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Research 30
- Scalp Disease Detection Using Deep Learning: A Hybrid Ensemble Approach with EfficientNetB0, DenseNet121 and MobileNetV2
- Classification of Visually Similar Scalp Diseases using Deep Learning: A Hybrid CNN-VIT Approach with Cross-Attention Fusion
- Classification of Visually Similar Scalp Diseases using Deep Learning: A Hybrid CNN-VIT Approach with Cross-Attention Fusion
- Classification of Visually Similar Scalp Diseases using Deep Learning: A Hybrid CNN-VIT Approach with Cross-Attention Fusion
- Analyse trichoskopischer Bilder mit tiefen neuronalen Netzen zur Diagnose und Aktivitätsbewertung von Alopecia areata – eine retrospektive Studie
- BaldGraphFormer: An Explainable Deep Learning Framework for Early Baldness Prediction by Integrating Swin Transformer, Graph Attention Networks and Clinical Features
- Deep Clustering via Center-Oriented Margin Free-Triplet Loss for Skin Lesion Detection in Highly Imbalanced Datasets
- Using artificial intelligence to compute Severity of Alopecia Tool scores
- A Study on the Development of a Web Platform for Scalp Diagnosis Using EfficientNet
- Automated Classification of Male and Female Pattern Hair Loss Stages Using EfficientNet According to the Hamilton-Norwood and Ludwig Scale
- Evaluation of Automated Measurement of Hair Density Using Deep Neural Networks
- A Hybrid Deep Learning System for Automatic Detection of Scalp Diseases and Hair Fall Stage Classification
- Enhanced stratification of male pattern hair loss using AI through novel loss region ratio analysis
- Harnessing Deep Learning for Scalp and Hair Disease Classification: A Comparative Study of Convolutional Neural Networks Architectures
- Diagnosis of Scalp Disorders using Machine Learning and Deep Learning Approach -- A Review
- Hair cluster detection model based on dermoscopic images
- Scalp Disorder Imaging: How Deep Learning and Explainable Artificial Intelligence are Revolutionizing Diagnosis and Treatment
- Quantitative analysis and development of alopecia areata classification frameworks
- Nutraceuticals for Healthy Skin Aging
- Skin image analysis for detection and quantitative assessment of dermatitis, vitiligo and alopecia areata lesions: a systematic literature review
- Editorial: Progress and Prospects on Skin Imaging Technology, Teledermatology and Artificial Intelligence in Dermatology
- Leveraging deep neural networks to uncover unprecedented levels of precision in the diagnosis of hair and scalp disorders
- Trichoscopy and Computational Models for Hair and Scalp Disorders: Image Analysis, Quantification, and Clinical Integration
- Artificial Intelligence in Non-Surgical Cosmetic Procedures: A Multi-Stakeholder Revolution
- From Diagnosis to Prognosis: A Scoping Review of Artificial Intelligence in Alopecia Research
- Placental Extracts, Proteins, and Hydrolyzed Proteins as Active Ingredients in Cosmetic Preparations for Hair Loss: A Systematic Review of Available Clinical Evidence
- KEBOT: An Artificial Intelligence Based Comprehensive Analysis System for FUE Based Hair Transplantation
- Hair Follicle Classification and Hair Loss Severity Estimation Using Mask R-CNN
- Multi-omics and AI-driven advances in miRNA-mediated hair follicle regulation in cashmere goats
- Inflammatory Signatures and Biological Markers in Platelet-Rich Plasma Therapy for Hair Regrowth: A Comprehensive Narrative Analysis