Jeff Houghton - L'Oréal | 人才画像

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论文共 7 篇作者统计合作学者相似作者

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The Relevance and Accuracy of an AI Algorithm-Based Descriptor on 23 Facial Attributes in a Diverse Female US Population

Zhi Yu,Frederic Flament,Ruowei Jiang,Jeff Houghton,Camille Kroely, Nathalie Cabut,Diala Haykal, Cassidy Sehgal,Nina G. Jablonski,Aurelie Jean,Parham Aarabi

Skin research and technology official journal of International Society for Bioengineering and the Skin (ISBS) and International Society for Digital Imaging of Skin (ISDIS) and International Society for Skin Imaging (ISSI)no. 5 (2024): e13690-e13690

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Grading Facial Aging: Comparing the Clinical Assessments Made by Three Dermatologists with Those Obtained by an AI-based Scoring System That Analyses Selfie Pictures. A Focus on Chinese Subjects of Both Genders

Wenna Wang,Frederic Flament, Hequn Wang,Chengda Ye,Ruowei Jiang,Jeff Houghton,Wei Liu

International journal of cosmetic science（2024）

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Objective and Automatic Grading System of Facial Signs from Smartphones’ Pictures in South African Men: Validation Versus Dermatologists and Characterization of Changes with Age

Frederic Flament,Ruowei Jiang,Jeff Houghton,Matthieu Cassier,David Amar,Caroline Delaunay,Guive Balooch,Elisabeth Bouhadana,Parham Aarabi,Thierry Passeron

Skin Research and Technologyno. 4 (2023)

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Virtual Approach of the Aesthetical Fit Between Hair Colours and Skin Tones in Women of Different Ethnical Origin Backgrounds

Anthony Galliano,Myriam Guerin, Valerie Lambert, Ioanna Favrot, David Seneca, Fabien Lequeux,Frederic Flament, Anna Sleurs, Berkly Foster,Edmund Phung, Kyung Moon Lee,Jeff Houghton

Skin Research and Technology（2022）

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Accuracy and Clinical Relevance of an Automated, Algorithm-Based Analysis of Facial Signs from Selfie Images of Women in the United States of Various Ages, Ancestries and Phototypes: A Cross-Sectional Observational Study