UCSF Center for Intelligent Imaging
@UCSF_Ci2
The Center for Intelligent Imaging (Ci2) is focused on applications of artificial intelligence and image analysis tools in medical imaging. @UCSFImaging
New on the @UCSF_Ci2 blog: "UCSF Ci2 Advances Alzheimer's Disease Research" Visit intelligentimaging.ucsf.edu/news/ucsf-ci2-… to read how Dr. Ashish Raj studied the cellular underpinnings of the selective vulnerability to tauopathic insults in #AlzheimersDisease.
Dr. Ashish Raj, of @UCSF_Ci2, & collaborators deployed a cell-type mapping pipeline to identify general principles of cell-type-based selective vulnerability of Alzheimer's disease in rats. nature.com/articles/s4200… #AlzheimersAndBrainAwarenessMonth
The Rauschecker-Sugrue Lab (@DrDreMDPhD) invites two visiting scholars from @Polytechnique! Join us in welcoming Yassine Guennoun & Rodrigue Reibel this summer! 👋 bit.ly/40xQtp5
"The goal is not a robot radiologist," said @PennRadiology's Dr. Tessa Cook (@asset25). "It's a #radiologist whose clinical expertise is complemented by #AI to enable better patient care." Read about her recent @UCSF_Ci2 SRG Pillar Meeting. 👇 bit.ly/45h9UFi
❗Attention @UCSF_Ci2 members. Abstracts for the 2025 SIIM Conference on #AI in #MedicalImaging are due July 24! Receive feedback on your work, network in a multidisciplinary community & see your research published in the Journal of Imaging Informatics in Medicine Supplement.
Don't miss this year's @UCSFimaging Summer Student Symposium! @UCSF_Ci2 & the RIDR program will present in the Genentech Hall Auditorium. Zoom will be available for those who can't attend in person. See you there!
Don't miss it — Dr. Tessa Cook, Associate Professor of Radiology at @Penn, presents today at @UCSF_Ci2! 🕒 3-4 p.m. 📍China Basin CBL Conference Lg 342 or Zoom:: ucsf.zoom.us/j/91277165228?…
.@Penn radiology professor Dr. Tessa Cook's talk, "Solving for X: Identifying Clinically Relevant Problems in Medical Imaging," will be on July 14. Join us in the China Basin CBL Conference Lg 342 or via Zoom: ucsf.zoom.us/j/91277165228?…
On July 14, @UCSF_Ci2 welcomes @Penn's Dr. Tessa Cook for a discussion on #MedicalImaging. See you there! ucsf.zoom.us/j/91277165228?…
A @UCSF_Ci2 project led by Beck Olson shows how large language models can simplify complex structured health data without compromising privacy. Using local SQL queries & natural language, users gain secure, transparent insights from sources like ADNI. intelligentimaging.ucsf.edu/news/structure…
A new @UCSF_Ci2 groundbreaking dataset, spearheaded by Dr. Jeff Rudie, is available! The data is publicly accessible for researchers to utilize in pushing the boundaries of #AI applications for brain metastases. To access the complete dataset, visit imagingdatasets.ucsf.edu/dataset/1.
.@UCSF_Ci2 is advancing Alzheimer's Disease research during #AlzheimersAwarenenessMonth. The research "has given credence to the idea that regional susceptibility may depend on its cell-type composition." intelligentimaging.ucsf.edu/news/ucsf-ci2-…
Research published in @alzassociation by @UCSF_Ci2's Dr. Ashish Raj & collaborators found there was a "nontrivial association between directionality bias & tau aggressiveness." #AlzheimersAwarenessMonth doi.org/10.1002/alz.70…
New Blog Post: Structured Data Meets Large Language Models (LLMs) ➡️ intelligentimaging.ucsf.edu/news/structure…
A new study from @UCSFimaging & @UCSF_Ci2's Dr. Andreas Rauschecker (@DrDreMDPhD) & @KECKSchool_USC tests five models using RAG. Only GPT-4 & Command R+ improved, demonstrating the importance of domain adaptation. Read more in @Radiology_AI: doi.org/10.1148/ryai.2…
.@UCSF_Ci2 authors, including Dr. Jeff Rudie, developed one of the most extensive & comprehensively annotated publicly available datasets for post-treatment #gliomas. imagingdatasets.ucsf.edu/dataset/2
A new study in @sciencedirect compares mathematical reaction-diffusion models "to identify which interactions were key to model success." For #AlzheimersAwarenessMonth, read how @UCSF_Ci2's Dr. Ashish Raj studied the progression of #AD. sciencedirect.com/science/articl…
Visit bit.ly/4mAmbv9 to learn how researchers, including @UCSF_Ci2's contributors, tested if a probabilistic brain metastasis #AI risk model could reduce the cognitive side effects of radiation therapy. 🧠
.@UCSF_Ci2's Dr. Jeff Rudie's dataset is publicly available! The multimodal brain MRI dataset, consisting of 560 MRIs of brain metastases, also includes patient demographics, surgical status & primary cancer types. Access it now ➡️ imagingdatasets.ucsf.edu/dataset/1
It's that time of year again! Meet the summer interns at @UCSF_Ci2 who will work on using #ArtificialIntelligence to improve clinic notes, radiological communication & better predict patient outcomes. Say hi to Harsh, Koharu & Anoushka! intelligentimaging.ucsf.edu/news/meet-our-…
