Imaging scientists at NYU Langone have created an AI model that assesses MRI data during the exam to inform the remainder of the imaging session.
Tag: Artificial Intelligence
Lavanya Umapathy, postdoctoral fellow who develops representation learning models for medical imaging, talks about improving prostate-cancer screening and using artificial intelligence to approach “the person behind the images.”
Congratulations to Jungkyu Park on a successful defense of his doctoral dissertation in biomedical imaging and technology at NYU Grossman School of Medicine.
Eros Montin, research scientist who develops MRI simulation software and investigates radiomics, talks about building a virtual scanner, using orthogonal information, and what he thinks about while walking down the street.
The fastMRI dataset now includes curated breast MRI data to boost AI innovation in radial, dynamic contrast-enhanced, ultrafast MRI of the breast.
Since 2014, the Center for Advanced Imaging Innovation and Research has been in the lead of technological shifts in magnetic resonance imaging. An award from the National Institutes of Health is extending the center’s mandate for a third five-year term.
Marcelo Zibetti, imaging scientist at NYU Langone Health, talks about efficiency in MRI, the value of differing vantage points, and learning by thinking across disciplines.
Yiqiu “Artie” Shen, machine learning researcher who develops artificial intelligence systems for medical imaging, talks about AI’s ability to explain itself, guide discovery, and predict cancer risk.
Radhika Tibrewala, graduate student in biomedical imaging, talks about the new fastMRI prostate dataset, deep learning in MRI, and how she started a PhD remotely in 2020.
Patricia Johnson, who researches machine learning image reconstruction, talks about faster MRI, visual preferences, and diagnostic interchangeability.