Using 3D Fully Convolutional Neural Networks to Simulate Post-Contrast MRI of Glioblastomas and Lower-Grade Gliomas

By Evan Calabrese, MD, PhD on June 03, 2021
A team of investigators from UCSF Radiology and the UCSF Center for Intelligent Imaging (ci2) sought to simulate diagnostic quality contrast-enhanced MRI using only non-contrast MRI sequences. Evan Calabrese, MD, PhD, radiology resident, was corresponding author on this study.

A Team Approach to Data Science: ci2’s Computational Core

By Jason Crane, PhD on May 21, 2021
The Computational Core within UCSF's Center for Intelligent Imaging (ci2) creates data science resources and enables AI-based research and development to improve health care. Get to know the people, the projects and key collaborators.

Valentina Pedoia, PhD Awarded an NIH Grant to Study Fast Knee MRI with Deep Learning

By Valentina Pedoia, PhD on April 09, 2021
The National Institutes of Health (NIH) awarded a five-year R01 grant to Valentina Pedoia, PhD, principal investigator and imaging scientist at the UCSF Center for Intelligent Imaging (ci2) for “Ultra-Fast Knee MRI with Deep Learning” to improve the study of joint degeneration, injury and...

A Novel Radiology-Specific Word Embedding to Help Radiological AI Researchers Conduct NLP Projects

By Jae Sohn, MD, MS on March 17, 2021
A team of investigators at the UCSF Center for Intelligent Imaging (ci2) examined the potential of Radiopaedia to serve as a general radiology corpus to produce radiology specific word embeddings that could be used to enhance performance on an natural language processing (NLP) task on radiological...

Building and Evaluating an AI System for Brain MR Imaging

By Andreas Rauschecker, MD, PhD on March 11, 2021
Up until recently, AI had not been used to create differential diagnoses at brain MRI. Andreas Rauschecker, MD, PhD’s recent research focuses on identifying lesions, characterizing those lesions, and building a differential diagnosis from this information.