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Blue sky methods in machine and deep learning for medical image analysis at scale

Project Description

This project is targeted to PhD student applicants with a strong technical background in computer science and mathematics who are interested to develop new blue sky methods in machine learning and deep learning in an inspiring environment. Unlike other projects with a stronger translational focus, this project has no a priori application domain but is challenge driven.

We seek candidates with interest and background to tackle the following challenges:
- new machine learning techniques for medical image segmentation and registration at scale;
- new machine learning approaches to handle uncertainty in inputs and outputs in regression and classification problems; and
- new approaches to manifold learning of spatio-temporal trajectories.

Funding Notes

Funding will be awarded on a competitive basis.

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