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- ScalpEye: A Deep Learning-Based Scalp Hair Inspection and Diagnosis System for Scalp Health
- Hair Follicle Classification and Hair Loss Severity Estimation Using Mask R-CNN
- AB-MTEDeep Classifier Trained with AAGAN for the Identification and Classification of Alopecia Areata
- Quantitative analysis and development of alopecia areata classification frameworks
- Diagnosis of Scalp Disorders using Machine Learning and Deep Learning Approach -- A Review
- Hair & Scalp Disease Detection Using Machine Learning & Image Processing
- Optimized polycystic ovarian disease prognosis and classification using AI based computational approaches on multi-modality data
- Repurposing DPP4-Inhibition to Improve Hair Follicle Activation and Regeneration
- Relevance of topical application of minoxidil laden nano-lipid for hair growth enhancement
- Skin image analysis for detection and quantitative assessment of dermatitis, vitiligo and alopecia areata lesions: a systematic literature review
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