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Most chilblains observed during the COVID-19 outbreak occur in patients who are negative for COVID-19 on polymerase chain reaction and serology testing.
Le Cleach L, Dousset L, Assier H, Fourati S, Barbarot S, Boulard C, Bourseau Quetier C, Cambon L, Cazanave C, Colin A, Kostrzewa E, Lesort C, Levy Roy A, Lombart F, Marco-Bonnet J, Monfort JB, Samimi M, Tardieu M, Wolkenstein P, Sbidian E, Beylot-Barry M; French Society of Dermatology. Le Cleach L, et al. Among authors: levy roy a. Br J Dermatol. 2020 Nov;183(5):866-874. doi: 10.1111/bjd.19377. Epub 2020 Aug 9. Br J Dermatol. 2020. PMID: 32628270 Free PMC article.
Non-acral skin manifestations during the COVID-19 epidemic: COVIDSKIN study by the French Society of Dermatology.
Guelimi R, Salle R, Dousset L, Assier H, Fourati S, Bhujoo Z, Barbarot S, Boulard C, Cazanave C, Colin A, Kostrzewa E, Lesort C, Levy Roy A, Lombart F, Marco Bonnet J, Marty L, Monfort JB, Riffaud L, Samimi M, Tardieu M, Sbidian E, Wolkenstein P, Le Cleach L, Beylot-Barry M. Guelimi R, et al. Among authors: levy roy a. J Eur Acad Dermatol Venereol. 2021 Sep;35(9):e539-e541. doi: 10.1111/jdv.17322. Epub 2021 May 12. J Eur Acad Dermatol Venereol. 2021. PMID: 33914975 Free PMC article. No abstract available.
[What is your diagnosis? Mid-dermal elastolysis].
Levy-Roy A, Tasei AM, Richard MA. Levy-Roy A, et al. Ann Dermatol Venereol. 2011;138(4):324-6. doi: 10.1016/j.annder.2011.01.037. Epub 2011 Mar 10. Ann Dermatol Venereol. 2011. PMID: 21497263 French. No abstract available.
Skin lesions of face and scalp - Classification by a market-approved convolutional neural network in comparison with 64 dermatologists.
Haenssle HA, Winkler JK, Fink C, Toberer F, Enk A, Stolz W, Deinlein T, Hofmann-Wellenhof R, Kittler H, Tschandl P, Rosendahl C, Lallas A, Blum A, Abassi MS, Thomas L, Tromme I, Rosenberger A; Reader study level-I and level-II Groups Christina Alt. Haenssle HA, et al. Eur J Cancer. 2021 Feb;144:192-199. doi: 10.1016/j.ejca.2020.11.034. Epub 2020 Dec 25. Eur J Cancer. 2021. PMID: 33370644
Man against machine reloaded: performance of a market-approved convolutional neural network in classifying a broad spectrum of skin lesions in comparison with 96 dermatologists working under less artificial conditions.
Haenssle HA, Fink C, Toberer F, Winkler J, Stolz W, Deinlein T, Hofmann-Wellenhof R, Lallas A, Emmert S, Buhl T, Zutt M, Blum A, Abassi MS, Thomas L, Tromme I, Tschandl P, Enk A, Rosenberger A; Reader Study Level I and Level II Groups. Haenssle HA, et al. Ann Oncol. 2020 Jan;31(1):137-143. doi: 10.1016/j.annonc.2019.10.013. Ann Oncol. 2020. PMID: 31912788 Free article.