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2025

Journal Article

Prevalence of high-risk melanoma variants in early-onset and/or multiple primary melanoma in an Australian cohort

Maas, Ellie J., Wallingford, Courtney K,, De Bortoli, Emily, Primiero, Clare, Freeman, Ned P., Smit, Darren J., Lee, Katie J., Jagirdar, Kasturee, McMeniman, Erin, Betz-Stablein, Brigid, Stark, Mitchell S., Sturm, Richard A., Soyer, H. Peter and McInerney-Leo, Aideen (2025). Prevalence of high-risk melanoma variants in early-onset and/or multiple primary melanoma in an Australian cohort. Journal of the European Academy of Dermatology and Venereology: JEADV, 39 (11) e950, 1-6. doi: 10.1111/jdv.20673

Prevalence of high-risk melanoma variants in early-onset and/or multiple primary melanoma in an Australian cohort

2025

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 (2025). 3D-total body photography identifies cutaneous phenotypes associated with late-onset invasive melanoma risk. British Journal of Dermatology ljaf440. doi: 10.1093/bjd/ljaf440

3D-total body photography identifies cutaneous phenotypes associated with late-onset invasive melanoma risk

2025

Journal Article

Automating skin colour assessment using <scp>3D</scp> 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 (2025). Automating skin colour assessment using 3D total‐body photography: A proof‐of‐concept study. Journal of the European Academy of Dermatology and Venereology jdv.70146. doi: 10.1111/jdv.70146

Automating skin colour assessment using <scp>3D</scp> total‐body photography: A proof‐of‐concept study

2025

Journal Article

A longitudinal dataset of tile and corresponding dermoscopic images with metadata for identifying skin cancers

Ghahari, Nima, Caffery, Liam, Betz-Stablein, Brigid, Mothershaw, Adam, Jayasinghe, Dilki, Primiero, Clare, Chandra, Shekhar S., Torrano, Joachim, Soyer, H. Peter and Janda, Monika (2025). A longitudinal dataset of tile and corresponding dermoscopic images with metadata for identifying skin cancers. Scientific Data, 12 (1) 1602, 1602-1. doi: 10.1038/s41597-025-05880-2

A longitudinal dataset of tile and corresponding dermoscopic images with metadata for identifying skin cancers

2025

Journal Article

Three-dimensional total body photography enables automated obesity-related comorbidity screening in dermatology

Susanto, Alyssa, Kahler, Sam, Dulanjala Sewwandi, M. A. Nayomi, Mothershaw, Adam, Goldinger, Simone M., Mar, Victoria, Janda, Monika, Soyer, H.Peter and Primiero, Clare (2025). Three-dimensional total body photography enables automated obesity-related comorbidity screening in dermatology. Journal of Investigative Dermatology. doi: 10.1016/j.jid.2025.09.001

Three-dimensional total body photography enables automated obesity-related comorbidity screening in dermatology

2025

Journal Article

Germline <scp><i>CDKN2A</i></scp> Variant Cascade Testing Across Four Generations Reveals Familial Melanoma–Breast Cancer Genotype–Phenotype Correlation

Berkman, Jennifer, Maas, Ellie J., DeBortoli, E., Primiero, Clare A., Soyer, H. Peter and McInerney‐Leo, Aideen (2025). Germline CDKN2A Variant Cascade Testing Across Four Generations Reveals Familial Melanoma–Breast Cancer Genotype–Phenotype Correlation. Pigment Cell & Melanoma Research, 38 (5) e70055, e70055. doi: 10.1111/pcmr.70055

Germline <scp><i>CDKN2A</i></scp> Variant Cascade Testing Across Four Generations Reveals Familial Melanoma–Breast Cancer Genotype–Phenotype Correlation

2025

Journal Article

Skin region images extracted from 3D total body photographs for lesion detection

Saha, Anup, Adeola, Joseph, Ferrera, Nuria, Mothershaw, Adam, Rezze, Gisele, Gaborit, Séraphin, D’Alessandro, Brian, Voskanyan, Robert, Szabó, Gyula, Pataki, Balázs, Rajani, Hayat, Nazari, Sana, Hayat, Hassan, Serra-García, Laura, Primiero, Clare, Bonin, Serena, Zalaudek, Iris, Soyer, H. Peter, Malvehy, Josep and Garcia, Rafael (2025). Skin region images extracted from 3D total body photographs for lesion detection. Scientific Data, 12 (1) 1442, 1-11. doi: 10.1038/s41597-025-05483-x

Skin region images extracted from 3D total body photographs for lesion detection

2025

Journal Article

Effect of patient‐contextual skin images in human‐ and artificial intelligence‐based diagnosis of melanoma: results from the 2020 SIIM‐ISIC melanoma classification challenge

Kurtansky, Nicholas R., Primiero, Clare A., Betz‐Stablein, Brigid, Combalia, Marc, Guitera, Pascale, Halpern, Allan, Kentley, Jonathan, Kittler, Harald, Liopyris, Konstantinos, Malvehy, Josep, Rinner, Christoph, Tschandl, Philipp, Weber, Jochen, Rotemberg, Veronica and Soyer, H. Peter (2025). Effect of patient‐contextual skin images in human‐ and artificial intelligence‐based diagnosis of melanoma: results from the 2020 SIIM‐ISIC melanoma classification challenge. Journal of the European Academy of Dermatology and Venereology, 39 (8), 1489-1499. doi: 10.1111/jdv.20479

Effect of patient‐contextual skin images in human‐ and artificial intelligence‐based diagnosis of melanoma: results from the 2020 SIIM‐ISIC melanoma classification challenge

2025

Journal Article

Unpredictable interdependence of invasive and in situ melanoma

Kahler, Sam, Primiero, Clare, Jayasinghe, Dilki, Mothershaw, Adam, Janda, Monika, Betz-Stablein, Brigid, Soyer, H. Peter and McInerney-Leo, Aideen (2025). Unpredictable interdependence of invasive and in situ melanoma. British Journal of Dermatology, 193 (4) ljaf235, 782-784. doi: 10.1093/bjd/ljaf235

Unpredictable interdependence of invasive and in situ melanoma

2025

Journal Article

A multimodal vision foundation model for clinical dermatology

Yan, Siyuan, Yu, Zhen, Primiero, Clare, Vico-Alonso, Cristina, Wang, Zhonghua, Yang, Litao, Tschandl, Philipp, Hu, Ming, Ju, Lie, Tan, Gin, Tang, Vincent, Ng, Aik Beng, Powell, David, Bonnington, Paul, See, Simon, Magnaterra, Elisabetta, Ferguson, Peter, Nguyen, Jennifer, Guitera, Pascale, Banuls, Jose, Janda, Monika, Mar, Victoria, Kittler, Harald, Soyer, H. Peter and Ge, Zongyuan (2025). A multimodal vision foundation model for clinical dermatology. Nature Medicine, 31 (8), 1-12. doi: 10.1038/s41591-025-03747-y

A multimodal vision foundation model for clinical dermatology

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

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

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

Multi‐task AI models in dermatology: Overcoming critical clinical translation challenges for enhanced skin lesion diagnosis

Mehta, Deval, Primiero, Clare, Betz‐Stablein, Brigid, Nguyen, Toan D., Gal, Yaniv, Bowling, Adrian, Haskett, Martin, Sashindranath, Maithili, Bonnington, Paul, Mar, Victoria, Soyer, H. Peter and Ge, Zongyuan (2025). Multi‐task AI models in dermatology: Overcoming critical clinical translation challenges for enhanced skin lesion diagnosis. Journal of the European Academy of Dermatology and Venereology. doi: 10.1111/jdv.20551

Multi‐task AI models in dermatology: Overcoming critical clinical translation challenges for enhanced skin lesion diagnosis

2025

Journal Article

Evaluating an approach for communicating integrated risk scores for melanoma

Wallingford, Courtney K., Mothershaw, Adam, Primiero, Clare, Clinch, Tenielle, Dawson, Tamara, Ingold, Nathan, Soyer, H. Peter, Law, Matthew H., McInerney-Leo, Aideen and Yanes, Tatiane (2025). Evaluating an approach for communicating integrated risk scores for melanoma. European Journal of Human Genetics, 33 (4), 523-530. doi: 10.1038/s41431-024-01750-4

Evaluating an approach for communicating integrated risk scores for melanoma

2025

Journal Article

Skin 2.0: How cutaneous digital twins could reshape dermatology

Primiero, Clare A., Janda, Monika and Soyer, H. Peter (2025). Skin 2.0: How cutaneous digital twins could reshape dermatology. Journal of Investigative Dermatology, 145 (1), 18-21. doi: 10.1016/j.jid.2024.07.011

Skin 2.0: How cutaneous digital twins could reshape dermatology

2024

Journal Article

Development and validation of a total body photo‐numeric freckling density scale

Susinna, Mirko, Mothershaw, Adam, Ghahari, Nima, Kahler, Sam, Primiero, Clare, Dillon, Harpal, Fischer, Catherine, Janda, Monika, Soyer, H. Peter and Betz‐Stablein, Brigid (2024). Development and validation of a total body photo‐numeric freckling density scale. Skin Research and Technology, 30 (10) e70081, 1-4. doi: 10.1111/srt.70081

Development and validation of a total body photo‐numeric freckling density scale

2024

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 (2024). 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

2024

Journal Article

A narrative review: opportunities and challenges in artificial intelligence skin image analyses using total body photography

Primiero, Clare A., Rezze, Gisele Gargantini, Caffery, Liam J., Carrera, Cristina, Podlipnik, Sebastian, Espinosa, Natalia, Puig, Susana, Janda, Monika, Soyer, H. Peter and Malvehy, Josep (2024). A narrative review: opportunities and challenges in artificial intelligence skin image analyses using total body photography. Journal of Investigative Dermatology, 144 (6), 1200-1207. doi: 10.1016/j.jid.2023.11.007

A narrative review: opportunities and challenges in artificial intelligence skin image analyses using total body photography

2024

Journal Article

A protocol for annotation of total body photography for machine learning to analyze skin phenotype and lesion classification

Primiero, Clare A., Betz-Stablein, Brigid, Ascott, Nathan, D’Alessandro, Brian, Gaborit, Seraphin, Fricker, Paul, Goldsteen, Abigail, González-Villà, Sandra, Lee, Katie, Nazari, Sana, Nguyen, Hang, Ntouskos, Valsamis, Pahde, Frederik, Pataki, Balázs E., Quintana, Josep, Puig, Susana, Rezze, Gisele G., Garcia, Rafael, Soyer, H. Peter and Malvehy, Josep (2024). A protocol for annotation of total body photography for machine learning to analyze skin phenotype and lesion classification. Frontiers in Medicine, 11 1380984, 1-14. doi: 10.3389/fmed.2024.1380984

A protocol for annotation of total body photography for machine learning to analyze skin phenotype and lesion classification