Highlighting SPIE 2018 student presentations – Cam Bermudez
Cam Bermudez, an MD/PhD student in the Medical-image Analysis and Statistical Interpretation (MASI) Lab, attended SPIE Medical Imaging meeting once before but 2018 was a different experience entirely.
Bermudez went as a speaker. As lead author, Bermudez presented the paper titled, “Learning implicit brain MRI manifolds with deep learning.”
The lab, part of the Vanderbilt Institute for Surgery and Engineering (VISE), is directed by Bennett Landman, PhD, Associate Professor Department of Electrical Engineering.
Bermudez said the feedback and conversations with other scholars after the presentation will shape how he moves forward with the project.
“Any chance to present in front of my colleagues is an opportunity for growth,” Bermudez said. “Not only do I get to improve on my ability to communicate science with each iteration, but I am exposed to new concepts and ideas.”
“Presenting at this conference was a great way to break down the knowledge in my mind into ideas that people can follow,” he said, adding that the conference itself was inspirational. “It motivates me to continue thinking about creative science and impactful projects.”
This is the first of five short stories highlighting VISE students who presented SPIE Medical Imaging 2018.
Learn more about the MASI Lab