Seyedehnafiseh Mirniaharikandehei

According to our database, Seyedehnafiseh Mirniaharikandehei authored at least 15 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

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, Dery Gamero, Eveling Castro Gutierrez, Yuchen Qiu, Bin Zheng, Javier A. Jo

Proceedings of the Medical Imaging 2023: Image Perception, 2023

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, Yuchen Qiu, Bin Zheng

Proceedings of the Medical Imaging 2022: Image Perception, 2022

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

Proceedings of the Medical Imaging 2022: Image Perception, 2022

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, Bin Zheng

IEEE Trans. Biomed. Eng., 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

Comput. Methods Programs Biomed., 2021

A novel feature reduction method to improve performance of machine learning model.

Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Sivaramakrishnan Lakshmivarahan, Bin Zheng

Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

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 of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

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, Alan B. Hollingsworth, Hong Liu, Bin Zheng

IEEE Trans. Medical Imaging, 2020

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

Int. J. Medical Informatics, 2020

2019

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

Bin Zheng, Yuchen Qiu, Faranak Aghaei, Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala

Vis. Comput. Ind. Biomed. Art, 2019

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 of the Medical Imaging 2019: Image Perception, 2019

Association of computer-aided detection results and breast cancer risk.

Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Wei Qian, Yuchen Qiu, Bin Zheng

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

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

Faranak Aghaei, Alan B. Hollingsworth, Seyedehnafiseh Mirniaharikandehei, Yunzhi Wang, Hong Liu, Bin Zheng

Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, San Diego, 2019

Design, fabrication and evaluation of non-imaging, label-free pre-screening tool using quantified bio-electrical tissue profile.

Ali Zarafshani, Yunzhi Wang, Seyedeh-Nafiseh Mirniaharikandehei, Morteza Heidari, Faranak Aghaei, Siqi Wang, Liangzhong Xiang, Bin Zheng

Proceedings of the Medical Imaging 2019: Biomedical Applications in Molecular, 2019

2018

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

Seyedehnafiseh Mirniaharikandehei, Ali Zarafshani, Morteza Heidari, Yunzhi Wang, Faranak Aghaei, Bin Zheng

Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018