Ilias Giannakopoulos, postdoctoral fellow in MRI, talks about how electromagnetic waves interact with the body, why matrix compression matters, and where he finds inspiration.
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.
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.
Anna Chen, PhD candidate in biomedical imaging, talks about what led her to research, why she’s working with MR spectroscopy, and how she’s learning about business.
Mariana Lazar, medical imaging researcher who investigates psychiatric disorders, talks about recent findings, mentoring students, and learning by doing.
Krzysztof Geras and Jan Witowski, machine learning researchers in medical imaging, talk about understanding one’s data, working across disciplines, and radiologists’ “new colleague.”
Florian Knoll, incoming chair of imaging at University of Erlangen–Nuremberg, talks about his background, not being greedy, and why he does what he does.
Daniel Sodickson, vice chair for research at NYU Langone’s radiology department, talks about cultivating talent, finding “a room of one’s own,” and distrusting startup packages.