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
ID:1224449325226319872
https://intelligentimaging.ucsf.edu/ 03-02-2020 21:47:35
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In @nature, UCSF Center for Intelligent Imaging's Dr. Andreas Rauschecker (@DrDreMDPhD) explores the potential of AI-driven virtual contrast agents. Say goodbye to the hassle of traditional dyes & hello to safer, more efficient diagnostics! Read more ➡️ nature.com/articles/d4158…
Happy Mother's Day to the brilliant & strong women in our lives! We hope you have a wonderful & relaxing day. #MothersDay
Congratulations to UCSF Imaging & UCSF Center for Intelligent Imaging's Rupsa Bhattacharjee (@Rupsa_B) for being selected as a Junior Fellow at #ISMRM24 ! 👏 #UCSFproud ISMRM
Curious about the impact of #AI in medical diagnostics? UCSF Center for Intelligent Imaging's Dr. Andreas Rauschecker (@DrDreMDPhD) discusses how #DeepLearning algorithms are revolutionizing the way we detect anomalies in medical scans in nature. nature.com/articles/d4158…
Don't miss UC San Francisco and UC San Francisco_Ci2's researchers present a digital poster during the Aches & Pains: Clinical Imaging of Arthritis session ISMRM at 5:00 pm! #ISMRM 24 #ISMRM
This morning, UCSF Center for Intelligent Imaging's Dr. Sharmila Majumdar's work on 'The Role of MR Diagnosed Bilateral Patellar Tendinopathy on Pain and Quality of Life in Elite Athletes' will be featured in a digital poster presentation during the MSK in Motion II Session at ISMRM. #ISMRM 24 #ISMRM
At ISMRM, UCSF Center for Intelligent Imaging & UCSF Department of Orthopaedic Surgery researchers will be presenting a digital poster during the MSK in Motion I: Imaging of Muscle & Tendon Session. Make sure to check it out! #ISMRM 24 #ISMRM
This study by UCSF Imaging & UCSF Center for Intelligent Imaging's Drs. Eugene Ozhinsky, Valentina Pedoia, Sharmila Majumdar & Felix Liu shows how #MachineLearning models can automate oblique lumbar spine# MRI prescriptions without manual annotation or feature engineering. doi.org/10.1016/j.mri.…
In this editorial, Drs. Jae Ho Sohn, MD, MS and Brandon K.K. Fields, M.D. discuss the study by Pan and Hu et al for predicting preinvasive, minimally invasive, and invasive adenocarcinoma. UCSF Radiology Residents UCSF Imaging UCSF Center for Intelligent Imaging @UCSF @UCSFchest doi.org/10.1148/radiol…
Research in Radiology: Artificial Intelligence by UCSF Center for Intelligent Imaging's Dr. Esther Yuh & collaborators suggests the semisupervised learning model 'achieved statistically significantly higher examination AUC on CQ500 compared with the baseline.' doi.org/10.1148/ryai.2…
The UCSF-BMSR MRI dataset is now available, including insights from UCSF Center for Intelligent Imaging's Drs. Javier Villanueva-Meyer (@MeyerVillanueva), John Mongan (@MonganMD), Andreas Rauschecker (@DrDreMDPhD) & @UCSF colleagues. doi.org/10.1148/ryai.2…
.Sean Woolen MD MS of UCSF Center for Intelligent Imaging's recent research on #sustainability in radiology explains how #ArtificialIntelligence can help improve patient care & off-put emissions. 🌎 doi.org/10.1148/radiol…
Dr. Andreas Rauschecker (Andreas Rauschecker) of UCSF Center for Intelligent Imaging evaluated ANUBEX, a #DeepLearning based model for neonatal #MRI brain extraction based on the nnU-Net architecture. Read the results ➡️ doi.org/10.1038/s41598…
.UCSF Center for Intelligent Imaging's Dr. Esther Yuh & collaborators developed a learning model for intracranial hemorrhage detection & segmentation. Read the results in Radiology: Artificial Intelligence ➡️ doi.org/10.1148/ryai.2…
Drs. Javier Villanueva-Meyer (Javier Villanueva-Meyer MD), John Mongan (@MonganMD), Andreas Rauschecker (@DrDreMDPhD) of UCSF Center for Intelligent Imaging & @UCSF colleagues were recently published in Radiology: Artificial Intelligence. Read their insights here 👉 doi.org/10.1148/ryai.2…
While #ArtificialIntelligence contributes to climate change, we can also use #AI models to curb some of the effects & improve patient outcomes. Read more from UCSF Center for Intelligent Imaging's Sean Woolen MD MS & collaborators ➡️ doi.org/10.1148/radiol…
In Eric Zurrin, UCSF Imaging & UCSF Center for Intelligent Imaging researchers adapt #AI tools to detect #MS lesions. In clinical practice, this has the potential to improve radiologists' speed and accuracy. #multiplesclerosis #MS AwarenessMonth tiny.ucsf.edu/TransferLearni…