Dr Brigid Betz-Stablein
Dr

Brigid Betz-Stablein

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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.

Search Professor Brigid Betz-Stablein’s works on UQ eSpace

70 works between 2013 and 2024
All (70) Journal Article (63) Conference Publication (7)

1 - 20 of 70 works

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

The SLICE-3D dataset: 400,000 skin lesion image crops extracted from 3D TBP for skin cancer detection

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, 65 (7), e208-e210. doi: 10.1111/ajd.14356

Diversifying dermatology: Improving skin of colour representation

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

POT1 and multiple primary melanomas: the dermatological phenotype

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, 144 (11), 2602-2605.e4. doi: 10.1016/j.jid.2024.04.029

Automated Detection of Pigmented Iris Freckles using a Deep Neural Network for Cutaneous Melanoma Risk

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

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

Re: Incidence of in situ vs invasive melanoma: testing the "obligate precursor" hypothesis

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

A systematic review of changes in melanocytic naevi during immune checkpoint inhibition and targeted therapy

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

Suspicious naevi classification using auxiliary classifier generative adversarial network

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

Overdiagnosis in melanoma screening: is it a real problem?

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

MITF E318K: A rare homozygous case with multiple primary melanoma

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

Artificial intelligence for the classification of pigmented skin lesions in populations with skin of colour: A systematic review

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

Improving artificial intelligence based diagnosis on pediatric lesions

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

GOLM1: expanding our understanding of melanoma susceptibility

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

The MC1R r allele does not increase melanoma risk in MITF E318K carriers

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

Spatial Randomness in the distribution of acquired melanocytic naevi of the back in a population-based sample

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.

Unusual suspects in hereditary melanoma: POT1, POLE and BAP1

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

203 Automated skin surface phenotype for melanoma risk assessment

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.

Identification of naevi changes in high-risk patients using sequential 3D total body photography technology and automated algorithms

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.

Automated photodamage assessment from 3D total body photography for an objective assessment of melanoma risk

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

Three‐dimensional multispectral facial imaging to monitor actinic damage treated with 5‐fluorouracil

Availability

Dr Brigid Betz-Stablein is:
Available for supervision

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Supervision history

Current supervision

Completed supervision

Enquiries

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