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Stephen Gilmore

Showing results (1-10 of 15) with videos related to

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The Australasian Journal of Dermatology|August 14, 2012
Number needed to treatStephen Gilmore
The Australasian Journal of Dermatology|April 22, 2005
Modelling skin disease: lessons from the worlds of mathematics, physics and computer scienceStephen Gilmore
Plos One|September 26, 2017
Melanoma screening: Informing public health policy with quantitative modellingStephen Gilmore
The Australasian Journal of Dermatology|February 25, 2026
Automated Melanocytic Lesion Classification: Capsule Networks Trained With Synthetic Images Can Outperform Networks Trained With Real ImagesHayley Chai, Stephen Gilmore
The Australasian Journal of Dermatology|August 11, 2010
Chronic telogen effluvium is due to a reduction in the variance of anagen durationStephen Gilmore, Rodney Sinclair
The Australasian Journal of Dermatology|August 4, 2017
Australian trainee dermatologists' opinions on skin of colour education: Does it reflect changing demographics of the population?Edmund Wee, Stephen Gilmore, Michelle Rodrigues
The Australasian Journal of Dermatology|March 31, 2012
An investigation of striae distensae using reflectance confocal microscopyHeidi Rolfe, Elisabeth Wurm, Stephen Gilmore
Experimental Dermatology|July 16, 2010
A support vector machine for decision support in melanoma recognitionStephen Gilmore, Rainer Hofmann-Wellenhof, H Peter Soyer
Plos One|October 14, 2009
Lacunarity analysis: a promising method for the automated assessment of melanocytic naevi and melanomaStephen Gilmore, Rainer Hofmann-Wellenhof, Jim Muir, et al.
The Australasian Journal of Dermatology|November 11, 2011
Tele-assessment of Psoriasis Area and Severity Index: a study of the accuracy of digital image capturePhilip Singh, H Peter Soyer, Jason Wu, et al.
Pageof 2

Showing results (1-10 of 15) with videos related to

Sort By:
Pageof 2
The Australasian Journal of Dermatology|August 14, 2012
Number needed to treatStephen Gilmore
The Australasian Journal of Dermatology|April 22, 2005
Modelling skin disease: lessons from the worlds of mathematics, physics and computer scienceStephen Gilmore
Plos One|September 26, 2017
Melanoma screening: Informing public health policy with quantitative modellingStephen Gilmore
The Australasian Journal of Dermatology|February 25, 2026
Automated Melanocytic Lesion Classification: Capsule Networks Trained With Synthetic Images Can Outperform Networks Trained With Real ImagesHayley Chai, Stephen Gilmore
The Australasian Journal of Dermatology|August 11, 2010
Chronic telogen effluvium is due to a reduction in the variance of anagen durationStephen Gilmore, Rodney Sinclair
The Australasian Journal of Dermatology|August 4, 2017
Australian trainee dermatologists' opinions on skin of colour education: Does it reflect changing demographics of the population?Edmund Wee, Stephen Gilmore, Michelle Rodrigues
The Australasian Journal of Dermatology|March 31, 2012
An investigation of striae distensae using reflectance confocal microscopyHeidi Rolfe, Elisabeth Wurm, Stephen Gilmore
Experimental Dermatology|July 16, 2010
A support vector machine for decision support in melanoma recognitionStephen Gilmore, Rainer Hofmann-Wellenhof, H Peter Soyer
Plos One|October 14, 2009
Lacunarity analysis: a promising method for the automated assessment of melanocytic naevi and melanomaStephen Gilmore, Rainer Hofmann-Wellenhof, Jim Muir, et al.
The Australasian Journal of Dermatology|November 11, 2011
Tele-assessment of Psoriasis Area and Severity Index: a study of the accuracy of digital image capturePhilip Singh, H Peter Soyer, Jason Wu, et al.
Pageof 2