School of Medicine
Showing 1-20 of 38 Results
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Marlen Pajcini
Clinical Assistant Professor, Radiology
BioDr. Pajcini studied Molecular and Cell Biology as an undergraduate at U.C. Berkeley. He received his medical degree from Loma Linda University School of Medicine. 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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Benjamin Vincent Park
Affiliate, Department Funds
Resident in Rad/Interventional RadiologyCurrent Research and Scholarly InterestsInterventional Oncology, Immunotherapy
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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, PhD in physics, specializes in optics with a focus on its medical applications, particularly in characterizing extracellular vesicles through molecular fingerprinting. His research aims to advance optical techniques for improved disease diagnostics.
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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. -
Parth Patel
Temp - Non-Exempt, Rad/Pediatric Radiology
Current Role at StanfordAs a Software Developer at Stanford University, I am contributing to the Biomedical Informatics Research and Translation (BIRAT) initiative, where I am involved in transformative healthcare technologies. My role involves mastering full stack web development, conducting detailed software testing, evaluation, and documentation. Additionally, I am honing my skills in managing large datasets, implementing artificial intelligence and deep learning solutions, and enhancing computational resources. This position has allowed me to advance my technical expertise while supporting innovative research in the radiology department, ensuring the development of robust and efficient software solutions that meet the team’s needs.
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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.
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Suraj Pavagada
Postdoctoral Scholar, Radiology
BioSuraj Pavagada is a postdoctoral scholar at the Department of Radiology at Stanford University. His research focuses on exploiting magnetic levitation-based techniques for applications in point-of-care medical diagnostics.
Suraj received his PhD in Oncology from the University of Cambridge (24’), where he developed a new bioelectronic cell enrichment platform utilizing altered glycosylation patterns for the early detection of esophageal cancer. With a background in electrochemistry, surface functionalization, liquid biopsy, and molecular diagnostics, he is passionate about developing portable sensor technologies that can be translated into the clinic to facilitate timely diagnosis and monitoring. -
Norbert Pelc
Boston Scientific Applied Biomedical Engineering Professor and Professor of Radiology, Emeritus
Current Research and Scholarly InterestsBroadly, Dr. Pelc is interested in the physics, engineering and mathematics of medical imaging, especially computed tomography, digital x-ray imaging, magnetic resonance imaging, and hybrid multimodality systems. His current research is concentrated in the development of computed tomography systems with higher image quality and dose efficiency, in the characterization of system performance, and in the development and validation of new clinical applications.
