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Results by year

Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1954 3
1955 7
1959 2
1965 1
1966 4
1967 6
1968 2
1969 3
1970 3
1971 1
1972 6
1973 3
1974 4
1975 7
1976 10
1977 21
1978 6
1979 6
1980 2
1981 5
1982 10
1983 7
1984 4
1985 2
1986 6
1987 5
1988 6
1989 6
1990 9
1991 9
1992 11
1993 13
1994 17
1995 8
1996 12
1997 8
1998 15
1999 17
2000 10
2001 9
2002 13
2003 6
2004 14
2005 11
2006 5
2007 12
2008 7
2009 12
2010 13
2011 15
2012 17
2013 20
2014 19
2015 10
2016 19
2017 15
2018 11
2019 8
2020 9
2021 14
2022 19
2023 17
2024 10

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551 results

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Page 1
Disseminated necrotic plaques in a 50-year-old man.
Müller VL, Hillen U, Schaller J, Duschner N, Hyun J, Schrickel I, Kreuter A. Müller VL, et al. Among authors: schaller j. J Dtsch Dermatol Ges. 2024 May 8. doi: 10.1111/ddg.15413. Online ahead of print. J Dtsch Dermatol Ges. 2024. PMID: 38719550 No abstract available.
Definition of the Post-COVID syndrome using a symptom-based Post-COVID score in a prospective, multi-center, cross-sectoral cohort of the German National Pandemic Cohort Network (NAPKON).
Appel KS, Nürnberger C, Bahmer T, Förster C, Polidori MC, Kohls M, Kraus T, Hettich-Damm N, Petersen J, Blaschke S, Bröhl I, Butzmann J, Dashti H, Deckert J, Dreher M, Fiedler K, Finke C, Geisler R, Hanses F, Hopff SM, Jensen BO, Konik M, Lehnert K, de Miranda SMN, Mitrov L, Miljukov O, Reese JP, Rohde G, Scherer M, Tausche K, Tebbe JJ, Vehreschild JJ, Voit F, Wagner P, Weigl M, Lemhöfer C; NAPKON Study Group. Appel KS, et al. Infection. 2024 Apr 8. doi: 10.1007/s15010-024-02226-9. Online ahead of print. Infection. 2024. PMID: 38587752
Prospective study validating a multidimensional treatment decision score predicting the 24-month outcome in untreated patients with clinically isolated syndrome and early relapsing-remitting multiple sclerosis, the ProVal-MS study.
Bayas A, Mansmann U, Ön BI, Hoffmann VS, Berthele A, Mühlau M, Kowarik MC, Krumbholz M, Senel M, Steuerwald V, Naumann M, Hartberger J, Kerschensteiner M, Oswald E, Ruschil C, Ziemann U, Tumani H, Vardakas I, Albashiti F, Kramer F, Soto-Rey I, Spengler H, Mayer G, Kestler HA, Kohlbacher O, Hagedorn M, Boeker M, Kuhn K, Buchka S, Kohlmayer F, Kirschke JS, Behrens L, Zimmermann H, Bender B, Sollmann N, Havla J, Hemmer B; ProVal-MS study group. Bayas A, et al. Neurol Res Pract. 2024 Mar 7;6(1):15. doi: 10.1186/s42466-024-00310-x. Neurol Res Pract. 2024. PMID: 38449051 Free PMC article.
[Einsatz künstlicher Intelligenz mittels Deep Learning in der dermatopathologischen Routinediagnostik des Basalzellkarzinoms: Applying an artificial intelligence deep learning approach to routine dermatopathological diagnosis of basal cell carcinoma].
Duschner N, Baguer DO, Schmidt M, Griewank KG, Hadaschik E, Hetzer S, Wiepjes B, Le'Clerc Arrastia J, Jansen P, Maass P, Schaller J. Duschner N, et al. Among authors: schaller j. J Dtsch Dermatol Ges. 2023 Nov;21(11):1329-1338. doi: 10.1111/ddg.15180_g. J Dtsch Dermatol Ges. 2023. PMID: 37946648 German.
551 results