Abolfazl Zargari Khuzani

According to our database, Abolfazl Zargari Khuzani authored at least 14 papers between 2018 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2021

Applying a new feature fusion method to classify breast lesions.

Najmeh Mashhadi, Abolfazl Zargari Khuzani, Morteza Heidari, Donya Khaledyan, Sam Teymoori

Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

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

Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

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

Int. J. Medical Informatics, 2020

Deep learning denoising for EOG artifacts removal from EEG signals.

Najmeh Mashhadi, Abolfazl Zargari Khuzani, Morteza Heidari, Donya Khaledyan

Proceedings of the IEEE Global Humanitarian Technology Conference, 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

Proceedings of the IEEE Global Humanitarian Technology Conference, 2020

A Practical Method for Pupil segmentation in challenging conditions.

Donya Khaledyan, Mohammad Eshghi, Morteza Heidari, Abolfazl Zargari Khuzani, Najmeh Mashhadi

Proceedings of the IEEE Global Humanitarian Technology Conference, 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

Proceedings of the IEEE Global Humanitarian Technology Conference, 2020

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

Proceedings of the IEEE Global Humanitarian Technology Conference, 2020

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, Bin Zheng, Yuchen Qiu

Comput. Methods Programs Biomed., 2019

Assessment of a quantitative mammographic imaging marker for breast cancer risk prediction.

Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Wei Qian, Yuchen Qiu, Bin Zheng

Proceedings of the Medical Imaging 2019: Image Perception, 2019

Fire detection in video sequences using a machine learning system and a clustered quantitative image marker.

Abolfazl Zargari Khuzani, Rakshit Agrawal, Najmeh Mashhadi

Proceedings of the IEEE Global Humanitarian Technology Conference, 2019

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, Bin Zheng, Yuchen Qiu

Proceedings of the Medical Imaging 2018: Digital Pathology, 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

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

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

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018