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Author Details
Full Name
Fatemeh Homayounieh
Affiliation
Massachusetts General Hospital and the Harvard Medical School
ORCID
Career Start Year
2018
Papers
47
H Index
15
Expertise
CM4AI Collaborator
PMID
Paper Title
Journal Title
Published Year
36459898
CT radiomics for differentiating oncocytoma from renal cell carcinomas: Systematic review and meta-analysis.
Clin Imaging
2023
38087718
Correlation of Radiomics with Treatment Response in Liver Metastases.
Acad Radiol
2023
37498830
CT radiomics for differentiating fat poor angiomyolipoma from clear cell renal cell carcinoma: Systematic review and meta-analysis.
PLoS One
2023
37384546
Complications after Nephron-sparing Interventions for Renal Tumors: Imaging Findings and Management.
Radiographics
2023
36966070
Deep-Learning-Based Whole-Lung and Lung-Lesion Quantification Despite Inconsistent Ground Truth: Application to Computerized Tomography in SARS-CoV-2 Nonhuman Primate Models.
Acad Radiol
2023
34412944
Characterization of Benign and Malignant Pancreatic Lesions with DECT Quantitative Metrics and Radiomics.
Acad Radiol
2022
35748211
Spectral segmentation and radiomic features predict carotid stenosis and ipsilateral ischemic burden from DECT angiography.
Diagn Interv Radiol
2022
35316621
Predictive values of AI-based triage model in suboptimal CT pulmonary angiography.
Clin Imaging
2022
32186414
Comparison of Baseline, Bone-Subtracted, and Enhanced Chest Radiographs for Detection of Pneumothorax.
Can Assoc Radiol J
2021
33603193
CovidCTNet: an open-source deep learning approach to diagnose covid-19 using small cohort of CT images.
NPJ Digit Med
2021
33544242
Use of radiomics to differentiate left atrial appendage thrombi and mixing artifacts on single-phase CT angiography.
Int J Cardiovasc Imaging
2021
33484428
Association of AI quantified COVID-19 chest CT and patient outcome.
Int J Comput Assist Radiol Surg
2021
33846041
A multi-center study of COVID-19 patient prognosis using deep learning-based CT image analysis and electronic health records.
Eur J Radiol
2021
33816155
Artificial intelligence-based vessel suppression for detection of sub-solid nodules in lung cancer screening computed tomography.
Quant Imaging Med Surg
2021
33894582
Investigating centering, scan length, and arm position impact on radiation dose across 4 countries from 4 continents during pandemic: Mitigating key radioprotection issues.
Phys Med
2021
33617300
Reply to "Quality Control of Radiomics Study to Differentiate Benign and Malignant Hepatic Lesions".
AJR Am J Roentgenol
2021
33634416
Multicenter Assessment of CT Pneumonia Analysis Prototype for Predicting Disease Severity and Patient Outcome.
J Digit Imaging
2021
34875692
CHEST CT USAGE IN COVID-19 PNEUMONIA: MULTICENTER STUDY ON RADIATION DOSES AND DIAGNOSTIC QUALITY IN BRAZIL.
Radiat Prot Dosimetry
2021
34964851
An Artificial Intelligence-Based Chest X-ray Model on Human Nodule Detection Accuracy From a Multicenter Study.
JAMA Netw Open
2021
34386818
PRACTICAL CHALLENGES WITH IMAGING COVID-19 IN BRAZIL: MITIGATION IN AND BEYOND THE PANDEMIC.
Radiat Prot Dosimetry
2021
34017001
Deep learning predicts cardiovascular disease risks from lung cancer screening low dose computed tomography.
Nat Commun
2021
34217490
Prediction of Coronary Calcification and Stenosis: Role of Radiomics From Low-Dose CT.
Acad Radiol
2021
33170104
Variations in CT Utilization, Protocols, and Radiation Doses in COVID-19 Pneumonia: Results from 28 Countries in the IAEA Study.
Radiology
2021
33242099
Prediction of burden and management of renal calculi from whole kidney radiomics: a multicenter study.
Abdom Radiol (NY)
2021
33045474
Low contrast volume dual-energy CT of the chest: Quantitative and qualitative assessment.
Clin Imaging
2021
33441578
Artificial intelligence matches subjective severity assessment of pneumonia for prediction of patient outcome and need for mechanical ventilation: a cohort study.
Sci Rep
2021
33091743
Integrative analysis for COVID-19 patient outcome prediction.
Med Image Anal
2021
32364406
Multiplatform, Non-Breath-Hold Fast Scanning Protocols: Should We Stop Giving Breath-Hold Instructions for Routine Chest CT? [Formula: see text].
Can Assoc Radiol J
2021
31515753
Viewing Imaging Studies: How Patient Location and Imaging Site Affect Referring Physicians.
J Digit Imaging
2020
33778612
CT Radiomics, Radiologists, and Clinical Information in Predicting Outcome of Patients with COVID-19 Pneumonia.
Radiol Cardiothorac Imaging
2020
32006169
Quantitative lobar pulmonary perfusion assessment on dual-energy CT pulmonary angiography: applications in pulmonary embolism.
Eur Radiol
2020
33044938
Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak Labels.
IEEE J Biomed Health Inform
2020
32743020
Integrative Analysis for COVID-19 Patient Outcome Prediction.
ArXiv
2020
32970733
Clinical and imaging features predict mortality in COVID-19 infection in Iran.
PLoS One
2020
32621238
Chest CT practice and protocols for COVID-19 from radiation dose management perspective.
Eur Radiol
2020
32592069
Accuracy of radiomics for differentiating diffuse liver diseases on non-contrast CT.
Int J Comput Assist Radiol Surg
2020
32842058
Computed Tomography Radiomics Can Predict Disease Severity and Outcome in Coronavirus Disease 2019 Pneumonia.
J Comput Assist Tomogr
2020
32171911
CT protocols and radiation doses for hematuria and urinary stones: Comparing practices in 20 countries.
Eur J Radiol
2020
32406776
Semiautomatic Segmentation and Radiomics for Dual-Energy CT: A Pilot Study to Differentiate Benign and Malignant Hepatic Lesions.
AJR Am J Roentgenol
2020
32195800
Can Dual-Energy Computed Tomography Quantitative Analysis and Radiomics Differentiate Normal Liver From Hepatic Steatosis and Cirrhosis?
J Comput Assist Tomogr
2020
31339351
Radiation Dose for Multiregion CT Protocols: Challenges and Limitations.
AJR Am J Roentgenol
2019
33244514
Competitive performance of a modularized deep neural network compared to commercial algorithms for low-dose CT image reconstruction.
Nat Mach Intell
2019
31442929
Comparison of image quality and radiation doses between rapid kV-switching and dual-source DECT techniques in the chest.
Eur J Radiol
2019
31413297
Deploying Clinical Process Improvement Strategies to Reduce Motion Artifacts and Expiratory Phase Scanning in Chest CT.
Sci Rep
2019
31203908
Spontaneous coronary artery dissection and associated myocardial bridging: Current evidence from cohort study and case reports.
Med Hypotheses
2019
30286097
Deep learning in chest radiography: Detection of findings and presence of change.
PLoS One
2018
30371613
Heterogeneous Pulmonary Perfusion on Dual-Energy Computed Tomography: Faulty Postprocessing or New Artifact?
J Comput Assist Tomogr
2018
1 - 47 of 47
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Universita del Piemonte Orientale
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Azienda Ospedaliero Universitaria (A.O.U.) of Cagliari-Polo di Monserrato
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Elizabeth C Jones
Clinical Center, National Institutes of Health
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Kyungpook National University
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Kyungpook National University
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Kyungpook National University
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Preetham Putha
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