Stanford University
Showing 331-340 of 747 Results
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Daniel Kim
Clinical Associate Professor, Psychiatry and Behavioral Sciences
BioDr. Daniel Kim is a board-certified geriatric psychiatrist who serves as medical director of the inpatient geriatric psychiatry service and program director of the geriatric psychiatry fellowship. His primary area of interest is in the education of medical students, residents, and fellows in geriatric psychiatry.
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Donghee Kim, MD, PhD
Social Science Research Scholar, Medicine - Med/Gastroenterology and Hepatology
BioI am a physician with specialized training in gastroenterology and hepatology. My research primarily focuses on clinical research into metabolic dysfunction-associated steatotic liver disease (MASLD), chronic liver diseases, and obesity-related gastrointestinal diseases, with a population-based study. In addition, my research has expanded to encompass cardiology, endocrinology, neurology, and psychiatry. I have extensive experience in large epidemiologic cohort studies as well as clinical trials. This work has resulted in over 300 published papers in prominent journals, including Gastroenterology, Journal of Hepatology, Gut, Hepatology, and Clinical Gastroenterology and Hepatology, with the author serving as first or corresponding author. These publications have been cited more than 22000 times with an H-index of 73.
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Donghoon Kim
Postdoctoral Scholar, Radiology
BioDr. Donghoon Kim is a postdoctoral scholar at Stanford’s Center for Advanced Functional Neuroimaging (CAFN), working in close collaboration with the Stanford Alzheimer’s Disease Research Center (ADRC). His work develops cutting-edge deep learning approaches for multimodal neuroimaging analysis, with an emphasis on the early detection and characterization of Alzheimer’s disease pathology.
Before joining Stanford, he earned his Ph.D. in Biomedical Engineering from the University of California, Davis. His Ph.D. thesis was titled "Deep Learning-Driven Technical Developments and Clinical Applications of Arterial Spin Labeling MRI." During his Ph.D. studies, he focused on the development of advanced deep learning techniques for ASL MRI and its clinical applications. During his master's degree in Biomedical Engineering at Virginia Tech–Wake Forest University, he studied the functional connectivity of the default mode network using resting-state BOLD fMRI among youth football players.
