Advaith Veturi's Portflio
Recently, I submitted my thesis project, which was a culmination of my Master’s course in Machine Learning at UCL. This is my second major project combining AI with medical imaging, and I had a great experience collaborating with my supervisor, Dr. Nikolas Pontikos, and everyone at Pontikos Lab. Specifically, my project focused on Generative Adversarial … Continue reading SynthEye
A couple of months back, I found this fantastic Medium article by Susan Li, which implemented a Bayesian model for estimating the effects of COVID-19 vaccines. As I had studied these topics as part of my course on Graphical models, I thought it would be interesting to re-implement this myself from scratch and break down … Continue reading Bayesian inference, MCMC and comparing COVID vaccines
I’m sure most of us will know that proteins play a huge role in the human body. They are responsible for the metabolic reactions in our cells, carry molecules from one part of the body to another, mediate cellular repair, and form a part of our immune system. But to figure out what a protein’s … Continue reading Predicting the sub-cellular location of a protein using machine learning
As part of my biomedical imaging module, I participated in a group project focused on studying the connectome using graph theory and parametric models. In this post, I’ll briefly overview connectomics, how connectomes are constructed, our team’s experiments, and my big takeaways from the project. What is connectomics? If you’ve read a lot about biological … Continue reading Modelling the Relationship Between Structural and Functional Connectomes
During my “Computational Modelling for Biomedical Imaging” course, I had the opportunity to pursue a mini-project on modeling the diffusion patterns in the brain from diffusion MRI studies. This post will give a brief overview of diffusion MRI, the models I implemented, the results, and my biggest takeaways. Introduction to diffusion MRI Magnetic Resonance Imaging … Continue reading Computational models for Diffusion MRI
Just last year, I had completed my undergraduate journey at UCL with a First Class Honors BSc in Applied Medical Sciences. As part of my degree, I got the opportunity to pursue a 9-month-long research project culminating in a dissertation. My project focused on using deep learning to automate the Cardiac MR image planning protocol. … Continue reading Automating Cardiac MR image planning using Deep Learning
