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

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

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Multiclass prediction of different dementia syndromes based on multi-centric volumetric MRI imaging von Lampe, Leonie, Huppertz, Hans-Jürgen, Anderl-Straub, Sarah, Albrecht, Franziska, Ballarini, Tommaso, Bisenius, Sandrine, Mueller, Karsten, Niehaus, Sebastian, Fassbender, Klaus, Fliessbach, Klaus, Jahn, Holger, Kornhuber, Johannes, Lauer, Martin, Prudlo, Johannes, Schneider, Anja, Synofzik, Matthis, Kassubek, Jan, Danek, Adrian, Villringer, Arno, Diehl-Schmid, Janine, Otto, Markus, Schroeter, Matthias L.

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Comparative analysis of machine learning algorithms for multi-syndrome classification of neurodegenerative syndromes von Lampe, Leonie, Niehaus, Sebastian, Huppertz, Hans-Jürgen, Merola, Alberto, Reinelt, Janis, Mueller, Karsten, Anderl-Straub, Sarah, Fassbender, Klaus, Fliessbach, Klaus, Jahn, Holger, Kornhuber, Johannes, Lauer, Martin, Prudlo, Johannes, Schneider, Anja, Synofzik, Matthis, Danek, Adrian, Diehl-Schmid, Janine, Otto, Markus, Villringer, Arno, Egger, Karl, Hattingen, Elke, Hilker-Roggendorf, Rüdiger, Schnitzler, Alfons, Südmeyer, Martin, Oertel, Wolfgang, Kassubek, Jan, Höglinger, Günter, Schroeter, Matthias L

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Domain-specific cues improve robustness of deep learning-based segmentation of CT volumes von Kloenne, Marie, Niehaus, Sebastian, Lampe, Leonie, Merola, Alberto, Reinelt, Janis, Roeder, Ingo, Scherf, Nico

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

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Fair Distributed Machine Learning with Imbalanced Data as a Stackelberg Evolutionary Game von Niehaus, Sebastian, Roeder, Ingo, Scherf, Nico

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Multi-stage Reinforcement Learning for Object Detection von König, Jonas, Malberg, Simon, Martens, Martin, Niehaus, Sebastian, Krohn-Grimberghe, Artus, Ramaswamy, Arunselvan

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Fair Distributed Machine Learning with Imbalanced Data as a Stackelberg Evolutionary Game von Niehaus, Sebastian, Roeder, Ingo, Scherf, Nico

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SYSTEM AND METHOD FOR IDENTIFYING OBJECTS von MEROLA, Alberto, NIEHAUS, Sebastian, REINELT, Janis

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System und Verfahren zum Identifizieren von Objekten von Niehaus, Sebastian, Merola, Alberto, Reinelt, Janis

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SYSTEM FOR THE AUTOMATED HARMONISATION OF STRUCTURED DATA FROM DIFFERENT CAPTURE DEVICES von DIEBOLD, Michael, LICHTERFELD, Daniel, NIEHAUS, Sebastian, REINELT, Janis

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CLASSIFIER SYSTEM AND METHOD FOR GENERATING CLASSIFICATION MODELS IN A DISTRIBUTED MANNER von DIEBOLD, Michael, LICHTERFELD, Daniel, NIEHAUS, Sebastian

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A comparative study of semi- and self-supervised semantic segmentation of biomedical microscopy data von Horlava, Nastassya, Mironenko, Alisa, Niehaus, Sebastian, Wagner, Sebastian, Roeder, Ingo, Scherf, Nico

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SYSTEM FOR THE AUTOMATED HARMONISATION OF STRUCTURED DATA FROM DIFFERENT CAPTURE DEVICES von DIEBOLD, Michael, LICHTERFELD, Daniel, NIEHAUS, Sebastian, REINELT, Janis

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SYSTEM AND METHOD FOR THE QUALITY ASSURANCE OF DATA-BASED MODELS von DIEBOLD, Michael, LICHTERFELD, Daniel, NIEHAUS, Sebastian, REINELT, Janis

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SYSTEM AND METHOD FOR THE QUALITY ASSURANCE OF DATA-BASED MODELS von DIEBOLD, Michael, LICHTERFELD, Daniel, NIEHAUS, Sebastian, REINELT, Janis

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Automatic quality control framework for more reliable integration of machine learning-based image segmentation into medical workflows von Williams, Elena, Niehaus, Sebastian, Reinelt, Janis, Merola, Alberto, Mihai, Paul Glad, Villringer, Kersten, Thierbach, Konstantin, Medawar, Evelyn, Lichterfeld, Daniel, Roeder, Ingo, Scherf, Nico, Hernández, Maria del C. Valdés

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Domain specific cues improve robustness of deep learning based segmentation of ct volumes von Kloenne, Marie, Niehaus, Sebastian, Lampe, Leonie, Merola, Alberto, Reinelt, Janis, Roeder, Ingo, Scherf, Nico

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Multi-Stage Reinforcement Learning For Object Detection von Koenig, Jonas, Malberg, Simon, Martens, Martin, Niehaus, Sebastian, Krohn-Grimberghe, Artus, Ramaswamy, Arunselvan

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