Rosita Shishegar


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Dr Rosita Shishegar is a dynamic researcher working with The Commonwealth Scientific and Industrial Research Organisation (CSIRO) as a research fellow. Rosita is passionate about health and technology and determined to make an impact in the field. She holds an affiliate position at Monash University, School of Psychological Sciences. Her current research, in the area of data sciences and neuroimaging, is focused on understanding brain structure and function in normal brain development and neurodegenerative diseases such as Alzheimer's disease, Friedreich's ataxia and Huntington’s disease. She is leading longitudinal studies using AIBL, ADNI, MAGE-FRDA and the IMAGE-HD multimodal datasets.

She completed her PhD at the University of Melbourne’s Department of Electrical and Electronic Engineering, studying brain development using diffusion-weighted MRI. In her PhD research she proposed data analysis approaches for the study of cortical morphometry that addressed the shortcomings of existing methods, with particular application to pre-clinical studies of fetal brain development. 


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Research Output 2011 2019

1 Citation (Scopus)

Advanced MRI analysis to detect white matter brain injury in growth restricted newborn lambs

Malhotra, A., Sepehrizadeh, T., Dhollander, T., Wright, D., Castillo-Melendez, M., Sutherland, A. E., Pham, Y., Ditchfield, M., Polglase, G. R., de Veer, M., Jenkin, G., Pannek, K., Shishegar, R. & Miller, S. L., 1 Jan 2019, In : NeuroImage: Clinical. 24, 9 p., 101991.

Research output: Contribution to journalArticleResearchpeer-review

Open Access

Altered Cortical Morphometry in Pre-manifest Huntington’s Disease: Cross-sectional Data from the IMAGE-HD Study

Shishegar, R., Rajapakse, S. & Georgiou-Karistianis, N., 2019. 1 p.

Research output: Contribution to conferencePosterOtherpeer-review

The Subplate: A Potential Driver of Cortical Folding?

Rana, S., Shishegar, R., Quezada, S., Johnston, L., Walker, D. & Tolcos, M., 4 Feb 2019, (Accepted/In press) In : Cerebral Cortex. 12 p.

Research output: Contribution to journalReview ArticleResearchpeer-review

Automatic segmentation of fetal brain using diffusion-weighted imaging cues

Shishegar, R., Joshi, A. A., Tolcos, M., Walker, D. W. & Johnston, L. A., 19 Jun 2017, IEEE International Symposium on Biomedical Imaging. IEEE, Institute of Electrical and Electronics Engineers, p. 804-807 4 p. 7950640

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review