Stanford University
Showing 561-570 of 669 Results
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Amy Thomas
Visual Designer, Rad/Radiology Finance and Administration
BioI'm a passionate designer with 19 years of experience in interface, print, and web design. I love to make things look, work, and act more efficiently. Some might call it compulsion...I like to call it passion. My mind and heart are always open to challenging design problems. I thrive on finding innovative solutions to complex situations.
I started my professional career as a Visual Designer at IBM for the Storage Systems Group. My work at IBM involved close interaction with our user experience designers. The team I was on developed a software interface to help facilitate storage administrators in monitoring their storage subsystems. We created an interface that allowed the admin to see storage system status at a glance using a drill down table as well as custom built icons. The work our team completed earned several US Patents.
In March 2008, I began my career at Stanford University School of Medicine. I started as a Temporary Visual Arts Specialist. In November 2010 I was hired on full time as the Web & Graphic Designer for the Department of Radiology. My work at Stanford is very gratifying. I never expected, as an artist, to have my work matter in a way that could help other people. With each new project, I am (in a small way) contributing to the research and development of new and innovative treatments for many of the most damaging diseases. My art helps the great minds of our department explain their thinking, their research, and their findings to others in their field. -
Thodsawit Tiyarattanachai
Affiliate, Rad/Body Imaging
BioI pursue my career path as a physician-scientist in the field of Radiology and Biomedical Data Science. My focus is translational research aiming to develop clinically relevant AI systems. I have conducted research on artificial intelligence (AI) system to improve ultrasound surveillance for hepatocellular carcinoma (HCC), deep learning models for the assessment of hepatic steatosis, Liver Imaging Reporting and Data System (LI-RADS) for B-mode and contrast-enhanced ultrasound, as well as AI techniques for quantitative analysis of such imaging modalities.
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Matheus Tonholo Ikedo
Postdoctoral Scholar, Radiology
BioMatheus Tonholo Ikedo is a Postdoctoral Research Fellow at Stanford University’s Department of Radiology, where he conducts research under the guidance of Dr. Bruno P. Soares. His academic interests lie at the intersection of pediatric neuroradiology and artificial intelligence, specifically focusing on how AI-driven tools can optimize magnetic resonance imaging (MRI) diagnostics and improve healthcare delivery for neuropediatric patients.
A Brazilian-trained physician, Matheus earned his medical degree from the Federal University of São Paulo (UNIFESP) and completed his Radiology residency at the University of São Paulo (USP), where he was recognized with the Guerbet-InRad Best Resident Award in his final year.
