Seyedehnafiseh Mirniaharikandehei
Orcid: 0000-0002-1070-4517
According to our database1,
Seyedehnafiseh Mirniaharikandehei
authored at least 15 papers
between 2018 and 2023.
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Bibliography
2023
An observer comparison study to evaluate a machine learning model to quantify the infected pneumonia on lung CT images.
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.
Proceedings of the Medical Imaging 2022: Image Perception, 2022
Developing interactive computer-aided detection tools to support translational clinical research.
Proceedings of the Medical Imaging 2022: Image Perception, 2022
2021
Applying a Random Projection Algorithm to Optimize Machine Learning Model for Breast Lesion Classification.
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.
Comput. Methods Programs Biomed., 2021
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.
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.
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.
Int. J. Medical Informatics, 2020
2019
Developing global image feature analysis models to predict cancer risk and prognosis.
Vis. Comput. Ind. Biomed. Art, 2019
Assessment of a quantitative mammographic imaging marker for breast cancer risk prediction.
Proceedings of the Medical Imaging 2019: Image Perception, 2019
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.
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.
Proceedings of the Medical Imaging 2019: Biomedical Applications in Molecular, 2019
2018
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018