Applying a CAD-generated imaging marker to assess short-term breast cancer risk. - Seyedehnafiseh Mirniaharikandehei; Ali Zarafshani; Morteza Heidari; Yunzhi Wang 002; Faranak Aghaei; Bin Zheng 001 (Computer-Aided Diagnosis, 2018)

Design, fabrication and evaluation of non-imaging, label-free pre-screening tool using quantified bio-electrical tissue profile. - Ali Zarafshani; Yunzhi Wang 002; Seyedeh-Nafiseh Mirniaharikandehei; Morteza Heidari; Faranak Aghaei; Siqi Wang; Liangzhong Xiang; Bin Zheng 001 (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2019)

Developing a new quantitative imaging marker to predict pathological complete response to neoadjuvant chemotherapy. - Faranak Aghaei; Alan B. Hollingsworth; Seyedehnafiseh Mirniaharikandehei; Yunzhi Wang 002; Hong Liu 003; Bin Zheng 001 (Computer-Aided Diagnosis, 2019)

Association of computer-aided detection results and breast cancer risk. - Seyedehnafiseh Mirniaharikandehei; Morteza Heidari; Gopichandh Danala; Wei Qian 001; Yuchen Qiu; Bin Zheng 001 (Computer-Aided Diagnosis, 2019)

Assessment of a quantitative mammographic imaging marker for breast cancer risk prediction. - Morteza Heidari; Seyedehnafiseh Mirniaharikandehei; Abolfazl Zargari Khuzani; Wei Qian 001; Yuchen Qiu; Bin Zheng 001 (Image Perception, Observer Performance, and Technology Assessment, 2019)

Developing global image feature analysis models to predict cancer risk and prognosis. - Bin Zheng 001; Yuchen Qiu; Faranak Aghaei; Seyedehnafiseh Mirniaharikandehei; Morteza Heidari; Gopichandh Danala (Vis. Comput. Ind. Biomed. Art, 2019)

Improving the performance of CNN to predict the likelihood of COVID-19 using chest X-ray images with preprocessing algorithms. - Morteza Heidari; Seyedehnafiseh Mirniaharikandehei; Abolfazl Zargari Khuzani; Gopichandh Danala; Yuchen Qiu; Bin Zheng 001 (Int. J. Medical Informatics, 2020)

Development and Assessment of a New Global Mammographic Image Feature Analysis Scheme to Predict Likelihood of Malignant Cases. - Morteza Heidari; Seyedehnafiseh Mirniaharikandehei; Wei Liu 116; Alan B. Hollingsworth; Hong Liu 003; Bin Zheng 001 (IEEE Trans. Medical Imaging, 2020)

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 001 (Computer-Aided Diagnosis, 2021)

A novel feature reduction method to improve performance of machine learning model. - Seyedehnafiseh Mirniaharikandehei; Morteza Heidari; Gopichandh Danala; Sivaramakrishnan Lakshmivarahan; Bin Zheng 001 (Computer-Aided Diagnosis, 2021)

Applying a random projection algorithm to optimize machine learning model for predicting peritoneal metastasis in gastric cancer patients using CT images. - Seyedehnafiseh Mirniaharikandehei; Morteza Heidari; Gopichandh Danala; Sivaramakrishnan Lakshmivarahan; Bin Zheng 001 (Comput. Methods Programs Biomed., 2021)

Applying a Random Projection Algorithm to Optimize Machine Learning Model for Breast Lesion Classification. - Morteza Heidari; Sivaramakrishnan Lakshmivarahan; Seyedehnafiseh Mirniaharikandehei; Gopichandh Danala; Sai Kiran Reddy Maryada; Hong Liu 003; Bin Zheng 001 (IEEE Trans. Biomed. Eng., 2021)

Developing interactive computer-aided detection tools to support translational clinical research. - Gopichandh Danala; Seyedehnafiseh Mirniaharikandehei; Meredith A. Jones; Tiancheng Gai; Sai Kiran Reddy Maryada; Dee Wu; Yuchen Qiu; Bin Zheng 001 (Image Perception, Observer Performance, and Technology Assessment, 2022)

Assessment of a new CAD-generated imaging marker to predict risk of having mammography-occult tumors. - Seyedehnafiseh Mirniaharikandehei; Alan B. Hollingsworth; Meredith A. Jones; Hong Liu 003; Yuchen Qiu; Bin Zheng 001 (Image Perception, Observer Performance, and Technology Assessment, 2022)

An observer comparison study to evaluate a machine learning model to quantify the infected pneumonia on lung CT images. - Alireza Abdihamzehkolaei; Seyedehnafiseh Mirniaharikandehei; Angel Choquehuanca; Marco Aedo Lopez; Wilmer Pacheco; Laura Estacio; Victor Cahui; Luis Huallpa; Kevin Quiñonez; Valeria Calderón; Ana Maria Gutiérrez; Ana Vargas; et al. (Image Perception, Observer Performance, and Technology Assessment, 2023)