Radiology
Showing 1-20 of 36 Results
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Mausam Kalita
Physical Science Research Professional 2, Rad/Molecular Imaging Program at Stanford
Current Role at StanfordSenior Research Scientist: a) cold chemical synthesis— Synthesis of the 12C and 19F- HPLC standards and precursors for 11C- and 18F- labeling
b) Radiosynthesis— Introduction of 11C or 18F radioisotopes into small molecules to develop novel PET tracers, that can track activated myeloid cells in neurodegenerative disease, c) radiometal labeling— 64Cu and 89Zr labeling of monoclonal antibodies that target immune receptors, d) clinical translation— To follow FDA guidelines for translating preclinically validated tracers into humans in the cyclotron and radiochemistry facility (CRF) of the Stanford University -
Aya Kamaya, MD
Professor of Radiology (Body Imaging)
On Partial Leave from 03/02/2026 To 04/17/2026Current Research and Scholarly InterestsHepatobiliary imaging
Hepatocellular carcinoma
Urologic imaging
Gynecologic imaging
Thyroid imaging
Novel ultrasound technologies
Perfusion CT imaging of abdominal tumors -
Xiaojian Kang
Affiliate, Rad/Veterans Affairs
BioDr Kang received his PhD in Physics and MS in Computer Science from Indiana University Bloomington in September of 1998. Then he joined Diagnostic Imaging Science Center at University of Washington in Seattle for postdoctoral research.
In September of 2000, he worked as an MR Physicist in the Human Cognitive Neurophysiology Laboratory in Department of Neurology at University of Californian at Davis. His tasks were to maintain and modify the sequences for MR research on a 3 T Siemens Verio scanner and a 1.5 T Philips Eclipse scanner, and develop new procedures for MR data analysis, statistics and visualization. He has published 40+ papers to introduce the innovative methods for MR data analysis, which including the local landmark method, high-resolution space method, and cortical surface projection mapping method, and automated method to detect brain abnormalities. All of the methods have been applied successfully to the MR researches in the lab.
In September of 2017, he joined as an MR Physicist in Palo Alto Veterans Institute for Research (PAVIR) at VA Palo Alto and the Adamson Brain Stimulation Lab in the Department of Neurosurgery at Stanford University.His main tasks are to participate in the research projects using GE and Siemens MR scanners funded by Department of Veterans Affairs and Department of Defense, and administration of windows and linux servers for neuroimaging studies.
Professional Education
•PhD in Physics, Indiana University Bloomington (1998).
•MS in Computer Science, Indiana University Bloomington (1998).
•MS in Electronic Engineering, Xi’an Jiaotong University, P. R. China (1987).
•BS in Electronic Engineering, Xi’an Jiaotong University, P. R. China (1984). -
Kathryn (Katie) Kapp
Postdoctoral Scholar, Radiology
Current Research and Scholarly InterestsI am interested in using mass spectrometry to study protein glycosylation, a complex post-translational modification that is known to be heavily altered in cancer and could improve early cancer detection. I am using mass spectrometry to study protein glycosylation in a variety of clinical samples and cancers, but I am particularly interested in proximal fluid samples to develop more accessible ways to obtain clinical samples to study cancer and women's health.
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Andrew Kesselman
Clinical Associate Professor, Radiology
Current Research and Scholarly InterestsCurrently studying the role of interventional therapies in caval filtration, venous thromboembolism and primary and metastatic hepatic malignancies.
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Harold Keyserling
Clinical Associate Professor (Affiliated), Rad/Veterans Affairs
Neuroradiologist, Radiology - Diagnostic RadiologyBioHarold Keyserling, MD is a diagnostic radiologist with subspecialty certification in neuroradiology. In addition to his clinical work, Dr. Keyserling is actively engaged in resident education and is a consulting radiologist for the Centers for Disease Control and Prevention (CDC), Division of Global Migration Health.
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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. -
Johanna Kim
Executive Director, AIMI, Rad/Integrative Biomedical Imaging Informatics at Stanford
BioJohanna specializes in launching and leading world-class research programs. At Stanford AIMI, she plays a pivotal role in the development and design of all programs, particularly focusing on research and education programs, funding opportunities, and major events. Her leadership extends to shaping partnership programs, fundraising, and enhancing AIMI's outreach strategies. Skilled in building strong teams and fostering interdisciplinary collaborations, Johanna adeptly navigates the complexities of the academic and healthcare sectors. Her strategic support has been invaluable in advancing technology development, securing substantial research funding, and elevating the impact of publications. Johanna’s 20-year career is marked by her commitment to transforming healthcare through innovative technology.
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Yo Sup Kim
Clinical Scholar, Radiology
Fellow in Rad/Musculoskeletal ImagingBioI completed both my diagnostic radiology residency at Indiana University School of Medicine and my MBA at the Kelley School of Business Indiana University on June 2025. I am currently pursuing my fellowship in Musculoskeletal Radiology at Stanford. My healthcare-related interests and research primarily involve applying real world business practices in radiology for optimal efficiency and maximizing value (e.g. using linear regression analysis to finding variables that impact volume of CT studies at the ER). Outside of healthcare, I have entrepreneurial interests particularly in the area of venture capitalism for tech and service companies. Prior to medical school, I ran my family's floral bouquet company in California.
