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Results by year

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

Year Number of Results
1928 1
1931 2
1932 3
1933 5
1934 3
1935 1
1936 2
1937 2
1938 1
1939 1
1942 1
1943 2
1946 8
1947 3
1948 4
1949 4
1951 3
1952 4
1953 6
1954 2
1955 1
1956 2
1957 5
1958 5
1959 8
1960 3
1961 1
1962 4
1963 3
1964 7
1965 2
1966 3
1967 8
1968 4
1969 4
1970 5
1971 5
1972 8
1973 8
1974 13
1975 9
1976 9
1977 9
1978 12
1979 8
1980 9
1981 4
1982 13
1983 11
1984 7
1985 10
1986 4
1987 18
1988 11
1989 13
1990 12
1991 8
1992 21
1993 21
1994 20
1995 14
1996 13
1997 20
1998 23
1999 24
2000 18
2001 28
2002 17
2003 24
2004 27
2005 32
2006 39
2007 36
2008 34
2009 25
2010 31
2011 32
2012 37
2013 47
2014 62
2015 49
2016 74
2017 91
2018 84
2019 64
2020 64
2021 90
2022 78
2023 77
2024 78
2025 90

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1,697 results

Results by year

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Page 1
DANN: a deep learning approach for annotating the pathogenicity of genetic variants.
Quang D, Chen Y, Xie X. Quang D, et al. Bioinformatics. 2015 Mar 1;31(5):761-3. doi: 10.1093/bioinformatics/btu703. Epub 2014 Oct 22. Bioinformatics. 2015. PMID: 25338716 Free PMC article.
To address this issue, we have developed DANN. DANN uses the same feature set and training data as CADD to train a deep neural network (DNN). ...AVAILABILITY AND IMPLEMENTATION: All data and source code are available at https://cbcl.ics.uci.edu/public_data/DANN …
To address this issue, we have developed DANN. DANN uses the same feature set and training data as CADD to train a deep neural …
Erst ein Schreck, dann ein großer Bluterguss.
Raschka C, Engelhardt M. Raschka C, et al. MMW Fortschr Med. 2024 Feb;166(2):9. doi: 10.1007/s15006-023-3517-4. MMW Fortschr Med. 2024. PMID: 38332262 German. No abstract available.
Psoriasis: Erst Arthritis, dann Hautläsionen.
Kraus D. Kraus D. MMW Fortschr Med. 2025 Sep;167(14):22-23. doi: 10.1007/s15006-025-5231-x. MMW Fortschr Med. 2025. PMID: 40877667 German. No abstract available.
NTRK-Genfusionen beim Melanom: Diagnostik, Prävalenz und mögliche Therapierelevanz.
Forschner A, Forchhammer S, Bonzheim I. Forschner A, et al. J Dtsch Dermatol Ges. 2020 Dec;18(12):1387-1393. doi: 10.1111/ddg.14160_g. J Dtsch Dermatol Ges. 2020. PMID: 33373127 Review. German.
Ein moglicher Ansatz konnte darin bestehen, BRAF-, NRAS- und KIT-Wildtyp-Melanom-Patienten mittels Next-Generation Sequencing zu screenen, sobald sie eine systemische Therapie benotigen oder aber spatestens dann, wenn sie kein Therapieansprechen auf Checkpoint-Inhibitoren …
Ein moglicher Ansatz konnte darin bestehen, BRAF-, NRAS- und KIT-Wildtyp-Melanom-Patienten mittels Next-Generation Sequencing zu screenen, s …
Mindcasters.
Dann J, Zebrowski G. Dann J, et al. Nature. 2020 Nov 11. doi: 10.1038/d41586-020-03182-8. Online ahead of print. Nature. 2020. PMID: 33177686 No abstract available.
E-DANN: An Enhanced Domain Adaptation Network for Audio-EEG Feature Decoupling in Explainable Depression Recognition.
Zhao Q, Jiang H, Wu Z, Zhang L, Cui K, Zheng K, Liu J, Cai R, Zhao M, Tian F, Hu B. Zhao Q, et al. IEEE Trans Neural Syst Rehabil Eng. 2025;33:3647-3661. doi: 10.1109/TNSRE.2025.3608181. IEEE Trans Neural Syst Rehabil Eng. 2025. PMID: 40928923
In this paper, we propose a novel framework named Enhanced Domain Adversarial Neural Network (E-DANN) for depression detection. First, we extract joint features that combine audio-specific physical properties and electroencephalogram (EEG) responses to construct a multimod …
In this paper, we propose a novel framework named Enhanced Domain Adversarial Neural Network (E-DANN) for depression detection. First …
When mentorship mattered.
Dann E. Dann E. Nurs Manage. 2020 Jun;51(6):46-47. doi: 10.1097/01.NUMA.0000662676.94409.84. Nurs Manage. 2020. PMID: 32472859 No abstract available.
An improved multi-source domain adaptation network for inter-subject mental fatigue detection based on DANN.
Chen K, Liu Z, Li Z, Liu Q, Ai Q, Ma L. Chen K, et al. Biomed Tech (Berl). 2023 Feb 17;68(3):317-327. doi: 10.1515/bmt-2022-0354. Print 2023 Jun 27. Biomed Tech (Berl). 2023. PMID: 36797837
RESULTS: The experiment result shows that when the number of the source domains increases, the classification accuracy of domain-adversarial training of neural network (DANN) gradually decreases and finally tends to be stable. The proposed method achieves an accuracy of 84 …
RESULTS: The experiment result shows that when the number of the source domains increases, the classification accuracy of domain-adversarial …
1,697 results