News

Emily Xie, UCSF ci2 Intern, Shares Her Experiences

Each summer, the UCSF Center for Intelligent Imaging (ci2) welcomes interns from high school, undergraduate and graduate school, chosen based on their background, a graded rubric and overall readiness. Meet Emily Xie – an intern who is participating in the program for the second year.

Introducing "MEDomics" – a Novel Approach to Refine Predictions and Prognosis in Cancer Patients

Olivier Morin, PhD, UCSF Ci2 member, leads the international MEDomics consortium, a project that has worked to create a secure, dynamic, continuously learning and expandable infrastructure, designed to constantly capture multimodal electronic health information, including imaging, across a large...

Building a Pipeline of Interest and Training in AI and Medicine: ci2's Education Pillar

The Education Pillar within UCSF's Center for Intelligent Imaging (ci2) works with aspiring and future scientists and physicians to mentor them and fully develop their interest in AI technology in medicine.

An End-to-End Deep Learning Model Rapidly Stratifies Knees into MRI-based Morphological Phenotypes

A team from the UCSF Ci2 set out to build an end-to-end deep learning model to rapidly stratify knees into MRI-based morphological phenotypes.

Applying Computational Tools to Neuroimaging Data to Further Understand the Brain's Structure-Function Relationship

How do functional brain networks emerge from the underlying wiring of the brain? This was a question asked by a team of investigators from the UCSF Center for Intelligent Imaging (Ci2) and UCSF Radiology.

AI Provides Expert-Level Prenatal Detection of CHD on Fetal Ultrasound

Recently, Dr. Rima Arnaout, her lab and key collaborators used machine learning to successfully screen for fetal heart defects in one of the most widely used diagnostic tests – the second-trimester ultrasound.

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

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

The Computational Core within UCSF's Center for Intelligent Imaging 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

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

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...