Miaolin Fan
Miaolin Fan
Massachusetts general hospital
Verified email at mgh.harvard.edu
Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
A network analytic approach to measuring emotional granularity
K Hoemann, M Fan, H Engen, CA Chou, K Quigley, M Gendron, LF Barrett
PsyArXiv, 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
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
A Network-based Data Fusion Method for Multi-modal Physiological Signals
M Fan
Northeastern University, 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
Prediction analysis of chronological age from brief resting electroencephalographic (EEG) recordings
M Fan
State University of New York at Binghamton, 2015
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