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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

Mainstreaming melanoma genetic testing: Comparable participant outcomes between dermatologists and genetic counsellors

Primiero, Clare, DeBortoli, Emily, Wallingford, Courtney, Berkman, Jennifer, Yanes, Tatiane, Finnane, Anna, Soyer, H. Peter and McInerney-Leo, Aideen (2025). Mainstreaming melanoma genetic testing: Comparable participant outcomes between dermatologists and genetic counsellors. 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.14507

Mainstreaming melanoma genetic testing: Comparable participant outcomes between dermatologists and genetic counsellors

2025

Journal Article

Attitudes Towards the Use of Artificial Intelligence in Dermatology: A Survey of Australian Dermatologists

Partridge, Brad, Janda, Monika, Gillespie, Nicole, Silva, Carina Vasconcelos, Arnold, Chris, Abbott, Lisa, Caccetta, Tony and Soyer, H. Peter (2025). Attitudes Towards the Use of Artificial Intelligence in Dermatology: A Survey of Australian Dermatologists. Australasian Journal of Dermatology, 66 (5), e279-e286. doi: 10.1111/ajd.14524

Attitudes Towards the Use of Artificial Intelligence in Dermatology: A Survey of Australian Dermatologists

2025

Journal Article

3D total-body photography in patients at high risk for melanoma : a randomized clinical trial

Soyer, H. Peter, Jayasinghe, Dilki, Rodriguez-Acevedo, Astrid J., Collins, Louisa G., Caffery, Liam J., Whiteman, David C., Betz-Stablein, Brigid, Osborne, Sonya R., Finnane, Anna, Horsham, Caitlin, Primiero, Clare, Gray, Leonard C. and Janda, Monika (2025). 3D total-body photography in patients at high risk for melanoma : a randomized clinical trial. JAMA Dermatology, 161 (5), 472-481. doi: 10.1001/jamadermatol.2025.0211

3D total-body photography in patients at high risk for melanoma : a randomized clinical trial

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) e150261, 1-20. doi: 10.1553/skindeep.2025.150261

The deep imaging phenotype for melanoma risk stratification

2025

Journal Article

Incidence and patterns of newly developed pigmented lesions in adults at high risk for melanoma

Wolber, Anna K., Jayasinghe, Dilki, Betz-Stablein, Brigid, Janda, Monika, Soyer, H. Peter and Kittler, Harald (2025). Incidence and patterns of newly developed pigmented lesions in adults at high risk for melanoma. British Journal of Dermatology, 192 (4) ljae467, 751-753. doi: 10.1093/bjd/ljae467

Incidence and patterns of newly developed pigmented lesions in adults at high risk for melanoma

2025

Journal Article

Estimation of Body Mass Index (BMI) from 3D total body photography

Kahler, Sam, Betz-Stablein, Brigid, Lee, Fabian, Torrano, Joachim, Janda, Monika, Primiero, Clare, Soyer, H. Peter and Jayasinghe, Dilki (2025). Estimation of Body Mass Index (BMI) from 3D total body photography. The Journal of Investigative Dermatology, 145 (4), 972-975.e1. doi: 10.1016/j.jid.2024.06.1294

Estimation of Body Mass Index (BMI) from 3D total body photography

2025

Journal Article

Cost-effectiveness analysis of 3D total-body photography for people at high risk of melanoma

Lindsay, Daniel, Soyer, H. Peter, Janda, Monika, Whiteman, David C., Osborne, Sonya, Finnane, Anna, Caffery, Liam J. and Collins, Louisa G. (2025). Cost-effectiveness analysis of 3D total-body photography for people at high risk of melanoma. JAMA Dermatology, 161 (5), 482-489. doi: 10.1001/jamadermatol.2025.0219

Cost-effectiveness analysis of 3D total-body photography for people at high risk of melanoma

2025

Other Outputs

Privacy in imaging for dermatology research: a case study of the Australian Centre of Excellence in Melanoma Imaging and Diagnosis

Caffery, Liam, Sullivan, Ryan P., McInerney-Leo, Aideen, Craig, Lawn, Mendis, Roshni, Janda, Monika, Halpern, Allan C. and Soyer, H. Peter (2025). Privacy in imaging for dermatology research: a case study of the Australian Centre of Excellence in Melanoma Imaging and Diagnosis. Brisbane, QLD, Australia: The University of Queensland.

Privacy in imaging for dermatology research: a case study of the Australian Centre of Excellence in Melanoma Imaging and Diagnosis

2025

Journal Article

An overview of data analysis approaches and biases in unveiling the impact of COVID 19 on melanoma diagnosis

Zheng, Lejie, Soyer, H. Peter, Janda, Monika and Jayasinghe, Dilki (2025). An overview of data analysis approaches and biases in unveiling the impact of COVID 19 on melanoma diagnosis. Journal of Investigative Dermatology, 145 (10), 2619-2623.e4. doi: 10.1016/j.jid.2025.03.009

An overview of data analysis approaches and biases in unveiling the impact of COVID 19 on melanoma diagnosis

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

Combining automated lesion risk and change assessment improves melanoma detection: a retrospective accuracy study

2025

Journal Article

Clinical features and risks of congenital melanocytic naevi: a retrospective analysis of patients at the Queensland Children's Hospital

Lobo, Yolanka, Zhuang, Jessica, Gribbin, Hannah, Pinzon Perez, William Felipe, Soyer, H. Peter and Wheller, Laura (2025). Clinical features and risks of congenital melanocytic naevi: a retrospective analysis of patients at the Queensland Children's Hospital. Australasian Journal of Dermatology, 66 (2), 61-68. doi: 10.1111/ajd.14418

Clinical features and risks of congenital melanocytic naevi: a retrospective analysis of patients at the Queensland Children's Hospital

2025

Journal Article

Patient and doctor anecdotal observations: narrative insights for reducing diagnostic excisions and promoting early detection of melanomas

Liu, Timothy J., Wolber, Anna K., Sherwood, Carl and Soyer, H. Peter (2025). Patient and doctor anecdotal observations: narrative insights for reducing diagnostic excisions and promoting early detection of melanomas. International Journal of Dermatology, 64 (2), 445-447. doi: 10.1111/ijd.17441

Patient and doctor anecdotal observations: narrative insights for reducing diagnostic excisions and promoting early detection of melanomas

2025

Journal Article

Remote cutaneous confocal microscopy: A multicentric prospective study evaluating diagnostic accuracy for melanoma and keratinocyte carcinoma in tertiary settings

Ho, Genevieve, Collgros, Helena, Sinz, Christoph, Melhoranse-Gouveia, Bruna, Gallo, Bruna, Chew, Christopher Y., Ip, Ken, Koutsis, James, Lo, Serigne N., Schwartz-Aldea, Rodrigo, Herbert, Hsien, Ferguson, Peter, Gribbin, Hannah Grace, Mar, Victoria, Soyer, H. Peter, Martin, Linda K., Smith, Andrea, Cust, Anne E. and Guitera, Pascale (2025). Remote cutaneous confocal microscopy: A multicentric prospective study evaluating diagnostic accuracy for melanoma and keratinocyte carcinoma in tertiary settings. Journal of the American Academy of Dermatology, 92 (2), 252-260. doi: 10.1016/j.jaad.2024.09.051

Remote cutaneous confocal microscopy: A multicentric prospective study evaluating diagnostic accuracy for melanoma and keratinocyte carcinoma in tertiary settings

2025

Journal Article

Assessing spatial sequencing and imaging approaches to capture the molecular and pathological heterogeneity of archived cancer tissues

Vo, Tuan, Prakrithi, P., Jones, Kahli, Yoon, Sohye, Lam, Pui Yeng, Kao, Yung-Ching, Ma, Ning, Tan, Samuel X., Jin, Xinnan, Zhou, Chenhao, Crawford, Joanna, Walters, Shaun, Gupta, Ishaan, Soyer, Peter H., Khosrotehrani, Kiarash, Stark, Mitchell S. and Nguyen, Quan (2025). Assessing spatial sequencing and imaging approaches to capture the molecular and pathological heterogeneity of archived cancer tissues. Journal of Pathology, 265 (3), 274-288. doi: 10.1002/path.6383

Assessing spatial sequencing and imaging approaches to capture the molecular and pathological heterogeneity of archived cancer tissues

2025

Conference Publication

Unlocking the black box: how explainable artificial intelligence enhances skin cancer detection

Lenoir, C., Ferrera, N., Puig, S., Soyer, P., Primiero, C., Podlipnik, S., Carrera, C., Serra, L., iToBoS Consortium and Malvehy, J. (2025). Unlocking the black box: how explainable artificial intelligence enhances skin cancer detection. 21st EADO Congress & 11th World Congress of Melanoma, Athens, Greece, 3-5 April 2025. London, United Kingdom: Elsevier. doi: 10.1016/j.ejcskn.2025.100436

Unlocking the black box: how explainable artificial intelligence enhances skin cancer detection

2025

Journal Article

Uncovering molecular mechanisms for amelanotic/hypopigmented primary cutaneous melanoma

Sturm, Richard A., Smit, Darren J., Duffy, David L., McLean, Catriona, Scolyer, Richard A., McArthur, Grant A., Papenfuss, Anthony T., Stark, Mitchell S., Soyer, H. Peter and Mar, Victoria J. (2025). Uncovering molecular mechanisms for amelanotic/hypopigmented primary cutaneous melanoma. British Journal of Dermatology, 192 (1), 55-62. doi: 10.1093/bjd/ljae336

Uncovering molecular mechanisms for amelanotic/hypopigmented primary cutaneous melanoma

2025

Journal Article

International Skin Imaging Collaboration‐Designated Diagnoses (ISIC‐DX): Consensus terminology for lesion diagnostic labeling

Scope, Alon, Liopyris, Konstantinos, Weber, Jochen, Barnhill, Raymond L., Braun, Ralph P., Curiel‐Lewandrowski, Clara N., Elder, David E., Ferrara, Gerardo, Grant‐Kels, Jane M., Jeunon, Thiago, Lallas, Aimilios, Lin, Jennifer Y., Marchetti, Michael A., Marghoob, Ashfaq A., Navarrete‐Dechent, Cristian, Pellacani, Giovanni, Soyer, Hans Peter, Stratigos, Alexander, Thomas, Luc, Kittler, Harald, Rotemberg, Veronica and Halpern, Allan C. (2025). International Skin Imaging Collaboration‐Designated Diagnoses (ISIC‐DX): Consensus terminology for lesion diagnostic labeling. Journal of the European Academy of Dermatology and Venereology, 39 (1), 117-125. doi: 10.1111/jdv.20055

International Skin Imaging Collaboration‐Designated Diagnoses (ISIC‐DX): Consensus terminology for lesion diagnostic labeling

2025

Conference Publication

Mainstreaming melanoma genetic testing: Participant outcomes comparable when testing is provided by dermatologists and genetic counsellors

McInerney-Leo, A., DeBortoli, E., Primiero, C., Wallingford, C., Berkman, J., Yanes, T., Finnane, A. and Soyer, H.P. (2025). Mainstreaming melanoma genetic testing: Participant outcomes comparable when testing is provided by dermatologists and genetic counsellors. 21st EADO Congress & 11th World Congress of Melanoma, Athens, Greece, 3-5 April 2025. London, United Kingdom: Elsevier. doi: 10.1016/j.ejcskn.2025.100505

Mainstreaming melanoma genetic testing: Participant outcomes comparable when testing is provided by dermatologists and genetic counsellors

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