Universal image steganalysis using singular values of DCT coefficients. - Morteza Heidari; Shahrokh Gaemmaghami (ISCISC, 2013)

Computer-aided classification of breast masses using contrast-enhanced digital mammograms. - Gopichandh Danala; Faranak Aghaei; Morteza Heidari; Teresa Wu; Bhavika Patel; Bin Zheng 001 (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 001 (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 001 (Computer-Aided Diagnosis, 2018)

Applying a CAD-generated imaging marker to assess short-term breast cancer risk. - Seyedehnafiseh Mirniaharikandehei; Ali Zarafshani; Morteza Heidari; Yunzhi Wang 002; Faranak Aghaei; Bin Zheng 001 (Computer-Aided Diagnosis, 2018)

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 001 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2019)

Design, fabrication and evaluation of non-imaging, label-free pre-screening tool using quantified bio-electrical tissue profile. - Ali Zarafshani; Yunzhi Wang 002; Seyedeh-Nafiseh Mirniaharikandehei; Morteza Heidari; Faranak Aghaei; Siqi Wang; Liangzhong Xiang; Bin Zheng 001 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2019)

Association of computer-aided detection results and breast cancer risk. - Seyedehnafiseh Mirniaharikandehei; Morteza Heidari; Gopichandh Danala; Wei Qian 001; Yuchen Qiu; Bin Zheng 001 (Computer-Aided Diagnosis, 2019)

Assessment of a quantitative mammographic imaging marker for breast cancer risk prediction. - Morteza Heidari; Seyedehnafiseh Mirniaharikandehei; Abolfazl Zargari Khuzani; Wei Qian 001; Yuchen Qiu; Bin Zheng 001 (Image Perception, Observer Performance, and Technology Assessment, 2019)

Developing global image feature analysis models to predict cancer risk and prognosis. - Bin Zheng 001; Yuchen Qiu; Faranak Aghaei; Seyedehnafiseh Mirniaharikandehei; Morteza Heidari; Gopichandh Danala (Vis. Comput. Ind. Biomed. Art, 2019)

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 (GHTC, 2020)

A Practical Method for Pupil segmentation in challenging conditions. - Donya Khaledyan; Mohammad Eshghi; Morteza Heidari; Abolfazl Zargari Khuzani; Najmeh Mashhadi (GHTC, 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 (GHTC, 2020)

Deep learning denoising for EOG artifacts removal from EEG signals. - Najmeh Mashhadi; Abolfazl Zargari Khuzani; Morteza Heidari; Donya Khaledyan (GHTC, 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 001 (Biomedical Applications in Molecular, Structural, and Functional 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 001 (Int. J. Medical Informatics, 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 116; Alan B. Hollingsworth; Hong Liu 003; Bin Zheng 001 (IEEE Trans. Medical Imaging, 2020)

Applying quantitative image markers to predict clinical measures after aneurysmal subarachnoid hemorrhage. - Gopichandh Danala; Masoom Desai; Maryum Shoukat; Ahmer Asif; Morteza Heidari; Bin Zheng 001 (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 001 (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 (Computer-Aided Diagnosis, 2021)

A novel feature reduction method to improve performance of machine learning model. - Seyedehnafiseh Mirniaharikandehei; Morteza Heidari; Gopichandh Danala; Sivaramakrishnan Lakshmivarahan; Bin Zheng 001 (Computer-Aided Diagnosis, 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 001 (Comput. Methods Programs Biomed., 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 003; Bin Zheng 001 (IEEE Trans. Biomed. Eng., 2021)