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.
Tag: Artificial Intelligence
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.
Findings highlight need for diversity in neurological and psychiatric research.
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.
A look at how Linda Moy, MD, professor of radiology at NYU Langone Health, is working with colleagues to investigate and develop AI methods for better breast MRI.
Patricia Johnson, who researches machine learning image reconstruction, talks about faster MRI, visual preferences, and diagnostic interchangeability.
MR images reconstructed from undersampled scans with AI have similar diagnostic value as those reconstructed with conventional methods, find scientists at NYU Langone and Meta AI Research.
Krzysztof Geras and Jan Witowski, machine learning researchers in medical imaging, talk about understanding one’s data, working across disciplines, and radiologists’ “new colleague.”
Imaging researchers at NYU Langone Health are training AI models to recognize breast cancer in mammograms, with the potential to improve radiologists’ accuracy.