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Journal of Advanced Research|May 17, 2022
Characterization of the skin microbiota in bullous pemphigoid patients and controls reveals novel microbial indicators of diseaseMeriem Belheouane, Britt M Hermes, Nina Van Beek, et al.Journal of the European Academy of Dermatology and Venereology : JEADV|February 29, 2024
S2k guidelines on diagnosis and treatment of linear IgA dermatosis initiated by the European Academy of Dermatology and VenereologyFrédéric Caux, Aikaterini Patsatsi, Meropi Karakioulaki, et al.European Journal of Cancer (Oxford, England : 1990)|August 13, 2021
A benchmark for neural network robustness in skin cancer classificationRoman C Maron, Justin G Schlager, Sarah Haggenmüller, et al.Frontiers in Immunology|November 29, 2023
The gut microbiome in bullous pemphigoid: implications of the gut-skin axis for disease susceptibilityXiaolin Liu, Nina van Beek, Aleksa Cepic, et al.JID Innovations : Skin Science From Molecules to Population Health|December 6, 2021
Allogeneic ABCB5+ mesenchymal stem cells for treatment-refractory chronic venous ulcers: a phase I/IIa clinical trialAndreas Kerstan, Kathrin Dieter, Elke Niebergall-Roth, et al.Communications Medicine|September 10, 2024
Prospective multicenter study using artificial intelligence to improve dermoscopic melanoma diagnosis in patient careLukas Heinlein, Roman C Maron, Achim Hekler, et al.Journal of Autoimmunity|July 29, 2021
Genetic association and differential expression of HLAComplexGroup lncRNAs in pemphigusAmanda Salviano-Silva, Mareike Becker, Danillo G Augusto, et al.Orphanet Journal of Rare Diseases|May 20, 2021
Identification of two novel bullous pemphigoid- associated alleles, HLA-DQA1*05:05 and -DRB1*07:01, in GermansChristian Schwarm, Damian Gola, Maike M Holtsche, et al.European Journal of Cancer (Oxford, England : 1990)|April 10, 2021
Combining CNN-based histologic whole slide image analysis and patient data to improve skin cancer classificationJulia Höhn, Eva Krieghoff-Henning, Tanja B Jutzi, et al.JAMA Dermatology|February 7, 2024
Federated Learning for Decentralized Artificial Intelligence in Melanoma DiagnosticsSarah Haggenmüller, Max Schmitt, Eva Krieghoff-Henning, et al.Pageof 21