Fatemeh Homayounieh

Orcid: 0000-0003-0402-4037

According to our database1, Fatemeh Homayounieh authored at least 13 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Using YOLO v7 to Detect Kidney in Magnetic Resonance Imaging.
CoRR, 2024

2021
CovidCTNet: an open-source deep learning approach to diagnose covid-19 using small cohort of CT images.
npj Digit. Medicine, 2021

Integrative analysis for COVID-19 patient outcome prediction.
Medical Image Anal., 2021

Multicenter Assessment of CT Pneumonia Analysis Prototype for Predicting Disease Severity and Patient Outcome.
J. Digit. Imaging, 2021

Association of AI quantified COVID-19 chest CT and patient outcome.
Int. J. Comput. Assist. Radiol. Surg., 2021

Cardiovascular Disease Risk Improves COVID-19 Patient Outcome Prediction.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

2020
Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak Labels.
IEEE J. Biomed. Health Informatics, 2020

Viewing Imaging Studies: How Patient Location and Imaging Site Affect Referring Physicians.
J. Digit. Imaging, 2020

Deep Learning Predicts Cardiovascular Disease Risks from Lung Cancer Screening Low Dose Computed Tomography.
CoRR, 2020

CovidCTNet: An Open-Source Deep Learning Approach to Identify Covid-19 Using CT Image.
CoRR, 2020

Accuracy of radiomics for differentiating diffuse liver diseases on non-contrast CT.
Int. J. Comput. Assist. Radiol. Surg., 2020

2019
Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction.
Nat. Mach. Intell., 2019

2018
Can Deep Learning Outperform Modern Commercial CT Image Reconstruction Methods?
CoRR, 2018


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