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Anne-Christin Hauschild

◀ ▶ joint publications with Jacqueline Michelle Beinecke

> Home > Persons > Anne-Christin Hauschild

Publications

2024
[j11]
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  - journals/titb/BenderBKMDSSH24
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  - https://dblp.org/rec/journals/titb/BenderBKMDSSH24
Theresa Bender, Jacqueline Michelle Beinecke, Dagmar Krefting, Carolin Müller, Henning Dathe, Tim Seidler, Nicolai Spicher, Anne-Christin Hauschild:
Analysis of a Deep Learning Model for 12-Lead ECG Classification Reveals Learned Features Similar to Diagnostic Criteria. IEEE J. Biomed. Health Informatics 28(4): 1848-1859 (2024)
2023
[c2]
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  dblp key:
  - conf/cdmake/HolzingerSHBHRMBP23
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  - https://dblp.org/rec/conf/cdmake/HolzingerSHBHRMBP23
Andreas Holzinger, Anna Saranti, Anne-Christin Hauschild, Jacqueline Michelle Beinecke, Dominik Heider, Richard Röttger, Heimo Müller, Jan Baumbach, Bastian Pfeifer:
Human-in-the-Loop Integration with Domain-Knowledge Graphs for Explainable Federated Deep Learning. CD-MAKE 2023: 45-64
2022
[j6]
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  - journals/cbm/BeineckeASHLLH22
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  - https://dblp.org/rec/journals/cbm/BeineckeASHLLH22
Jacqueline Michelle Beinecke, Patrick Anders, Tino Schurrat, Dominik Heider, Markus Luster, Damiano Librizzi, Anne-Christin Hauschild:
Evaluation of machine learning strategies for imaging confirmed prostate cancer recurrence prediction on electronic health records. Comput. Biol. Medicine 143: 105263 (2022)
[i3]
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  dblp key:
  - journals/corr/abs-2211-01738
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  - https://dblp.org/rec/journals/corr/abs-2211-01738
Theresa Bender, Jacqueline Michelle Beinecke, Dagmar Krefting, Carolin Müller, Henning Dathe, Tim Seidler, Nicolai Spicher, Anne-Christin Hauschild:
Analysis of a Deep Learning Model for 12-Lead ECG Classification Reveals Learned Features Similar to Diagnostic Criteria. CoRR abs/2211.01738 (2022)

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