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- ScalpEye: A Deep Learning-Based Scalp Hair Inspection and Diagnosis System for Scalp Health
- Hair cluster detection model based on dermoscopic images
- From Diagnosis to Prognosis: A Scoping Review of Artificial Intelligence in Alopecia Research
- A Feature-Preserving Hair Removal Algorithm for Dermoscopy Images
- A Comparative Analysis of Large Language Model Accuracy for Image-Based Hair Disease Identification in Diverse Skin Tones
- Deep Learning Based Non-Invasive Framework for Nutritional Deficiency Detection Using Hair and Nail Images
- Research on hair removal algorithm of dermatoscopic images based on maximum variance fuzzy clustering and optimization Criminisi algorithm
- An Analysis of Alopecia Areata Classification Framework for Human Hair Loss Based on VGG-SVM Approach
- Hair and scalp disease detection using deep learning
- Deep Learning-Based Dermatological Condition Detection: A Systematic Review With Recent Methods, Datasets, Challenges, and Future Directions
- Detection of Meibomian Gland Dysfunction by in vivo Confocal Microscopy Based on Deep Convolutional Neural Network
- SnapshotDx Quiz: September 2016
- Prediction of Alopecia Areata using CNN
- Enhanced stratification of male pattern hair loss using AI through novel loss region ratio analysis
- Automated Trichoscopic Analysis for Hair Disorder Classification Using Semantic Segmentation
- Hair Disease Classification Using Convolutional Neural Network (CNN) Algorithm with VGG-16 Architecture
- Dermacen Analytica: A Novel Methodology Integrating Multi-Modal Large Language Models with Machine Learning in tele-dermatology
- Skin image analysis for detection and quantitative assessment of dermatitis, vitiligo and alopecia areata lesions: a systematic literature review
- FRCNN based Deep Learning for Identification and Classification of Alopecia Areata
- Optimized polycystic ovarian disease prognosis and classification using AI based computational approaches on multi-modality data
- SnapshotDx Quiz: November 2017
- Flow-guided hair removal for automated skin lesion identification
- Hair & Scalp Disease Detection Using Machine Learning & Image Processing
- An Automatic AI‐Based Algorithm That Grades the Scalp Surface Exfoliating Process From Video Imaging. Application to Dandruff Severity and Its Validation on Subjects of Different Ages and Ethnicities
- Trichoscopy of Alopecia Areata: Hair Loss Feature Extraction and Computation Using Grid Line Selection and Eigenvalue
- Usefulness of high-frequency ultrasonography in the assessment of alopecia areata – comparison of ultrasound images with trichoscopic images
- Establishment and validation of a hair fall atlas for Chinese men based on trichoscopy
- Revolutionizing Hair Fall Analysis: The Advanced Precipitation U-Net Model
- BaldPredict: AI-Driven Prediction Model for Alopecia Areata
- Videodermoscopy Scalp Psoriasis Severity Index (VSCAPSI): A useful tool for evaluation of scalp psoriasis