Sanaz Ameli
Researcher
Also affiliated: Johns Hopkins University (2018–2020); Johns Hopkins Medicine (2018–2019); Johns Hopkins Hospital (2020); Tehran University of Medical Sciences (2015–2016)
Faculty Researcher
Research Areas
Biomedical Subjects
Biography and Research Information
OverviewAI-generated summary
Sanaz Ameli's research focuses on the application of medical imaging techniques, particularly magnetic resonance imaging (MRI) and computed tomography (CT), in the diagnosis and characterization of diseases. Her work has investigated the role of radiomics features derived from MRI in determining the differentiation degree of hepatocellular carcinoma. Additionally, she has examined CT perfusion for stroke assessment, comparing conventional methods with automated software like RAPID. Ameli has published 25 papers, accumulating 396 citations, and holds an h-index of 13. She collaborates with Ishan Pandey and Heta Ladumor at the University of Arkansas for Medical Sciences, with whom she shares publications. Her recent activity indicates ongoing engagement in research.
Metrics
- h-index: 13
- Publications: 25
- Citations: 401
Selected Publications
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CT perfusion in stroke: Comparing conventional and RAPID automated software (2023)
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Role of MRI-Derived Radiomics Features in Determining Degree of Tumor Differentiation of Hepatocellular Carcinoma (2022)
Collaboration Network
Top Collaborators
- Role of MRI-Derived Radiomics Features in Determining Degree of Tumor Differentiation of Hepatocellular Carcinoma
- Role of MRI-Derived Radiomics Features in Determining Degree of Tumor Differentiation of Hepatocellular Carcinoma
- Role of MRI-Derived Radiomics Features in Determining Degree of Tumor Differentiation of Hepatocellular Carcinoma
- Role of MRI-Derived Radiomics Features in Determining Degree of Tumor Differentiation of Hepatocellular Carcinoma
- Role of MRI-Derived Radiomics Features in Determining Degree of Tumor Differentiation of Hepatocellular Carcinoma
- Role of MRI-Derived Radiomics Features in Determining Degree of Tumor Differentiation of Hepatocellular Carcinoma
- Role of MRI-Derived Radiomics Features in Determining Degree of Tumor Differentiation of Hepatocellular Carcinoma
- Role of MRI-Derived Radiomics Features in Determining Degree of Tumor Differentiation of Hepatocellular Carcinoma
- Role of MRI-Derived Radiomics Features in Determining Degree of Tumor Differentiation of Hepatocellular Carcinoma
- Role of MRI-Derived Radiomics Features in Determining Degree of Tumor Differentiation of Hepatocellular Carcinoma
- Role of MRI-Derived Radiomics Features in Determining Degree of Tumor Differentiation of Hepatocellular Carcinoma
- Role of MRI-Derived Radiomics Features in Determining Degree of Tumor Differentiation of Hepatocellular Carcinoma
- CT perfusion in stroke: Comparing conventional and RAPID automated software
- CT perfusion in stroke: Comparing conventional and RAPID automated software
- CT perfusion in stroke: Comparing conventional and RAPID automated software
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