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Research 211–240 of 1000+
- Developmental Regulation of Prion Expression in Cattle and Mouse Embryonic Stem Cells
- Regenerative Biology and Medicine
- The in vitro plasticity of hair follicle dermal and mesenchymal stem cells
- Human Hair Derived Keratins Mediate Schwann Cell Behavior in vitro and Facilitate Rapid Peripheral Nerve Regeneration in vivo
- The hair in childhood and old age
- 857 Human hair follicle regeneration with trichogenic human dermal papilla precursor cells derived from induced pluripotent stem cells
- Homing of stem cells to sites of inflammatory brain injury after intracerebral and intravenous administration: a longitudinal imaging study
- Deep Clustering via Center-Oriented Margin Free-Triplet Loss for Skin Lesion Detection in Highly Imbalanced Datasets
- Botulinum Toxin Off-Label Use in Dermatology: A Review
- Generation and characterization of hair-bearing skin organoids from human pluripotent stem cells
- Prediction of Alopecia Areata using CNN
- Trichoscopy of Alopecia Areata: Hair Loss Feature Extraction and Computation Using Grid Line Selection and Eigenvalue
- Ensemble of pre-learned deep learning model and an optimized LSTM for Alopecia Areata classification
- Sensitive Scalp and Trichodynia: Epidemiology, Etiopathogenesis, Diagnosis, and Management
- Hair & Scalp Disease Detection Using Machine Learning & Image Processing
- Lineage‐specific requirements of Alx4 function in craniofacial and hair development
- Hair Tone Estimation at Roots via Imaging Device with Embedded Deep Learning
- SNP variation in male pattern hair loss in Russians with different dihydrotestosterone levels
- Quantitative analysis and development of alopecia areata classification frameworks
- A Novel Fusion Technique for Early Detection of Alopecia Areata Using ResNet-50 and CRSHOG
- Hair and scalp disease detection using deep learning
- Diagnosis of Scalp Disorders using Machine Learning and Deep Learning Approach -- A Review
- Automating Hair Loss Labels for Universally Scoring Alopecia From Images
- 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
- Vitadetect : Vitamin Deficiency Detection
- PEDL-XAI: A Hybrid Probabilistic Ensemble Deep Learning Approach for Hair Disorder Diagnosis
- Trichoscopy and Computational Models for Hair and Scalp Disorders: Image Analysis, Quantification, and Clinical Integration
- Deep Learning Based Non-Invasive Framework for Nutritional Deficiency Detection Using Hair and Nail Images