Data Fusion Approach for Constructing Unsupervised Augmented Voxel-Based Statistical Anthropomorphic Phantoms. - Hamidreza Khodajou-Chokami; Dmitry V. Dylov (BIBM, 2019)

Monte Carlo Modeling of Magnification Mode for Quantitative Assessment of Image Quality in Mammography Systems. - Ali Safarzadeh Amiri; Hamidreza Khodajou-Chokami; Naser Vosoughi; Mahsa Noorvand (MeMeA, 2019)

A Novel Method for Measuring the MTF of CT Scanners: A Phantom Study. - Hamidreza Khodajou-Chokami; Seyed Abolfazl Hosseini; Mohammad Reza Ay; Ali Safarzadehamiri; Pardis Ghafarian; Habib Zaidi (MeMeA, 2019)

MCNP-FBSM: Development of MCNP/MCNPX Source Model for Simulation of Multi-Slice Fan-Beam X-Ray CT Scanners. - Hamidreza Khodajou-Chokami; Seyed Abolfazl Hosseini; Mohammad Reza Ay; Habib Zaidi (MeMeA, 2019)

A Hybrid Deep Model for Automatic Arrhythmia Classification based on LSTM Recurrent Networks. - Adeleh Bitarafan; Afra Amini; Mahdieh Soleymani Baghshah; Hamidreza Khodajou-Chokami (MeMeA, 2020)

MamSim: A Computational Software Platform for Measuring and Optimizing Imaging and Dosimetry Parameters in Screen-Film and Digital Mammography Systems. - Hamidreza Khodajou-Chokami; Bijan Vosoughi Vahdat; A. Ebrahimi-Khankook; Mahsa Noorvand (MeMeA, 2020)

QCT: A Measuring Tool Dedicated to the Estimation of Image Parameters for Quality Assurance/Quality Control Programs of CT Scanners. - Hamidreza Khodajou-Chokami; Seyed Abolfazl Hosseini; Mohammad Ghorbanzadeh; Mohammad Mohammadi (MeMeA, 2020)

Personalized Computational Human Phantoms via a Hybrid Model-based Deep Learning Method. - Hamidreza Khodajou-Chokami; Adeleh Bitarafan; Dmitry V. Dylov; Mahdieh Soleymani Baghshah; Seyed Abolfazl Hosseini (MeMeA, 2020)