Malte Hoffmann Discusses SynthMorph, an AI-based Tool for Faster, More Precise Image Registration
The tool will make it easier for researchers without the technical expertise to take advantage of AI.
AI Enables Faster, More Precise Image Registration for Medical Image Analysis
Malte Hoffmann, PhD, and colleagues have developed a new, AI-based approach to image registration that is more robust, accurate, and faster than existing methods.
Artificial Intelligence Improves Treatment Monitoring in Patients with Glioma
Researchers have introduced a deep learning algorithm that automatically measures tumor volume based on MR images.
Deep Learning Offers Quantitative Means of Monitoring Disease Progression in Retinopathy of Prematurity
Recent research also highlights the possibility of identifying infants at high risk for developing ROP.
Facilitating Integration of AI Into Radiology Practice
The Center’s QTIM lab collaborated with the American College of Radiology to create the ACR AI-LAB website.
Learning to See: New Artificial Intelligence Technique Dramatically Improves the Quality of Medical Imaging
The technique yields higher quality images from less data, reducing radiation doses for CT and PET and shortening scan times for MRI.