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- Trichoscopy and Computational Models for Hair and Scalp Disorders: Image Analysis, Quantification, and Clinical Integration
- Deep Learning-based Trichoscopic Image Analysis and Quantitative Model for Predicting Basic and Specific Classification in Male Androgenetic Alopecia
- Objective Hair Shaft Diameter Measurement From Trichoscopic Images Using Intensity Profile Analysis
- Automated digital image analysis (TrichoScan) in male patients with androgenetic alopecia; comparison with manual marking of hairs on trichoscopic images
- Analysis of trichoscopic images using deep neural networks for the diagnosis and activity assessment of alopecia areata – a retrospective study
- Epidemiological, Clinical, and Trichoscopic Features of Syphilitic Alopecia: A Retrospective Analysis and Systematic Review
- Automated Trichoscopic Analysis for Hair Disorder Classification Using Semantic Segmentation
- Genetic and Environmental Factors Affecting Hair Density in East Asian Populations
- Comparative Analysis of Trichoscopic Features in Women with Androgenetic Alopecia and Telogen Effluvium
- Artificial Intelligence in Trichoscopy: From Image Classification to Longitudinal Quantitative Hair Phenotyping - A Clinical-Technical Perspective and Validation Roadmap
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