Abolfazl Zargari Khuzani

Publication Activity (10 Years)

Years Active: 2018-2021
Publications (10 Years): 15

Top Topics

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Medical Imaging: Image Perception, Observer Performance, and Technology Assessment

Publications

Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Gopichandh Danala, Yuchen Qiu, Bin Zheng
Detecting COVID-19 infected pneumonia from x-ray images using a deep learning model with image preprocessing algorithm. Medical Imaging: Computer-Aided Diagnosis (2021)
Najmeh Mashhadi, Abolfazl Zargari Khuzani, Morteza Heidari, Donya Khaledyan, Sam Teymoori
Applying a new feature fusion method to classify breast lesions. Medical Imaging: Computer-Aided Diagnosis (2021)
Najmeh Mashhadi, Abolfazl Zargari Khuzani, Morteza Heidari, Donya Khaledyan
Deep learning denoising for EOG artifacts removal from EEG signals. GHTC (2020)
Rezvan Ezatian, Donya Khaledyan, Kian Jafari, Morteza Heidari, Abolfazl Zargari Khuzani, Najmeh Mashhadi
Image quality enhancement in wireless capsule endoscopy with Adaptive Fraction Gamma Transformation and Unsharp Masking filter. GHTC (2020)
Abolfazl Zargari Khuzani, Najmeh Mashhadi, Morteza Heidari, Donya Khaledyan
An approach to human iris recognition using quantitative analysis of image features and machine learning. GHTC (2020)
Abolfazl Zargari Khuzani, Najmeh Mashhadi, Morteza Heidari, Donya Khaledyan
An approach to human iris recognition using quantitative analysis of image features and machine learning. CoRR (2020)
Donya Khaledyan, Abdolah Amirany, Kian Jafari, Mohammad Hossein Moaiyeri, Abolfazl Zargari Khuzani, Najmeh Mashhadi
Low-Cost Implementation of Bilinear and Bicubic Image Interpolation for Real-Time Image Super-Resolution. GHTC (2020)
Najmeh Mashhadi, Abolfazl Zargari Khuzani, Morteza Heidari, Donya Khaledyan
Deep learning denoising for EOG artifacts removal from EEG signals. CoRR (2020)
Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Gopichandh Danala, Yuchen Qiu, Bin Zheng
Improving the performance of CNN to predict the likelihood of COVID-19 using chest X-ray images with preprocessing algorithms. Int. J. Medical Informatics 144 (2020)
Donya Khaledyan, Mohammad Eshghi, Morteza Heidari, Abolfazl Zargari Khuzani, Najmeh Mashhadi
A Practical Method for Pupil segmentation in challenging conditions. GHTC (2020)
Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Gopichandh Danala, Yuchen Qiu, Bin Zheng
Improving performance of CNN to predict likelihood of COVID-19 using chest X-ray images with preprocessing algorithms. CoRR (2020)
Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Wei Qian, Yuchen Qiu, Bin Zheng
Assessment of a quantitative mammographic imaging marker for breast cancer risk prediction. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2019)
Abolfazl Zargari Khuzani, Rakshit Agrawal, Najmeh Mashhadi
Fire detection in video sequences using a machine learning system and a clustered quantitative image marker. GHTC (2019)
Morteza Heidari, Abolfazl Zargari Khuzani, Gopichandh Danala, Yuchen Qiu, Bin Zheng
Improving performance of breast cancer risk prediction using a new CAD-based region segmentation scheme. Medical Imaging: Computer-Aided Diagnosis (2018)
Abolfazl Zargari Khuzani, Gopichandh Danala, Morteza Heidari, Yue Du, Najmeh Mashhadi, Yuchen Qiu, Bin Zheng
Applying a new unequally weighted feature fusion method to improve CAD performance of classifying breast lesions. Medical Imaging: Computer-Aided Diagnosis (2018)