Using Brain MRI images to predict Memory, BMI and Age.
This project was done for the course Machine Learning for Healthcare at NYU in Fall 2018.
In recent years, a lot of research has been done on applying deep learning to medical problems. A significant chuck of this work focuses on using computer vision for medical imaging tasks like classification and segmentation. In this paper, we use simple 3D neural network architectures to predict parameters like memory scores, body mass index (BMI) and age of a person. We model the problem as both single and multitask predictions. We compare the performance of the two approaches. We also use visualizations to find biomarkers for these parameters.
Resulting paper can be found here.