Hasil Pencarian - Nico Scherf

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  1. 1
    Ontology patterns for the representation of quality changes of cells in time

    Ontology patterns for the representation of quality changes of cells in time oleh Patryk Burek, Nico Scherf, Heinrich Herre

    Diterbitkan 2019-10-01
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  2. 2
    Simulating Local Deformations in the Human Cortex Due to Blood Flow-Induced Changes in Mechanical Tissue Properties: Impact on Functional Magnetic Resonance Imaging

    Simulating Local Deformations in the Human Cortex Due to Blood Flow-Induced Changes in Mechanical Tissue Properties: Impact on Functional Magnetic Resonance Imaging oleh Mahsa Zoraghi, Nico Scherf, Nico Scherf, Carsten Jaeger, Ingolf Sack, Sebastian Hirsch, Sebastian Hirsch, Stefan Hetzer, Stefan Hetzer, Nikolaus Weiskopf, Nikolaus Weiskopf

    Diterbitkan 2021-09-01
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  3. 3
    TraCurate: Efficiently curating cell tracks

    TraCurate: Efficiently curating cell tracks oleh Sebastian Wagner, Konstantin Thierbach, Thomas Zerjatke, Ingmar Glauche, Ingo Roeder, Nico Scherf

    Diterbitkan 2021-01-01
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  4. 4
    Cell-accurate optical mapping across the entire developing heart

    Cell-accurate optical mapping across the entire developing heart oleh Michael Weber, Nico Scherf, Alexander M Meyer, Daniela Panáková, Peter Kohl, Jan Huisken

    Diterbitkan 2017-12-01
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  5. 5
    linus: Conveniently explore, share, and present large-scale biological trajectory data in a web browser.

    linus: Conveniently explore, share, and present large-scale biological trajectory data in a web browser. oleh Johannes Waschke, Mario Hlawitschka, Kerim Anlas, Vikas Trivedi, Ingo Roeder, Jan Huisken, Nico Scherf

    Diterbitkan 2021-11-01
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  6. 6
    linus: Conveniently explore, share, and present large-scale biological trajectory data in a web browser

    linus: Conveniently explore, share, and present large-scale biological trajectory data in a web browser oleh Johannes Waschke, Mario Hlawitschka, Kerim Anlas, Vikas Trivedi, Ingo Roeder, Jan Huisken, Nico Scherf

    Diterbitkan 2021-11-01
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  7. 7
    Multi-scale imaging and analysis identify pan-embryo cell dynamics of germlayer formation in zebrafish

    Multi-scale imaging and analysis identify pan-embryo cell dynamics of germlayer formation in zebrafish oleh Gopi Shah, Konstantin Thierbach, Benjamin Schmid, Johannes Waschke, Anna Reade, Mario Hlawitschka, Ingo Roeder, Nico Scherf, Jan Huisken

    Diterbitkan 2019-12-01
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  8. 8
    How to predict relapse in leukemia using time series data: A comparative in silico study

    How to predict relapse in leukemia using time series data: A comparative in silico study oleh Helene Hoffmann, Christoph Baldow, Thomas Zerjatke, Andrea Gottschalk, Sebastian Wagner, Elena Karg, Sebastian Niehaus, Ingo Roeder, Ingmar Glauche, Nico Scherf

    Diterbitkan 2021-01-01
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  9. 9
    How to predict relapse in leukemia using time series data: A comparative in silico study.

    How to predict relapse in leukemia using time series data: A comparative in silico study. oleh Helene Hoffmann, Christoph Baldow, Thomas Zerjatke, Andrea Gottschalk, Sebastian Wagner, Elena Karg, Sebastian Niehaus, Ingo Roeder, Ingmar Glauche, Nico Scherf

    Diterbitkan 2021-01-01
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  10. 10
    Involvement of GPR17 in Neuronal Fibre Outgrowth

    Involvement of GPR17 in Neuronal Fibre Outgrowth oleh Max Braune, Nico Scherf, Claudia Heine, Katja Sygnecka, Thanigaimalai Pillaiyar, Chiara Parravicini, Bernd Heimrich, Maria P. Abbracchio, Christa E. Müller, Heike Franke

    Diterbitkan 2021-10-01
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  11. 11
    Automatic Lung Segmentation and Quantification of Aeration in Computed Tomography of the Chest Using 3D Transfer Learning

    Automatic Lung Segmentation and Quantification of Aeration in Computed Tomography of the Chest Using 3D Transfer Learning oleh Lorenzo Maiello, Lorenzo Maiello, Lorenzo Ball, Marco Micali, Francesca Iannuzzi, Nico Scherf, Ralf-Thorsten Hoffmann, Marcelo Gama de Abreu, Marcelo Gama de Abreu, Marcelo Gama de Abreu, Paolo Pelosi, Robert Huhle

    Diterbitkan 2022-02-01
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  12. 12
    A Standardized Clinical Data Harmonization Pipeline for Scalable AI Application Deployment (FHIR-DHP): Validation and Usability Study

    A Standardized Clinical Data Harmonization Pipeline for Scalable AI Application Deployment (FHIR-DHP): Validation and Usability Study oleh Elena Williams, Manuel Kienast, Evelyn Medawar, Janis Reinelt, Alberto Merola, Sophie Anne Ines Klopfenstein, Anne Rike Flint, Patrick Heeren, Akira-Sebastian Poncette, Felix Balzer, Julian Beimes, Paul von Bünau, Jonas Chromik, Bert Arnrich, Nico Scherf, Sebastian Niehaus

    Diterbitkan 2023-03-01
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