Cardiac Ultrasound Synthetic Data
M.A.Sc. thesis on conditional diffusion models for synthetic echocardiograms and segmentation data augmentation.
For my M.A.Sc. thesis at UBC, I developed ControlNet-based diffusion models to generate anatomically faithful synthetic echocardiograms. I evaluated the generated data through downstream segmentation, where augmenting U-Net models with synthetic images improved performance over real-only training, and explored CMMD as a metric aligned with downstream utility.
Focus: Biomedical Imaging · Ultrasound · Diffusion Models · Segmentation