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Mahnaz Etehadtavakol

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affiliation: Isfahan University of Technology, Electrical and Computer Engineering Department, Isfahan, Iran

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2020 – today

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2024
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Mehdi Etehadtavakol, Mahnaz Etehadtavakol, Eddie Y. K. Ng:
Enhanced thyroid nodule segmentation through U-Net and VGG16 fusion with feature engineering: A comprehensive study. Comput. Methods Programs Biomed. 251: 108209 (2024)
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Mehdi Etehadtavakol, Mahnaz Etehadtavakol, Golnaz Moallem, Eddie Y. K. Ng:
Evaluating Radiomics Feature Reduction for Thyroid Nodule Segmentation in Thermal Imaging. AIIIMA 2024: 69-87
2023
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Mahnaz Etehadtavakol, Mojtaba Sirati-Amsheh, Eddie Y. K. Ng:
Radiomics Feature Selection from Thyroid Thermal Images to Improve Thyroid Nodules Interpretations. AIIIMA@MICCAI 2023: 121-142
2022
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Abdurrahim Rahimian, Mahnaz Etehadtavakol, Masoud Moslehi, Eddie Y. K. Ng:
Comparing Different Algorithms for the Pseudo-Coloring of Myocardial Perfusion Single-Photon Emission Computed Tomography Images. J. Imaging 8(12): 331 (2022)

2010 – 2019

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2019
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Mahnaz Etehadtavakol, Zahra Emrani, E. Y. K. Ng:
Rapid extraction of the hottest or coldest regions of medical thermographic images. Medical Biol. Eng. Comput. 57(2): 379-388 (2019)
2011
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Mahnaz Etehadtavakol, E. Y. K. Ng, Caro Lucas, Saeed Sadri, Niloofar Gheissari:
Estimating the Mutual Information Between Bilateral Breast in Thermograms Using Nonparametric Windows. J. Medical Syst. 35(5): 959-967 (2011)
2010
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Mahnaz Etehadtavakol, Saeed Sadri, E. Y. K. Ng:
Application of K- and Fuzzy c-Means for Color Segmentation of Thermal Infrared Breast Images. J. Medical Syst. 34(1): 35-42 (2010)

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