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Farzad V. Farahani
Farzad V. Farahani
Johnson & Johnson | Johns Hopkins University
jhu.edu의 이메일 확인됨 - 홈페이지
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Application of Graph Theory for Identifying Connectivity Patterns in Human Brain Networks: A Systematic Review
FV Farahani, W Karwowski, N Lighthall
Frontiers in Neuroscience 13, 585, 2019
6842019
Neural decoding of EEG signals with machine learning: a systematic review
M Saeidi, W Karwowski, FV Farahani, K Fiok, R Taiar, PA Hancock, ...
Brain Sciences 11 (11), 1525, 2021
2012021
Explainable artificial intelligence for education and training
K Fiok, FV Farahani, W Karwowski, T Ahram
The Journal of Defense Modeling and Simulation 19 (2), 133-144, 2022
1042022
Hybrid intelligent approach for diagnosis of the lung nodule from CT images using spatial kernelized fuzzy c-means and ensemble learning
FV Farahani, A Ahmadi, MHF Zarandi
Mathematics and Computers in Simulation 149, 48-68, 2018
722018
Lung nodule diagnosis from CT images based on ensemble learning
FV Farahani, A Ahmadi, MHF Zarandi
2015 IEEE Conference on Computational Intelligence in Bioinformatics and …, 2015
682015
Effects of chronic sleep restriction on the brain functional network, as revealed by graph theory
FV Farahani, M Fafrowicz, W Karwowski, PK Douglas, A Domagalik, ...
Frontiers in Neuroscience 13, 1087, 2019
382019
Green supplier selection by developing a new group decision-making method under type 2 fuzzy uncertainty
H Mohammadi, FV Farahani, M Noroozi, A Lashgari
The International Journal of Advanced Manufacturing Technology 93, 1443-1462, 2017
352017
Explainable AI: A review of applications to neuroimaging data
FV Farahani, K Fiok, B Lahijanian, W Karwowski, PK Douglas
Frontiers in neuroscience 16, 906290, 2022
332022
Fuzzy rule based expert system for diagnosis of lung cancer
F V. Farahani, MH Fazel Zarandi, A Ahmadi
Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th …, 2015
332015
Decoding task-based fMRI data with graph neural networks, considering individual differences
M Saeidi, W Karwowski, FV Farahani, K Fiok, PA Hancock, BD Sawyer, ...
Brain Sciences 12 (8), 1094, 2022
242022
Proposing a model for operating room scheduling based on fuzzy surgical duration
B Lahijanian, MHF Zarandi, FV Farahani
2016 Annual Conference of the North American Fuzzy Information Processing …, 2016
202016
Diurnal variations of resting-state fMRI data: A graph-based analysis
FV Farahani, W Karwowski, M D'Esposito, RF Betzel, PK Douglas, ...
Neuroimage 256, 119246, 2022
192022
A new multiple classifier system for diagnosis of erythemato-squamous diseases based on rough set feature selection
B Lahijanian, FV Farahani, MHF Zarandi
2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2309-2316, 2016
172016
Identifying diurnal variability of brain connectivity patterns using graph theory
F V. Farahani, M Fafrowicz, W Karwowski, B Bohaterewicz, AM Sobczak, ...
Brain Sciences 11 (1), 111, 2021
162021
Evidence of chaos in electroencephalogram signatures of human performance: A systematic review
S Kargarnovin, C Hernandez, FV Farahani, W Karwowski
Brain Sciences 13 (5), 813, 2023
152023
Computational methods for analyzing functional and effective brain network connectivity using fMRI
FV Farahani, W Karwowski
Advances in Neuroergonomics and Cognitive Engineering: Proceedings of the …, 2019
152019
The COVID-19 infection diffusion in the US and Japan: A graph-theoretical approach
MR Davahli, W Karwowski, K Fiok, A Murata, N Sapkota, FV Farahani, ...
Biology 11 (1), 125, 2022
102022
Double coverage ambulance location modeling using fuzzy traveling time
B Lahijanian, MHF Zarandi, FV Farahani
2016 Annual Conference of the North American Fuzzy Information Processing …, 2016
102016
Graph-based analysis of brain connectivity in multiple sclerosis using functional MRI: A systematic review
S Hejazi, W Karwowski, FV Farahani, T Marek, PA Hancock
Brain Sciences 13 (2), 246, 2023
82023
On the similarity of deep learning representations across didactic and adversarial examples
PK Douglas, FV Farahani
arXiv preprint arXiv:2002.06816, 2020
82020
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