School of Medicine
Showing 1-10 of 33 Results
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Meysam Dadgar
Postdoctoral Scholar, Molecular Imaging Program at Stanford
BioMeysam Dadgar is a Postdoctoral Research Fellow at the Molecular Imaging Program at Stanford, School of Medicine. He obtained his Ph.D. in Biophysics as part of the J-PET collaboration at Jagiellonian University in Kraków, Poland. His research focuses on the development and optimization of advanced PET imaging systems for early cancer detection, integrating state-of-the-art medical imaging technologies, signal processing, and AI-based image enhancement techniques to improve diagnostic accuracy and patient outcomes.
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Jeremy Dahl
Associate Professor of Radiology (Pediatric Radiology)
On Partial Leave from 07/01/2024 To 06/30/2025Current Research and Scholarly InterestsUltrasonic beamforming, imaging methods, systems, and devices.
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Erpeng Dai
Instructor, Radiology
BioDr. Erpeng Dai's research interest is focused on advanced neuro MRI technique development and application. Previously, he has developed a series of novel techniques for high-resolution and fast diffusion MRI (dMRI). Currently, he is mainly working on distortion-free dMRI, advanced diffusion encoding, and brain microstructure and connectivity studies.
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Heike Daldrup-Link
Professor of Radiology (General Radiology) and, by courtesy, of Pediatrics (Hematology/Oncology)
Current Research and Scholarly InterestsAs a physician-scientist involved in the care of pediatric patients and developing novel pediatric molecular imaging technologies, my goal is to link the fields of nanotechnology and medical imaging towards more efficient diagnoses and image-guided therapies. Our research team develops novel imaging techniques for improved cancer diagnosis, for image-guided-drug delivery and for in vivo monitoring of cell therapies in children and young adults.
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Bruce Daniel
Professor of Radiology (Body Imaging) and, by courtesy, of Bioengineering
Current Research and Scholarly Interests1. MRI of Breast Cancer, particularly new techniques. Currently being explored are techniques including ultra high spatial resolution MRI and contrast-agent-free detection of breast tumors.
2. MRI-guided interventions, especially MRI-compatible remote manipulation and haptics
3. Medical Mixed Reality. Currently being explored are methods of fusing patients and their images to potentially improve breast conserving surgery, and other conditions.
