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.
Wafer-like materials studded with nanofabricated protrusions enable researchers to direct light and contemplate new optical devices.
Li Feng, developer of fast MRI techniques, talks about going beyond speed, his path to academia, and the rewards of persistence.
Approach may reduce radiation exposure and costs.
The Society for Cardiovascular Magnetic Resonance has bestowed its highest honor on Leon Axel, radiologist, scientist, and longtime developer of MRI methods to better understand the heart.
A multicompartment diffusion MRI analysis of football athletes adds to the body of evidence linking concussion and repeated head impacts to changes in the corpus callosum.
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.
Recent research shows that sodium MRI can predict cancer response to chemotherapy. The National Cancer Institute is funding NYU Grossman School of Medicine to develop and validate the method.