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Results 21-30 of 38 (Search time: 0.003 seconds).
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PreviewIssue DateTitleAuthor(s)
2016Statistical machine learning to identify traumatic brain injury (TBI) from structural disconnections of white matter networksMitra, J.; Shen, K.K.; Ghose, S.; Bourgeat, P.; Fripp, J.; Salvado, O.; Pannek, K.; Taylor, D.J.; Mathias, J.L.; Rose, S.
2013How much does what you eat matter? The potential role of meal size, fat content, and gender on ratings of desirabilityYantcheva, B.; Brindal, E.
2013Trajectories of problem video gaming among adult regular gamers: An 18-month longitudinal studyKing, D.; Delfabbro, P.; Griffiths, M.
2011'I just saw it as something that would pull you down, rather than lift you up': resilience in never-smokers with mental illnessLawn, S.; Hersh, D.; Ward, P.; Tsourtos, G.; Muller, R.; Winefield, A.; Coveney, J.
2017Attending patient funerals: practices and attitudes of Australian medical practitionersZambrano Ramos, S.; Chur-Hansen, A.; Crawford, G.
2011Potential effectiveness of specific anti-smoking mass media advertisements among Australian Indigenous smokersStewart, H.; Bowden, J.; Bayly, M.; Sharplin, G.; Durkin, S.; Miller, C.; Givans, S.; Warne, C.; Wakefield, M.
2010An automated strategy for the delineation and parcellation of commissural pathways suitable for clinical populations utilising high angular resolution diffusion imaging tractographyPannek, K.; Mathias, J.; Bigler, E.; Brown, G.; Taylor, J.; Rose, S.
2012HOMOR: Higher Order Model Outlier Rejection for high b-value MR diffusion dataPannek, K.; Raffelt, D.; Bell, C.; Mathias, J.; Rose, S.
2016The promise and the reality: a mental health workforce perspective on technology-enhanced youth mental health service deliveryOrlowski, S.; Lawn, S.; Matthews, B.; Venning, A.; Wyld, K.; Jones, G.; Winsall, M.; Antezana, G.; Schrader, G.; Bidargaddi, N.
2012A grounded theory approach to understand the cancer-coping processKnott, V.; Turnbull, D.; Olver, I.; Winefield, A.