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Table representation of search results timeline featuring number of search results per year.
Year | Number of Results |
---|---|
2020 | 3 |
2021 | 2 |
2023 | 1 |
2024 | 0 |
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Page 1
Orchard Mapping with Deep Learning Semantic Segmentation.
Sensors (Basel). 2021 May 31;21(11):3813. doi: 10.3390/s21113813.
Sensors (Basel). 2021.
PMID: 34072975
Free PMC article.
Support Systems of Clinical Decisions in the Triage of the Emergency Department Using Artificial Intelligence: The Efficiency to Support Triage.
Karlafti E, Anagnostis A, Simou T, Kollatou AS, Paramythiotis D, Kaiafa G, Didaggelos T, Savvopoulos C, Fyntanidou V.
Karlafti E, et al. Among authors: anagnostis a.
Acta Med Litu. 2023;30(1):19-25. doi: 10.15388/Amed.2023.30.1.2. Epub 2023 Jan 24.
Acta Med Litu. 2023.
PMID: 37575380
Free PMC article.
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Does COVID-19 Clinical Status Associate with Outcome Severity? An Unsupervised Machine Learning Approach for Knowledge Extraction.
Karlafti E, Anagnostis A, Kotzakioulafi E, Vittoraki MC, Eufraimidou A, Kasarjyan K, Eufraimidou K, Dimitriadou G, Kakanis C, Anthopoulos M, Kaiafa G, Savopoulos C, Didangelos T.
Karlafti E, et al. Among authors: anagnostis a.
J Pers Med. 2021 Dec 17;11(12):1380. doi: 10.3390/jpm11121380.
J Pers Med. 2021.
PMID: 34945852
Free PMC article.
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Efficient Bone Metastasis Diagnosis in Bone Scintigraphy Using a Fast Convolutional Neural Network Architecture.
Papandrianos N, Papageorgiou E, Anagnostis A, Papageorgiou K.
Papandrianos N, et al. Among authors: anagnostis a.
Diagnostics (Basel). 2020 Jul 30;10(8):532. doi: 10.3390/diagnostics10080532.
Diagnostics (Basel). 2020.
PMID: 32751433
Free PMC article.
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Development of Convolutional Neural Networks to identify bone metastasis for prostate cancer patients in bone scintigraphy.
Papandrianos N, Papageorgiou EI, Anagnostis A.
Papandrianos N, et al. Among authors: anagnostis a.
Ann Nucl Med. 2020 Nov;34(11):824-832. doi: 10.1007/s12149-020-01510-6. Epub 2020 Aug 24.
Ann Nucl Med. 2020.
PMID: 32839920
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Bone metastasis classification using whole body images from prostate cancer patients based on convolutional neural networks application.
Papandrianos N, Papageorgiou E, Anagnostis A, Papageorgiou K.
Papandrianos N, et al. Among authors: anagnostis a.
PLoS One. 2020 Aug 14;15(8):e0237213. doi: 10.1371/journal.pone.0237213. eCollection 2020.
PLoS One. 2020.
PMID: 32797099
Free PMC article.
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