Seyedehnafiseh Mirniaharikandehei

发表

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.

Correlation of imaging and plasma based biomarkers to predict response to bevacizumab in epithelial ovarian cancer (EOC).

Danielle M. Enserro, R. Burger, Hong Liu, 2021, Gynecologic oncology.

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.

Developing a new quantitative imaging marker to predict pathological complete response to neoadjuvant chemotherapy

Bin Zheng, Seyedehnafiseh Mirniaharikandehei, Faranak Aghaei, 2019, Medical Imaging.

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.

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..

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

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

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.

Association of computer-aided detection results and breast cancer risk

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

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

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

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.

Exploring a new bilateral focal density asymmetry based image marker to predict breast cancer risk

Bin Zheng, Seyedehnafiseh Mirniaharikandehei, Yuchen Qiu, 2017, 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.

Automated Quantification of Pneumonia Infected Volume in Lung CT Images: A Comparison with Subjective Assessment of Radiologists

Eveling Castro-Gutierrez, J. Jo, Y. Qiu, 2023, Bioengineering.

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 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.

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.

Association between background parenchymal enhancement of breast MRI and BIRADS rating change in the subsequent screening

Bin Zheng, Seyedehnafiseh Mirniaharikandehei, Faranak Aghaei, 2018, Medical Imaging.

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.