UCSF Center for Intelligent Imaging(@UCSF_Ci2) 's Twitter Profileg
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

linkhttps://intelligentimaging.ucsf.edu/ calendar_today03-02-2020 21:47:35

1,5K Tweets

918 Followers

106 Following

UCSF Center for Intelligent Imaging(@UCSF_Ci2) 's Twitter Profile Photo

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…

account_circle
UCSF Center for Intelligent Imaging(@UCSF_Ci2) 's Twitter Profile Photo

Curious about the impact of in medical diagnostics? UCSF Center for Intelligent Imaging's Dr. Andreas Rauschecker (@DrDreMDPhD) discusses how algorithms are revolutionizing the way we detect anomalies in medical scans in nature. nature.com/articles/d4158…

account_circle
UCSF Center for Intelligent Imaging(@UCSF_Ci2) 's Twitter Profile Photo

Check out this evening's poster presentation at 5:00 PM ISMRM by UCSF Center for Intelligent Imaging & @UCSF researchers on ' Reducing Inter Scanner Variability Using Voxel-Based Relaxometry And Z-Score Normalization: 6 Years Longitudinal Study Of Hip-OA Patients.' 24

Check out this evening's poster presentation at 5:00 PM @ISMRM by @UCSF_Ci2 & @UCSF researchers on ' Reducing Inter Scanner Variability Using Voxel-Based Relaxometry And Z-Score Normalization: 6 Years Longitudinal Study Of Hip-OA Patients.' #ISMRM24 #ISMRM
account_circle
UCSF Center for Intelligent Imaging(@UCSF_Ci2) 's Twitter Profile Photo

Check out this afternoon's poster presentation at 1:45 ISMRM by UCSF Center for Intelligent Imaging & @UCSF researchers on 'Semi-Supervised Learning For Non-Invasive Radiopathomic Mapping Of Treatment NaïVe Glioma With Multi-Parametric MRI .' 24

Check out this afternoon's poster presentation at 1:45 @ISMRM by @UCSF_Ci2 & @UCSF researchers on 'Semi-Supervised Learning For Non-Invasive Radiopathomic Mapping Of Treatment NaïVe Glioma With Multi-Parametric MRI .' #ISMRM24 #ISMRM
account_circle
UCSF Center for Intelligent Imaging(@UCSF_Ci2) 's Twitter Profile Photo

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. 24

This morning, @UCSF_Ci2's Dr. @sharmilamajumda'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. #ISMRM24 #ISMRM
account_circle
UCSF Imaging(@UCSFimaging) 's Twitter Profile Photo

This study by UCSF Imaging & UCSF Center for Intelligent Imaging's Drs. Eugene Ozhinsky, Valentina Pedoia, Sharmila Majumdar & Felix Liu shows how models can automate oblique lumbar spine# MRI prescriptions without manual annotation or feature engineering. doi.org/10.1016/j.mri.…

This study by @UCSFimaging & @UCSF_Ci2's Drs. @eugene_ozhinsky, @PedoiaValentina, @sharmilamajumda & 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.…
account_circle
Radiology(@radiology_rsna) 's Twitter Profile Photo

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…

account_circle
UCSF Center for Intelligent Imaging(@UCSF_Ci2) 's Twitter Profile Photo

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…

account_circle
UCSF Center for Intelligent Imaging(@UCSF_Ci2) 's Twitter Profile Photo

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…

account_circle
UCSF Center for Intelligent Imaging(@UCSF_Ci2) 's Twitter Profile Photo

Dr. Andreas Rauschecker (Andreas Rauschecker) of UCSF Center for Intelligent Imaging evaluated ANUBEX, a based model for neonatal brain extraction based on the nnU-Net architecture. Read the results ➡️ doi.org/10.1038/s41598…

account_circle
UCSF Center for Intelligent Imaging(@UCSF_Ci2) 's Twitter Profile Photo

.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…

account_circle
UCSF Center for Intelligent Imaging(@UCSF_Ci2) 's Twitter Profile Photo

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…

account_circle
UCSF Center for Intelligent Imaging(@UCSF_Ci2) 's Twitter Profile Photo

While contributes to climate change, we can also use 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…

account_circle
UCSF Imaging(@UCSFimaging) 's Twitter Profile Photo

In Eric Zurrin, UCSF Imaging & UCSF Center for Intelligent Imaging researchers adapt tools to detect lesions. In clinical practice, this has the potential to improve radiologists' speed and accuracy. AwarenessMonth tiny.ucsf.edu/TransferLearni…

In @Frontiers, @UCSFimaging & @UCSF_Ci2 researchers adapt #AI tools to detect #MS lesions. In clinical practice, this has the potential to improve radiologists' speed and accuracy. #multiplesclerosis #MSAwarenessMonth tiny.ucsf.edu/TransferLearni…
account_circle