Congratulations to Linda Moy on becoming the 2026–2027 vice president–elect of the International Society for Magnetic Resonance in Medicine.
Author: Pawel Slabiak
Eric Sigmund, scientist who advances methods for MRI of diffusion and flow, talks about intravoxel incoherent motion, developing standards for a growing field, and why his lab is about to start spinning sugar.
Congratulations to Riccardo Lattanzi on being named among the 2026 fellows of the International Society for Magnetic Resonance in Medicine.
Researchers at NYU Langone Health and scientists at Fermilab are exploring whether quantum computing can help bring about long envisioned quantitative MRI. Step one: teaching qubits (and qudits) to do the math.
Imaging researchers at NYU Langone have used deep learning to turn noise against itself in order to improve low-field MRI. They’re after something much bigger than sharper images.
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Goodbye, FMR9
A fond look at the legacy and the final moments of an MRI scanner that played a special role in building NYU Langone’s imaging research program.
NYU Langone welcomes an MRI research system for conducting in vivo investigations of the brain’s microenvironment with unprecedented sensitivity.
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.
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.”
Yongxian Qian, imaging scientist whose interests include multinuclear MRI and quantum computing, talks about how he entered the field, why sodium MRI matters, and what quantum tech can mean for imaging.