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Journal of the European Academy of Dermatology and Venereology : JEADV
|
January 25, 2023
Analysis of dermoscopic changes of blue nevi on digital follow-up: A 21-year retrospective cohort study
Francesc Alamon-Reig, Marc Combalia, Raquel Albero-González, et al.
The British Journal of Dermatology
|
June 14, 2022
Common genetic variants associated with melanoma risk or naevus count in patients with wildtype MC1R melanoma
Neus Calbet-Llopart, Marc Combalia, Anil Kiroglu, et al.
Nature Communications
|
November 18, 2025
Multimodal AI and tumour microenvironment integration predicts metastasis in cutaneous melanoma
Tom W Andrew, Marc Combalia, Carlos Hernandez, et al.
Scientific Data
|
June 17, 2024
BCN20000: Dermoscopic Lesions in the Wild
Carlos Hernández-Pérez, Marc Combalia, Sebastian Podlipnik, et al.
Pigment Cell & Melanoma Research
|
December 20, 2020
Influence of germline genetic variants on dermoscopic features of melanoma
Flavia Carolina Pozzobon, Gemma Tell-Marti, Neus Calbet-Llopart, et al.
Journal of the European Academy of Dermatology and Venereology : JEADV
|
December 9, 2024
Effect of patient-contextual skin images in human- and artificial intelligence-based diagnosis of melanoma: Results from the 2020 SIIM-ISIC melanoma classification challenge
Nicholas R Kurtansky, Clare A Primiero, Brigid Betz-Stablein, et al.
The Lancet. Digital Health
|
April 24, 2022
Validation of artificial intelligence prediction models for skin cancer diagnosis using dermoscopy images: the 2019 International Skin Imaging Collaboration Grand Challenge
Marc Combalia, Noel Codella, Veronica Rotemberg, et al.
Biomedical Optics Express
|
July 5, 2021
Deep learning automated pathology in ex vivo microscopy
Marc Combalia, Sergio Garcia, Josep Malvehy, et al.
JAMA Dermatology
|
December 1, 2021
Checklist for Evaluation of Image-Based Artificial Intelligence Reports in Dermatology: CLEAR Derm Consensus Guidelines From the International Skin Imaging Collaboration Artificial Intelligence Working Group
Roxana Daneshjou, Catarina Barata, Brigid Betz-Stablein, et al.
Journal of the European Academy of Dermatology and Venereology : JEADV
|
September 28, 2023
Position statement of the EADV Artificial Intelligence (AI) Task Force on AI-assisted smartphone apps and web-based services for skin disease
Tobias E Sangers, Harald Kittler, Andreas Blum, et al.
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Showing results (1-10 of 15) with videos related to
Sort By:
Page
of 2
Journal of the European Academy of Dermatology and Venereology : JEADV
|
January 25, 2023
Analysis of dermoscopic changes of blue nevi on digital follow-up: A 21-year retrospective cohort study
Francesc Alamon-Reig, Marc Combalia, Raquel Albero-González, et al.
The British Journal of Dermatology
|
June 14, 2022
Common genetic variants associated with melanoma risk or naevus count in patients with wildtype MC1R melanoma
Neus Calbet-Llopart, Marc Combalia, Anil Kiroglu, et al.
Nature Communications
|
November 18, 2025
Multimodal AI and tumour microenvironment integration predicts metastasis in cutaneous melanoma
Tom W Andrew, Marc Combalia, Carlos Hernandez, et al.
Scientific Data
|
June 17, 2024
BCN20000: Dermoscopic Lesions in the Wild
Carlos Hernández-Pérez, Marc Combalia, Sebastian Podlipnik, et al.
Pigment Cell & Melanoma Research
|
December 20, 2020
Influence of germline genetic variants on dermoscopic features of melanoma
Flavia Carolina Pozzobon, Gemma Tell-Marti, Neus Calbet-Llopart, et al.
Journal of the European Academy of Dermatology and Venereology : JEADV
|
December 9, 2024
Effect of patient-contextual skin images in human- and artificial intelligence-based diagnosis of melanoma: Results from the 2020 SIIM-ISIC melanoma classification challenge
Nicholas R Kurtansky, Clare A Primiero, Brigid Betz-Stablein, et al.
The Lancet. Digital Health
|
April 24, 2022
Validation of artificial intelligence prediction models for skin cancer diagnosis using dermoscopy images: the 2019 International Skin Imaging Collaboration Grand Challenge
Marc Combalia, Noel Codella, Veronica Rotemberg, et al.
Biomedical Optics Express
|
July 5, 2021
Deep learning automated pathology in ex vivo microscopy
Marc Combalia, Sergio Garcia, Josep Malvehy, et al.
JAMA Dermatology
|
December 1, 2021
Checklist for Evaluation of Image-Based Artificial Intelligence Reports in Dermatology: CLEAR Derm Consensus Guidelines From the International Skin Imaging Collaboration Artificial Intelligence Working Group
Roxana Daneshjou, Catarina Barata, Brigid Betz-Stablein, et al.
Journal of the European Academy of Dermatology and Venereology : JEADV
|
September 28, 2023
Position statement of the EADV Artificial Intelligence (AI) Task Force on AI-assisted smartphone apps and web-based services for skin disease
Tobias E Sangers, Harald Kittler, Andreas Blum, et al.
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of 2