2 papers
cs.CR2025
Report of the Medical Image De-Identification (MIDI) Task Group -- Best Practices and Recommendations
David A. Clunie, Adam Flanders, Adam Taylor +16
This report addresses the technical aspects of de-identification of medical images of human subjects and biospecimens, such that re-identification risk of ethical, moral, and legal…
cs.CL2024
HOPPR Medical-Grade Platform for Medical Imaging AI
Kalina P. Slavkova, Melanie Traughber, Oliver Chen +5
Technological advances in artificial intelligence (AI) have enabled the development of large vision language models (LVLMs) that are trained on millions of paired image and text sa…