1 citations
,
May 2001 in “Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE” The system helps monitor hair properties using RGB video microscopy.
9 citations
,
January 2011 in “Skin Research and Technology” The new automatic tool accurately measures hair thickness and is reliable.
March 2024 in “medRxiv (Cold Spring Harbor Laboratory)” Recent selection on immune response genes was identified across seven ethnicities.
May 2013 in “Proceedings of SPIE” Researchers created a system that accurately aligns laser beams automatically.
16 citations
,
June 2017 in “PLoS ONE” A 6-group hair classification is more reliable for drug testing than an 8-group system.
The optimized VGG19 model accurately classifies hair diseases with 98.64% accuracy.
24 citations
,
June 2012 in “BMC Research Notes” The HGCA tool helps identify genes that work together by analyzing their co-expression patterns.
January 2026 in “Figshare” January 2026 in “Figshare”
1 citations
,
January 2026 in “Physical review. D/Physical review. D.” Black holes with primary Proca hair can have unique shadows with inner rings, affecting how we observe them.
7 citations
,
January 2003 in “Journal of cosmetic and laser therapy” The filterless flashlamp-based system effectively delays hair regrowth and improves skin condition.
15 citations
,
August 2020 in “Indonesian Journal of Electrical Engineering and Computer Science” The system can automatically classify scalp conditions with 85% accuracy.
November 2019 in “Hair transplant forum international” The SketchAndCalc app is a faster and more precise method for measuring hair transplant areas than traditional grid counting.
6 citations
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March 2018 in “Hair transplant forum international” The Graft Quality Index grades hair transplant grafts to predict placement difficulty and surgery results.
The tool accurately measures hair count and size on scalps with 79.45% and 68.19% accuracy, respectively.
November 2024 in “Journal of Investigative Dermatology” The research aims to better understand hair follicle regulation and find new treatments for hair loss.
9 citations
,
March 2014 in “Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE” The new image descriptor helps identify skin cancer structures with good accuracy.
6 citations
,
December 2018 in “Australasian Journal of Dermatology” The Trichoscopy Derived Sinclair Scale offers a more accurate and reliable way to measure hair loss severity than the traditional visual method.
April 2023 in “bioRxiv (Cold Spring Harbor Laboratory)” Gap junctions help control feather pattern formation by enabling cell communication.
9 citations
,
January 2021 in “Biomolecules” Infrared spectral imaging can map hair growth proteins and sugars without staining.
September 2015 in “Dermatologic Surgery” Computer-aided imaging system accurately measures baldness in Chinese women with hair loss.
1 citations
,
March 2024 in “arXiv (Cornell University)” Deep learning can effectively detect hair and scalp diseases early.
January 2014 in “Revista Brasileira de Cirurgia Plástica” 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.
5 citations
,
May 2018 in “Statistics in Medicine” Model improves accuracy in predicting hair loss effects.
73 citations
,
January 1997 in “British Journal of Ophthalmology” The coronal approach is effective and safe for reducing eye bulging in Graves' eye disease.
January 2018 in “Communications in computer and information science” Researchers developed a computer system to automatically diagnose hair loss by analyzing scalp images.
5 citations
,
July 2023 in “Journal of Autonomous Intelligence” Artificial neural networks can accurately diagnose Alopecia Areata.
3 citations
,
February 2024 in “arXiv (Cornell University)” Google Search ads effectively gathered a diverse dermatology image dataset for research and AI development.
3 citations
,
January 2023 in “European Journal of Information Technologies and Computer Science” The machine learning model accurately detected hair loss and scalp diseases using processed images.
11 citations
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October 2020 in “Sensors” Photoacoustic imaging can accurately assess hair follicle density and orientation for hair transplant planning.