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Miaolin Fan
Miaolin Fan
Neumarker Inc.
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
1552015
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
1022018
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, 390782, 2018
432018
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
192020
Exploring stability-based voxel selection methods in mvpa using cognitive neuroimaging data: a comprehensive study
M Fan, CA Chou
Brain informatics 3, 193-203, 2016
162016
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
152018
Acute stress detection using recurrence quantification analysis of electroencephalogram (EEG) signals
M Fan, MS Tootooni, RS Sivasubramony, V Miskovic, PK Rao, CA Chou
Brain Informatics and Health: International Conference, BIH 2016, Omaha, NE …, 2016
62016
A network analytic approach to measuring emotional granularity
K Hoemann, M Fan, H Engen, CA Chou, K Quigley, M Gendron, LF Barrett
PsyArXiv, 2020
52020
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
Brain Informatics and Health: International Conference, BIH 2016, Omaha, NE …, 2016
52016
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, ...
OSF, 2018
42018
Brain functional connectivity pattern recognition for attention-deficit/hyperactivity disorder diagnosis
H Pirimy, M Fan, H Wang
2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2020
22020
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
22020
Graph-based learning of nonlinear physiological interactions for classification of emotions
H Huang, M Fan, CA Chou
Pattern Recognition 143, 109794, 2023
12023
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
12019
Network-motif delay differential analysis of brain activity during seizures
C Lainscsek, P Salami, VR Carvalho, EMAM Mendes, M Fan, SS Cash, ...
Chaos: An Interdisciplinary Journal of Nonlinear Science 33 (12), 2023
2023
Dynamic Network Connectivity Analysis for Understanding Attention Deficit Hyperactivity Disorder
H Pirim, M Fan, H Wang
2022 IEEE 10th International Conference on Healthcare Informatics (ICHI …, 2022
2022
A Network-based Data Fusion Method for Multi-modal Physiological Signals
M Fan
Northeastern University, 2019
2019
Prediction analysis of chronological age from brief resting electroencephalographic (EEG) recordings
M Fan
State University of New York at Binghamton, 2015
2015
Classification analysis of chronological age using brief resting electroencephalographic (EEG) recordings
M Fan, V Miskovic, CA Chou, S Khanmohammadi, H Sayama, BE Gibb
Brain Informatics and Health: 8th International Conference, BIH 2015, London …, 2015
2015
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