112890, 2020
42020
Analysis of multimodal physiological signals within and across individuals to predict psychological threat vs. challenge
A Khalaf, M Nabian, M Fan, Y Yin, J Wormwood, E Siegel, K Quigley, ...
PsyArXiv, 2017
32017
A network analytic approach to measuring emotional granularity
K Hoemann, M Fan, H Engen, CA Chou, K Quigley, M Gendron, LF Barrett
PsyArXiv, 2020
2020
Detecting Physiological Changes in Response to Sudden Events in Driving: A Nonlinear Dynamics Approach
M Fan, Z Yu, CA Chou, SC Yen, Y Lin
2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics …, 2020
2020
A Network-based Multimodal Data Fusion Approach for Characterizing Dynamic Multimodal Physiological Patterns
M Fan, CA Chou, SC Yen, Y Lin
arXiv preprint arXiv:1901.00877, 2019
2019
A Network-based Data Fusion Method for Multi-modal Physiological Signals
M Fan
Northeastern University, 2019
2019
Classification Analysis of Chronological Age Using Brief Resting Electroencephalographic (EEG) Recordings
M Fan, V Miskovic, CA Chou, S Khanmohammadi, H Sayama, BE Gibb
International Conference on Brain Informatics and Health, 96-104, 2015
2015
Prediction analysis of chronological age from brief resting electroencephalographic (EEG) recordings
M Fan
State University of New York at Binghamton, 2015
2015
The system can't perform the operation now. Try again later.
Articles 1–16