Seyedehnafiseh Mirniaharikandehei

17 papers Journal 8Unranked 9
YearRankTypeTitle / Venue / Authors
2023 — conf
An observer comparison study to evaluate a machine learning model to quantify the infected pneumonia on lung CT images.
Image Perception, Observer Performance, and Technology Assessment
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
2022 — conf
Assessment of a new CAD-generated imaging marker to predict risk of having mammography-occult tumors.
Image Perception, Observer Performance, and Technology Assessment
Seyedehnafiseh Mirniaharikandehei, Alan B. Hollingsworth, Meredith A. Jones, Hong Liu, Yuchen Qiu, Bin Zheng
2022 — conf
Developing interactive computer-aided detection tools to support translational clinical research.
Image Perception, Observer Performance, and Technology Assessment
Gopichandh Danala, Seyedehnafiseh Mirniaharikandehei, Meredith A. Jones, Tiancheng Gai, Sai Kiran Reddy Maryada, Dee Wu, Yuchen Qiu, Bin Zheng
2021 — conf
A novel feature reduction method to improve performance of machine learning model.
Computer-Aided Diagnosis
Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Sivaramakrishnan Lakshmivarahan, Bin Zheng
2021 J jnl
Applying a Random Projection Algorithm to Optimize Machine Learning Model for Breast Lesion Classification.
IEEE Trans. Biomed. Eng.
Morteza Heidari, Sivaramakrishnan Lakshmivarahan, Seyedehnafiseh Mirniaharikandehei, Gopichandh Danala, Sai Kiran Reddy Maryada, Hong Liu, Bin Zheng
2021 J jnl
Applying a random projection algorithm to optimize machine learning model for predicting peritoneal metastasis in gastric cancer patients using CT images.
Comput. Methods Programs Biomed.
Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Sivaramakrishnan Lakshmivarahan, Bin Zheng
2021 — conf
Detecting COVID-19 infected pneumonia from x-ray images using a deep learning model with image preprocessing algorithm.
Computer-Aided Diagnosis
Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Gopichandh Danala, Yuchen Qiu, Bin Zheng
2020 J jnl
Applying a random projection algorithm to optimize machine learning model for breast lesion classification.
CoRR
Morteza Heidari, Sivaramakrishnan Lakshmivarahan, Seyedehnafiseh Mirniaharikandehei, Gopichandh Danala, Sai Kiran Reddy Maryada, Hong Liu, Bin Zheng
2020 J jnl
Applying a random projection algorithm to optimize machine learning model for predicting peritoneal metastasis in gastric cancer patients using CT images.
CoRR
Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Sivaramakrishnan Lakshmivarahan, Bin Zheng
2020 J jnl
Development and Assessment of a New Global Mammographic Image Feature Analysis Scheme to Predict Likelihood of Malignant Cases.
IEEE Trans. Medical Imaging
Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Wei Liu, Alan B. Hollingsworth, Hong Liu, Bin Zheng
2020 J jnl
Improving performance of CNN to predict likelihood of COVID-19 using chest X-ray images with preprocessing algorithms.
CoRR
Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Gopichandh Danala, Yuchen Qiu, Bin Zheng
2020 J jnl
Improving the performance of CNN to predict the likelihood of COVID-19 using chest X-ray images with preprocessing algorithms.
Int. J. Medical Informatics
Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Gopichandh Danala, Yuchen Qiu, Bin Zheng
2019 — conf
Assessment of a quantitative mammographic imaging marker for breast cancer risk prediction.
Image Perception, Observer Performance, and Technology Assessment
Morteza Heidari, Seyedehnafiseh Mirniaharikandehei, Abolfazl Zargari Khuzani, Wei Qian, Yuchen Qiu, Bin Zheng
2019 — conf
Association of computer-aided detection results and breast cancer risk.
Computer-Aided Diagnosis
Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala, Wei Qian, Yuchen Qiu, Bin Zheng
2019 — conf
Developing a new quantitative imaging marker to predict pathological complete response to neoadjuvant chemotherapy.
Computer-Aided Diagnosis
Faranak Aghaei, Alan B. Hollingsworth, Seyedehnafiseh Mirniaharikandehei, Yunzhi Wang, Hong Liu, Bin Zheng
2019 J jnl
Developing global image feature analysis models to predict cancer risk and prognosis.
Vis. Comput. Ind. Biomed. Art
Bin Zheng, Yuchen Qiu, Faranak Aghaei, Seyedehnafiseh Mirniaharikandehei, Morteza Heidari, Gopichandh Danala
2018 — conf
Applying a CAD-generated imaging marker to assess short-term breast cancer risk.
Computer-Aided Diagnosis
Seyedehnafiseh Mirniaharikandehei, Ali Zarafshani, Morteza Heidari, Yunzhi Wang, Faranak Aghaei, Bin Zheng