Improve the diagnostic prediction of imaging measures in dementia and epilepsy
- Research Opportunity
- PhD, Masters by Research, Master of Biomedical Science, Post Doctor Research
- Number of Master Places Available
- Medicine and Radiology
- Royal Melbourne Hospital
|Dr Vijay Venkatramanfirstname.lastname@example.org||Personal web page|
|Prof Roland Bammeremail@example.com||Personal web page|
|Dr Chris Stewardfirstname.lastname@example.org|
Summary The aim of this study is to study the impact of neuroimaging tools driven by machine learning on clinical diagnosis in dementia and epilepsy .
Quantitative imaging measures have shown to be clinically useful in rendering diagnoses. We believe that a variant of the machine learning approach called deep learning can be used to better identify and delineate the regions of interest at much improved speed and accuracy. In this project, we will develop novel neuroimaging tools driven by machine learning to precisely identify and measure pathologies in epilepsy and dementia.
The current study will use imaging and clinical data from a publicly available datasets and also datasets acquired locally. Prospective datasets will also be acquired. The aim of this study is to study the impact of neuroimaging tools driven by machine learning on clinical diagnosis in dementia and epilepsy .
The student will be responsible for the development of the proposal and refinement of study hypotheses, conducting a literature review, processing of brain imaging scans and performing statistical analyses. Publication of results is expected at the end of the project. The students will be mentored and work within a multidisciplinary team in the Royal Melbourne Hospital, Florey Institute of Neuroscience and Mental Health, and University of Melbourne as well as other collaborators (in Melbourne and internationally). Publication of results is expected at the end of the project. Additional top-up PhD scholarship will be available for qualified students. The specific details of the project will be discussed with interested candidates.
Faculty Research Themes
School Research Themes
PhD, Masters by Research, Master of Biomedical Science, Post Doctor Research
Students who are interested in joining this project will need to consider their elegibility as well as other requirements before contacting the supervisor of this research
For further information about this research, please contact a supervisor.
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