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21 |
Automated Nuclear Morphometry: A Deep Learning Approach for Prognostication in Canine Pulmonary Carcinoma to Enhance Reproducibility
Glahn, Imaine. - Ingolstadt : Technische Hochschule Ingolstadt, 2024
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22 |
Drug-target identification in COVID-19 disease mechanisms using computational systems biology approaches
Niarakis, Anna. - Berlin : Humboldt-Universität zu Berlin, 2024
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23 |
Drug-target identification in COVID-19 disease mechanisms using computational systems biology approaches
Niarakis, Anna. - Frankfurt am Main : Universitätsbibliothek Johann Christian Senckenberg, 2024
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24 |
Nuclear pleomorphism in canine cutaneous mast cell tumors: Comparison of reproducibility and prognostic relevance between estimates, manual morphometry, and algorithmic morphometry
Haghofer, Andreas. - Ingolstadt : Technische Hochschule Ingolstadt, 2024
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25 |
Real-world use of recombinant porcine sequence factor VIII in the treatment of acquired hemophilia A: EU PASS
Miesbach, Wolfgang. - Frankfurt am Main : Universitätsbibliothek Johann Christian Senckenberg, 2024
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26 |
Systematic exploration of a multi-promoter catalyst composition space with limited experiments: non-oxidative propane dehydrogenation to propylene
Kunkel, Christian. - Berlin : Technische Universität Berlin, 2024
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27 |
Increases in drug-related infant mortality in the United States
Enthalten in Journal of perinatal medicine Bd. 52, 2024, Nr. 6: 660-664. 05 S.
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28 |
Multi-objective optimization of machining variables for wire-EDM of LM6/fly ash composite materials using grey relational analysis
Enthalten in Science and engineering of composite materials Bd. 31, 2024, Nr. 1. 14 S.
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29 |
Scenario setup and forcing data for impact model evaluation and impact attribution within the third round of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP3a)
Enthalten in Geoscientific model development Bd. 17, 2024, Nr. 1: 1-51. 51 S.
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30 |
Scenario setup and forcing data for impact model evaluation and impact attribution within the third round of the Inter-Sectoral Model Intercomparison Project (ISIMIP3a)
Enthalten in Geoscientific model development Bd. 17, 2024, Nr. 1: 1-51. 51 S.
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