Diffusion-weighted imaging helps gauge risk of prostate cancer but is marred by anatomical distortions, low image quality, and long scan time. The NIH is funding a postdoc-led project at NYU Grossman School of Medicine to clear things up.
Tag: Postdoctoral Training
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 Santiago Coelho and Ilias Giannakopoulos on being named among the 2025 junior fellows of the International Society for Magnetic Resonance in Medicine.
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.
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.
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.
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.
Ilias Giannakopoulos, postdoctoral fellow in MRI, talks about how electromagnetic waves interact with the body, why matrix compression matters, and where he finds inspiration.
Li Feng, developer of fast MRI techniques, talks about going beyond speed, his path to academia, and the rewards of persistence.
Patricia Johnson, who researches machine learning image reconstruction, talks about faster MRI, visual preferences, and diagnostic interchangeability.