Morteza Heidari

Publication Activity (10 Years)

Years Active: 2013-2021
Publications (10 Years): 27

Top Topics

Capsule Endoscopy

Feature Analysis

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging

Publications

Gopichandh Danala, Masoom Desai, Maryum Shoukat, Ahmer Asif, Morteza Heidari, Bin Zheng
Applying quantitative image markers to predict clinical measures after aneurysmal subarachnoid hemorrhage. Medical Imaging: Computer-Aided Diagnosis (2021)
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)
Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Sivaramakrishnan Lakshmivarahan, Bin Zheng
A novel feature reduction method to improve performance of machine learning model. 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)
Morteza Heidari, Sivaramakrishnan Lakshmivarahan, Seyedehnafiseh Mirniaharikandehei, Gopichandh Danala, Sai Kiran Reddy Maryada, Hong Liu, Bin Zheng
Applying a Random Projection Algorithm to Optimize Machine Learning Model for Breast Lesion Classification. IEEE Trans. Biomed. Eng. 68 (9) (2021)
Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Sivaramakrishnan Lakshmivarahan, Bin Zheng
Applying a random projection algorithm to optimize machine learning model for predicting peritoneal metastasis in gastric cancer patients using CT images. Comput. Methods Programs Biomed. 200 (2021)
Gopichandh Danala, Sai Kiran Reddy Maryada, Morteza Heidari, Bappaditya Ray, Masoom Desai, Bin Zheng
A new interactive visual-aided decision-making supporting tool to predict severity of acute ischemic stroke. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2020)
Najmeh Mashhadi, Abolfazl Zargari Khuzani, Morteza Heidari, Donya Khaledyan
Deep learning denoising for EOG artifacts removal from EEG signals. GHTC (2020)
Morteza Heidari, Sivaramakrishnan Lakshmivarahan, Seyedehnafiseh Mirniaharikandehei, Gopichandh Danala, Sai Kiran Reddy Maryada, Hong Liu, Bin Zheng
Applying a random projection algorithm to optimize machine learning model for breast lesion classification. CoRR (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)
Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Sivaramakrishnan Lakshmivarahan, Bin Zheng
Applying a random projection algorithm to optimize machine learning model for predicting peritoneal metastasis in gastric cancer patients using CT images. CoRR (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, Wei Liu, Alan B. Hollingsworth, Hong Liu, Bin Zheng
Development and Assessment of a New Global Mammographic Image Feature Analysis Scheme to Predict Likelihood of Malignant Cases. IEEE Trans. Medical Imaging 39 (4) (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)
Bin Zheng, Yuchen Qiu, Faranak Aghaei, Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala
Developing global image feature analysis models to predict cancer risk and prognosis. Vis. Comput. Ind. Biomed. Art 2 (2019)
Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Wei Qian, Yuchen Qiu, Bin Zheng
Association of computer-aided detection results and breast cancer risk. Medical Imaging: Computer-Aided Diagnosis (2019)
Gopichandh Danala, Morteza Heidari, Faranak Aghaei, Bappaditya Ray, Bin Zheng
Developing a computer-aided image analysis and visualization tool to predict region-specific brain tissue "at risk" for developing acute ischemic stroke. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2019)
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)
Ali Zarafshani, Yunzhi Wang, Seyedeh-Nafiseh Mirniaharikandehei, Morteza Heidari, Faranak Aghaei, Siqi Wang, Liangzhong Xiang, Bin Zheng
Design, fabrication and evaluation of non-imaging, label-free pre-screening tool using quantified bio-electrical tissue profile. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2019)
Gopichandh Danala, Faranak Aghaei, Morteza Heidari, Teresa Wu, Bhavika Patel, Bin Zheng
Computer-aided classification of breast masses using contrast-enhanced digital mammograms. Medical Imaging: Computer-Aided Diagnosis (2018)
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)
Seyedehnafiseh Mirniaharikandehei, Ali Zarafshani, Morteza Heidari, Yunzhi Wang, Faranak Aghaei, Bin Zheng
Applying a CAD-generated imaging marker to assess short-term breast cancer risk. Medical Imaging: Computer-Aided Diagnosis (2018)
Morteza Heidari, Shahrokh Gaemmaghami
Universal image steganalysis using singular values of DCT coefficients. ISCISC (2013)