Publications

(2022). Determining the clinical applicability of machine learning models through assessment of reporting across skin phototypes and rarer skin cancer types: A systematic review. Journal of the European Academy of Dermatology & Venereology.

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

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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.

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(2022). Data-driven research on eczema: systematic characterization of the field and recommendations for the future. Clinical and Translational Allergy.

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(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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(2019). Human and computational models of atopic dermatitis: A review and perspectives by an expert panel of the International Eczema Council. Journal of Allergy and Clinical Immunology.

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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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(2018). Model Predictive Control for Designing Proactive Therapy of Atopic Dermatitis. 2018 European Control Conference (ECC).

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(2018). Bifurcation analysis of a mathematical model of atopic dermatitis to determine patient-specific effects of treatments on dynamic phenotypes. Journal of Theoretical Biology.

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(2017). Diffuse bifurcations engraving diverse shear bands in granular materials. International Journal for Numerical and Analytical Methods in Geomechanics.

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(2017). Mathematical modeling of atopic dermatitis reveals “double-switch” mechanisms underlying 4 common disease phenotypes. Journal of Allergy and Clinical Immunology.

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(2017). Distributing tasks via multiple input pathways increases cellular survival in stress. eLife.

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(2017). Mathematical modeling of $\mathit{Streptococcus}$ $\mathit{pneumoniae}$ colonization, invasive infection and treatment. Frontiers in Physiology.

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(2017). Computational design of treatment strategies for proactive therapy on atopic dermatitis using optimal control theory. Philosophical transactions. Series A, Mathematical, physical, and engineering sciences.

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(2016). Epidermal cell turnover across tight junctions based on Kelvin's tetrakaidecahedron cell shape. eLife.

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(2016). Synergistic activation of RD29A via integration of salinity stress and abscisic acid in arabidopsis thaliana. Plant and Cell Physiology.

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(2016). Water resistance profile as a marker of skin barrier damage in atopic dermatitis patients. Journal of Dermatological Science.

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(2015). In silico modeling of spore inhalation reveals fungal persistence following low dose exposure. Scientific Reports.

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(2015). Resistance to water diffusion in the stratum corneum is depth-dependent. PLoS ONE.

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(2014). Dynamic optimisation for fly gaze stabilisation based on noisy and delayed sensor information. 2014 European Control Conference.

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(2013). Skin disease modeling from a mathematical perspective. Journal of Investigative Dermatology.

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(2013). Risk factor-dependent dynamics of atopic dermatitis: Modelling multi-scale regulation of epithelium homeostasis. Interface Focus.

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(2013). Closed-loop response properties of a visual interneuron involved in fly optomotor control. Frontiers in Neural Circuits.

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(2012). Modelling the influence of foot-and-mouth disease vaccine antigen stability and dose on the bovine immune response. PLoS ONE.

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(2012). Static versus adaptive gain control strategy for visuo-motor stabilization. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).

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(2011). Closed-loop performance of a proportional controller for visual stabilization using a fly-robot interface. 2011 IEEE International Conference on Robotics and Biomimetics.

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(2011). Skin barrier Homeostasis in atopic dermatitis: Feedback regulation of kallikrein activity. PLoS ONE.

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(2011). Interplay between feedback and feedforward control in fly gaze stabilization. IFAC Proceedings Volumes.

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(2009). Compound control - adaptation to multiple environmental changes. Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference, pages 6183-6188.

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(2008). Mathematical classification of regulatory logics for compound environmental changes. Journal of Theoretical Biology.

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(2007). Stochastic approach to molecular interactions and computational theory of metabolic and genetic regulations. Journal of Theoretical Biology.

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(2006). Mathematical Description of Gene Regulatory Units. Biophysical Journal.

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(2005). Highly optimised global organisation of metabolic networks. IEE Proceedings - Systems Biology.

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(2005). The “robust yet fragile” nature of the Internet. Proceedings of the National Academy of Sciences.

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(2005). Some protein interaction data do not exhibit power law statistics. FEBS Letters.

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(2005). Scale-Rich Metabolic Networks. Physical Review Letters.

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