Overview
Availability
- Dr Chantal Rutjes is:
- Available for supervision
Qualifications
- Bachelor (Honours), University of Applied Sciences Utrecht
- Doctor of Philosophy of Medicine (Research), The University of Queensland
Works
Search Professor Chantal Rutjes’s works on UQ eSpace
2026
Journal Article
Automated classification of site-specific cutaneous photodamage using a convolutional neural network and 3D total body photography
Kahler, 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
2026
Journal Article
3D-total body photography identifies cutaneous phenotypes associated with late-onset invasive melanoma risk
Kahler, 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
2026
Journal Article
Automating skin colour assessment using 3D total‐body photography: A proof‐of‐concept study
Rutjes, 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
2025
Other Outputs
3D total-body photography and automated tools for melanoma risk assessment: potential utility and validation
Rutjes, 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
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
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
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.
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
2025
Journal Article
The deep imaging phenotype for melanoma risk stratification
Kahler, 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
2025
Journal Article
Combining automated lesion risk and change assessment improves melanoma detection: a retrospective accuracy study
Rutjes, 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
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
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
2024
Journal Article
Consensus versus discordance in the classification of borderline melanocytic lesions between dermatopathologists and artificial intelligence: an Australian cohort study
Muller, 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
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
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.
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
2022
Journal Article
Amelanotic/hypopigmented melanoma in a sibship with oculocutaneous albinism
Maas, 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
2022
Journal Article
A 3D total-body photography research network: the Australian experiment
Rutjes, 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
2021
Journal Article
High variability in anatomic patterns of cutaneous photodamage: a population‐based study
Betz‐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
2021
Journal Article
The additive value of 3D total body imaging for sequential monitoring of skin lesions: a case series
Grochulska, 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
Supervision
Availability
- Dr Chantal Rutjes is:
- Available for supervision
Looking for a supervisor? Read our advice on how to choose a supervisor.
Media
Enquiries
For media enquiries about Dr Chantal Rutjes's areas of expertise, story ideas and help finding experts, contact our Media team: