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2025

Conference Publication

Leveraging artificial intelligence and 3D total body photography to automate skin photodamage assessment

Primiero, Clare, Kahler, Sam, Yan, Siyuan, Mothershaw, Adam, Rutjes, Chantal, Yu, Zhen, Jayasinghe, Dilki, Janda, Monika, Ge, Zongyuan, Soyer, H. Peter and Betz-Stablein, Brigid (2025). Leveraging artificial intelligence and 3D total body photography to automate skin photodamage assessment. Australasian College of Dermatologists, 57th Annual Scientific Meeting, Brisbane, QLD, Australia, 31 May 2025 – 2 June 2025. Richmond, VIC, Australia: John Wiley & Sons. doi: 10.1111/ajd.14495

Leveraging artificial intelligence and 3D total body photography to automate skin photodamage assessment

2025

Conference Publication

The deep imaging phenotype for melanoma risk stratification

Kahler, Sam, Rutjes, Chantal, Soyer, H. Peter and Primiero, Clare (2025). The deep imaging phenotype for melanoma risk stratification. Australasian College of Dermatologists, 57th Annual Scientific Meeting, Brisbane, QLD, Australia, 31 May 2025 – 2 June 2025. Richmond, VIC, Australia: John Wiley & Sons.

The deep imaging phenotype for melanoma risk stratification

2025

Conference Publication

Automating skin colour assessment for melanoma risk stratification using 3D total body photography

Rutjes, Chantal, Jayasinghe, Dilki, Mothershaw, Adam, Betz-Stablein, Brigid, Primiero, Clare, McInerney-Leo, Aideen, Janda, Monika and Soyer, H. Peter (2025). Automating skin colour assessment for melanoma risk stratification using 3D total body photography. Australasian College of Dermatologists, 57th Annual Scientific Meeting, Brisbane, QLD, Australia, 31 May - 2 June 2025. Richmond, VIC, Australia: John Wiley & Sons. doi: 10.1111/ajd.14495

Automating skin colour assessment for melanoma risk stratification using 3D total body photography

2025

Conference Publication

Discordance in the classification of borderline melanocytic lesions between dermatopathologists and artificial intelligence: an Australian cohort study

Muller, Nicholas, Tan, Samuel, Rutjes, Chantal, Vipulaguna, Nisal, Soyer, H. Peter, Ge, Zongyuan and Katz, Ian (2025). Discordance in the classification of borderline melanocytic lesions between dermatopathologists and artificial intelligence: an Australian cohort study. Australasian College of Dermatologists, 57th Annual Scientific Meeting, Brisbane, QLD, Australia, 31 May-2 June 2025. Richmond, VIC, Australia: John Wiley & Sons. doi: 10.1111/ajd.14495

Discordance in the classification of borderline melanocytic lesions between dermatopathologists and artificial intelligence: an Australian cohort study

2025

Conference Publication

Dermatopathologist consensus is crucial for the development of artificial intelligence training data in dermatology

Muller, N., Tan, S., Rutjes, C., Katz, I., Khosrotehrani, K., Ge, Z. and Soyer, P. (2025). Dermatopathologist consensus is crucial for the development of artificial intelligence training data in dermatology. 21st EADO Congress & 11th World Congress of Melanoma, Athens, Greece, 3-5 April 2025. London, United Kingdom: Elsevier. doi: 10.1016/j.ejcskn.2025.100472

Dermatopathologist consensus is crucial for the development of artificial intelligence training data in dermatology

2024

Conference Publication

Pathologist consensus for diagnostic labels is crucial in the developement of artificial intelligence training data in dermatology

Muller, N.M., Tan, S.X., Rutjes, C., Khosrotehrani, K., von Schuckmann, L., Betz-Stablein, B. and Soyer, H. P. (2024). Pathologist consensus for diagnostic labels is crucial in the developement of artificial intelligence training data in dermatology. 53rd Annual ESDR Meeting, Lisbon, Portugal, 4-7 September 2024. Amsterdam, Netherlands: Elsevier. doi: 10.1016/j.jid.2024.10.431

Pathologist consensus for diagnostic labels is crucial in the developement of artificial intelligence training data in dermatology

2023

Conference Publication

Suspicious naevi classification using auxiliary classifier generative adversarial network

Zegair, Fatima Al, Rutjes, Chantal, Betz-Stablein, Brigid, Ge, Zongyuan, Soyer, H. Peter and Chandra, Shekhar S. (2023). Suspicious naevi classification using auxiliary classifier generative adversarial network. 2023 International Conference on Digital Image Computing: Techniques and Applications (DICTA), Port Macquarie, NSW, Australia, 28 November - 1 December 2023. Piscataway, NJ, United States: IEEE. doi: 10.1109/dicta60407.2023.00041

Suspicious naevi classification using auxiliary classifier generative adversarial network

2023

Conference Publication

Automated photodamage assessment from 3D total body photography for an objective assessment of melanoma risk

Kahler, Sam, Rutjes, Chantal, Yan, Siyuan, Mothershaw, Adam, Yu, Zhen, Jayasinghe, Dilki, Ge, Zongyuan, Stark, Mitchell, Janda, Monika, Soyer, Peter and Betz-Stablein, Brigid (2023). Automated photodamage assessment from 3D total body photography for an objective assessment of melanoma risk. Australasian College of Dermatologists 55th Annual Scientific Meeting, Engage, Enhance, Elevate, Virtual, 27-29 May 2023. Richmond, VIC Australia: John Wiley & Sons.

Automated photodamage assessment from 3D total body photography for an objective assessment of melanoma risk

2023

Conference Publication

203 Automated skin surface phenotype for melanoma risk assessment

Betz-Stablein, B. D., Rutjes, C., Kahler, S., Mothershaw, A., Jayasinghe, D., Stark, M., Janda, M. and Soyer, H. (2023). 203 Automated skin surface phenotype for melanoma risk assessment. 1st International Societies for Investigative Dermatology Meeting (ISID 2023), Tokyo, Japan, 10 - 13 May 2023. Oxford, United Kingdom: Elsevier. doi: 10.1016/j.jid.2023.03.205

203 Automated skin surface phenotype for melanoma risk assessment