School of Medicine
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Bio Marios is an Instructor of Neuroimaging, part of the Faculty of the Stanford University School of Medicine.
He is in the Translational Neuroimaging lab of Dr Michael Zeineh since 2019, first as a postdoctoral fellow.
His research focuses mainly on myelin and iron imaging in neurodegenerative disorders, such as Alzheimer's Disease, primarily using experimental X-ray and MRI approaches.
Marios is a mechanical engineer by training (School of Mechanical Engineering, National Technical University of Athens, Greece). His thesis "Closed-loop force control of a haptic surgical simulator", was performed in the Control Systems Lab of Prof. Evangelos Papadopoulos.
In 2011 he obtained his MSc in Biomedical Engineering from ETH Zurich (Swiss Federal Institute of Technology). He performed his thesis in IBM Research on "Advanced pathology using the Microfluidic Probe", under Emmanuel Delamarche and Govind Kaigala, and was awarded the ETH medal for this work.
He completed his PhD in Bone Biomechanics in the lab of Prof. Ralph Muller in ETH Zurich, where he developed X-ray scattering-based methods to investigate bone microstructure in 3D, research that earned him the 2nd Student Award from the European Society for Biomechanics in 2015.
In 2016 he started using imaging methods to study brain microstructure, in the lab of Prof. Markus Rudin, in the Institute for Biomedical Engineering of ETH Zurich. There, he combined X-ray scattering with DTI, histology and CLARITY for studying rodent brain.
In 2017 he joined the MRI Biophysics group of Profs. Els Fieremans and Dmitry Novikov in New York University School of Medicine, to study human and mouse brain microstructure using X-ray scattering and diffusion MRI.
In 2019 he joined Dr Zeineh's Translational Neuroimaging lab in the Stanford School of Medicine as post-doctoral researcher, studying brain microstructure alterations in Alzheimer's disease, primarily using X-ray scattering and (diffusion) MRI.
His research on myelin in mouse and human brain using X-ray scattering has been supported by the Swiss National Science Foundation.
Professor of Radiology (Radiological Sciences Lab) and, by courtesy, of Psychology and of Electrical Engineering
Current Research and Scholarly Interests My present research is devoted to the advancement of functional magnetic resonance imaging sciences for applications in basic understanding of the brain in health and disease. We collaborate closely with departmental clinicians and with others in the school of medicine, humanities, and the engineering sciences.
Professor of Radiology (Musculoskeletal Imaging)
Current Research and Scholarly Interests My primary focus is application of new MR imaging technology to musculoskeletal problems. Current projects include: Rapid MRI for Osteoarthritis, Weight-bearing cartilage imaging with MRI, and MRI-based models of muscle. We are studying the application of new MR imaging techniques such as rapid imaging, real-time imaging, and short echo time imaging to learn more about biomechanics and pathology of bones and joints. I am also interested in functional imaging approaches using PET-MRI.
Michael L. Goris
Professor of Radiology (Nuclear Medicine), Emeritus
Current Research and Scholarly Interests Radio-immunotherapy. Medical Imaging Processing. Quantification for diagnosis Clinical validations
Associate Professor of Radiation Oncology (Radiation Physics) and, by courtesy, of Radiology (Molecular Imaging Program at Stanford)
Current Research and Scholarly Interests Applications of molecular imaging in radiation therapy, development of hypoxia and radiosensitivity imaging techniques, small animal image-guided conformal radiotherapy, image processing and analysis.
Carolina V. Guimaraes
Clinical Associate Professor, Radiology - Pediatric Radiology
Current Research and Scholarly Interests Fetal Neuro Imaging
H. Henry Guo, MD, PhD
Clinical Associate Professor, Radiology
Current Research and Scholarly Interests 3D printing of lung
Quality assurance of ultralow dose CT scans
Post radiation treatment changes of lung tumors
CT features as predictor of cardiovascular disease
FDG uptake in lung diseases