Improving performance of breast cancer risk prediction using a new CAD-based region segmentation scheme. - Morteza Heidari; Abolfazl Zargari Khuzani; Gopichandh Danala; Yuchen Qiu; Bin Zheng 001 (Computer-Aided Diagnosis, 2018)

Applying a new unequally weighted feature fusion method to improve CAD performance of classifying breast lesions. - Abolfazl Zargari Khuzani; Gopichandh Danala; Morteza Heidari; Yue Du; Najmeh Mashhadi; Yuchen Qiu; Bin Zheng 001 (Computer-Aided Diagnosis, 2018)

A performance comparison of low- and high-level features learned by deep convolutional neural networks in epithelium and stroma classification. - Yue Du; Roy Zhang; Abolfazl Zargari; Theresa C. Thai; Camille C. Gunderson; Katherine M. Moxley; Hong Liu 003; Bin Zheng 001; Yuchen Qiu (Digital Pathology, 2018)

Fire detection in video sequences using a machine learning system and a clustered quantitative image marker. - Abolfazl Zargari Khuzani; Rakshit Agrawal; Najmeh Mashhadi (GHTC, 2019)

Assessment of a quantitative mammographic imaging marker for breast cancer risk prediction. - Morteza Heidari; Seyedehnafiseh Mirniaharikandehei; Abolfazl Zargari Khuzani; Wei Qian 001; Yuchen Qiu; Bin Zheng 001 (Image Perception, Observer Performance, and Technology Assessment, 2019)

Applying a new quantitative image analysis scheme based on global mammographic features to assist diagnosis of breast cancer. - Xuxin Chen; Abolfazl Zargari; Alan B. Hollingsworth; Hong Liu 003; Bin Zheng 001; Yuchen Qiu (Comput. Methods Programs Biomed., 2019)

Image quality enhancement in wireless capsule endoscopy with Adaptive Fraction Gamma Transformation and Unsharp Masking filter. - Rezvan Ezatian; Donya Khaledyan; Kian Jafari; Morteza Heidari; Abolfazl Zargari Khuzani; Najmeh Mashhadi (GHTC, 2020)

Low-Cost Implementation of Bilinear and Bicubic Image Interpolation for Real-Time Image Super-Resolution. - Donya Khaledyan; Abdolah Amirany; Kian Jafari; Mohammad Hossein Moaiyeri; Abolfazl Zargari Khuzani; Najmeh Mashhadi (GHTC, 2020)

A Practical Method for Pupil segmentation in challenging conditions. - Donya Khaledyan; Mohammad Eshghi; Morteza Heidari; Abolfazl Zargari Khuzani; Najmeh Mashhadi (GHTC, 2020)

An approach to human iris recognition using quantitative analysis of image features and machine learning. - Abolfazl Zargari Khuzani; Najmeh Mashhadi; Morteza Heidari; Donya Khaledyan (GHTC, 2020)

Deep learning denoising for EOG artifacts removal from EEG signals. - Najmeh Mashhadi; Abolfazl Zargari Khuzani; Morteza Heidari; Donya Khaledyan (GHTC, 2020)

Improving the performance of CNN to predict the likelihood of COVID-19 using chest X-ray images with preprocessing algorithms. - Morteza Heidari; Seyedehnafiseh Mirniaharikandehei; Abolfazl Zargari Khuzani; Gopichandh Danala; Yuchen Qiu; Bin Zheng 001 (Int. J. Medical Informatics, 2020)

Detecting COVID-19 infected pneumonia from x-ray images using a deep learning model with image preprocessing algorithm. - Morteza Heidari; Seyedehnafiseh Mirniaharikandehei; Abolfazl Zargari Khuzani; Gopichandh Danala; Yuchen Qiu; Bin Zheng 001 (Computer-Aided Diagnosis, 2021)

Applying a new feature fusion method to classify breast lesions. - Najmeh Mashhadi; Abolfazl Zargari Khuzani; Morteza Heidari; Donya Khaledyan; Sam Teymoori (Computer-Aided Diagnosis, 2021)