Radiology
Showing 421-440 of 667 Results
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Eric Olcott
Professor of Radiology (Veterans Affairs), Emeritus
Current Research and Scholarly InterestsBody imaging utilizing CT, ultrasound and MRI. Imaging of appendicitis. Imaging of pancreatic and biliary malignancies. Imaging of trauma. Magnetic resonance angiography.
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Marlen Pajcini
Clinical Assistant Professor, Radiology
BioDr. Pajcini received his undergraduate degree in Molecular and Cell Biology from U.C. Berkeley, graduating with Honors. He received his medical degree from Loma Linda University School of Medicine with Alpha Omega Alpha Honors. He completed Diagnostic Radiology residency at Santa Clara Valley Medical Center and a Breast Imaging fellowship at Stanford University School of Medicine. His clinical focus is on breast cancer screening, diagnosis, and treatment.
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John Christopher (J.C.) Panagides
Affiliate, Department Funds
Resident in Rad/Interventional RadiologyBioCurrent Integrated Interventional and Diagnostic Radiology (IR/DR) Resident at Stanford Medicine and recent graduate of Harvard Medical School (Class of 2023) with deep interests in emerging applications of interventional and diagnostic radiology, minimally invasive procedures, and biomedical engineering. Extensive experience in biomedical project design and clinical research in predictive analytics, radiology practice management, and population health outcomes.
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Eunkyung Angela Park, MD, PhD
Clinical Associate Professor, Radiology - Rad/Nuclear Medicine
BioDr. Eunkyung Angela Park is a Clinical Associate Professor (affiliated) at the Department of Radiology at Stanford and Nuclear Medicine Staff Physician at Palo Alto VA Medical Center. She takes care of patients having cancer, various diseases in the brain, heart and other organs through molecular imaging and targeted radiopharmaceutical therapies. She completed clinical and research training at the Yale University PET Center, University of Iowa Hospitals and Clinics and Seoul National University Hospital in Korea. She served as Associate Section Chief in Nuclear Medicine at University of Utah. Her main professional interests include global promotion of nuclear medicine, clinical/translational research in nuclear neurology, and operational system innovation. Dr. Park is particularly interested in early and accurate differential diagnoses of mixed neurodegenerative disorders by using brain PET imaging with various radiopharmaceuticals targeting glucose metabolism, amyloid, tau, neuroreceptors and transporters. She enjoys traveling, practicing yoga, and listening to music.
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Jun Hyung Park
Research and Development Science and Engineer 1, Rad/Molecular Imaging Program at Stanford
Current Role at StanfordI joined in Cyclotron and radiochemstry facility in 2014. I focus on routine radiopharmaceutical production, including 18F tracers (18F-Flumazenil, 18F-FTC-146, 18F-FLT, 18F Arag, 18F-FSPG etc.); 11C tracers (11C UCB-J, 11C-raclopride, 11C-PIB, 11C-methionine, 11C DPA-713 etc.); 15O-H2O and 68Ga-DOTATATE radiochemistry for clinical use and supporting various of pre-clinical studies.
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Ugur Parlatan
Basic Life Research Scientist, Rad/Canary Center at Stanford for Cancer Early Detection
BioDr. Ugur Parlatan is a Basic Life Research Scientist at the Canary Center at Stanford for Cancer Early Detection. Trained as a physicist, he leads photonics laboratory activities and develops optical spectroscopy and imaging approaches for molecular fingerprinting and characterization of extracellular vesicles (EVs). His work includes designing and optimizing measurement workflows, analyzing EV signatures from biomedical samples, and supporting disease-focused studies across cancer and metabolic conditions (including lung cancer, glioblastoma, pancreatic cancer, diabetes, and hepatotoxicity). He also mentors trainees (including NIH CREST program interns) and contributes to manuscripts and grant applications.
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Magdalini Paschali
Postdoctoral Scholar, Radiology
Current Research and Scholarly InterestsMy research focuses on utilizing machine learning models to enhance the understanding, diagnosis, and treatment of clinical disorders. I am interested in multi-modal learning, combining imaging data like MRI and CT scans with non-imaging data such as electronic health records, creating more holistic and accurate diagnostic models. I am also interested in the robustness of deep neural networks under domain shifts, investigating how models perform when faced with changes in input data distributions.
Finally, I am interested in early biomarker identification using AI model interpretability, to enable the early detection and targeted treatment of chronic disorders. -
Kim Butts Pauly
Professor of Radiology (Radiological Sciences Lab) and, by courtesy, of Electrical Engineering
Current Research and Scholarly InterestsWe are investigating and developing, and applying focused ultrasound in neuromodulation, blood brain barrier opening, and ablation for both neuro and body applications.
