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- ScalpEye: A Deep Learning-Based Scalp Hair Inspection and Diagnosis System for Scalp Health
- FRCNN based Deep Learning for Identification and Classification of Alopecia Areata
- Ensemble of pre-learned deep learning model and an optimized LSTM for Alopecia Areata classification
- Predicting Hair Loss with AI: A Deep Learning Framework Combining Genetic and Scalp Health Data
- Artificial Intelligence Deep Learning Ultrasound Discrimination of Cosmetic Fillers
- Deep Learning Approaches for Hair Disease Classification: A Comparative Analysis of MobileNetV2 and VGG19 Architectures
- Hair and scalp disease detection using deep learning
- Diagnosis of Scalp Disorders using Machine Learning and Deep Learning Approach -- A Review
- Deep Learning-Based Dermatological Condition Detection: A Systematic Review With Recent Methods, Datasets, Challenges, and Future Directions
- Automated measurement of hair density and projected apparent width via deep learning–based phototrichogram analysis
- BaldGraphFormer: An Explainable Deep Learning Framework for Early Baldness Prediction by Integrating Swin Transformer, Graph Attention Networks and Clinical Features
- Scalp Disease Detection Using Deep Learning: A Hybrid Ensemble Approach with EfficientNetB0, DenseNet121 and MobileNetV2
- A Hybrid Deep Learning System for Automatic Detection of Scalp Diseases and Hair Fall Stage Classification
- Severity Prediction of Hair Loss in Alopecia Areata with Hybrid Deep Learning Architecture
- Automated early detection of androgenetic alopecia using deep learning on trichoscopic images from a Korean cohort: a retrospective model development and validation study
- Automated early detection of androgenetic alopecia using deep learning on trichoscopic images from a Korean cohort: a retrospective model development and validation study
- Deep Learning-Powered Hair Disease Diagnosis: A ResNet50 Approach for Scalable and Accurate Classification
- HairLossMultinet: A Multi Scale Feature Fusion Method Using Deep Learning Approach
- Enhanced Hair Disease Classification Using Deep Learning
- Scalp Disorder Imaging: How Deep Learning and Explainable Artificial Intelligence are Revolutionizing Diagnosis and Treatment
- Investigating Different Deep learning Models for Classification of Folliculitis
- Attention Balanced Multi-Dimension Multi-Task Deep Learning for Alopecia Recognition
- Deep Learning-based Automatic System for Diagnosis and Classification of Skin Dermatoses
- An Approach to Detect Alopecia Areata Hair Disease Using Deep Learning
- Deep Learning Based Non-Invasive Framework for Nutritional Deficiency Detection Using Hair and Nail Images
- Deep Learning-based Trichoscopic Image Analysis and Quantitative Model for Predicting Basic and Specific Classification in Male Androgenetic Alopecia
- DEEP REINFORCEMENT LEARNING FOR SCALABLE CONTROL OF BOOLEAN MODELS IN THE CONTEXT OF CELLULAR REPROGRAMMING
- Harnessing Deep Learning for Scalp and Hair Disease Classification: A Comparative Study of Convolutional Neural Networks Architectures
- PEDL-XAI: A Hybrid Probabilistic Ensemble Deep Learning Approach for Hair Disorder Diagnosis
- A DEEP LEARNING APPROACH FOR DIAGNOSIS OF COVID-19 INFECTION AND ITS RELATED FACTORS: A POPULATION-BASED STUDY