TIME: 4:45 for refreshments followed by talk
VENUE: Queensland University of Technology, Gardens Point Campus, E Block, Room 410
Members and guests are welcome to join the speaker afterwards at a nearby restaurant.
TITLE: Machine learning in neuroimaging: Using measures of brain injury to predict outcomes in children with cerebral palsy
SPEAKER: Dr. Alex Pagnozzi, Advance Queensland Early Career Fellow, The Australian e-Health Research Centre, CSIRO
ABSTRACT: In the neuroimaging field, significant effort has been made towards using machine learning to develop informative and clinically useful features from the vast quantity of information contained in medical images. This presentation will detail a range of automated methods used to characterise brain injury from the MRIs of children with Cerebral Palsy (CP), which is the most common cause of childhood disability worldwide. These methods can supplement the manual, clinical assessment of the images with both quantitative measures of injury, as well as provide estimates of patient motor and cognitive function. This information can help guide clinical decisions around optimal rehabilitation strategies, improving long-term outcomes in children with CP.
BIOGRAPHY: Alex Pagnozzi is a medical engineer and Advance Queensland fellow at the Australian e-Health Research Centre, a joint venture between CSIRO and the Queensland Government. During his honours year, he pursued his interests in medical imaging, working on the “microscope in a needle” imaging probe at the Optical and Biomedical Engineering Laboratory, in Perth. His interest in using machine learning techniques to improve the understanding of the brain led him to Brisbane, where he undertook a PhD on the automatic characterisation of brain injury from Magnetic Resonance Images (MRIs). Now as a postdoctoral researcher with CSIRO, he will be developing web-based tools to make these techniques available to researchers and clinicians, accelerating brain research and improving outcomes for children with neurological injuries.
|Time:||4:45 pm - 6:00 pm|