Abolfazl Zargari Khuzani

According to our database1, Abolfazl Zargari Khuzani authored at least 9 papers between 2018 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.



In proceedings 
PhD thesis 


On csauthors.net:


Deep learning denoising for EOG artifacts removal from EEG signals.
CoRR, 2020

An approach to human iris recognition using quantitative analysis of image features and machine learning.
CoRR, 2020

Improving performance of CNN to predict likelihood of COVID-19 using chest X-ray images with preprocessing algorithms.
CoRR, 2020

Applying a new quantitative image analysis scheme based on global mammographic features to assist diagnosis of breast cancer.
Comput. Methods Programs Biomed., 2019

Assessment of a quantitative mammographic imaging marker for breast cancer risk prediction.
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.
Proceedings of the IEEE Global Humanitarian Technology Conference, 2019

A performance comparison of low- and high-level features learned by deep convolutional neural networks in epithelium and stroma classification.
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.
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.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018