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Research 61–90 of 1000+
- Trichoscopy and Computational Models for Hair and Scalp Disorders: Image Analysis, Quantification, and Clinical Integration
- Hair color digitization through imaging and deep inverse graphics
- Predictive Modeling of Hair Fall using Random Forest Algorithms
- A Quantitative Measurement Method for Nuclear-Pleomorphism Scoring in Breast Cancer
- MSF-VMDNet for multi class segmentation of skin cancer whole slide images using a multi frequency dual encoder network
- Hair and scalp disease detection using deep learning
- Deep Clustering via Center-Oriented Margin Free-Triplet Loss for Skin Lesion Detection in Highly Imbalanced Datasets
- Machine learning predicts scarring progression in lichen planopilaris: A multidimensional model integrating trichoscopy, vitamin D, and diagnostic timelines
- Amplitude-guided deep reinforcement learning for semi-supervised layer segmentation
- Ewha Medical Journal’s inclusion in PubMed Central and PubMed, and artificial intelligence and guidelines in this issue
- Methods of Transfer Learning for Multiclass Hair Disease Categorization
- DETECTION OF HAIR FALL AND SCALP DISORDERS THROUGH ML AND IMAGE PROCESSING
- Early prediction of alopecia areata using machine learning modeling of neuro stress immune signatures from multi datasets
- PandaOmics: An AI-Driven Platform for Therapeutic Target and Biomarker Discovery
- Past, present, and future of global research on artificial intelligence applications in dermatology: A bibliometric analysis
- Efficient integration of human skin single-cell RNA sequencing data
- Skin image analysis for detection and quantitative assessment of dermatitis, vitiligo and alopecia areata lesions: a systematic literature review
- Knowledge Mapping of Drug Repositioning’s Theme and Development
- Deep Hair Phenomics: Implications in Endocrinology, Development, and Aging
- Data-Driven Machine-Learning Methods for Diabetes Risk Prediction
- A Machine Learning-Based Scalp Hair Inspection and Diagnosis System for Scalp Health
- A Hybrid Transfer Learning Approach Using Obesity Data for Predicting Cardiovascular Diseases Incorporating Lifestyle Factors
- A machine learning approach for non-invasive PCOS diagnosis from ultrasound and clinical features
- Optimized polycystic ovarian disease prognosis and classification using AI based computational approaches on multi-modality data
- Serum-Based Assessment of Alopecia Areata Response to Treatment Using ATR-FTIR Spectroscopy
- LEVERAGING MACHINE LEARNING METHODS IN PREDICTING AND ANALYZING THE ASSOCIATION BETWEEN DIETARY INFLAMMATORY INDEX AND ALOPECIA
- Classification Framework for Healthy Hairs and Alopecia Areata: A Machine Learning (ML) Approach
- Machine learning for nanozyme development in anti‐inflammatory applications
- 3D organotypic skin models recapitulate autoantibody-driven pemphigus pathomechanisms and targeted therapeutic response
- The Hair Cell Analysis Toolbox: A machine learning-based whole cochlea analysis pipeline