Explainable AI for medical imaging

Overview

AI is increasingly used for interpreting medical images (e.g. MRI, CT, X-ray) in order to diagnose or monitor diseases. We are working on methods that can explain the AI decision and provide supplementary information. For example, if AI detect an abnormality, we want to generate the same scan without the abnormality. Another example is to detect automatically an area that is suspicious just by learning what healthy scans look like.

Research activities

This project is part of a large activity within a multidisciplinary team in collaboration with clinical and commercial partners. The student will investigate several generative AI techniques and validate results using large datasets of medical images and other clinical data.

The main activity will involved coding using Python and the Pytorch machine learning environment. Methods to be explored include self-supervision autoencoder, adversarial learning, and diffusion based generative model. The student is expected to contribute to:

• developing and testing advanced methods in high performance computing environments
• collaborating with researchers from QUT and clinical partners
• delivering high-quality research presentations and publications
• evaluating algorithms with real world data.

Outcomes

The primary outcomes from this project include:

• data management and organisation
• python software implementing advanced machine learning applied to medical images and medical data
• new explainable paradigm for clinical decision support
• research papers in top international conferences and journals
• research presentations at international conferences, academic institutions, and industry.

Skills and experience

To be considered for this project you'll need a high GPA with experience and skills in a number of the following areas:

• programming (at least python, pytorch)
• algorithms, optimisation
• machine learning, especially generative model.

A solid background and interest in physics and/or mathematics will be highly valued.

Scholarships

You may be eligible to apply for a research scholarship.

Explore our research scholarships

Keywords

• ai
• artificial intelligence
• machine learning
• medical imaging

Contact

Contact Professor Olivier Salvado via email olivier.salvado@qut.edu.au for more information.