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Morteza Heidari
Morteza Heidari
Imaging Scientist at Philips, PhD in Electrical Engineering, University of Oklahoma
Verifierad e-postadress på ou.edu - Startsida
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Improving the performance of CNN to predict the likelihood of COVID-19 using chest X-ray images with preprocessing algorithms
M Heidari, S Mirniaharikandehei, AZ Khuzani, G Danala, Y Qiu, B Zheng
International journal of medical informatics 144, 104284, 2020
3822020
COVID-Classifier: An automated machine learning model to assist in the diagnosis of COVID-19 infection in chest x-ray images
A Zargari Khuzani, M Heidari, SA Shariati
Scientific Reports 11 (1), 9887, 2021
2222021
Prediction of breast cancer risk using a machine learning approach embedded with a locality preserving projection algorithm
M Heidari, AZ Khuzani, AB Hollingsworth, G Danala, ...
Physics in Medicine & Biology 63 (3), 035020, 2018
1062018
Classification of breast masses using a computer-aided diagnosis scheme of contrast enhanced digital mammograms
G Danala, B Patel, F Aghaei, M Heidari, J Li, T Wu, B Zheng
Annals of biomedical engineering 46, 1419-1431, 2018
862018
Development and assessment of a new global mammographic image feature analysis scheme to predict likelihood of malignant cases
M Heidari, S Mirniaharikandehei, W Liu, AB Hollingsworth, H Liu, B Zheng
IEEE transactions on medical imaging 39 (4), 1235-1244, 2019
532019
Prediction of chemotherapy response in ovarian cancer patients using a new clustered quantitative image marker
A Zargari, Y Du, M Heidari, TC Thai, CC Gunderson, K Moore, RS Mannel, ...
Physics in Medicine & Biology 63 (15), 155020, 2018
482018
Applying a random projection algorithm to optimize machine learning model for predicting peritoneal metastasis in gastric cancer patients using CT images
S Mirniaharikandehei, M Heidari, G Danala, S Lakshmivarahan, B Zheng
Computer methods and programs in biomedicine 200, 105937, 2021
442021
Deep learning denoising for EOG artifacts removal from EEG signals
N Mashhadi, AZ Khuzani, M Heidari, D Khaledyan
2020 IEEE Global Humanitarian Technology Conference (GHTC), 1-6, 2020
292020
Applying a new computer-aided detection scheme generated imaging marker to predict short-term breast cancer risk
S Mirniaharikandehei, AB Hollingsworth, B Patel, M Heidari, H Liu, ...
Physics in Medicine & Biology 63 (10), 105005, 2018
282018
Applying a random projection algorithm to optimize machine learning model for breast lesion classification
M Heidari, S Lakshmivarahan, S Mirniaharikandehei, G Danala, ...
IEEE Transactions on Biomedical Engineering 68 (9), 2764-2775, 2021
272021
Developing a quantitative ultrasound image feature analysis scheme to assess tumor treatment efficacy using a mouse model
S Mirniaharikandehei, J VanOsdol, M Heidari, G Danala, SN Sethuraman, ...
Scientific reports 9 (1), 7293, 2019
232019
Applying a machine learning model using a locally preserving projection based feature regeneration algorithm to predict breast cancer risk
M Heidari, AZ Khuzani, G Danala, S Mirniaharikandehei, W Qian, ...
Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and …, 2018
172018
Improving performance of breast cancer risk prediction using a new CAD-based region segmentation scheme
M Heidari, AZ Khuzani, G Danala, Y Qiu, B Zheng
Medical Imaging 2018: Computer-Aided Diagnosis 10575, 166-171, 2018
172018
Framework for robust blind image watermarking based on classification of attacks
M Heidari, S Samavi, SMR Soroushmehr, S Shirani, N Karimi, K Najarian
Multimedia Tools and Applications 76, 23459-23479, 2017
172017
A hybrid DCT-SVD based image watermarking algorithm
M Heidari, N Karimi, S Samavi
2016 24th Iranian Conference on Electrical Engineering (ICEE), 838-843, 2016
162016
A hybrid deep learning approach to predict malignancy of breast lesions using mammograms
Y Wang, M Heidari, S Mirniaharikandehei, J Gong, W Qian, Y Qiu, ...
Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and …, 2018
142018
Developing global image feature analysis models to predict cancer risk and prognosis
B Zheng, Y Qiu, F Aghaei, S Mirniaharikandehei, M Heidari, G Danala
Visual Computing for Industry, Biomedicine, and Art 2, 1-14, 2019
132019
A new case-based CAD scheme using a hierarchical SSIM feature extraction method to classify between malignant and benign cases
M Heidari, S Mirniaharikandehei, G Danala, Y Qiu, B Zheng
Medical Imaging 2020: Imaging Informatics for Healthcare, Research, and …, 2020
92020
A new interactive visual-aided decision-making supporting tool to predict severity of acute ischemic stroke
G Danala, SKR Maryada, M Heidari, B Ray, M Desai, B Zheng
Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and …, 2020
92020
Computer-aided classification of breast masses using contrast-enhanced digital mammograms
G Danala, F Aghaei, M Heidari, T Wu, B Patel, B Zheng
Medical Imaging 2018: Computer-Aided Diagnosis 10575, 571-581, 2018
92018
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Artiklar 1–20