Emily Xie, UCSF ci2 Intern, Shares Her Experiences

By Emily, Xie on August 02, 2021
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

By Olivier Morin, PhD on July 26, 2021
Olivier Morin, PhD, UCSF ci2 member, leads the international MEDomics consortium, working to create a secure, dynamic, continuously learning and expandable infrastructure, designed to constantly capture multimodal electronic health information, including imaging.

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

By Valentina Pedoia, PhD on July 16, 2021
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

By Nikan Namiri on July 02, 2021
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

By Pablo Damasceno, PhD on June 15, 2021
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

By Rima Arnaout, MD on June 08, 2021
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

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...