Lung nodule diagnosis from CT images based on ensemble learning. - Farzad Vasheghani Farahani; Abbas Ahmadi; M. H. Fazel Zarandi (CIBCB, 2015)

Fuzzy rule based expert system for diagnosis of lung cancer. - Farzad Vasheghani Farahani; M. H. Fazel Zarandi; Abbas Ahmadi (NAFIPS/WConSC, 2015)

A new multiple classifier system for diagnosis of erythemato-squamous diseases based on rough set feature selection. - B. Lahijanian; Farzad Vasheghani Farahani; M. H. Fazel Zarandi (FUZZ-IEEE, 2016)

Double coverage ambulance location modeling using fuzzy traveling time. - B. Lahijanian; M. H. Fazel Zarandi; Farzad Vasheghani Farahani (NAFIPS, 2016)

Proposing a model for operating room scheduling based on fuzzy surgical duration. - B. Lahijanian; M. H. Fazel Zarandi; Farzad Vasheghani Farahani (NAFIPS, 2016)

Hybrid intelligent approach for diagnosis of the lung nodule from CT images using spatial kernelized fuzzy c-means and ensemble learning. - Farzad Vasheghani Farahani; Abbas Ahmadi; Mohammad Hossein Fazel Zarandi (Math. Comput. Simul., 2018)

On the Similarity of Deep Learning Representations Across Didactic and Adversarial Examples. - Pamela K. Douglas; Farzad Vasheghani Farahani (CoRR, 2020)

Diurnal variations of resting-state fMRI data: A graph-based analysis. - Farzad V. Farahani 001; Waldemar Karwowski; Mark D'Esposito; Richard F. Betzel; Pamela K. Douglas; Anna Maria Sobczak; Bartosz Bohaterewicz; Tadeusz Marek; Magdalena Fafrowicz (NeuroImage, 2022)