UCSF Center for Intelligent Imaging

The Center for Intelligent Imaging (Ci2) is focused on applications of artificial intelligence and image analysis tools in medical imaging. @UCSFImaging

[UCSF Center for Intelligent Imaging @UCSF_Ci2]

Meningiomas grow slowly, making subtle changes easy to miss. @UCSF_Ci2's Pierre Nedelec & Dr. @DrDreMDPhD built a "one-click" AI tool for 3D volumetric tumor tracking across time. Radiologists can now see growth trends immediately after MRI export. https://t.co/RbkqOYw7Bv

[UCSF Center for Intelligent Imaging @UCSF_Ci2]

Bunkerhill Health is building foundation models for radiology, & two of the people behind that work are joining us to share what they've learned. Join us for the upcoming SRG Pillar Meeting to hear more from Abhijeet Shenoi & George Hu. https://t.co/eIJPjwjpW4

[UCSF Imaging @UCSFimaging]

This afternoon at #SNMMI26, @UCSFimaging & @UCSF_Ci2's Dr. Anil Bidkar (@anilbidkar1) will present on Mars Shot Mission Updates & scientific successes during the PCF Young Investigator Award session. @SNM_MI

[UCSF Imaging @UCSFimaging]

Prostate cancer spreads in complex ways: visceral, skeletal & nodal. Finishing day 1 of #SNMMI26 with @UCSFimaging & @UCSF_Ci2's Dr. @anilbidkar1 presenting research on optimizing preclinical models of metastatic prostate cancer & validating with CD46-targeted ImmunoPET. @SNM_MI

[UCSF Center for Intelligent Imaging @UCSF_Ci2]

If you're curious about what it actually takes to build & deploy foundation models in radiology, join us for the upcoming SRG Pillar meeting. Abhijeet Shenoi & George Hu from Bunkerhill Health will talk through that process on June 8. https://t.co/eIJPjwjpW4

[UCSF Bakar Computational Health Sciences Institute @UCSF_BCHSI]

Check out @RajLab_UCSF et al latest paper in @NatureAging! "Predicting categorical and continuous Alzheimer’s disease outcomes from a single MRI scan" Read UCSF News coverage here w/ link to article! https://t.co/vd07DZT5Zh @UCSF_Ci2

[UCSF Center for Intelligent Imaging @UCSF_Ci2]

No public dataset previously existed for researchers building computational models around primary CNS lymphoma. #RadRes Michael Romano introduced the first at April's SRG Pillar Meeting. https://t.co/W06mURwWjO

[UCSF Center for Intelligent Imaging @UCSF_Ci2]

Faster, smarter MRSI reconstruction ➡️ @UCSF_Ci2's Dr. Janine Lupo presents a multi-domain #DeepLearning approach with metabolite-aware loss this afternoon at #ISMRM2026. Find it in the Deep Learning Meets k-Space poster session. @ISMRM https://t.co/VxA3lKv2LN

[UCSF Center for Intelligent Imaging @UCSF_Ci2]

Starting off this morning at #ISMRM2026 with @UCSF_Ci2's David Mikhael is presenting on network states linked to the therapeutic efficacy of deep brain stimulation for OCD. @ISMRM https://t.co/VxA3lKv2LN

[UCSF Center for Intelligent Imaging @UCSF_Ci2]

Which fetuses with ventriculomegaly will need surgical intervention after birth? A new @UCSF_Ci2 study used #DeepLearning to answer that question with an AUC of 0.97. https://t.co/GnFZ6uc0Tn

[UCSF Center for Intelligent Imaging @UCSF_Ci2]

This morning at #ISMRM2026, former @UCSF_Ci2 #postdoc Rupsa Bhattacharjee (@Rupsa_B) presents on the basic principles of quantitative MSK MRI. https://t.co/VxA3lKv2LN @ISMRM

[UCSF Center for Intelligent Imaging @UCSF_Ci2]

96.4% of patients surveyed said including simplified radiology reports alongside originals would be beneficial. #RadRes @yannan_yu presented her research on multilingual, patient-friendly reports at the recent @UCSF_CI2 SRG Pillar Meeting. https://t.co/W06mURwWjO

[UCSF Center for Intelligent Imaging @UCSF_Ci2]

Fetal ventriculomegaly is common & usually benign, but some cases progress to hydrocephalus. A new #DeepLearning method from @UCSF_Ci2 predicts the need for postnatal intervention with 86% sensitivity & 100% specificity. https://t.co/GnFZ6uc0Tn

[UCSF Center for Intelligent Imaging @UCSF_Ci2]

#RadRes @yannan_yu & Michael Romano presented research at the recent @UCSF_Ci2's recent SRG Pillar Meeting on multilingual patient-friendly radiology reports & a first-of-its-kind CNS lymphoma dataset. Read more: https://t.co/W06mURwWjO

[UCSF Center for Intelligent Imaging @UCSF_Ci2]

New Blog Post ➡️ "New Deep Learning Approach Predicts Need for Postnatal Intervention in Fetal Ventriculomegaly." https://t.co/GnFZ6uc0Tn

[UCSF Center for Intelligent Imaging @UCSF_Ci2]

Radiology reports should work for patients regardless of language. During our next SRG Pillar meeting, #RadRes @yannan_yu presents on multilingual patient-friendly reports using LLMs. #RadRes Michael Romano on the UCSF PCNSL imaging & genomics resource. https://t.co/CQ2wjNzOj0

[UCSF Center for Intelligent Imaging @UCSF_Ci2]

Members of @UCSF_Ci2 were featured in @RadiologyToday for their work on the UCSF-GE HealthCare Care Innovation Hub, including Drs. Sharmila Majumdar (@sharmilamajumda), Andreas Rauschecker (@DrDreMDPhD), Peder Larson & Duan Xu. https://t.co/85djHmcvYS

[UCSF Center for Intelligent Imaging @UCSF_Ci2]

Join us April 13 for the 2026 Frontiers in Computational Precision Health Conference. @UCSF_Ci2's Drs. Maggie Chung (@MaggieChungMD) & Adam Yala will be among the panelists tackling the hard questions about health AI.

[UCSF Center for Intelligent Imaging @UCSF_Ci2]

Join us April 13 for the next @UCSF_Ci2 SRG Pillar meeting. Two talks from @UCSFimaging #RadRes: @yannan_yu on using #LLMs for multilingual patient-friendly radiology reports & Michael Romano on the UCSF PCNSL imaging & genomics resource. https://t.co/CQ2wjNzOj0

[UCSF Center for Intelligent Imaging @UCSF_Ci2]

Can #AI help predict which fetuses with ventriculomegaly will need postnatal intervention? Research from @UCSF_Ci2's Dr. Andreas Rauschecker (@DrDreMDPhD) & colleages introduces a #DeepLearning method for fetal brain MRI that shows strong results. https://t.co/zdBxxgJRmn @TheAJNR