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UCSF Center for Intelligent Imaging

@ucsfci2.bsky.social
19 followers 5 following 198 posts

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

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UCSF Center for Intelligent Imaging @ucsfci2.bsky.social · 22h
Join us today from 3–4 pm for our next SRG Pillar Meeting! Nikhil Deveshwar, Postdoctoral Scholar in the Larson lab, will present "Deep Generative and Hardware Accelerated MRI." intelligentimaging.ucsf.edu/events/deep-...
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UCSF Center for Intelligent Imaging @ucsfci2.bsky.social · 23h
New narrative review from @ucsfci2.bsky.social's Dr. Sharmila Majumdar & postdoc Dr. Katharina Ziegeler examine how AI can opportunistically assess bone mineral density & bone microarchitecture from routinely acquired imaging across radiography, CT & MRI. doi.org/10.1007/s002...
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UCSF Center for Intelligent Imaging @ucsfci2.bsky.social · 09/10/2026
A new comparative study led by @ucsfci2.bsky.social's Dr. Alexandra Gersing found that deep learning-based denoising of low-field 0.55T knee MRI improved diagnostic accuracy from 0.83 to 0.98, achieving results comparable to conventional 3T. www.doi.org/10.1016/j.ej...
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UCSF Center for Intelligent Imaging @ucsfci2.bsky.social · 08/10/2026
A new study in #npjDigitalMed by @ucsfci2.bsky.social's @drdremdphd.bsky.social presents a #DeepLearning framework that generates uncertainty estimates for meningioma segmentation on brain MRI, supporting safer clinical AI deployment. bit.ly/47sqBOf
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Can Uncertainty Scores Help Experts Trust AI Brain Tumor Analysis?
MRIs are among the most accurate imaging tests used to diagnose brain tumors, and ​MRI-based monitoring of tumors ​​guides​​​​ critical treatment decisions. The clinical standard for measuring tumors…
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UCSF Center for Intelligent Imaging @ucsfci2.bsky.social · 24/09/2026
Finding a deep pediatric brain tumor's subtype usually means a biopsy. Emma Duprat tested whether AI uncertainty could flag it noninvasively. Louan Bardou tackled detecting white matter lesions in adolescents without FLAIR. Learn more about their research: bit.ly/4719oeC
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UCSF Center for Intelligent Imaging @ucsfci2.bsky.social · 23/09/2026
Meet the #postdoc making sense of breast cancer MRIs from more than 30 sites. Pouya Metanat studies how scanner & software variability affects the reading of treatment response, so care can be personalized. Happy #PostdocAppreciationWeek! #UCSFProud
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UCSF Center for Intelligent Imaging @ucsfci2.bsky.social · 22/09/2026
We're recognizing Atlas Haddadi Avval this #PostdocAppreciationWeek. Her research uses #AI to compare a patient's MRI scans over time & quantify how a pediatric brain tumor is changing. The aim is a more objective, reproducible way to track disease & inform treatment. #UCSFProud
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UCSF Center for Intelligent Imaging @ucsfci2.bsky.social · 16/09/2026
Most tools that segment white matter lesions rely on FLAIR imaging. Louan Bardou reached comparable accuracy without it. Emma Duprat used AI segmentation uncertainty to read pediatric brain tumor subtypes. Learn more: bit.ly/4719oeC
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UCSF Center for Intelligent Imaging @ucsfci2.bsky.social · 27/08/2026
Building tools to read prostate MRIs takes data with reliable answers attached. @ucsfci2.bsky.social's UCSF-ProstateMR dataset pairs 973 prostate scans with the biopsy results that show what was truly there, giving researchers a solid basis to test their work. bit.ly/4zvkp5d
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UCSF Center for Intelligent Imaging @ucsfci2.bsky.social · 26/08/2026
Could disk imaging help target back pain treatment? In @jorspine.bsky.social, @ucsfci2.bsky.social's Dr. @sharmilamajumdar.bsky.social & colleagues show quantitative disk hydration markers add information beyond standard grading for the disk-endplate unit. doi.org/10.1002/jsp2...
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UCSF Center for Intelligent Imaging @ucsfci2.bsky.social · 21/08/2026
Primary CNS lymphoma is a rare brain cancer that is easily mistaken for other conditions, which delays care. @ucsfci2.bsky.social has released the first public imaging dataset for it, covering 150 patients, to help researchers build better tools to spot it. imagingdatasets.ucsf.edu/dataset/4
imagingdatasets.ucsf.edu
https://imagingdatasets.ucsf.edu/dataset/4
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UCSF Center for Intelligent Imaging @ucsfci2.bsky.social · 19/08/2026
Not every kidney tumor is dangerous, but telling risky ones apart often means surgery or biopsy. @ucsfci2.bsky.social's UCSF RMaC dataset offers 831 CT scans of kidney masses, each linked to its surgical result, to help build tools that gauge risk from imaging alone. bit.ly/4wU5mjw
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https://bit.ly/4wU5mjw
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UCSF Center for Intelligent Imaging @ucsfci2.bsky.social · 17/08/2026
New in @jorspine.bsky.social, @ucsfci2.bsky.social's Dr. @sharmilamajumdar.bsky.social & colleagues used hybrid PET-MRI in low back pain, pairing disk hydration with bone turnover on PET. The two rose together, a sign of biological disk-endplate crosstalk over mechanical load. bit.ly/4ziOJQq
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UCSF Center for Intelligent Imaging @ucsfci2.bsky.social · 14/08/2026
After brain tumor treatment, telling ordinary change from regrowth is hard. @ucsfci2.bsky.social's UCSF-ALPTDG dataset helps researchers study it, using labeled MRIs from 298 glioma patients scanned at two points in time. One of the largest of its kind, free to use. bit.ly/3UstXNX
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UCSF Center for Intelligent Imaging @ucsfci2.bsky.social · 13/08/2026
Brain metastases are tumors that have spread to the brain, & teaching #AI to find them takes carefully labeled scans. That is what @ucsfci2.bsky.social's UCSF-BMSR dataset offers, 560 brain MRIs with more than 5,100 metastases marked by experts. Free for research. bit.ly/4wrZtJB
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UCSF Center for Intelligent Imaging @ucsfci2.bsky.social · 12/08/2026
Join us this Monday for our next SRG Pillar Meeting. Two visiting graduates from UCSF Radiology's Rauschecker-Sugrue Lab, Emma Duprat & Louan Bardou, will share their work using AI to study a pediatric brain tumor & to map white matter. More info: bit.ly/4zfTKJj
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UCSF Center for Intelligent Imaging @ucsfci2.bsky.social · 30/07/2026
New research from @ucsfci2.bsky.social fine-tunes foundation segmentation models across five musculoskeletal anatomies, with 83% of scores reaching a Dice coefficient of 0.90 or above. Check it out ➡️ bit.ly/4fENWRM
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UCSF Center for Intelligent Imaging @ucsfci2.bsky.social · 28/07/2026
A text-only AI alert can prompt more scrutiny than an annotated thumbnail. In a new review, @ucsfci2.bsky.social's @alitejanimd.bsky.social, @shadowdoc.bsky.social, @drdremdphd.bsky.social, @monganmd.bsky.social & collaborators examine how presentation shapes automation bias. bit.ly/4fgrbT1
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UCSF Center for Intelligent Imaging @ucsfci2.bsky.social · 22/07/2026
Generating quantitative biomarkers from MRI typically requires experts to manually delineate structures across hundreds of slices. @ucsfci2.bsky.social researchers published a new approach in npj Digital Medicine that automates that process across five anatomies. bit.ly/4fENWRM
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UCSF Center for Intelligent Imaging @ucsfci2.bsky.social · 20/07/2026
3 DICOM formats carry AI results to radiologists, from static overlays to editable structured reports. @ucsfci2.bsky.social's @alitejanimd.bsky.social, @shadowdoc.bsky.social, @drdremdphd.bsky.social, @monganmd.bsky.social & collaborators break down what each format allows. bit.ly/4fgrbT1
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UCSF Center for Intelligent Imaging @ucsfci2.bsky.social · 15/07/2026
Imaging volume is growing. Radiologist shortages are worsening. Bunkerhill Health shared with @ucsfci2.bsky.social what they've learned building foundation models for chest X-ray & body CT. intelligentimaging.ucsf.edu/news/what-la...
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UCSF Center for Intelligent Imaging @ucsfci2.bsky.social · 02/07/2026
Scaling radiology #AI is harder than it looks. At the recent @ucsfci2.bsky.social SRG Pillar Meeting, Bunkerhill Health's Abhijeet Shenoi & George Hu broke down what works, what doesn't, & what comes next for radiology foundation models. bit.ly/4xY1S0z
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UCSF Center for Intelligent Imaging @ucsfci2.bsky.social · 30/06/2026
Congratulations to @ucsfci2.bsky.social's Dr. Alexandra Gersing on receiving a 2026 RSNA Research & Education Foundation Research Seed grant for AI-enabled MR muscle biomarker research exploring the role of muscle in low back pain.
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UCSF Center for Intelligent Imaging @ucsfci2.bsky.social · 25/06/2026
New research in Radiology: Imaging Cancer highlights how AI as a second reader improved mammography sensitivity by 8.4%, catching more interval and future cancers. @ucsfci2.bsky.social's Dr. Maggie Chung breaks down the findings: doi.org/10.1148/ryca...
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UCSF Center for Intelligent Imaging @ucsfci2.bsky.social · 25/06/2026
In a new #AJR video features @ucsfci2.bsky.social's #ClinicalFellow Ali Tejani & #NYUGrossman's Dr. Marc Triola discuss ethical #AI integration in medical education, AI literacy & building curricula that can keep pace with rapid change. doi.org/10.2214/AJR....
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UCSF Center for Intelligent Imaging @ucsfci2.bsky.social · 18/06/2026
What predicts poor cardiac MRI quality before imaging begins? @ucsfci2.bsky.social's Dr. Jae Ho Sohn & collaborators found two independent factors: cognitive/communication impairment & respiratory compromise. onlinelibrary.wiley.com/doi/10.1002/...
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UCSF Center for Intelligent Imaging @ucsfci2.bsky.social · 17/06/2026
Current meningioma measurement relies on 2D slices & manual diameter checks. @ucsfci2.bsky.social's Pierre Nedelec & Dr. @drdremdphd.bsky.social developed a volumetric #AI tool that tracks tumor changes longitudinally, with confidence intervals built in. bit.ly/4f32JWC
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UCSF Center for Intelligent Imaging @ucsfci2.bsky.social · 10/06/2026
Poor cardiac MRI quality means repeat scans & delayed decisions. @ucsfci2.bsky.social's Dr. Jae Ho Sohn & collaborators used an LLM to identify pre-imaging factors linked to poor image quality: cognitive/communication impairment & respiratory compromise. bit.ly/4aiI9hJ
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UCSF Center for Intelligent Imaging @ucsfci2.bsky.social · 09/06/2026
Meningiomas grow slowly, making subtle changes easy to miss. @ucsfci2.bsky.social's Pierre Nedelec & Dr. @drdremdphd.bsky.social built a "one-click" AI tool for 3D volumetric tumor tracking across time. Radiologists can now see growth trends immediately after MRI export. bit.ly/4f32JWC
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UCSF Center for Intelligent Imaging @ucsfci2.bsky.social · 04/06/2026
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. bit.ly/4tM79EZ
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UCSF Center for Intelligent Imaging @ucsfci2.bsky.social · 27/05/2026
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. bit.ly/4tM79EZ
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UCSF Center for Intelligent Imaging @ucsfci2.bsky.social · 13/05/2026
Faster, smarter MRSI reconstruction ➡️ @ucsfci2.bsky.social'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.bsky.social bit.ly/3QGOfBP
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UCSF Center for Intelligent Imaging @ucsfci2.bsky.social · 13/05/2026
Starting off this morning at #ISMRM2026 with @ucsfci2.bsky.social's David Mikhael is presenting on network states linked to the therapeutic efficacy of deep brain stimulation for OCD. @ismrm.bsky.social radiology.ucsf.edu/research/ismrm
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UCSF Center for Intelligent Imaging @ucsfci2.bsky.social · 12/05/2026
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.
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UCSF Residents Present Research on Multilingual Patient-Friendly Radiology Reports and a First-of-Its-Kind CNS Lymphoma Dataset
UCSF radiology residents Yannan Yu, MD, and Michael Romano, MD, PhD, presented during the recent UCSF ci2 SRG Pillar Meeting. Yu presented her research on using large language models (LLMs) to…
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UCSF Center for Intelligent Imaging @ucsfci2.bsky.social · 11/05/2026
This morning at #ISMRM2026, former @UCSF_Ci2 #postdoc Rupsa Bhattacharjee (@Rupsa_B) presents on the basic principles of quantitative MSK MRI. radiology.ucsf.edu/research/ismrm @ISMRM
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UCSF Center for Intelligent Imaging @ucsfci2.bsky.social · 09/05/2026
Fetal ventriculomegaly is common & usually benign, but some cases progress to hydrocephalus. A new #DeepLearning method from @ucsfci2.bsky.social predicts the need for postnatal intervention with 86% sensitivity & 100% specificity.
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New Deep Learning Approach Predicts Need for Postnatal Intervention in Fetal Ventriculomegaly
A team of researchers from the University of California, San Francisco's Department of Radiology and Biomedical Imaging and Center for Intelligent Imaging (ci2) developed a deep learning method for…
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UCSF Center for Intelligent Imaging @ucsfci2.bsky.social · 06/05/2026
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 @ucsfci2.bsky.social SRG Pillar Meeting.
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UCSF Residents Present Research on Multilingual Patient-Friendly Radiology Reports and a First-of-Its-Kind CNS Lymphoma Dataset
UCSF radiology residents Yannan Yu, MD, and Michael Romano, MD, PhD, presented during the recent UCSF ci2 SRG Pillar Meeting. Yu presented her research on using large language models (LLMs) to…
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UCSF Center for Intelligent Imaging @ucsfci2.bsky.social · 30/04/2026
#RadRes Yannan Yu & Michael Romano presented research at the recent @ucsfci2.bsky.social's recent SRG Pillar Meeting on multilingual patient-friendly radiology reports & a first-of-its-kind CNS lymphoma dataset. Read more: bit.ly/4el9geX
Two individuals are shown side by side. The person on the left has long dark hair and wears glasses, smiling against a light background. The person on the right has short hair and wears a suit with a red and white tie, smiling against a blurred green background. Bottom left corner has the logo and text: "ci^2 Center for Intelligent Imaging.
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UCSF Center for Intelligent Imaging @ucsfci2.bsky.social · 29/04/2026
Which fetuses with ventriculomegaly will need surgical intervention after birth? A new @ucsfci2.bsky.social study used #DeepLearning to answer that question with an AUC of 0.97. bit.ly/4dI5n3r
Brain scans with graphical explanation.
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UCSF Center for Intelligent Imaging @ucsfci2.bsky.social · 21/04/2026
New Blog Post ➡️ "New Deep Learning Approach Predicts Need for Postnatal Intervention in Fetal Ventriculomegaly."
intelligentimaging.ucsf.edu
New Deep Learning Approach Predicts Need for Postnatal Intervention in Fetal Ventriculomegaly
A team of researchers from the University of California, San Francisco's Department of Radiology and Biomedical Imaging and Center for Intelligent Imaging (ci2) developed a deep learning method for…
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UCSF Center for Intelligent Imaging @ucsfci2.bsky.social · 08/04/2026
Radiology reports should work for all 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.
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SRG Pillar Meeting with Yannan Yu and Michael Romano | intelligent imaging
Meeting Details Zoom Details: Meeting ID: 922 7067 8528 Password: 845445
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UCSF Center for Intelligent Imaging @ucsfci2.bsky.social · 07/04/2026
Can #AI help predict which fetuses with ventriculomegaly will need postnatal intervention? Research from @ucsfci2.bsky.social's Dr. @drdremdphd.bsky.social & colleages introduces a #DeepLearning method for fetal brain MRI that shows strong results. www.ajnr.org/content/47/3...
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UCSF Center for Intelligent Imaging @ucsfci2.bsky.social · 03/04/2026
Join us April 13 for the next @ucsfci2.bsky.social Pillar meeting. Two talks from @ucsfimaging.bsky.social #RadRes: Yannan Yu on using #LLMs for multilingual patient-friendly radiology reports & Michael Romano on the UCSF PCNSL imaging & genomics resource. bit.ly/3Qig4Qo
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UCSF Center for Intelligent Imaging @ucsfci2.bsky.social · 02/04/2026
Members of @ucsfci2.bsky.social were featured in #RadiologyToday for their work on the UCSF-GE HealthCare Care Innovation Hub, including Drs. Sharmila Majumdar, Andreas Rauschecker, Peder Larson & Duan Xu. www.radiologytoday.net/archive/rt_M...
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UCSF Center for Intelligent Imaging @ucsfci2.bsky.social · 01/04/2026
Join us April 13 for the 2026 Frontiers in Computational Precision Health Conference. @ucsfci2.bsky.social's Drs. Maggie Chung & Adam Yala will be among the panelists tackling the hard questions about health AI.
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UCSF Center for Intelligent Imaging @ucsfci2.bsky.social · 26/02/2026
At @ucsfci2.bsky.social, we're moving beyond just looking at the pixels on a scan. By using medical-grade #LLMs, like UCSF Versa, we can instantly analyze a patient's clinical history to tailor cardiac MRI & CT protocols & interpretation in real-time. #NationalHeartMonth
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UCSF Center for Intelligent Imaging @ucsfci2.bsky.social · 17/02/2026
In the February @ucsfci2.bsky.social SRG Pillar Meeting, Dr. Mansour Abtahi reviewed his foundation model research in detecting #ProstateCancer. Results showed that the model has the potential to be used for different cancers in the future.
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How LLMs Detect Prostate Cancer with Mansour Abtahi | intelligent imaging
University of California San Francisco
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UCSF Center for Intelligent Imaging @ucsfci2.bsky.social · 16/02/2026
The future of heart health lies at the intersection of imaging & medical data. Hear from Dr. Jae Ho Sohn on the power of #LLMs for #HeartHealth. ⬇️ #NationalHeartMonth
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UCSF Center for Intelligent Imaging @ucsfci2.bsky.social · 13/02/2026
"The model has learned features that are related to different stages of #ProstateCancer," Dr. Mansour Abtahi said of his research on #AI detection of cancer. Visit bit.ly/468VSWt for the full recap of his SRG Pillar Meeting presentation.
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How LLMs Detect Prostate Cancer with Mansour Abtahi | intelligent imaging
University of California San Francisco
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UCSF Center for Intelligent Imaging @ucsfci2.bsky.social · 11/02/2026
Today, we celebrate International Day of Women & Girls in Science. At @ucsfci2.bsky.social, our women researchers are advancing AI in radiology & encouraging the next generation of women in STEM. #IDWGS
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