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Research 31–60 of 1000+
- Classifications of patterned hair loss: a review
- Classification of male-pattern hair loss
- Rethinking pattern hair loss classification in the era of trichoscopy and artificial intelligence
- The Cohen hair loss classification system
- 8 Pathogenesis and Classification of Female Pattern Hair Loss
- Development of a Classification System for Extrinsic Hair Damage: Standard Grading of Electron Microscopic Findings of Damaged Hairs
- A New Universal Follicular Unit Excision Classification System for Hair Transplantation Difficulty and Patient Outcome
- Relationship of Hair Regrowth Pattern in Alopecia Areata Patches According to DIMT Classification with Treatment Modalities and Patch Size: A Retrospective Cross-Sectional Analysis
- PRECISE Scale: a quantitative classification for androgenetic alopecia and its application to hair transplantation
- Harnessing Deep Learning for Scalp and Hair Disease Classification: A Comparative Study of Convolutional Neural Networks Architectures
- Depth control in follicular unit excision: A new classification from a detailed analysis of 30 patients undergoing FUE technique for hair restoration
- The Adapted Classification of Male Pattern Hair Loss Improves Reliability
- Hair transplantation in women: A practical new classification system and review of technique
- Artificial Intelligence in Trichoscopy: From Image Classification to Longitudinal Quantitative Hair Phenotyping - A Clinical-Technical Perspective and Validation Roadmap
- Artificial Intelligence in Trichoscopy: From Image Classification to Longitudinal Quantitative Hair Phenotyping - A Clinical-Technical Perspective and Validation Roadmap
- Research Progress in Composition, Classification and Influencing Factors of Hair
- Integrating Biomarkers from Correlation Analysis and Metric Learning for Hair Loss Classification
- Multicentre External Testing of an AI-Assisted Trichoscopy System: Scalp Disorder Classification and Quantitative Hair Phenotyping - Protocol and Statistical Analysis Plan
- Multicentre External Testing of an AI-Assisted Trichoscopy System: Scalp Disorder Classification and Quantitative Hair Phenotyping - Protocol and Statistical Analysis Plan
- A Hybrid Deep Learning System for Automatic Detection of Scalp Diseases and Hair Fall Stage Classification
- Advancing Hair Disease Diagnostics: A Deep Learning Approach Using Inception-ResNet v2 for Multi-Class Classification
- Human hair morphology: a scanning electron microscopy study on a male Caucasoid and a computerized classification of regional differences.
- Dose‐response of human follicles during laser‐based hair removal: <i>Ex vivo</i> photoepilation model with classification system embracing morphological and histological features
- Deep Learning-Powered Hair Disease Diagnosis: A ResNet50 Approach for Scalable and Accurate Classification
- Platelet‐rich plasma in hair loss—Mechanism, preparation, and classification
- Significant relationship between temporal hair loss and other scalp areas in female pattern hair loss
- Hair India 2010
- Patient Selection, Hair Transplant Design, and Hairstyle
- Alopecia classifications
- Hair diameter diversity: a clinical sign reflecting the follicle miniaturization.