Gaussian noise up-sampling is better suited than SMOTE and ADASYN for clinical decision making. - Jacqueline Michelle Beinecke; Dominik Heider (BioData Min., 2021)

Evaluation of machine learning strategies for imaging confirmed prostate cancer recurrence prediction on electronic health records. - Jacqueline Michelle Beinecke; Patrick Anders; Tino Schurrat; Dominik Heider; Markus Luster; Damiano Librizzi; Anne-Christin Hauschild (Comput. Biol. Medicine, 2022)

Human-in-the-Loop Integration with Domain-Knowledge Graphs for Explainable Federated Deep Learning. - Andreas Holzinger; Anna Saranti; Anne-Christin Hauschild; Jacqueline Michelle Beinecke; Dominik Heider; Richard Röttger; Heimo Müller; Jan Baumbach; Bastian Pfeifer (CD-MAKE, 2023)

Analysis of a Deep Learning Model for 12-Lead ECG Classification Reveals Learned Features Similar to Diagnostic Criteria. - Theresa Bender; Jacqueline Michelle Beinecke; Dagmar Krefting; Carolin Müller; Henning Dathe; Tim Seidler; Nicolai Spicher; Anne-Christin Hauschild (IEEE J. Biomed. Health Informatics, 2024)