Duygu Tosun-Turgut, PhD
Professor
Radiology
School of Medicine

415-221-4810 ext. 23650

Duygu Tosun-Turgut, PhD, is a Professor of Radiology and Biomedical Imaging at UCSF and the Founding Director of Medical Imaging Informatics and Artificial Intelligence at the San Francisco Veterans Affairs Medical Center.

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Dr. Tosun-Turgut obtained her BSc in Electrical and Electronic Engineering from Bilkent University, Turkey in 1999, and she received her MSE in Electrical and Computer Engineering from The Johns Hopkins University, Maryland in 2001. In 2003, she completed her MA in Mathematics from The Johns Hopkins University, and she earned her PhD in Electrical and Computer Engineering from The Johns Hopkins University in 2005, followed by a postdoctoral fellowship in Neurology from the University of California, Los Angeles in 2008. Her independent research career began as a Research Scientist at the Center for Imaging Neurodegenerative Diseases (CIND) at UCSF, followed by a faculty appointment at the Department of Radiology and Biomedical Imaging at UCSF in 2011. Since her initial faculty appointment at UCSF, she first appointed as Co-Director of CIND and then transitioned to the Founding Director of the Medical Imaging Informatics and Artificial Intelligence.

Dr. Tosun-Turgut’s research focuses on neuroimaging of neurodegenerative diseases and psychiatric disorders and aims to apply advanced imaging technology for discovery of multi-modal biomarkers to detect the progression of neurodegenerative pathologies before they cause irreversible damage to the brain. She aims to develop validated biomarkers of neurodegeneration that may be used for early diagnosis, initiation of prevention strategies in those at risk, monitoring of efficacy and regional specificity of therapies, and clinical trial enrichment. Her research has been funded by NIH, the California Department of Public Health, Department of Defense, Alzheimer’s Association, Michael J Fox Foundation, and industry partners.

Expertise: Computational neuroimaging

Specialty: Neurodegenerative brain diseases; Neuroimaging; Alzheimer’s disease; Front temporal dementia; Late-life depression; Biomarkers; Imaging statistics

Professional Interests: Medical image processing and analysis, computational medicine, magnetic resonance imaging (MRI), positron emission tomography (PET), multi-modality neuroimaging research, aging, Alzheimer's disease, neurodegenerative diseases, late-life depression, imaging biomarkers, biomarkers, prediction models, neuropathology

Education and Training:

  • Bachelor of Science: Bilkent University, Turkey - Electrical and Electronic Engineering
  • Masters of Science: Johns Hopkins University, Maryland - Electrical and Computer Engineering
  • Masters in Art: Johns Hopkins University, Maryland - Mathematics
  • Doctor of Philosophy: Johns Hopkins University, Maryland - Electrical and Computer Engineering
  • Postdoctoral Fellowship: University of California, Los Angeles - Neurology

Awards

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  • Distinguished Investigator Award, The Academy for Radiology & Biomedical Imaging Research, 2022
  • BioData World West, Top Young Artificial Intelligence (AI) Talent, 2017
  • Parkinson's Progression Markers Initiative (PPMI) Data Challenge, The Michael J Fox Foundation for Parkinson's Research, 2016
  • de Leon Prize in Neuroimaging, Alzheimer's Association, Paris, France, 2011
  • AFAR-GE Healthcare Junior Investigator Award for Excellence in Imaging and Aging Research, American Federation for Aging Research and GE Healthcare, Santa Barbara, CA, 2011
  • AFAR-GE Healthcare Junior Investigator Award for Excellence in Imaging and Aging Research, American Federation for Aging Research and GE Healthcare, Santa Barbara, CA, 2010
  • Francois Erbsmann Prize, Information Processing in Medical Imaging (IPMI) Conference, Glenwood Springs, CO, 2005

Education & Training

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  • Diversity, Equity, and Inclusion Champion Training University of California 2022

Interests

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  • neurodegenerative diseases
  • biomarkers
  • Medical image processing and analysis
  • data science
  • neuropathology
  • late-life depression
  • imaging biomarkers
  • Alzheimer's disease
  • magnetic resonance imaging (MRI)
  • aging
  • imaging informatics
  • prediction models
  • positron emission tomography (PET)
  • artificial intelligence
  • multi-modality neuroimaging research
  • big data
  • machine learning
  • data analysis
  • computational medicine

Websites

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Grants and Projects

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Publications (112)

Top publication keywords:
BrainPlaque, AmyloidPositron-Emission Tomographytau ProteinsAtrophyMagnetic Resonance ImagingCerebrovascular CirculationImage Interpretation, Computer-AssistedLewy Body DiseaseCognitive DysfunctionAlzheimer DiseaseCerebral Amyloid AngiopathyDepressive Disorder, MajorCerebral CortexAmyloid beta-Peptides

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