research Simulation Guided Hair Dynamics Modeling from Video
The method improves hair animation from video by combining image techniques and simulations.
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research Marking the recipient sites in hair restoration surgery - new methodology to attain symmetric density
A new method using gentian violet and a protective spray can improve symmetry and reduce surgery time in hair restoration, but it's only effective for total hair loss, not diffuse hair loss or follow-up treatments.
research rwSALT: a regrowth-weighted SALT score providing direct pixel-level measurement rather than visual estimation
rwSALT provides precise hair regrowth measurement from scalp photos.
research Gap junctions in Turing-type periodic feather pattern formation
Gap junctions help control feather pattern formation in chickens.
research Photoacoustic Imaging as a Tool for Assessing Hair Follicular Organization
Photoacoustic imaging can accurately assess hair follicle density and orientation for hair transplant planning.
research An Automated Approach Towards Digital Photo-Trichogram for Hair Fall Diagnosis
Researchers developed a computer system to automatically diagnose hair loss by analyzing scalp images.
research Computing Your Ideal Haircut Routine
The ideal haircut routine can be determined using a model based on hair growth and regular haircuts.
research A Segmental Approach to Scoring Hair Density from Global Images: Introducing the Scalp Coverage Scoring Method for Clinical Trials and Practice
The Scalp Coverage Scoring method reliably measures hair density from images.
research The Trichoscopy Derived Sinclair Scale: Enhancing visual assessment through quantitative trichoscopy
The Trichoscopy Derived Sinclair Scale offers a more accurate and reliable way to measure hair loss severity than the traditional visual method.
research Quantitative analysis and development of alopecia areata classification frameworks
A new algorithm effectively classifies Alopecia Areata, aiding early detection and treatment.
research An Innovative Scalp-Dyeing Technique with Gentian Violet Solution During Follicular Unit Extraction for White-Haired Follicular Units
A new method using gentian violet dye makes it easier to see and work with white hair in hair transplant surgeries.
research Quantitative Evaluation of Female Pattern Hair Loss in Chinese Women
Computer-aided imaging system accurately measures baldness in Chinese women with hair loss.
research Hair Tone Estimation at Roots via Imaging Device with Embedded Deep Learning
The device accurately estimates natural hair color at the roots in real time.
research Hair and scalp disease detection using deep learning
Deep learning can effectively detect hair and scalp diseases early.
research Elliptical Donor Stereoscopically Assisted Micrografting as an Approach to Further Refinement in Hair Transplantation
This hair transplant method improves cosmetic results for hair loss.
research Coronal approach for rehabilitative orbital decompression in Graves' ophthalmopathy
The coronal approach is effective and safe for reducing eye bulging in Graves' eye disease.
research Fractal geometry and topology abstracted from hair fibers
Hair fibers have fractal patterns with properties related to the golden mean, which may affect their functionality.
research scINSIGHT for interpreting single-cell gene expression from biologically heterogeneous data
scINSIGHT accurately identifies cell clusters and gene patterns in complex data.
research Enhanced stratification of male pattern hair loss using AI through novel loss region ratio analysis
AI improves accuracy and consistency in diagnosing male pattern hair loss.
research Revolutionizing Hair Fall Analysis: The Advanced Precipitation U-Net Model
The Advanced Precipitation U-Net Model improves early hair fall detection with 92% accuracy.
research Two-Stage Machine Learning-Based GWAS for Wool Traits in Central Anatolian Merino Sheep
Machine learning can effectively identify genes to improve wool quality in sheep.
research Improved trichoscopic assessment of yellow dots using Sub-Ultraviolet Light
research Improved trichoscopic assessment of yellow dots using Sub-Ultraviolet Light
research A Machine Learning Algorithm Applied to Trichoscopy for Androgenic Alopecia Staging and Severity Assessment
The machine learning model effectively assesses the severity of hair loss and could help dermatologists with treatment decisions.
research Hair and Scalp Disease Detection using Machine Learning and Image Processing
The machine learning model accurately detected hair loss and scalp diseases using processed images.
research Pre-trained classification of scalp conditions using image processing
The system can automatically classify scalp conditions with 85% accuracy.
research Artificial neural networks algorithms for prediction of human hair loss related autoimmune disorder problem
Artificial neural networks can accurately diagnose Alopecia Areata.
research ISID0197 - Quantitative analysis of hair loss in mice utilizing imageJ improves the efficacy evaluation of alopecia areata induction in the C3H/HeJ mouse model
A new image-based method improves accuracy in measuring hair loss in mice.