Morteza Heidari

According to our database, Morteza Heidari authored at least 23 papers between 2013 and 2021.

Collaborative distances:

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

2021

Applying a Random Projection Algorithm to Optimize Machine Learning Model for Breast Lesion Classification.

Morteza Heidari, Sivaramakrishnan Lakshmivarahan, Seyedehnafiseh Mirniaharikandehei, Gopichandh Danala, Sai Kiran Reddy Maryada, Hong Liu, Bin Zheng

IEEE Trans. Biomed. Eng., 2021

Applying a random projection algorithm to optimize machine learning model for predicting peritoneal metastasis in gastric cancer patients using CT images.

Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Sivaramakrishnan Lakshmivarahan, Bin Zheng

Comput. Methods Programs Biomed., 2021

A novel feature reduction method to improve performance of machine learning model.

Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Sivaramakrishnan Lakshmivarahan, Bin Zheng

Proceedings of the Medical Imaging 2021: 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

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

Applying quantitative image markers to predict clinical measures after aneurysmal subarachnoid hemorrhage.

Gopichandh Danala, Masoom Desai, Maryum Shoukat, Ahmer Asif, Morteza Heidari, Bin Zheng

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

2020

Development and Assessment of a New Global Mammographic Image Feature Analysis Scheme to Predict Likelihood of Malignant Cases.

Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Wei Liu, Alan B. Hollingsworth, Hong Liu, Bin Zheng

IEEE Trans. Medical Imaging, 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

A new interactive visual-aided decision-making supporting tool to predict severity of acute ischemic stroke.

Gopichandh Danala, Sai Kiran Reddy Maryada, Morteza Heidari, Bappaditya Ray, Masoom Desai, Bin Zheng

Proceedings of the Medical Imaging 2020: Biomedical Applications in Molecular, 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

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

Developing global image feature analysis models to predict cancer risk and prognosis.

Bin Zheng, Yuchen Qiu, Faranak Aghaei, Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala

Vis. Comput. Ind. Biomed. Art, 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

Association of computer-aided detection results and breast cancer risk.

Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Wei Qian, Yuchen Qiu, Bin Zheng

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Design, fabrication and evaluation of non-imaging, label-free pre-screening tool using quantified bio-electrical tissue profile.

Ali Zarafshani, Yunzhi Wang, Seyedeh-Nafiseh Mirniaharikandehei, Morteza Heidari, Faranak Aghaei, Siqi Wang, Liangzhong Xiang, Bin Zheng

Proceedings of the Medical Imaging 2019: Biomedical Applications in Molecular, 2019

Developing a computer-aided image analysis and visualization tool to predict region-specific brain tissue "at risk" for developing acute ischemic stroke.

Gopichandh Danala, Morteza Heidari, Faranak Aghaei, Bappaditya Ray, Bin Zheng

Proceedings of the Medical Imaging 2019: Biomedical Applications in Molecular, 2019

2018

Applying a CAD-generated imaging marker to assess short-term breast cancer risk.

Seyedehnafiseh Mirniaharikandehei, Ali Zarafshani, Morteza Heidari, Yunzhi Wang, Faranak Aghaei, Bin Zheng

Proceedings of the Medical Imaging 2018: 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

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

Computer-aided classification of breast masses using contrast-enhanced digital mammograms.

Gopichandh Danala, Faranak Aghaei, Morteza Heidari, Teresa Wu, Bhavika Patel, Bin Zheng

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

2013

Universal image steganalysis using singular values of DCT coefficients.

Morteza Heidari, Shahrokh Gaemmaghami

Proceedings of the 10th International ISC Conference on Information Security and Cryptology, 2013