ML Research Assistant

In May 2025 I joined the Servier Virtual Cardiac Centre to research cardiac MRI segmentation and ventricular volume estimation under the supervision of Dr. Kumaradevan Punithakumar and Dr. Michelle Noga.

I am first author on a paper published at IEEE BIBE 2025, where we benchmarked deep learning models (nnUNet, pretrained models, and our proposed transfer learning approach) for right ventricular MRI segmentation; our approach achieved the best results.

Read the paper (PDF)

I also work on reducing the number of MRI slices needed to compute accurate right ventricular volume. Our baseline integrates over all short-axis slices; our approaches range from naive slice reduction to using long-axis slice diameters in regression models (linear regression and gradient boosting) applied to clinician-reviewed data.

Currently I am a MITACS intern on the project with Chromacare Labs.

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