Overview
Background
Dr Brigid Betz-Stablein is a Postdoctoral Research Fellow based at based at Dermatology Research Centre at the Diamentina Institute. She completed her PhD in Biostatistics in 2014 at Massey University, New Zealand. Prior appointments include a postdoctoral fellowship at QIMR Berghofer, and firstly as a Postdoctoral Fellow and Statistical Consultant at University of New South Wales Sydney. Broadly her research interests lie in applying statistical methods to clinical and medical data. Currently she has an interest in applying artificial intelligence (AI) models to dermatology image data. Dr Betz-Stablein is a member of the International Skin Imaging Colaboration AI working group and the European Academy of Dermatology and Venerology AI task force.
Availability
- Dr Brigid Betz-Stablein is:
- Available for supervision
Qualifications
- Bachelor of Science, Massey University
- Bachelor (Honours) of Science (Advanced), Massey University
- Doctor of Philosophy, Massey University
Research impacts
Naevi, commonly known as moles, are the strongest risk factor of melanoma, and additionally can be precursor lesions to melanomas. There is currently little knowledge of how naevi change over time with very few longitudinal studies in the general population. Dr Brigid Betz-Stablein applies her statistical expertise to support a multi-disciplinary team within the Centre of Research Excellence for the Study of Naevi. The CRE for the Study of Naevi has access to the only VECTRA Whole Body 360, outside the United States. Multiple cameras take simultaneous images which are then stitched together creating a 3D body avatar. Spatial-temporal models will be developed to describe the distribution of naevi across the 3D body surface, as well as how naevi changeover time.
Works
Search Professor Brigid Betz-Stablein’s works on UQ eSpace
2024
Journal Article
The SLICE-3D dataset: 400,000 skin lesion image crops extracted from 3D TBP for skin cancer detection
Kurtansky, Nicholas R., D’Alessandro, Brian M., Gillis, Maura C., Betz-Stablein, Brigid, Cerminara, Sara E., Garcia, Rafael, Girundi, Marcela Alves, Goessinger, Elisabeth Victoria, Gottfrois, Philippe, Guitera, Pascale, Halpern, Allan C., Jakrot, Valerie, Kittler, Harald, Kose, Kivanc, Liopyris, Konstantinos, Malvehy, Josep, Mar, Victoria J., Martin, Linda K., Mathew, Thomas, Maul, Lara Valeska, Mothershaw, Adam, Mueller, Alina M., Mueller, Christoph, Navarini, Alexander A., Rajeswaran, Tarlia, Rajeswaran, Vin, Saha, Anup, Sashindranath, Maithili, Serra-García, Laura ... Rotemberg, Veronica (2024). The SLICE-3D dataset: 400,000 skin lesion image crops extracted from 3D TBP for skin cancer detection. Scientific Data, 11 (1) 884, 884. doi: 10.1038/s41597-024-03743-w
2024
Journal Article
Diversifying dermatology: Improving skin of colour representation
Susanto, Alyssa, Nathan, Vaishnavi, Janda, Monika, Khosrotehrani, Kiarash, McMeniman, Erin, Soyer, H. Peter and Betz‐Stablein, Brigid (2024). Diversifying dermatology: Improving skin of colour representation. Australasian Journal of Dermatology. doi: 10.1111/ajd.14356
2024
Journal Article
POT1 and multiple primary melanomas: the dermatological phenotype
Maas, Ellie J., DeBortoli, Emily, Nathan, Vaishnavi, Freeman, Ned P., Mothershaw, Adam, Smit, Darren J., Betz-Stablein, Brigid, Aoude, Lauren G., Stark, Mitchell S., Sturm, Richard A., Soyer, H. Peter and McInerney-Leo, Aideen M. (2024). POT1 and multiple primary melanomas: the dermatological phenotype. Journal of Medical Genetics, 61 (9) jmg-2023-109637, 1-4. doi: 10.1136/jmg-2023-109637
2024
Journal Article
Automated Detection of Pigmented Iris Freckles using a Deep Neural Network for Cutaneous Melanoma Risk
Naranpanawa, Nathasha, Jayasinghe, Dilki, Sturm, Richard A., Betz-Stablein, Brigid, Janda, Monika, Eriksson, Anders, Soyer, H. Peter and Chandra, Shekhar S. (2024). Automated Detection of Pigmented Iris Freckles using a Deep Neural Network for Cutaneous Melanoma Risk. Journal of Investigative Dermatology. doi: 10.1016/j.jid.2024.04.029
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. doi: 10.3389/fmed.2024.1380984
2024
Journal Article
Re: Incidence of in situ vs invasive melanoma: testing the "obligate precursor" hypothesis
Kahler, Sam, Janda, Monika, Soyer, H. Peter and Betz-Stablein, Brigid (2024). Re: Incidence of in situ vs invasive melanoma: testing the "obligate precursor" hypothesis. Jnci-Journal of the National Cancer Institute, 116 (4), 1-3. doi: 10.1093/jnci/djae006
2024
Journal Article
A systematic review of changes in melanocytic naevi during immune checkpoint inhibition and targeted therapy
Bruijn, T.V.M., Dinh, S.T., Elshot, Y.S., van der Mierden, S., Soyer, P.H., Olsen, C.M., Betz-Stablein, B., Bekkenk, M.W., Rustemeyer, T. and Plasmeijer, E.I. (2024). A systematic review of changes in melanocytic naevi during immune checkpoint inhibition and targeted therapy. EJC Skin Cancer, 2 100144, 100144. doi: 10.1016/j.ejcskn.2024.100144
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
Journal Article
Overdiagnosis in melanoma screening: is it a real problem?
Betz-Stablein, Brigid and Soyer, H. Peter (2023). Overdiagnosis in melanoma screening: is it a real problem?. Dermatology Practical and Conceptual, 13 (4) e2023247, 1-3. doi: 10.5826/dpc.1304a247
2023
Journal Article
MITF E318K: A rare homozygous case with multiple primary melanoma
Wallingford, Courtney K., Maas, Ellie J., Howard, Antonia, DeBortoli, Emily, Bhanja, Deboshmita, Lee, Katie, Mothershaw, Adam, Jagirdar, Kasturee, Willett, Rod, Betz‐Stablein, Brigid, Sturm, Richard A., Soyer, H. Peter and McInerney‐Leo, Aideen M. (2023). MITF E318K: A rare homozygous case with multiple primary melanoma. Pigment Cell & Melanoma Research, 37 (1), 68-73. doi: 10.1111/pcmr.13122
2023
Journal Article
Artificial intelligence for the classification of pigmented skin lesions in populations with skin of colour: A systematic review
Liu, Yuyang, Primiero, Clare A., Kulkarni, Vishnutheertha, Soyer, H. Peter and Betz-Stablein, Brigid (2023). Artificial intelligence for the classification of pigmented skin lesions in populations with skin of colour: A systematic review. Dermatology, 239 (4), 499-513. doi: 10.1159/000530225
2023
Journal Article
Improving artificial intelligence based diagnosis on pediatric lesions
Mehta, Paras P., Sun, Mary, Betz-Stablein, Brigid, Halpern, Allan, Soyer, H. Peter, Weber, Jochen, Kose, Kivanc and Rotemberg, Veronica (2023). Improving artificial intelligence based diagnosis on pediatric lesions. Journal of Investigative Dermatology, 143 (8), 1423-1429.e1. doi: 10.1016/j.jid.2022.08.058
2023
Journal Article
GOLM1: expanding our understanding of melanoma susceptibility
Maas, Ellie J., Wallingford, Courtney K., DeBortoli, Emily, Smit, Darren J., Betz-Stablein, Brigid, Aoude, Lauren G., Stark, Mitchell S., Sturm, Richard A., Soyer, H. Peter and McInerney-Leo, Aideen M. (2023). GOLM1: expanding our understanding of melanoma susceptibility. Journal of Medical Genetics, 60 (9) jmg-2023-109348, 1-3. doi: 10.1136/jmg-2023-109348
2023
Journal Article
The MC1R r allele does not increase melanoma risk in MITF E318K carriers
Wallingford, Courtney K., Demeshko, Anastassia, Krishnakripa, Asha Krishnankutty, Smit, Darren J., Duffy, David L., Betz-Stablein, Brigid, Pflugfelder, Annette, Jagirdar, Kasturee, Holland, Elizabeth, Mann, Graham J., Primiero, Clare A., Yanes, Tatiane, Malvehy, Josep, Badenas, Cèlia, Carrera, Cristina, Aguilera, Paula, Olsen, Catherine M., Ward, Sarah V., Haass, Nikolas K., Sturm, Richard A., Puig, Susanna, Whiteman, David C., Law, Matthew H., Cust, Anne E., Potrony, Miriam, Soyer, H. Peter and McInerney-Leo, Aideen M. (2023). The MC1R r allele does not increase melanoma risk in MITF E318K carriers. British Journal of Dermatology, 188 (6), 770-776. doi: 10.1093/bjd/ljad041
2023
Journal Article
Spatial Randomness in the distribution of acquired melanocytic naevi of the back in a population-based sample
Jayasinghe, Dilki, Betz-Stablein, Brigid, Stark, Mitchell S., Soyer, H. Peter and Janda, Monika (2023). Spatial Randomness in the distribution of acquired melanocytic naevi of the back in a population-based sample. The Journal of Investigative Dermatology, 143 (6), 1108-1111.e3. doi: 10.1016/j.jid.2022.11.013
2023
Conference Publication
Unusual suspects in hereditary melanoma: POT1, POLE and BAP1
Maas, Ellie, Betz-Stablein, Brigid, Aoude, Lauren, Soyer, Hans Peter and McInerney-Leo, Aideen (2023). Unusual suspects in hereditary melanoma: POT1, POLE and BAP1. 55th European Society of Human Genetics (ESHG) Conference, Vienna, Austria, 11-14 June 2022. London, United Kingdom: Nature Publishing Group.
2023
Conference Publication
Identification of naevi changes in high-risk patients using sequential 3D total body photography technology and automated algorithms
Flores, Deborah Toledo, Betz-Stablein, Brigid and Soyer, Peter (2023). Identification of naevi changes in high-risk patients using sequential 3D total body photography technology and automated algorithms. HOBOKEN: WILEY.
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
2023
Journal Article
Three‐dimensional multispectral facial imaging to monitor actinic damage treated with 5‐fluorouracil
Torrano, Joachim, Hishon, Matt, Robinson, Mitchell, Raphael, Anthony, Wu, Jason, Betz‐Stablein, Brigid, Kopera, Daisy, Soyer, Hans Peter and Schaider, Helmut (2023). Three‐dimensional multispectral facial imaging to monitor actinic damage treated with 5‐fluorouracil. JEADV Clinical Practice, 2 (2), 273-281. doi: 10.1002/jvc2.122
Supervision
Availability
- Dr Brigid Betz-Stablein is:
- Available for supervision
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Supervision history
Current supervision
-
Master Philosophy
Multiple Primary Melanoma: Defining phenotypic, behavioural, and genetic risk profile for invasive versus in situ lesions
Principal Advisor
Other advisors: Professor Peter Soyer, Dr Tatiane Yanes
-
Doctor Philosophy
Spatial molecular profiling of melanoma and correlation with dermoscopic patterns
Associate Advisor
Other advisors: Dr Harald Oey, Professor Peter Soyer, Dr Mitchell Stark
-
Master Philosophy
Understanding the mechanisms for increased mortality risk for pregnancy-associated melanoma.
Associate Advisor
Other advisors: Ms Laura Sormani Le Bourhis, Professor Kiarash Khosrotehrani
-
Doctor Philosophy
The genomic architecture of suspicious lesions and skin in photodamaged and non-photodamaged areas (PhotoMelanoma)
Associate Advisor
Other advisors: Dr Quan Nguyen, Professor Peter Soyer, Dr Mitchell Stark
-
Doctor Philosophy
Unusual suspects in hereditary melanoma: phenotype-genotype characterisation of POT1, POLE, BAP1 and CDKN2A carriers
Associate Advisor
Other advisors: Professor Peter Soyer, Associate Professor Aideen McInerney-Leo
-
Doctor Philosophy
Automated Detection and Classification of Suspicious Naevi in Dermoscopy Images Through Artificial Intelligence
Associate Advisor
Other advisors: Professor Peter Soyer, Professor Monika Janda, Dr Shakes Chandra
-
Doctor Philosophy
Towards Analysis of Contextual Melanoma Indicators and Identification of Total-Body Ugly Duckling Lesions with Deep Neural Networks
Associate Advisor
Other advisors: Dr Mahsa Baktashmotlagh, Dr Shakes Chandra
-
Doctor Philosophy
Artificial Intelligence Tools for Automated Melanoma Risk Assessment: Potential Utility and Validation
Associate Advisor
Other advisors: Associate Professor Aideen McInerney-Leo, Professor Peter Soyer
Completed supervision
-
2023
Doctor Philosophy
Statistical Modelling of the Natural History and Spatial Distribution of Naevi using 3D Total-Body Photography
Associate Advisor
Other advisors: Professor Peter Soyer, Professor Monika Janda
-
2022
Doctor Philosophy
Keratinocyte cancer in kidney transplant recipients in Queensland
Associate Advisor
Other advisors: Dr Kyoko Miura
Media
Enquiries
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