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.
Category: Lab Talk
Conversations with the people behind the scientific and technological developments at the Center for Advanced Imaging Innovation and Research.
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.
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.”