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Frederic Flament

Showing results (51-60 of 64) with videos related to

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Clinical, Cosmetic and Investigational Dermatology|February 24, 2025
Types and Characteristics of Hair Across the Globe: Results of a Multinational Study on 19,461 IndividualsFrederic Flament, Aurelie Maudet, Philippe Barbarat, et al.
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)|May 8, 2024
The relevance and accuracy of an AI algorithm-based descriptor on 23 facial attributes in a diverse female US populationZhi Yu, Frederic Flament, Ruowei Jiang, et al.
International Journal of Cosmetic Science|January 22, 2019
A new procedure, free from human assessment that automatically grades some facial skin structural signs. Comparison with assessments by experts, using referential atlases of skin ageingRuowei Jiang, Irina Kezele, Alex Levinshtein, et al.
Clinical, Cosmetic and Investigational Dermatology|March 4, 2015
Facial skin pores: a multiethnic studyFrederic Flament, Ghislain Francois, Huixia Qiu, et al.
Photodermatology, Photoimmunology & Photomedicine|December 7, 2023
Awareness of sun exposure risks and photoprotection for preventing pigmentary disorders in Asian populations: Survey results from three Asian countries and expert panel recommendationsChee Leok Goh, Hee Young Kang, Akimichi Morita, et al.
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)|April 6, 2021
Comparing the self-perceived effects of a facial anti-aging product to those automatically detected from selfie images of Chinese women of different ages and citiesFrederic Flament, Aurelie Maudet, Chengda Ye, et al.
International Journal of Cosmetic Science|April 14, 2025
A non-invasive way to enhance cosmetic efficacy by associating a cosmetic serum with a nanochip tappingChengda Ye, Chunyao Lu, Frederic Flament, et al.
Journal of the European Academy of Dermatology and Venereology : JEADV|March 4, 2024
A Bayesian network meta-analysis of 14 molecules inhibiting UV daylight-induced pigmentationBenoit Muller, Frederic Flament, Hussein Jouni, et al.
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)|July 21, 2020
The continuous development of a complete and objective automatic grading system of facial signs from selfie pictures: Asian validation study and application to women of three ethnic origins, differently agedFrederic Flament, Yang Won Lee, Dong Hun Lee, et al.
Journal of the European Academy of Dermatology and Venereology : JEADV|August 20, 2022
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 studyFrederic Flament, Ruowei Jiang, Jeff Houghton, et al.
Pageof 7

Showing results (51-60 of 64) with videos related to

Sort By:
Pageof 7
Clinical, Cosmetic and Investigational Dermatology|February 24, 2025
Types and Characteristics of Hair Across the Globe: Results of a Multinational Study on 19,461 IndividualsFrederic Flament, Aurelie Maudet, Philippe Barbarat, et al.
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)|May 8, 2024
The relevance and accuracy of an AI algorithm-based descriptor on 23 facial attributes in a diverse female US populationZhi Yu, Frederic Flament, Ruowei Jiang, et al.
International Journal of Cosmetic Science|January 22, 2019
A new procedure, free from human assessment that automatically grades some facial skin structural signs. Comparison with assessments by experts, using referential atlases of skin ageingRuowei Jiang, Irina Kezele, Alex Levinshtein, et al.
Clinical, Cosmetic and Investigational Dermatology|March 4, 2015
Facial skin pores: a multiethnic studyFrederic Flament, Ghislain Francois, Huixia Qiu, et al.
Photodermatology, Photoimmunology & Photomedicine|December 7, 2023
Awareness of sun exposure risks and photoprotection for preventing pigmentary disorders in Asian populations: Survey results from three Asian countries and expert panel recommendationsChee Leok Goh, Hee Young Kang, Akimichi Morita, et al.
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)|April 6, 2021
Comparing the self-perceived effects of a facial anti-aging product to those automatically detected from selfie images of Chinese women of different ages and citiesFrederic Flament, Aurelie Maudet, Chengda Ye, et al.
International Journal of Cosmetic Science|April 14, 2025
A non-invasive way to enhance cosmetic efficacy by associating a cosmetic serum with a nanochip tappingChengda Ye, Chunyao Lu, Frederic Flament, et al.
Journal of the European Academy of Dermatology and Venereology : JEADV|March 4, 2024
A Bayesian network meta-analysis of 14 molecules inhibiting UV daylight-induced pigmentationBenoit Muller, Frederic Flament, Hussein Jouni, et al.
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)|July 21, 2020
The continuous development of a complete and objective automatic grading system of facial signs from selfie pictures: Asian validation study and application to women of three ethnic origins, differently agedFrederic Flament, Yang Won Lee, Dong Hun Lee, et al.
Journal of the European Academy of Dermatology and Venereology : JEADV|August 20, 2022
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 studyFrederic Flament, Ruowei Jiang, Jeff Houghton, et al.
Pageof 7