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Javid Farhadi Sedehi
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2020 – today
- 2024
- [j1]Javid Farhadi Sedehi, Nader Jafarnia Dabanloo, Keivan Maghooli, Ali Sheikhani:
Recognition of Emotional Categories Using Mined Fuzzy Rules From Electroencephalogram Signals With Gated Eye Track Data Approach. IEEE Access 12: 118122-118140 (2024)
2010 – 2019
- 2018
- [c5]Mehdi Eslamizadeh, Nader Jafarnia Dabanloo, Gholamreza Attarodi, Javid Farhadi Sedehi, Mehrdad Mohandespoor:
A Nonlinear Adaptive Level Set for Intravascular Ultrasound Images Segmentation. CinC 2018: 1-4 - [c4]Javid Farhadi Sedehi, Gholamreza Attarodi, Nader Jafarnia Dabanloo, Mehrdad Mohandespoor, Mehdi Eslamizadeh:
Classification Atrial Fibrillation Using Stacked Autoencoders Neural Networks. CinC 2018: 1-3 - 2017
- [c3]Nastaran Ehtiati, Gholamreza Attarodi, Nader Jafarnia Dabanloo, Javid Farhadi Sedehi, Ali Motie Nasrabadi:
Prediction of Ventricular Tachycardia Using Nonlinear Features of Heart Rate Variability and Artificial Neural Network Classifier. CinC 2017 - [c2]Mehdi Eslamizadeh, Gholamreza Attarodi, Nader Jafarnia Dabanloo, Javid Farhadi Sedehi, Seyed Kamaledin Setarehdan:
Lumen Border Segmentation at Intravascular Ultrasound Images Using Fuzzy Compound Approach. CinC 2017 - [c1]Javid Farhadi Sedehi, Nader Jafarnia Dabanloo, Gholamreza Attarodi, Mehdi Eslamizadeh:
Prediction of Ventricular Fibrillation from HRV Signals Using Combination of Genetic Algorithm and Neural Networks. CinC 2017
Coauthor Index
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