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 | 161 | 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 | 103 | 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, 390782, 2018 | 44 | 2018 |
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 | 20 | 2020 |
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 | 17 | 2016 |
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 | 15 | 2018 |
A network analytic approach to measuring emotional granularity K Hoemann, M Fan, H Engen, CA Chou, K Quigley, M Gendron, LF Barrett PsyArXiv, 2020 | 7 | 2020 |
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 | 6 | 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 Brain Informatics and Health: International Conference, BIH 2016, Omaha, NE …, 2016 | 5 | 2016 |
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 | 4 | 2018 |
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 | 2 | 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 | 2 | 2020 |
Graph-based learning of nonlinear physiological interactions for classification of emotions H Huang, M Fan, CA Chou Pattern Recognition 143, 109794, 2023 | 1 | 2023 |
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 | 1 | 2019 |
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 |