School of Medicine
Showing 1-10 of 20 Results
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Helen Nadel
Clinical Professor, Radiology - Pediatric Radiology
Current Research and Scholarly InterestsClinical research and scholarly interests include topics in Pediatric Nuclear Medicine to include AI evaluation for scintigraphic quantitation, PET MR evaluation of optimized techniques for use in pediatric patient management
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Sydney Clara Nagy
Temp - Non-Exempt, Rad/Molecular Imaging Program at Stanford
BioWebsite: https://sydneycnagy.wixsite.com/sydneyclaranagy
IMDb: https://www.imdb.com/name/nm10012799 -
Sandy Napel
Professor of Radiology (Integrative Biomedical Imaging Informatics) and, by courtesy, of Medicine (Medical Informatics) and of Electrical Engineering
Current Research and Scholarly InterestsMy research seeks to advance the clinical and basic sciences in radiology, while improving our understanding of biology and the manifestations of disease, by pioneering methods in the information sciences that integrate imaging, clinical and molecular data. A current focus is on content-based radiological image retrieval and integration of imaging features with clinical and molecular data for diagnostic, prognostic, and therapy planning decision support.
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Arutselvan Natarajan
Senior Research Scientist - Basic Life, Rad/Molecular Imaging Program at Stanford
Current Role at StanfordSenior Scientist
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Sanaz Nazari Farsani
Postdoctoral Scholar, Molecular Imaging Program at Stanford
BioDr. Nazari Farsani works on developing and implementing machine learning techniques for automated tissue segmentation from brain PET/MR images. She is also developing machine learning algorithms for PET data correction and de-noising.
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Lindsey Negrete
Clinical Assistant Professor, Radiology
BioStanford University, BS 2010
Brown University, MD 2015
Scripps Transitional Year, Intern
University of California San Diego, Residency -
Kerem Nernekli
Postdoctoral Scholar, Radiology
BioDr. Nernekli has a wide-ranging research background encompassing molecular imaging, surgical neuroanatomy, clinical outcome studies, and machine learning, focusing on medical image reconstruction and multimodal deep learning algorithms for classification and segmentation tasks. Currently, he is focused on investigating novel radiotracer and activatable Gd-based contrast agents to detect senescence in large animal models with PET/MRI. Furthermore, Dr. Nernekli is exploring the potential of ferumoxytol-MRI and two-photon microscopy to correlate theranostic nanoparticles in their natural environment in order to gain a deeper understanding of their interactions with tumor-associated microenvironments.
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Sharon S. Newman
Postdoctoral Scholar, Radiology
BioI am interested in increasing access to medical technologies, particularly in low-resource settings. I develop computational and bio-analytical technologies for early detection of disease, presently focusing on methods to increase sensitivity and multiplexing capabilities in diagnostic devices. Through developing these systems, I get to explore and play with subjects such as statistical modeling, image processing, manipulation and design of molecular systems, and optimization techniques. As a student, I have gotten to take classes ranging from many project based computation courses to linear dynamical systems to deep dives into chemistry of therapeutic drug development. I look forward to bringing my wide base of experiences in both computational and biological realms towards breakthroughs in precision health and diagnostics amenable to lower resource settings.
I also am always excited to teach and mentor, and have been involved with a myriad of opportunities including curriculum development and teaching AI/ML to high school students in US and India, K-12 STEM outreach in US, Scratch curriculum teaching to teachers in Taiwan, and graduate level courses such as Biological macromolecules to Stanford students! Im always happy to chat about how to best reach and inspire students and people of all ages, so please reach out!
