Morteza Heidari

发表

M. Garshasbi, A. Tavasoli, M. Ashrafi, 2021, Human genomics.

Focal Electrographic Hints in Epileptic Spasm

M. Ghorbani, A. Tavasoli, G. Zamani, 2022 .

Improving the performance of CNN to predict the likelihood of COVID-19 using chest X-ray images with preprocessing algorithms

Morteza Heidari, Abolfazl Zargari Khuzani, University of Oklahoma, 2020, International Journal of Medical Informatics.

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

Bin Zheng, Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, 2019, Visual Computing for Industry, Biomedicine, and Art.

Developing a Quantitative Ultrasound Image Feature Analysis Scheme to Assess Tumor Treatment Efficacy Using a Mouse Model

Bin Zheng, Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, 2019, Scientific Reports.

COVID-Classifier: an automated machine learning model to assist in the diagnosis of COVID-19 infection in chest X-ray images

Morteza Heidari, Abolfazl Zargari Khuzani, S. A. Shariati, 2021, Scientific Reports.

COVID-Classifier: An automated machine learning model to assist in the diagnosis of COVID-19 infection in chest x-ray images

Morteza Heidari, Abolfazl Zargari Khuzani, S. Ali Shariati, 2020, medRxiv.

Prediction of chemotherapy response in ovarian cancer patients using a new clustered quantitative image marker

Morteza Heidari, Hong Liu, Bin Zheng, 2018, Physics in medicine and biology.

Prediction of breast cancer risk using a machine learning approach embedded with a locality preserving projection algorithm

Morteza Heidari, Abolfazl Zargari Khuzani, Bin Zheng, 2018, Physics in medicine and biology.

Clinical and Brain Imaging Findings of Children with Acute Ataxia: Ten Years of Experience at a Major Pediatric Referral Center

M. Asadabadi, Mahbod Issaiy, Morteza Heidari, 2022, Iranian Journal of Radiology.

Applying a new feature fusion method to classify breast lesions

Donya Khaledyan, Morteza Heidari, Najmeh Mashhadi, 2021, Medical Imaging.

An optimal machine learning model for breast lesion classification based on random projection algorithm for feature optimization

Morteza Heidari, Bin Zheng, Gopichandh Danala, 2021, Medical Imaging.

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

Morteza Heidari, University of Oklahoma, USA, 2020, Comput. Methods Programs Biomed..

Classification of Breast Masses Using a Computer-Aided Diagnosis Scheme of Contrast Enhanced Digital Mammograms

Teresa Wu, Morteza Heidari, Bin Zheng, 2018, Annals of Biomedical Engineering.

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

Morteza Heidari, Bin Zheng, Gopichandh Danala, 2021, Medical Imaging.

Image quality enhancement in wireless capsule endoscopy with Adaptive Fraction Gamma Transformation and Unsharp Masking filter

Abolfazl Zargari Khuzani, K. Jafari, Morteza Heidari, 2020, 2020 IEEE Global Humanitarian Technology Conference (GHTC).

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

B. Zheng, Faranak Aghaei, Y. Qiu, 2019, Vis. Comput. Ind. Biomed. Art.

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

Teresa Wu, Morteza Heidari, Bin Zheng, 2018, Medical Imaging.

Detecting COVID-19 infected pneumonia from x-ray images using a deep learning model with image preprocessing algorithm

Morteza Heidari, Bin Zheng, Gopichandh Danala, 2021, Medical Imaging.

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

Hong Liu, Bin Zheng, Morteza Heidari, 2020, IEEE Transactions on Medical Imaging.

Deep learning denoising for EOG artifacts removal from EEG signals pdf

Donya Khaledyan, Morteza Heidari, Abolfazl Zargari Khuzani, 2020, 2020 IEEE Global Humanitarian Technology Conference (GHTC).

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

Siqi Wang, Liangzhong Xiang, Ali Zarafshani, 2019, Medical Imaging.

Association of computer-aided detection results and breast cancer risk

Wei Qian, Morteza Heidari, Bin Zheng, 2019, Medical Imaging.

Applying a new computer-aided detection scheme generated imaging marker to predict short-term breast cancer risk

Morteza Heidari, Bin Zheng, Seyedehnafiseh Mirniaharikandehei, 2018, Physics in medicine and biology.

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

Ali Zarafshani, Morteza Heidari, Bin Zheng, 2018, Medical Imaging.

COVID-Classifier: An efficient machine learning model to assist in the diagnosis of COVID-19 infection in chest x-ray images

Abolfazl Zargari Khuzani, Morteza Heidari, S. A. Shariati, 2020 .

Applying Quantitative Radiographic Image Markers to Predict Clinical Complications After Aneurysmal Subarachnoid Hemorrhage: A Pilot Study

Bappaditya Ray, Masoom Desai, C. Prodan, 2022, Annals of Biomedical Engineering.

Prediction of breast cancer risk using a machine learning approach embedded with a locality preserving projection algorithm

Abolfazl Zargari Khuzani, B. Zheng, Hong Liu, 2018, Physics in medicine and biology.

Applying a machine learning model using a locally preserving projection based feature regeneration algorithm to predict breast cancer risk

Bin Zheng, Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, 2018, Medical Imaging.

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

Abolfazl Zargari Khuzani, Bin Zheng School of Electrical, U. Oklahoma, 2020, ArXiv.

Developing new quantitative CT image markers to predict prognosis of acute ischemic stroke patients.

Bappaditya Ray, Masoom Desai, B. Zheng, 2022, Journal of X-ray science and technology.

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

Morteza Heidari, Bin Zheng, Gopichandh Danala, 2021, Medical Imaging.

Image quality enhancement in wireless capsule endoscopy with Adaptive Fraction Gamma Transformation and Unsharp Masking filter

Engineering, Norman, Rezvan Ezatian, 2020, 2020 IEEE Global Humanitarian Technology Conference (GHTC).

An approach to human iris recognition using quantitative analysis of image features and machine learning pdf

Donya Khaledyan, Morteza Heidari, Abolfazl Zargari Khuzani, 2020, 2020 IEEE Global Humanitarian Technology Conference (GHTC).

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

Hong Liu, Bin Zheng, Morteza Heidari, 2020, IEEE Transactions on Biomedical Engineering.

A new case-based CAD scheme using a hierarchical SSIM feature extraction method to classify between malignant and benign cases

Bin Zheng, Morteza Heidari, Gopichandh Danala, 2020, Medical Imaging.

Assessment of short-term breast cancer risk using a frequency domain correlation based imaging marker

Morteza Heidari, Bin Zheng, Seyedehnafiseh Mirniaharikandehei, 2019, Medical Imaging.

A hybrid deep learning approach to predict malignancy of breast lesions using mammograms

Wei Qian, Jing Gong, Morteza Heidari, 2018, Medical Imaging.

A Practical Method for Pupil segmentation in challenging conditions

Abolfazl Zargari Khuzani, M. Eshghi, Morteza Heidari, 2020, 2020 IEEE Global Humanitarian Technology Conference (GHTC).

Assessment of a quantitative mammographic imaging marker for breast cancer risk prediction

Wei Qian, Morteza Heidari, Abolfazl Zargari Khuzani, 2019, Medical Imaging.

Applying a new computer-aided detection scheme generated imaging marker to predict short-term breast cancer risk

B. Zheng, Hong Liu, A. Hollingsworth, 2018, Physics in medicine and biology.