Optimization of Simulated Production Process Performance using Machine Learning. - Andreas Leha; Dejan Pangercic; Thomas Rühr; Michael Beetz (ETFA, 2009)

Sequential Interim Analyses of Survival Data in DNA Microarray Experiments. - Andreas Leha; Tim Beißbarth; Klaus Jung (BMC Bioinform., 2011)

Utilization of ordinal response structures in classification with high-dimensional expression data. - Andreas Leha; Klaus Jung; Tim Beißbarth (GCB, 2013)

Utilizing Molecular Network Information via Graph Convolutional Neural Networks to Predict Metastatic Event in Breast Cancer. - Hryhorii Chereda; Annalen Bleckmann; Frank Kramer 001; Andreas Leha; Tim Beißbarth (GMDS, 2019)

Stable feature selection utilizing Graph Convolutional Neural Network and Layer-wise Relevance Propagation for biomarker discovery in breast cancer. - Hryhorii Chereda; Andreas Leha; Tim Beißbarth (Artif. Intell. Medicine, 2024)

Federated Foundation Model for Cardiac CT Imaging. - Malte Tölle; Philipp Garthe; Clemens Scherer; Jan Moritz Seliger; Andreas Leha; Nina Krüger 002; Stefan Simm; Simon Martin 007; Sebastian Eble; Halvar Kelm; Moritz Bednorz; Florian André; et al. (CoRR, 2024)

Real world federated learning with a knowledge distilled transformer for cardiac CT imaging. - Malte Tölle; Philipp Garthe; Clemens Scherer; Jan Moritz Seliger; Andreas Leha; Nina Krüger 002; Stefan Simm; Simon Martin 007; Sebastian Eble; Halvar Kelm; Moritz Bednorz; Florian André; et al. (npj Digit. Medicine, 2025)

Multi-modal dataset creation for federated learning with DICOM-structured reports. - Malte Tölle; Lukas Burger; Halvar Kelm; Florian André; Peter Bannas; Gerhard-Paul Diller; Norbert Frey; Philipp Garthe; Stefan Groß; Anja Hennemuth; Lars Kaderali; Nina Krüger 002; et al. (Int. J. Comput. Assist. Radiol. Surg., 2025)