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- Pre-trained classification of scalp conditions using image processing
- Prediction of Alopecia Areata using CNN
- Hair Disease Classification Using Convolutional Neural Network (CNN) Algorithm with VGG-16 Architecture
- Using morphological operators and inpainting for hair removal in dermoscopic images
- Multi-Class Support Vector Machine Classification for Detecting Alopecia Areata and Scalp Diseases
- Publicly Available Large Language Models for Trichoscopy: A Head-to-Head Comparison with Dermatologists
- Automated quantitative analysis of coat and skin coloration in laboratory animals
- Application of 3D Reflectance Confocal Microscopy: Melanocytic Proliferations as 3D Models; JAAD Supplemental Material
- Optimized VGG19 Architecture for Precise and Efficient Multi-Class Hair Disease Classification
- BaldPredict: AI-Driven Prediction Model for Alopecia Areata
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- Community progress images being misused for marketing snake oil on instagram. Images attached.
- Struggling with Balding at 21: Seeking Advice on Implants and Self-Image
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