Course HST: Health Sciences and Technology

Open Opportunities

Neural Implicit Fields for Representing Cardiovascular Organs Massachusetts Institute of Technology Course HST: Health Sciences and Technology This project revolves around creating implicit neural representations of cardiovascular organs for application to virtual patient generation. Artificial Intelligence and Signal and Image Processing, Biomechanical Engineering Master Thesis

Topological Regularization for Generative Models of Cardiovascular Anatomy Massachusetts Institute of Technology Course HST: Health Sciences and Technology This project focuses on implementing topological regularization techniques for generative models of cardiovascular anatomy. Artificial Intelligence and Signal and Image Processing Master Thesis

Interactive Multi-Tissue Segmentation Platform for Intravascular Imaging Massachusetts Institute of Technology Course HST: Health Sciences and Technology This masters thesis project revolves around developing a rapid annotation platform for the creation of patient-specific digital twins from intravascular imaging. Artificial Intelligence and Signal and Image Processing Master Thesis

Deep Learning-Based Co-Registration of Coronary Computed Tomography and Intravascular Images Massachusetts Institute of Technology Course HST: Health Sciences and Technology Coronary atherosclerosis can be assessed with a wide array of imaging tools, each with its own strengths in diagnosis and treatment planning. However, aligning such imaging modalities is difficult and time-consuming. This project aims to develop a deep learning tool that can achieve multi-modal co-registration of computed tomography and intravascular images of coronary artery disease. Such a tool can be used to rapidly and automatically align large multi-modal imaging datasets, paving the way for various clinical and machine learning applications. Cardiology, Computer Vision Master Thesis