School of Medicine
Showing 21-30 of 100 Results
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Thomas Guenther
Postdoctoral Scholar, Molecular Imaging Program at Stanford
Current Research and Scholarly InterestsCurrent research projects include the development of:
1) Gastrin-releasing peptide receptor (GRPR) targeted radiotheranostics (Cu-64, Ga-68, Tb-161, Lu-177, amongst others)
2) Radiohybrid-based cholecystokinin-2 receptor (CCK-2R) targeted radiotheranostics (F-18, Lu-177)
3) Radiotherapeutics for targeted alpha-particle therapy
4) Radiotheranostics for novel targets
All projects have a strong focus on clinical translation -
Alix Guevara Tique
Postdoctoral Scholar, Radiology
BioPostdoctoral Scholar IRIS
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Hoda Hashemi
Postdoctoral Scholar, Radiological Sciences Laboratory
BioHoda S. Hashemi is a postdoctoral scholar at the Ultrasound Imaging & Instrumentation Lab at Stanford University. She received her PhD in Electrical and Computer Engineering from the University of British Columbia (UBC) in 2023. She was also an ultrasound research intern in research and innovation team at DarkVision Technologies Inc. from 2021 to 2023. She holds a M.A.Sc. from Concordia University and a B.Sc. from Sharif University of Technology. Her research interests are ultrasound molecular imaging, doppler imaging, elastography and deep learning. Her research has been funded by the NIH T32 Fellowship at Stanford, the Canadian NSERC Postdoctoral Fellowship, and the Ultrasound Imaging & Instrumentation Lab at Stanford University.
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Elima Hussain
Postdoctoral Scholar, Radiology
BioDr. Elima is working on developing and optimizing rapid dual-contrast PET/MRI protocols for the comprehensive staging and assessment of rectal cancer. She is working on integrating deep learning-based algorithms for image reconstruction and motion correction. This protocol aims to reduce the patient scan times. She believes this innovative approach can potentially replace multiple imaging exams with a single, efficient scan, benefiting both patients and healthcare systems. Apart from this, her research interests also include translation of quantitative MRI and PET/MRI, radiomics, machine learning for predicting treatment response in rectal cancer, gynecologic malignancies, and inflammatory bowel diseases.
