Research, tools, and resources
Work in artificial intelligence focuses on evaluating clinical image-analysis methods for dermatology. Work in psychology focuses on making complex models and neuroanatomy easier to explore.
Discipline 01
Research on deep learning and computer vision in dermatology, including studies of automatic severity scoring, image quality assessment, and diagnostic support, conducted with colleagues at Legit.Health.
ORCID 0000-0001-5583-5273Selected papers
A study of automated erythema, induration, desquamation, and lesion-area assessment for psoriasis severity scoring.
Read publicationA study introducing an automatic Urticaria Activity Score based on deep-learning hive detection and counting.
Read publicationJournal articles, meeting abstracts, and scientific conference presentations.
A novel AI tool for automatic acne severity assessment, evaluated against dermatologists using the IGA and GAGS clinical scales.
Read publicationA July 2026 meeting abstract on an AI-driven approach to Vitiligo Area Scoring Index assessment.
Read publicationA multireader multicase study found that Legit.Health improved clinician diagnostic accuracy for generalized pustular psoriasis by 22.97%.
Read publicationA cross-domain image-quality study combining dermatology and general-purpose datasets to improve robustness with limited clinical data.
Read publicationAn artificial-intelligence system for automatically assessing hidradenitis suppurativa severity with performance comparable to expert assessment.
Read publicationA validation-set study of a neural network that predicted perceived quality scores for dermatology images.
Read publicationA retrospective pilot study of automated atopic-dermatitis sign and lesion-area assessment from clinical images.
Read publicationResults from validating a deep-learning algorithm for melanoma diagnosis. Presentation delivered in Spanish.
Read publicationDeep-learning algorithm for optimising the triage and referral of patients with skin conditions. Presentation delivered in Spanish.
Read publicationAutomatic urticaria scoring using artificial intelligence for precise hive counting. Presentation delivered in Spanish.
Read publicationDiscipline 02
Interactive resources for exploring neuroanatomy, built to keep complex material legible and useful while preserving links to source literature.
An interactive 3D atlas of the human brain. Explore individual structures and functional networks, then follow each deep link into concise notes on function, connections, clinical correlates, and source literature.
Private by design
Validated psychometric questionnaires for personality, anxiety, work engagement, and more. Calculations run locally in your browser; responses are neither stored nor sent to a server.
HEXACO Personality Inventory measuring honesty-humility, emotionality, extraversion, agreeableness, conscientiousness, and openness.
State-Trait Anxiety Inventory assessing anxiety as a present state and as a general tendency.
Utrecht Work Engagement Scale measuring work engagement through vigour, dedication, and absorption.
Geriatric Depression Scale, a short screening questionnaire for depressive symptoms.
Conceptualisations of Psychological Maturity, assessing implicit theories about psychological maturity.
Questionnaire measuring personality traits related to psychological maturity.
A short questionnaire for assessing responsibility.