Seminars & Events

Tuesday, March 04, 2025, 15:00-16:00
The Health AI and Data Science (HAD) Program presents
Simultaneous Partial Volume Correction and Denoising of Clinical and Phantom Brain Dataset Using Deep Learning
Speaker: Sanaz Kaviani
I have a PhD in Biomedical Engineering from Université de Montréal, where I focused on enhancing PET brain imaging using deep learning and advanced reconstruction techniques. Currently, as a postdoctoral researcher at Ottawa Hospital and Jubilant, I develop AI-based solutions for PET imaging, including AI-driven denoising and gated parametric mapping for cardiac PET scans.
Location: Virtual via MS Teams. Meeting ID: 236 690 246 000 | Passcode: rC2ui98d

Please contact Emma Brown at emmabrown1@ohri.ca if you would like the meeting link.

NOTE: If you would like to be added to the HAD - Health AI and Data Science team on MS Teams (including the HAD JC seminar mailing list), please join the team using code: owfh55e. If you are external to TOH/OHRI and would like to be added, please email Emma Brown at emmabrown1@ohri.ca.

Learning outcomes:

  1. Simultaneous Partial Volume Correction (PVC) and Denoising of Brain PET images.
  2. Novel deep learning-based PVC method, leveraging Transformer and U-net architectures to enhance PET image quality and quantitative accuracy

Please note that OHRI seminars are open to all members of OHRI and partner institutions. Members of the general public are asked to contact the communications office (jganton@ohri.ca) for more information about the research presented at OHRI seminars.