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Journal Articles
- 2021
[j5]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: 105937 (2021)- [j4]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): 2764-2775 (2021) - 2020
- [j3]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: 104284 (2020) - [j2]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): 1235-1244 (2020) - 2019
- [j1]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: 1-14 (2019)
Conference and Workshop Papers
- 2021
- [c18]Gopichandh Danala, Masoom Desai, Maryum Shoukat, Ahmer Asif, Morteza Heidari, Bin Zheng:
Applying quantitative image markers to predict clinical measures after aneurysmal subarachnoid hemorrhage. Computer-Aided Diagnosis 2021 - [c17]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. Computer-Aided Diagnosis 2021 - [c16]Najmeh Mashhadi, Abolfazl Zargari Khuzani, Morteza Heidari, Donya Khaledyan, Sam Teymoori:
Applying a new feature fusion method to classify breast lesions. Computer-Aided Diagnosis 2021 - [c15]Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Sivaramakrishnan Lakshmivarahan, Bin Zheng:
A novel feature reduction method to improve performance of machine learning model. Computer-Aided Diagnosis 2021 - 2020
- [c14]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: 1-7 - [c13]Donya Khaledyan, Mohammad Eshghi, Morteza Heidari, Abolfazl Zargari Khuzani, Najmeh Mashhadi:
A Practical Method for Pupil segmentation in challenging conditions. GHTC 2020: 1-5 - [c12]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: 1-6 - [c11]Najmeh Mashhadi, Abolfazl Zargari Khuzani, Morteza Heidari, Donya Khaledyan:
Deep learning denoising for EOG artifacts removal from EEG signals. GHTC 2020: 1-6 - [c10]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. Biomedical Applications in Molecular, Structural, and Functional Imaging 2020: 113171V - 2019
- [c9]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. Biomedical Applications in Molecular, Structural, and Functional Imaging 2019: 109530M - [c8]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. Biomedical Applications in Molecular, Structural, and Functional Imaging 2019: 1095304 - [c7]Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Wei Qian, Yuchen Qiu, Bin Zheng:
Association of computer-aided detection results and breast cancer risk. Computer-Aided Diagnosis 2019: 109500I - [c6]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. Image Perception, Observer Performance, and Technology Assessment 2019: 109520X - 2018
- [c5]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. Computer-Aided Diagnosis 2018: 105750P - [c4]Gopichandh Danala, Faranak Aghaei, Morteza Heidari, Teresa Wu, Bhavika Patel, Bin Zheng:
Computer-aided classification of breast masses using contrast-enhanced digital mammograms. Computer-Aided Diagnosis 2018: 105752K - [c3]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. Computer-Aided Diagnosis 2018: 105752L - [c2]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. Computer-Aided Diagnosis 2018: 105753F - 2013
- [c1]Morteza Heidari, Shahrokh Gaemmaghami:
Universal image steganalysis using singular values of DCT coefficients. ISCISC 2013: 1-5
Informal and Other Publications
- 2020
- [i5]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 abs/2006.12229 (2020) - [i4]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 abs/2009.00675 (2020) - [i3]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 abs/2009.05880 (2020) - [i2]Najmeh Mashhadi, Abolfazl Zargari Khuzani, Morteza Heidari, Donya Khaledyan:
Deep learning denoising for EOG artifacts removal from EEG signals. CoRR abs/2009.08809 (2020) - [i1]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 abs/2009.09937 (2020)
Coauthor Index
aka: Seyedeh-Nafiseh Mirniaharikandehei
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