Cedars-Sinai Biomedical Imaging Research Institute
@csmcbiri
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The BIRI mission is to improve the diagnosis, prevention, and treatment of diseases by developing and translating novel medical imaging technologies
Los Angeles, CA
Joined January 2017
RT @CardioMDPhD: New paper from @MonteHeart by @ToshikiKuno @javearce in great collaboration with @damini_dey @danielbermanmd @lesleejshaw….
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RT @BJR_Radiology: Artificial intelligence-assisted quantification of COVID-19 pneumonia burden from computed tomography improves predictio….
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RT @CedarsSinai: Cedars-Sinai is proud to be recognized on U.S. News & World Report’s “Best Hospitals” Honor Roll for 8 years in a row. J….
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RT @BJR_Radiology: Artificial intelligence-assisted quantification of COVID-19 pneumonia burden from computed tomography improves predictio….
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RT @BrunoLimaMDPhD: Dr Damini Dey (@damini_dey) from @CedarsSinaiMed presenting newer data AI technologies using Deep Learning and Convolut….
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RT @CedarsSinai: In a study published in JAMA Neurology, Marcel Maya, MD, and colleagues found that minimally invasive MRI technologies are….
cedars-sinai.org
Dr. Marcel Maya on the talismans that remind him to go outside.
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New insights into the world of infant development: our brains at 3 mo might set the stage for how we engage socially at 6 mo. A collaboration between BIRI's @Gao_Cedars and the @BeckmanInst highlights the dynamic nature of infant-mother interaction.
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RT @BJR_Radiology: Artificial Intelligence-assisted quantification of COVID-19 pneumonia burden from computed tomography improves predictio….
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Artificial intelligence in cardiovascular imaging: enhancing image analysis and risk stratification.
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RT @bncs_imaging: Unsupervised learning to characterize patients with known coronary artery disease undergoing myocardial perfusion imaging….
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RT @imagingmedsci: New paper published- Unsupervised learning to characterize patients with known coronary artery disease undergoing myocar….
pubmed.ncbi.nlm.nih.gov
Our unsupervised cluster analysis in patients with known CAD undergoing SPECT MPI identified three distinct phenotypic clusters and predicted all-cause mortality better than ischemia alone.
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New research from @damini_dey and collaborators:. In severe aortic stenosis, bicuspid valves have more fibrosis than tricuspid valves, esp. in women. These sex-specific differences may influence early detection, severity grading, and targeted treatment.
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Ever wondered how babies recover from stress?. A recent study from the @Gao_Cedars lab and the @BeckmanInst links infant brain connectivity patterns to stress recovery, highlighting the critical role of early brain development in social-emotional function.
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RT @RafalWolny: Pleased to share our research from @nikardiologii on the CT-derived PCAT in SCAD published in @Heart_BMJ. Thanks to @damini….
heart.bmj.com
Objective Inflammatory activity is one of the potential mechanisms of spontaneous coronary artery dissection (SCAD). Recently, the pericoronary adipose tissue attenuation (PCAT) derived from CT...
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Artificial Intelligence-assisted quantification of COVID-19 pneumonia burden from computed tomography improves prediction of adverse outcomes over visual scoring systems.
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RT @ctcapapers1: Computed tomography-based pericoronary adipose tissue attenuation in patients undergoing TAVR: a novel method for risk ass….
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An important consensus statement, co-authored by BIRI's @damini_dey!.
Check out our new Consensus Statement by @ProfDewey and the Quantitative Cardiovascular Imaging Study Group on the optimal use of imaging modalities to detect and assess coronary artery stenosis and atherosclerosis |
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RT @LondonCardiacCT: Cardiac Computed Tomography for Quantification of Myocardial Extracellular Volume Fraction: A Systematic Review and Me….
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