Morteza Heidari

28 papers Journal 10Unranked 18

Year	Rank	Type	Title / Venue / Authors
2021	—	`conf`	A novel feature reduction method to improve performance of machine learning model. Computer-Aided Diagnosis Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Sivaramakrishnan Lakshmivarahan, Bin Zheng
2021	J	`jnl`	Applying a Random Projection Algorithm to Optimize Machine Learning Model for Breast Lesion Classification. IEEE Trans. Biomed. Eng. Morteza Heidari, Sivaramakrishnan Lakshmivarahan, Seyedehnafiseh Mirniaharikandehei, Gopichandh Danala, Sai Kiran Reddy Maryada, Hong Liu, Bin Zheng
2021	—	`conf`	Applying a new feature fusion method to classify breast lesions. Computer-Aided Diagnosis Najmeh Mashhadi, Abolfazl Zargari Khuzani, Morteza Heidari, Donya Khaledyan, Sam Teymoori
2021	J	`jnl`	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. Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Sivaramakrishnan Lakshmivarahan, Bin Zheng
2021	—	`conf`	Applying quantitative image markers to predict clinical measures after aneurysmal subarachnoid hemorrhage. Computer-Aided Diagnosis Gopichandh Danala, Masoom Desai, Maryum Shoukat, Ahmer Asif, Morteza Heidari, Bin Zheng
2021	—	`conf`	Detecting COVID-19 infected pneumonia from x-ray images using a deep learning model with image preprocessing algorithm. Computer-Aided Diagnosis Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Gopichandh Danala, Yuchen Qiu, Bin Zheng
2020	—	`conf`	A Practical Method for Pupil segmentation in challenging conditions. GHTC Donya Khaledyan, Mohammad Eshghi, Morteza Heidari, Abolfazl Zargari Khuzani, Najmeh Mashhadi
2020	—	`conf`	A new interactive visual-aided decision-making supporting tool to predict severity of acute ischemic stroke. Biomedical Applications in Molecular, Structural, and Functional Imaging Gopichandh Danala, Sai Kiran Reddy Maryada, Morteza Heidari, Bappaditya Ray, Masoom Desai, Bin Zheng
2020	—	`conf`	An approach to human iris recognition using quantitative analysis of image features and machine learning. GHTC Abolfazl Zargari Khuzani, Najmeh Mashhadi, Morteza Heidari, Donya Khaledyan
2020	J	`jnl`	An approach to human iris recognition using quantitative analysis of image features and machine learning. CoRR Abolfazl Zargari Khuzani, Najmeh Mashhadi, Morteza Heidari, Donya Khaledyan
2020	J	`jnl`	Applying a random projection algorithm to optimize machine learning model for breast lesion classification. CoRR Morteza Heidari, Sivaramakrishnan Lakshmivarahan, Seyedehnafiseh Mirniaharikandehei, Gopichandh Danala, Sai Kiran Reddy Maryada, Hong Liu, Bin Zheng
2020	J	`jnl`	Applying a random projection algorithm to optimize machine learning model for predicting peritoneal metastasis in gastric cancer patients using CT images. CoRR Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Sivaramakrishnan Lakshmivarahan, Bin Zheng
2020	—	`conf`	Deep learning denoising for EOG artifacts removal from EEG signals. GHTC Najmeh Mashhadi, Abolfazl Zargari Khuzani, Morteza Heidari, Donya Khaledyan
2020	J	`jnl`	Deep learning denoising for EOG artifacts removal from EEG signals. CoRR Najmeh Mashhadi, Abolfazl Zargari Khuzani, Morteza Heidari, Donya Khaledyan
2020	J	`jnl`	Development and Assessment of a New Global Mammographic Image Feature Analysis Scheme to Predict Likelihood of Malignant Cases. IEEE Trans. Medical Imaging Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Wei Liu, Alan B. Hollingsworth, Hong Liu, Bin Zheng
2020	—	`conf`	Image quality enhancement in wireless capsule endoscopy with Adaptive Fraction Gamma Transformation and Unsharp Masking filter. GHTC Rezvan Ezatian, Donya Khaledyan, Kian Jafari, Morteza Heidari, Abolfazl Zargari Khuzani, Najmeh Mashhadi
2020	J	`jnl`	Improving performance of CNN to predict likelihood of COVID-19 using chest X-ray images with preprocessing algorithms. CoRR Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Gopichandh Danala, Yuchen Qiu, Bin Zheng
2020	J	`jnl`	Improving the performance of CNN to predict the likelihood of COVID-19 using chest X-ray images with preprocessing algorithms. Int. J. Medical Informatics Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Gopichandh Danala, Yuchen Qiu, Bin Zheng
2019	—	`conf`	Assessment of a quantitative mammographic imaging marker for breast cancer risk prediction. Image Perception, Observer Performance, and Technology Assessment Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Wei Qian, Yuchen Qiu, Bin Zheng
2019	—	`conf`	Association of computer-aided detection results and breast cancer risk. Computer-Aided Diagnosis Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Wei Qian, Yuchen Qiu, Bin Zheng
2019	—	`conf`	Design, fabrication and evaluation of non-imaging, label-free pre-screening tool using quantified bio-electrical tissue profile. Biomedical Applications in Molecular, Structural, and Functional Imaging Ali Zarafshani, Yunzhi Wang, Seyedeh-Nafiseh Mirniaharikandehei, Morteza Heidari, Faranak Aghaei, Siqi Wang, Liangzhong Xiang, Bin Zheng
2019	—	`conf`	Developing a computer-aided image analysis and visualization tool to predict region-specific brain tissue "at risk" for developing acute ischemic stroke. Biomedical Applications in Molecular, Structural, and Functional Imaging Gopichandh Danala, Morteza Heidari, Faranak Aghaei, Bappaditya Ray, Bin Zheng
2019	J	`jnl`	Developing global image feature analysis models to predict cancer risk and prognosis. Vis. Comput. Ind. Biomed. Art Bin Zheng, Yuchen Qiu, Faranak Aghaei, Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala
2018	—	`conf`	Applying a CAD-generated imaging marker to assess short-term breast cancer risk. Computer-Aided Diagnosis Seyedehnafiseh Mirniaharikandehei, Ali Zarafshani, Morteza Heidari, Yunzhi Wang, Faranak Aghaei, Bin Zheng
2018	—	`conf`	Applying a new unequally weighted feature fusion method to improve CAD performance of classifying breast lesions. Computer-Aided Diagnosis Abolfazl Zargari Khuzani, Gopichandh Danala, Morteza Heidari, Yue Du, Najmeh Mashhadi, Yuchen Qiu, Bin Zheng
2018	—	`conf`	Computer-aided classification of breast masses using contrast-enhanced digital mammograms. Computer-Aided Diagnosis Gopichandh Danala, Faranak Aghaei, Morteza Heidari, Teresa Wu, Bhavika Patel, Bin Zheng
2018	—	`conf`	Improving performance of breast cancer risk prediction using a new CAD-based region segmentation scheme. Computer-Aided Diagnosis Morteza Heidari, Abolfazl Zargari Khuzani, Gopichandh Danala, Yuchen Qiu, Bin Zheng
2013	—	`conf`	Universal image steganalysis using singular values of DCT coefficients. ISCISC Morteza Heidari, Shahrokh Gaemmaghami