HOURIEHSADAT JAMALIDINAN

PHD student
University of Calgary
Calgary, Alberta, Canada

Hourieh Jamalidinani is a PhD student in Biomedical Engineering at the University of Calgary, working within the Libin Cardiovascular Institute. Her research focuses on advanced 4D Flow MRI analysis and AI-driven post-processing techniques, including super-resolution reconstruction, dynamic segmentation, and hemodynamic biomarker extraction for applications in cardiovascular diseases

She has over a decade of professional experience in software engineering and machine learning and has transitioned her expertise into medical imaging, with a particular interest in developing robust, clinically applicable tools that improve cardiovascular assessment.

Hourieh collaborates with clinical and research teams in Canada and the UK, including the University of Leicester, through a Mitacs Globalink partnership. Her broader research interests include deep learning for flow quantification, generalizable AI models across scanner vendors, and translational imaging applications that support precision cardiovascular care.

Presentation(s):

• Hemodynamic Biomarker Profiling in Bicuspid Aortic Valve with 4DFlowNet Deep Learning Models: Post-Processing vs Super-Resolution

  Thursday, February 5, 2026
  10:36 AM - 10:43 AM