Jingjia Chen, postdoctoral fellow who investigates longitudinal imaging and imaging in the presence of motion, talks about using the past in the present, improving body MRI, and taking better pictures.
Category: Lab Talk
Conversations with the people behind the scientific and technological developments at the Center for Advanced Imaging Innovation and Research.
Patryk Filipiak, research scientist who specializes in diffusion MRI and tractography, talks about visualizing neural fibers, imaging the world’s first whole-eye transplant, and striving to see what’s really there.
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.
Yu Veronica Sui, postdoctoral fellow who investigates neuropsychiatric conditions and the brain, talks about grey-matter myelin, developing expertise in MRI, and how psychology led her to imaging.
Mary Bruno, MRI technologist on an advanced practice team at NYU Langone Health, talks about patient care, quality improvement, scientific research, and always learning.
Valentina Mazzoli, imaging scientist searching for biomarkers of muscle health, talks about what makes muscles special, the toll that time can take on them, and the wonder of her first encounter with MRI.
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.
Ivan Kirov, scientist who uses magnetic resonance spectroscopy as a window into the brain, talks about MRS, being methodical, and why drawing clear conclusions can be so challenging.
Santiago Coelho, postdoctoral fellow who develops diffusion MRI methods for brain imaging, talks about modeling tissue properties, entering the field by chance, and what he proposes to do next.
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.