Author profile

Ruiyan Ni

Department of Medical Biophysics, University of Toronto

AuthorsPoster

Multi-Modal Self-Supervised Contrastive Learning for a Foundational Model for Brachytherapy

This project uses a multi-modal method to train a foundational model for medical images of cervical cancer patients. Multiple imaging modalities are used over the course of treatment: multiparametric MRI, CT, cone-beam CT, and PET when indicated. This motivat...

Poster Program · Diagnostic and Interventional Radiology Physics

AuthorsPoster

Self-Supervised Deep Learning for Automated Segmentation In MR-Guided High Dose-Rate Brachytherapy

High dose-rate brachytherapy (HDR-BT) is an essential component of cervical cancer treatment. While deep learning has shown promise to automate tasks within HDR-BT, such as segmentation of organs-at-risk (OARs) and targets, quality labelled data is limited. T...

Poster Program · Therapy Physics