School of Medicine
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Affiliate, Rad/Pediatric Radiology
Visiting Postdoctoral Scholar, Rad/Pediatric Radiology
BioI am a physicist by training (MSc) with a strong focus on Applied Biomechanics. I earned a Master of Research in Medical Imaging and obtained an EPSRC fellowship to carry out his PhD in University College London, collaborating actively with the Great Ormond Street Hospital for Children. His scientific career has granted him a diverse background embedding imaging and diagnostic methodologies at microscopical level (nanotechnology) and at macroscopic level (using MRI).
I developed a highly international character, having studied and worked in 5 countries (Italy, France, United Kingdom, Norway and United States), participating in research funded by international grants (EC – European Commission H2020 for the project “Imaging the Force of Cancer, FORCE”, NIH Grant R21 EB030757) and collaborate with numerous institution across the world (University College London, INSERM Paris, King’s College London, University Hospital Heidelberg, University of Oslo, NIH Bethesda, Brigham and Women’s Hospital, Stanford University).
I recently received a Horizon Marie Curie Global Fellowship from the European Commission which is funding the project GLIOBID: Guiding glioblastoma treatments by decrypting tumour biomechanics via Magnetic Resonance Elastography (more details here https://cordis.europa.eu/project/id/101068340).
This project will be carried out at Stanford under the supervision of Prof. Heike Daldrup-Link and combined synergistically with Theragnostic cutting-edge technologies.
Visiting Instructor, Rad/Pediatric Radiology
BioDr. Ashfaq, Doctor of Medicine currently working in the Molecular Imaging program( MIPS) at Stanford school of medicine.Her Research interest focuses in the field of radiology particularly Molecular and cellular imaging, contrast agents, and Bio Nanotechnology.
Basic Life Research Scientist, Rad/Pediatric Radiology
Current Role at StanfordDr. Robin Augustine's current research interests revolve around three fascinating areas: graphene-based bioscaffolds, islet transplantation, and synchronized cellular response.
In the field of graphene-based bioscaffolds, Dr. Augustine actively explores the potential of graphene as a biomaterial for tissue engineering. With its unique properties, graphene offers exceptional opportunities for developing innovative bioscaffolds. Dr. Augustine aims to design and engineer graphene-based materials that can provide structural support, promote cellular adhesion and growth, and enhance tissue regeneration. Leveraging the exceptional properties of graphene, such as its mechanical strength, electrical conductivity, and biocompatibility, Dr. Augustine's goal is to contribute to the development of advanced bioscaffolds for various applications in regenerative medicine.
Another area of Dr. Augustine's research focuses on islet transplantation, particularly in the context of treating diabetes. Islet transplantation holds promise as a potential cure for type 1 diabetes, involving the transfer of insulin-producing islet cells into the recipient's pancreas. Dr. Augustine investigates strategies to optimize islet transplantation techniques, improve the long-term viability of transplanted islets, and enhance their functionality. The ultimate objective is to contribute to the development of more effective and sustainable approaches for islet transplantation, with the aim of improving the quality of life for individuals living with diabetes.
Dr. Augustine also explores the field of synchronized cellular response, recognizing its crucial role in tissue development, regeneration, and repair. The focus is on understanding and manipulating the synchronized cellular response in complex tissue systems. By studying the intricate signaling pathways and cellular interactions, Dr. Augustine aims to identify key factors and mechanisms that regulate coordinated cellular behavior. This knowledge can inform the development of strategies to enhance tissue regeneration and repair processes, potentially leading to improved outcomes in various biomedical applications.
Through research in graphene-based bioscaffolds, islet transplantation, and synchronized cellular response, Dr. Augustine strives to contribute to the advancement of tissue engineering, regenerative medicine, and the development of innovative therapies for complex medical challenges.
Professor of Radiology (Pediatric Radiology) at the Stanford University Medical Center, Emeritus
Current Research and Scholarly InterestsAdvanced imaging, including magnetic resonance imaging, of injury to the developing central nervous system; including fetal, neonatal, infant and young child; and, including nonaccidental injury (e.g. child abuse).
See Biosketch for details.
Professor of Radiology (Pediatric Radiology) and, by courtesy, of Obstetrics and Gynecology (Maternal Fetal Medicine)
Current Research and Scholarly InterestsMagnetic Resonance Imaging and Sonographic diagnosis of fetal anomalies.
Focus interest in the diagnosis and conservative (non-surgical and minimal radiation) management of congenital broncho pulmonary malformations.
Imaging of appendicitis in children.
Sonography of the pediatric testis.
Associate Professor of Radiology (Pediatric Radiology) and, by courtesy, of Pediatrics
Current Research and Scholarly InterestsStudies on apoptotic cell death in vivo using the H MRS phenomenon.
Clinical Associate Professor, Pediatrics - Cardiology
Clinical Associate Professor (By courtesy), Radiology - Pediatric Radiology
BioDr. Buddhe earned her medical degree from the Osmania Medical College, Hyderabad, India. She completed her pediatrics residency and chief residency at the Brookdale University Hospital and Medical Center, NY and pediatric cardiology fellowship at the Children's Hospital of Michigan. Her advanced fellowship training in pediatric cardiac non-invasive imaging was completed at the Columbia University College of Physicians and Surgeons, Morgan Stanley Children's Hospital in New York. She earned her Masters degree in Clinical research and statistical analysis at the University of Michigan, Ann Arbor. She worked at Seattle Children's Hospital, University of Washington for almost ten years where she served as the Director of Non-invasive Imaging research and the Co-Director of cardiac MRI program. Her research interests include echocardiography and Cardiac MRI.
Associate Professor of Radiology (Pediatric Radiology)
Current Research and Scholarly InterestsUltrasonic beamforming, imaging methods, systems, and devices.
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.
Associate Professor of Radiology (Pediatric Radiology)
BioDr. Gatidis completed his medical training at the University of Tuebingen / Germany and received his Diploma in Mathematics from from the Universities of Tuebingen and Hagen / Germany. His research is focused on multiparametric oncologic medical imaging including hybrid imaging as well as on methods and applications of machine learning for medical image analysis.
Instructor, Radiology - Pediatric Radiology
BioMy research interests are focused on the development and clinical translation of new ultrasound imaging techniques to improve the quality and diagnostic value of ultrasound imaging. My interests are in clinical translation of ultrasound molecular imaging for early cancer detection, improving image quality in difficult-to-image patients, and to reduce noise artifacts in ultrasound images. In my research, I have refined adaptive beamforming methods such as coherence-based imaging, helped to pioneer the use of deep learning tools on raw ultrasound data to produce more accurate B-mode images and more sensitive ultrasound molecular images, and developed GPU-based software beamforming tools to deploy these methods in real-time on experimental and clinical imaging systems.