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2026 Journal Article Automated classification of site-specific cutaneous photodamage using a convolutional neural network and 3D total body photographyKahler, Sam, Yan, Siyuan, Mothershaw, Adam, Leo, Francesco, Rutjes, Chantal, Yu, Zhen, Jayasinghe, Dilki, Mar, Victoria, Janda, Monika, Ge, Zongyuan, Soyer, H. Peter, Betz-Stablein, Brigid and Primiero, Clare (2026). Automated classification of site-specific cutaneous photodamage using a convolutional neural network and 3D total body photography. British Journal of Dermatology, 194 (4) ljaf516, 737-746. doi: 10.1093/bjd/ljaf516 |
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2026 Journal Article Automating skin colour assessment using 3D total‐body photography: A proof‐of‐concept studyRutjes, Chantal, Primiero, Clare A., Mothershaw, Adam, Betz‐Stablein, Brigid, Muller, Nicholas M., Liu, Timothy J., McInerney‐Leo, Aideen, Janda, Monika, Soyer, Hans Peter and Jayasinghe, Dilki (2026). Automating skin colour assessment using 3D total‐body photography: A proof‐of‐concept study. Journal of the European Academy of Dermatology and Venereology, 40 (3) jdv.70146, 528-530. doi: 10.1111/jdv.70146 |
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2026 Journal Article 3D-total body photography identifies cutaneous phenotypes associated with late-onset invasive melanoma riskKahler, Sam, Primiero, Clare, Mothershaw, Adam, Jayasinghe, Dilki, Rutjes, Chantal, Betz-Stablein, Brigid, Janda, Monika, Soyer, H. Peter and McInerney-Leo, Aideen (2026). 3D-total body photography identifies cutaneous phenotypes associated with late-onset invasive melanoma risk. British Journal of Dermatology, 194 (3) ljaf440, 531-539. doi: 10.1093/bjd/ljaf440 |
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2025 Other Outputs 3D total-body photography and automated tools for melanoma risk assessment: potential utility and validationRutjes, Chantal (2025). 3D total-body photography and automated tools for melanoma risk assessment: potential utility and validation. PhD Thesis, Faculty of Health, Medicine and Behavioural Sciences, The University of Queensland. doi: 10.14264/4fd94d8 |
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2025 Conference Publication Leveraging artificial intelligence and 3D total body photography to automate skin photodamage assessmentPrimiero, 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 |
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2025 Conference Publication The deep imaging phenotype for melanoma risk stratificationKahler, 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. |
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2025 Conference Publication Automating skin colour assessment for melanoma risk stratification using 3D total body photographyRutjes, 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 |
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2025 Conference Publication Discordance in the classification of borderline melanocytic lesions between dermatopathologists and artificial intelligence: an Australian cohort studyMuller, 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 |
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2025 Journal Article The deep imaging phenotype for melanoma risk stratificationKahler, Sam, Rutjes, Chantal, Janda, Monika, Primiero, Clare and Soyer, H. Peter (2025). The deep imaging phenotype for melanoma risk stratification. SKINdeep, 1 (1) e150261, 1-20. doi: 10.1553/skindeep.2025.150261 |
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2025 Journal Article Combining automated lesion risk and change assessment improves melanoma detection: a retrospective accuracy studyRutjes, Chantal, Mothershaw, Adam, D’Alessandro, Brian M., Primiero, Clare A., McInerney-Leo, Aideen, Soyer, H. Peter, Janda, Monika and Betz-Stablein, Brigid (2025). Combining automated lesion risk and change assessment improves melanoma detection: a retrospective accuracy study. Journal of Investigative Dermatology, 145 (3), 703-706.e1. doi: 10.1016/j.jid.2024.07.027 |
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2025 Conference Publication Dermatopathologist consensus is crucial for the development of artificial intelligence training data in dermatologyMuller, 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 |
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2024 Conference Publication Pathologist consensus for diagnostic labels is crucial in the developement of artificial intelligence training data in dermatologyMuller, 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 |
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2024 Journal Article Consensus versus discordance in the classification of borderline melanocytic lesions between dermatopathologists and artificial intelligence: an Australian cohort studyMuller, Nicholas M., Rutjes, Chantal, Tan, Samuel X., Vipulaguna, Nisal, Oloruntoba, Ayooluwatomiwa, Nguyen, Toan, von Schuckmann, Lena, Betz‐Stablein, Brigid, Khosrotehrani, Kiarash, Ge, Zongyuan, Soyer, H. Peter and Katz, Ian (2024). Consensus versus discordance in the classification of borderline melanocytic lesions between dermatopathologists and artificial intelligence: an Australian cohort study. Journal of the European Academy of Dermatology and Venereology, 39 (7), e577-e580. doi: 10.1111/jdv.20412 |
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2023 Conference Publication Suspicious naevi classification using auxiliary classifier generative adversarial networkZegair, 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 |
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2023 Conference Publication Automated photodamage assessment from 3D total body photography for an objective assessment of melanoma riskKahler, 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. |
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2023 Conference Publication 203 Automated skin surface phenotype for melanoma risk assessmentBetz-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 |
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2022 Journal Article Amelanotic/hypopigmented melanoma in a sibship with oculocutaneous albinismMaas, Ellie J, Wallingford, Courtney K, McGuire, Jessica J, Rutjes, Chantal, Smit, Darren J, Betz-Stablein, Brigid, Sturm, Richard A, Soyer, H Peter and McInerney-Leo, Aideen M (2022). Amelanotic/hypopigmented melanoma in a sibship with oculocutaneous albinism. The Journal of Dermatology, 49 (11), 1183-1187. doi: 10.1111/1346-8138.16528 |
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2022 Journal Article A 3D total-body photography research network: the Australian experimentRutjes, Chantal, Torrano, Joachim and Soyer, H. Peter (2022). A 3D total-body photography research network: the Australian experiment. Der Hautarzt, 73 (3), 236-240. doi: 10.1007/s00105-021-04938-7 |
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2021 Journal Article High variability in anatomic patterns of cutaneous photodamage: a population‐based studyBetz‐Stablein, B., Llewellyn, S., Bearzi, P., Grochulska, K., Rutjes, C., Aitken, J.F., Janda, M., O’Rouke, P., Soyer, H.P. and Green, A.C. (2021). High variability in anatomic patterns of cutaneous photodamage: a population‐based study. Journal of the European Academy of Dermatology and Venereology, 35 (9), 1896-1903. doi: 10.1111/jdv.17352 |
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2021 Journal Article The additive value of 3D total body imaging for sequential monitoring of skin lesions: a case seriesGrochulska, Katarzyna, Betz-Stablein, Brigid, Rutjes, Chantal, Chiu, Frank Po-Chao, Menzies, Scott W., Soyer, H. Peter and Janda, Monika (2021). The additive value of 3D total body imaging for sequential monitoring of skin lesions: a case series. Dermatology, 238 (1), 1-6. doi: 10.1159/000517900 |
