Dr Sam Hames
Research Fellow (Computational Huma
School of Languages and Cultures
Book Chapter
Kose, Kivanc and Hames, Samuel C. (2017). Computational methods in skin confocal microscopy. Reflectance confocal microscopy of cutaneous tumors. (pp. 26-36) edited by Salvador Gonzalez. Boca Raton, FL, United States: CRC Press. doi: 10.1201/9781315113722-11
Journal Articles
Hames, Samuel C., Bradley, Andrew P., Ardigo, Marco, Soyer, H. Peter and Prow, Tarl W. (2021). Towards data-driven quantification of skin ageing using reflectance confocal microscopy. International Journal of Cosmetic Science, 43 (4), 466-473. doi: 10.1111/ics.12720
Graham, Timothy, Bruns, Axel, Angus, Daniel, Hurcombe, Edward and Hames, Sam (2021). #IStandWithDan versus #DictatorDan: the polarised dynamics of Twitter discussions about Victoria's COVID-19 restrictions. Media International Australia , 179 (1), 127-148. doi: 10.1177/1329878x20981780
Schweinberger, Martin, Haugh, Michael and Hames, Sam (2021). Analysing discourse around COVID-19 in the Australian Twittersphere: a real-time corpus-based analysis. Big Data and Society, 8 (1), 205395172110214. doi: 10.1177/20539517211021437
Hames, Samuel C., Ardigò, Marco, Soyer, H. Peter, Bradley, Andrew P. and Prow, Tarl W. (2016). Automated segmentation of skin strata in reflectance confocal microscopy depth stacks. PLoS One, 11 (4) e0153208, e0153208. doi: 10.1371/journal.pone.0153208
Hames, Samuel C., Sinnya, Sudipta, Tan, Jean-Marie, Morze Conrad, Sahebian, Azadeh, Soyer, H. Peter and Prow, Tarl W. (2015). Automated detection of actinic keratoses in clinical photographs. PLoS ONE, 10 (1) e0112447, e0112447.1-e0112447.12. doi: 10.1371/journal.pone.0112447
Hames, S. C. and Prow, T. W. (2015). The future of keratinocyte skin cancer surveillance: automated image analysis to identify and monitor keratinocyte dysplasia. Current Problems in Dermatology, 46, 77-84. doi: 10.1159/000366540
Sinnya, Sudipta, O'Rourke, Peter, Ballard, Emma, Tan, Jean M., Morze, Conrad, Sahebian, Azadeh, Hames, Sam C., Prow, Tarl W., Green, Adele C. and Soyer, H. Peter (2015). Counting actinic keratosis – is photographic assessment a reliable alternative to physical examination in clinical trials?. Acta Dermato-Venereologica, 95 (5), 604-605. doi: 10.2340/00015555-2040
Conference Papers
Hames, Samuel C., Ardigo, Marco, Soyer, H. Peter, Bradley, Andrew P. and Prow, Tarl W. (2016). Anatomical skin segmentation in reflectance confocal microscopy with weak labels. International Conference on Digital Image Computing: Techniques and Applications, DICTA 2015, Adelaide, Australia, 23-25 November 2015. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/DICTA.2015.7371231
Hames, Samuel C., Ardigo, Marco, Soyer, H. Peter, Bradley, Andrew P. and Prow, Tari W. (2015). Segmentation of skin strata in reflectance confocal microscopy depth stacks. Medical Imaging 2015: Image Processing, Orlando, FL United States, 24-26 February 2015. Bellingham, WA United States: S P I E - International Society for Optical Engineering. doi: 10.1117/12.2081737
Sinnya, S., Tan, J. M., O'Rourke, P., Hames, S., Morze, C., Sahebian, A., Patel, N., Green, A., Prow, T. and Soyer, H. P. (2013). Intra and interobserver variability of counting actinic keratoses in the era of photographic documentation: a reliability consensus study. The Australasian College of Dermatologists 46th Annual Scientific Meeting, Sydney, NSW, Australia, 19-22 May 2013. Richmond, VIC, Australia: Wiley-Blackwell Publishing Asia. doi: 10.1111/ajd.12051
Veidt, M., Rohde, A., Ng, C. T. and Hames, S. (2008). Imaging laminar damage using plate wave ultrasonics and proposed methodology for designing optimal transducer networks. 2nd Asia-Pacific Workshop on Structural Health Monitoring, Melbourne, VIC Australia, 2-4 December 2008. Melbourne, VIC Australia: Institution of Materials Engineering Australasia.
Veidt, M., Ng, A., Hames, S. and Wattinger, T. (2008). Imaging laminar damage in plates using lamb wave beamforming. Multi-functional Materials and Structures, Hong Kong, 28-31 July 2008. Switzerland: Trans Tech Publishers. doi: 10.4028/www.scientific.net/AMR.47-50.666
Thesis
Hames, Samuel (2022). Data driven non-invasive assessment of human skin. PhD Thesis, Faculty of Medicine, The University of Queensland. doi: 10.14264/68caa49