Stanford University
Showing 28,921-28,940 of 34,415 Results
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Liyan Sun
Postdoctoral Scholar, Radiological Sciences Laboratory
Current Research and Scholarly InterestsPhysics-driven deep learning algorithms for MRI/CT reconstruction and analysis:
(1) MRI acceleration with partial measurements.
(2) Medical image segmentation under limited data resources.
(3) Unsupervised/supervised medical image synthesis for MRI or CT.
(4) Longitudinal medical data analysis with deep learning models.
(5) PET image reconstruction and analysis. -
Louise Y Sun
Professor of Anesthesiology, Perioperative and Pain Medicine (Cardiac)
BioDr. Louise Sun is a Professor of Anesthesiology, Perioperative and Pain Medicine and Director of Cardiovascular Research. She is an Adjunct Scientist at the Institute for Clinical Evaluative Sciences (ICES) in Toronto. Prior to this, she was an Associate Professor of Anesthesiology and Epidemiology, Director of Big Data and Health Bioinformatics Research at the University of Ottawa Heart Institute, and a Clinical Research Chair in Big Data and Cardiovascular Outcomes at the University of Ottawa.
Dr. Sun received her medical degree from McMaster University. She completed her anesthesiology residency at the University of Ottawa and her Masters of Science in Epidemiology at the Harvard School of Public Health, followed by a clinical and research fellowship in cardiac anesthesia at the University of Toronto. She then joined the Division of Cardiac Anesthesiology at the University of Ottawa Heart Institute and was cross appointed as an ICES faculty member.
Dr. Sun’s areas of clinical focus are hemodynamic monitoring and heart failure. Her methodologic areas of focus are the conduct of population-based cohort studies using large healthcare databases; predictive analytics; sex and gender epidemiology; patient engagement; innovative methods for data processing and warehousing; and software and applications development. Her research leverages big data and digital technology to bridge key gaps in the delivery of care and outcomes for patients with heart failure and/or undergoing cardiovascular interventions, zooming in on sex/gender and personalized care. She holds several patents and collaborates with health authorities and policy makers to evaluate and report on models of cardiac healthcare delivery.
Dr. Sun is active in the scientific community. She sits on a number of US, Canadian and international editorial boards and scientific and grant review committees, and collaborates nationally and internationally on a variety of population health and data science initiatives. Her patient-centered research program aims to improve access to care and outcomes, focusing on personalized risk stratification and long-term, patient-defined outcomes. She has authored over 150 peer-reviewed papers and published in leading clinical journals including JAMA, JAMA Cardiology, JAMA Internal Medicine, Circulation, JACC, Diabetes Care, and Anesthesiology. Her research program has been well funded by the Canadian Institutes of Health Research (CIHR), the Heart and Stroke Foundation of Canada, and the Ontario Ministry of Health. -
Ruopeng (Robin) Sun
Physical Sci Res Scientist, Orthopaedic Surgery
BioDr. Sun is the research scientist at the Wearable Health Lab. He received his Ph.D. in Human Performance from Indiana University, MS in mechanical engineering from Stony Brook University. His research focused on using novel technology to study human movement as a function of aging, promote functional independence and enhance quality of life. He is particularly interested in investigating balance/locomotion control and risk of falling among ambulatory populations and translating novel research findings and technology into clinic/community-based settings to enhance healthy independent aging. His recent work utilized machine learning and augmented reality tools to enhance precise and efficient functional mobility assessment.
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Ryan R. Sun
Clinical Assistant Professor, Urology
BioDr. Sun is a board-certified, fellowship-trained urologist specializing in general urology and endourology. He is a clinical assistant professor of urology at Stanford University School of Medicine. He graduated with Cum Laud from the University of Washington and obtained his medical degree from the University of Toronto. After completing his urology residency at the University of Manitoba, Dr. Sun completed further fellowship training in Endourology at Stanford University School of Medicine.
Dr. Sun speaks fluent Mandarin and sees patients with a wide spectrum of general urologic diseases of the kidneys, bladder, prostate, and genitalia, with a special focus in complex kidney stone disease and minimally invasive surgery. He has received multiple research awards and authored numerous peer-reviewed publications regarding kidney stone disease, oncology, education, imaging, voiding dysfunction, and gene therapy.
In his academic role, Dr. Sun is committed to providing compassionate care and developing innovative treatments to advance minimally invasive surgical techniques. -
Tao Sun
Ph.D. Student in Civil and Environmental Engineering, admitted Autumn 2024
Current Research and Scholarly InterestsI develop geometric representations and generative models that help robots understand and act in the 3D world. My research spans point cloud registration, shape assembly, spatial reasoning, and compositional planning. I am particularly interested in world-action models that connect perception and prediction with robot planning and control.
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Vivien Kon-Ea Sun
Clinical Associate Professor, Pediatrics
BioVivien Sun is a pediatric hospitalist and Clinical Associate Professor within Stanford’s Division of Pediatric Hospital Medicine. She practices at California Pacific Medical Center and Stanford Healthcare Tri-Valley. Vivien’s interests include advocacy, medical education, and professional development.
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Wenfei Sun
Assistant Professor of Medicine (Endocrinology)
Current Research and Scholarly InterestsWe explore neural circuits regulating memory and systemic metabolism, integrating neuroscience and metabolic biology to tackle cognitive decline and metabolic disorders.
