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2022 Journal Article Generalisability of deep learning models trained on standardised and non-standardised images: retrospective comparative studyOloruntoba, Ibukun, Vestergaard, Tine, Nguyen, Toan D, Yu, Zhen, Sashindranath, Maithili, Betz-Stablein, Brigid, Soyer, H. Peter, Ge, Zongyuan and Mar, Victoria (2022). Generalisability of deep learning models trained on standardised and non-standardised images: retrospective comparative study. JMIR Dermatology, 5 (3) e35150, e35150. doi: 10.2196/35150 |
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2022 Journal Article Do we need to rethink the diagnoses melanoma in situ and severely dysplastic naevus?Semsarian, Caitlin R., Ma, Tara, Nickel, Brooke, Scolyer, Richard A., Ferguson, Peter M., Soyer, H. Peter, Parker, Lisa, Barratt, Alexandra, Thompson, John F. and Bell, Katy J.L. (2022). Do we need to rethink the diagnoses melanoma in situ and severely dysplastic naevus?. British Journal of Dermatology, 186 (6), 1030-1032. doi: 10.1111/bjd.21010 |
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2021 Journal Article Can patient-led surveillance detect subsequent new primary or recurrent melanomas and reduce the need for routinely scheduled follow-up? A protocol for the MEL-SELF randomised controlled trialAckermann, Deonna M., Smit, Amelia K., Janda, Monika, van Kemenade, Cathelijne H., Dieng, Mbathio, Morton, Rachael L., Turner, Robin M., Cust, Anne E., Irwig, Les, Hersch, Jolyn K., Guitera, Pascale, Soyer, H. Peter, Mar, Victoria, Saw, Robyn P. M., Low, Donald, Low, Cynthia, Drabarek, Dorothy, Espinoza, David, Emery, Jon, Murchie, Peter, Thompson, John F., Scolyer, Richard A., Azzi, Anthony, Lilleyman, Alister and Bell, Katy J. L. (2021). Can patient-led surveillance detect subsequent new primary or recurrent melanomas and reduce the need for routinely scheduled follow-up? A protocol for the MEL-SELF randomised controlled trial. Trials, 22 (1) 324. doi: 10.1186/s13063-021-05231-7 |
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2021 Journal Article Publisher Correction: Author Correction: A patient-centric dataset of images and metadata for identifying melanomas using clinical context (Scientific Data, (2021), 8, 1, (81), 10.1038/s41597-021-00865-3)Rotemberg, Veronica, Kurtansky, Nicholas, Betz-Stablein, Brigid, Caffery, Liam, Chousakos, Emmanouil, Codella, Noel, Combalia, Marc, Dusza, Stephen, Guitera, Pascale, Gutman, David, Halpern, Allan, Helba, Brian, Kittler, Harald, Kose, Kivanc, Langer, Steve, Lioprys, Konstantinos, Malvehy, Josep, Musthaq, Shenara, Nanda, Jabpani, Reiter, Ofer, Shih, George, Stratigos, Alexander, Tschandl, Philipp, Weber, Jochen and Soyer, H. Peter (2021). Publisher Correction: Author Correction: A patient-centric dataset of images and metadata for identifying melanomas using clinical context (Scientific Data, (2021), 8, 1, (81), 10.1038/s41597-021-00865-3). Scientific Data, 8 (1) 88, 88. doi: 10.1038/s41597-021-00879-x |
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2021 Journal Article A survey of clinicians on the use of artificial intelligence in ophthalmology, dermatology, radiology and radiation oncologyScheetz, Jane, Rothschild, Philip, McGuinness, Myra, Hadoux, Xavier, Soyer, H. Peter, Janda, Monika, Condon, James J.J., Oakden-Rayner, Luke, Palmer, Lyle J., Keel, Stuart and van Wijngaarden, Peter (2021). A survey of clinicians on the use of artificial intelligence in ophthalmology, dermatology, radiology and radiation oncology. Scientific Reports, 11 (1) 5193, 5193. doi: 10.1038/s41598-021-84698-5 |
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2021 Journal Article An Australian tertiary hospital analysis of outpatient dermatology clinical and demographic characteristicsEdwards, Harrison A., Betz‐Stablein, Brigid, Finnane, Anna, Shen, Xiaohua, Soyer, Hans Peter and Hall, Lisa (2021). An Australian tertiary hospital analysis of outpatient dermatology clinical and demographic characteristics. Australasian Journal of Dermatology, 62 (4), e488-e495. doi: 10.1111/ajd.13677 |
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2021 Journal Article Editorial: Progress and prospects on skin imaging technology, teledermatology and artificial intelligence in dermatologyLi, Chengxu, Mun, Je-Ho, Pasquali, Paola, Li, Hang, Soyer, H. Peter and Cui, Yong (2021). Editorial: Progress and prospects on skin imaging technology, teledermatology and artificial intelligence in dermatology. Frontiers in Medicine, 8 757538, 757538. doi: 10.3389/fmed.2021.757538 |
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2021 Journal Article Association between melanoma detected during routine skin checks and mortalityWatts, Caroline G., McLoughlin, Kirstie, Goumas, Chris, Van Kemenade, Cathelijne H., Aitken, Joanne F., Soyer, H. Peter, Fernandez Peñas, Pablo, Guitera, Pascale, Scolyer, Richard A., Morton, Rachael L., Menzies, Scott W., Caruana, Michael, Kang, Yoon Jung, Mann, Graham J., Chakera, Annette H., Madronio, Christine M., Armstrong, Bruce K., Thompson, John F. and Cust, Anne E. (2021). Association between melanoma detected during routine skin checks and mortality. JAMA Dermatology, 157 (12), 1425-1436. doi: 10.1001/jamadermatol.2021.3884 |
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2021 Journal Article Subtype specific analyses reveal infiltrative basal cell carcinoma are highly interactive with their environmentVillani, Rehan, Murigneux, Valentine, Alexis, Josue, Sim, Seen-Ling, Wagels, Michael, Saunders, Nicholas, Soyer, H. Peter, Parmentier, Laurent, Nikolaev, Sergey, Fink, J. Lynn, Roy, Edwige and Khosrotehrani, Kiarash (2021). Subtype specific analyses reveal infiltrative basal cell carcinoma are highly interactive with their environment. The Journal of Investigative Dermatology, 141 (10), 2380-2390. doi: 10.1016/j.jid.2021.02.760 |
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2021 Journal Article Skin cancer classification via convolutional neural networks: systematic review of studies involving human expertsHaggenmüller, Sarah, Maron, Roman C., Hekler, Achim, Utikal, Jochen S., Barata, Catarina, Barnhill, Raymond L., Beltraminelli, Helmut, Berking, Carola, Betz-Stablein, Brigid, Blum, Andreas, Braun, Stephan A., Carr, Richard, Combalia, Marc, Fernandez-Figueras, Maria-Teresa, Ferrara, Gerardo, Fraitag, Sylvie, French, Lars E., Gellrich, Frank F., Ghoreschi, Kamran, Goebeler, Matthias, Guitera, Pascale, Haenssle, Holger A., Haferkamp, Sebastian, Heinzerling, Lucie, Heppt, Markus V., Hilke, Franz J., Hobelsberger, Sarah, Krahl, Dieter, Kutzner, Heinz ... Brinker, Titus J. (2021). Skin cancer classification via convolutional neural networks: systematic review of studies involving human experts. European Journal of Cancer, 156, 202-216. doi: 10.1016/j.ejca.2021.06.049 |
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2021 Journal Article Comparative performance of predictors of death from thin (≤1.0 mm) melanomaClaeson, M., Baade, P., Marchetti, M., Brown, S., Soyer, H.P., Smithers, B.M., Green, A.C., Whiteman, D.C. and Khosrotehrani, K. (2021). Comparative performance of predictors of death from thin (≤1.0 mm) melanoma. British Journal of Dermatology, 185 (4) bjd.20480, 849-851. doi: 10.1111/bjd.20480 |
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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 A first-in-human study of BLZ-100 (tozuleristide) demonstrates tolerability and safety in skin cancer patientsYamada, Miko, Miller, Dennis M., Lowe, Melinda, Rowe, Casey, Wood, Dominic, Soyer, H. Peter, Byrnes-Blake, Kelly, Parrish-Novak, Julia, Ishak, Laura, Olson, James M., Brandt, Gordon, Griffin, Paul, Spelman, Lynda and Prow, Tarl W. (2021). A first-in-human study of BLZ-100 (tozuleristide) demonstrates tolerability and safety in skin cancer patients. Contemporary Clinical Trials Communications, 23 100830, 1-6. doi: 10.1016/j.conctc.2021.100830 |
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2021 Journal Article Optimizing texting interventions for melanoma prevention and early detection: a Latin square crossover RCTHorsham, Caitlin, Baade, Peter, Kou, Kou, O'Hara, Montana, Sinclair, Craig, Loescher, Lois J., Soyer, H. Peter and Janda, Monika (2021). Optimizing texting interventions for melanoma prevention and early detection: a Latin square crossover RCT. American Journal of Preventive Medicine, 61 (3), 348-356. doi: 10.1016/j.amepre.2021.03.024 |
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2021 Journal Article Consumer preference and willingness to pay for direct-to-consumer mobile teledermoscopy services in AustraliaSnoswell, Centaine L., Whitty, Jennifer A., Caffery, Liam J., Kho, Joanna, Horsham, Caitlin, Loescher, Lois J., Vagenas, Dimitrios, Gillespie, Nicole, Soyer, H. Peter and Janda, Monika (2021). Consumer preference and willingness to pay for direct-to-consumer mobile teledermoscopy services in Australia. Dermatology, 238 (2), 1-10. doi: 10.1159/000517257 |
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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 |
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2021 Journal Article The impact of SARS-CoV-2 (COVID-19) pandemic on international dermatology conferences in 2020Ha, Eun Seo, Hong, Ji Yeon, Lim, Sophie Soyeon, Soyer, H. Peter and Mun, Je-Ho (2021). The impact of SARS-CoV-2 (COVID-19) pandemic on international dermatology conferences in 2020. Frontiers in Medicine, 8 726037, 726037. doi: 10.3389/fmed.2021.726037 |
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2021 Journal Article Towards data-driven quantification of skin ageing using reflectance confocal microscopyHames, Samuel C., Bradley, Andrew P., Ardigo, Marco, Soyer, H. Peter and Prow, Tarl W. (2021). Towards data-driven quantification of skin ageing using reflectance confocal microscopy. International Journal of Cosmetic Science, 43 (4), 466-473. doi: 10.1111/ics.12720 |
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2021 Journal Article Describing the skin surface ecosystem using 3D total body photographyJanda, Monika and Soyer, H. Peter (2021). Describing the skin surface ecosystem using 3D total body photography. Dermatology, 238 (1), 1-3. doi: 10.1159/000515147 |
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2021 Journal Article An integrated microfluidic‐SERS platform enables sensitive phenotyping of serum extracellular vesicles in early stage melanomasWang, Jing, Kao, Yung‐Ching, Zhou, Quan, Wuethrich, Alain, Stark, Mitchell S., Schaider, Helmut, Soyer, H. Peter, Lin, Lynlee L. and Trau, Matt (2021). An integrated microfluidic‐SERS platform enables sensitive phenotyping of serum extracellular vesicles in early stage melanomas. Advanced Functional Materials, 32 (3) 2010296, 1-9. doi: 10.1002/adfm.202010296 |
