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Farzad V. Farahani 0001
Person information
- affiliation: Johns Hopkins University, Department of Biostatistics, Baltimore, MD, USA
- affiliation: University of Central Florida, Department of Industrial Engineering, Orlando, FL, USA
- affiliation: Amirkabir University of Technology, Department of Industrial Engineering and Management Systems, Tehran, Iran
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2020 – today
- 2022
- [j2]Farzad V. Farahani
, Waldemar Karwowski
Diurnal variations of resting-state fMRI data: A graph-based analysis. NeuroImage 256: 119246 (2022) - 2020
- [i1]Pamela K. Douglas, Farzad Vasheghani Farahani:
On the Similarity of Deep Learning Representations Across Didactic and Adversarial Examples. CoRR abs/2002.06816 (2020)
2010 – 2019
- 2018
- [j1]Farzad Vasheghani Farahani
Hybrid intelligent approach for diagnosis of the lung nodule from CT images using spatial kernelized fuzzy c-means and ensemble learning. Math. Comput. Simul. 149: 48-68 (2018) - 2016
- [c5]B. Lahijanian, Farzad Vasheghani Farahani
A new multiple classifier system for diagnosis of erythemato-squamous diseases based on rough set feature selection. FUZZ-IEEE 2016: 2309-2316 - [c4]B. Lahijanian, M. H. Fazel Zarandi, Farzad Vasheghani Farahani
Double coverage ambulance location modeling using fuzzy traveling time. NAFIPS 2016: 1-6 - [c3]B. Lahijanian, M. H. Fazel Zarandi, Farzad Vasheghani Farahani
Proposing a model for operating room scheduling based on fuzzy surgical duration. NAFIPS 2016: 1-5 - 2015
- [c2]Farzad Vasheghani Farahani
Lung nodule diagnosis from CT images based on ensemble learning. CIBCB 2015: 1-7 - [c1]Farzad Vasheghani Farahani
Fuzzy rule based expert system for diagnosis of lung cancer. NAFIPS/WConSC 2015: 1-6
Coauthor Index
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