Dr. Abolfazl Zargari Khuzani Profile

Dr. Abolfazl Zargari Khuzani

Research Assistant at Univ of California Santa Cruz

SPIE Involvement:

Author

Publications (10)

Proceedings Article | 15 February 2021 Presentation + Paper

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

Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Gopichandh Danala, Hung Pham, Sivaramakrishnan Lakshmivarahan, Bin Zheng

Proceedings Volume 11601, 116010L (2021) https://doi.org/10.1117/12.2580944

KEYWORDS: Machine learning, Tumor growth modeling, Optimization (mathematics), Breast, Performance modeling, Solid modeling, Principal component analysis, Medical imaging, Mammography, Data modeling

Read Abstract +

Proceedings Article | 15 February 2021 Presentation + Paper

Applying a new feature fusion method to classify breast lesions

Najmeh Mashhadi, Abolfazl Zargari Khuzani, Morteza Heidari, Donya Khaledyan, Sam Teymoori

Proceedings Volume 11597, 1159711 (2021) https://doi.org/10.1117/12.2582753

Read Abstract +

Proceedings Article | 15 February 2021 Presentation + Paper

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

Proceedings Volume 11597, 115970V (2021) https://doi.org/10.1117/12.2580948

KEYWORDS: X-rays, X-ray imaging, Computer aided diagnosis and therapy, Chest imaging, Solid modeling, Radiography, Evolutionary algorithms, Convolutional neural networks, Computer-aided diagnosis, Chest

Read Abstract +

Proceedings Article | 7 March 2019 Paper

Utilizing deep learning technology to develop a novel CT image marker for categorizing cervical cancer patients at early stage

Wei Liu, Abolfazl Zargaria, Theresa Thai, Tara Castellano, Camille Gunderson, Kathleen Moore, Robert Mannel, Hong Liu, Bin Zheng, Yuchen Qiu

Proceedings Volume 10879, 108790I (2019) https://doi.org/10.1117/12.2510037

KEYWORDS: Cervical cancer, Computed tomography, Pattern recognition

Read Abstract +

Proceedings Article | 4 March 2019 Presentation + Paper

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

Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Wei Qian, Yuchen Qiu, Bin Zheng

Proceedings Volume 10952, 109520X (2019) https://doi.org/10.1117/12.2512802

KEYWORDS: Breast cancer, Cancer, Computer aided diagnosis and therapy, Mammography, Tumor growth modeling, Solid modeling, Image fusion, Computer aided design, Performance modeling, Breast

Read Abstract +

Proceedings Article | 6 March 2018 Paper

A performance comparison of low- and high-level features learned by deep convolutional neural networks in epithelium and stroma classification

Yue Du, Roy Zhang, Abolfazl Zargari, Theresa Thai, Camille Gunderson, Katherine Moxley, Hong Liu, Bin Zheng, Yuchen Qiu

Proceedings Volume 10581, 1058116 (2018) https://doi.org/10.1117/12.2292840

KEYWORDS: Feature extraction, Convolutional neural networks, Tissues, Cancer, Image classification, Pathology, Breast cancer

Read Abstract +

Proceedings Article | 6 March 2018 Presentation + Paper

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

Morteza Heidari, Abolfazl Zargari Khuzani, Gopichandh Danala, Seyedehnafiseh Mirniaharikandehei, Wei Qian, Bin Zheng

Proceedings Volume 10579, 105790T (2018) https://doi.org/10.1117/12.2291524

KEYWORDS: Machine learning, Breast cancer, Tumor growth modeling, Cancer, Mammography, Breast, Image segmentation, Data modeling, Tissues, Feature extraction

Read Abstract +

Proceedings Article | 27 February 2018 Presentation + Paper

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

Proceedings Volume 10575, 105750P (2018) https://doi.org/10.1117/12.2293361

KEYWORDS: Breast cancer, Image segmentation, Breast, Cancer, Tissues, Mammography, Feature extraction, Tumor growth modeling, Solid modeling, X-ray technology

Read Abstract +

Proceedings Article | 27 February 2018 Paper

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

Proceedings Volume 10575, 105752L (2018) https://doi.org/10.1117/12.2293171

KEYWORDS: Image segmentation, Breast, Computer aided design, Feature extraction, Image fusion, Mammography, Tumors, Computer aided diagnosis and therapy, Optimization (mathematics), Breast cancer

Read Abstract +

Proceedings Article | 19 February 2018 Paper

Assessing the performance of quantitative image features on early stage prediction of treatment effectiveness for ovary cancer patients: a preliminary investigation

Abolfazl Zargari, Yue Du, Theresa Thai, Camille Gunderson, Kathleen Moore, Robert Mannel, Hong Liu, Bin Zheng, Yuchen Qiu

Proceedings Volume 10495, 104950K (2018) https://doi.org/10.1117/12.2290227

KEYWORDS: Tumors, Ovarian cancer, Computed tomography, Image analysis

Read Abstract +

Showing 5 of 10 publications

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Keywords/Phrases

Search In:

Publication Years