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- Automated early detection of androgenetic alopecia using deep learning on trichoscopic images from a Korean cohort: a retrospective model development and validation study
- Ensemble of pre-learned deep learning model and an optimized LSTM for Alopecia Areata classification
- Complex Hair Cycle Domain Patterns and Regenerative Hair Waves in Living Rodents
- A Novel Fusion Technique for Early Detection of Alopecia Areata Using ResNet-50 and CRSHOG
- Hair Growth is Promoted in Mouse Dorsal Skin by a Mixture of <i>Platycladus orientalis</i> (L.) Franco Leaf Extract and Alpha-Terpineol by Increasing Growth Factors and wnt3/β-Catenin
- Interventions for morphea
- ScalpEye: A Deep Learning-Based Scalp Hair Inspection and Diagnosis System for Scalp Health
- Quantitative analysis and development of alopecia areata classification frameworks
- Leveraging deep neural networks to uncover unprecedented levels of precision in the diagnosis of hair and scalp disorders
- Rejuvenation by Design: Building Cosmetic Products with Extracellular Vesicle Technology, the Example of Exo.Reset®
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