Publications

(2022). Reliable detection of eczema areas for fully automated assessment of eczema severity from digital camera images. MedRxiv.

DOI

(2022). Evolution of Eczema, Wheeze and Rhinitis from Infancy to Early Adulthood: Four Birth Cohort Studies. American Journal of Respiratory and Critical Care Medicine.

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(2022). EczemaPred: A computational framework for personalised prediction of eczema severity dynamics. Clinical and Translational Allergy.

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(2022). Detecting eczema areas in digital images: an impossible task?. JID Innovations.

Cite Code DOI MedRxiv

(2022). Can serum biomarkers predict the outcome of systemic immunosuppressive therapy in adult atopic dermatitis patients?. Skin and Health Disease.

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(2021). Impact of environmental factors in predicting daily severity scores of atopic dermatitis. Clinical and Translational Allergy.

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(2021). Immunoinflammatory Biomarkers in Serum Are Associated with Disease Severity in Atopic Dermatitis. Dermatology.

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(2021). Stratum corneum markers of innate and T helper cell-related immunity and their relation to the disease severity in Croatian patients with atopic dermatitis. Journal of the European Academy of Dermatology & Venereology.

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(2020). EczemaNet: Automating Detection and Severity Assessment of Atopic Dermatitis. MLMI: International Workshop on Machine Learning in Medical Imaging.

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(2020). miRNA analysis of Childhood Atopic Dermatitis reveals a role for miR-451a. British Journal of Dermatology.

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(2020). Personalised prediction of daily eczema severity scores using a mechanistic machine learning model. Clinical & Experimental Allergy.

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(2019). Systemic and stratum corneum biomarkers of severity in infant AD include markers of innate and Th-related immunity and angiogenesis. British Journal of Dermatology.

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(2018). Relationship and probabilistic stratification of EASI and oSCORAD severity scores for atopic dermatitis. British Journal of Dermatology.

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