Andreas Leha

According to our database, Andreas Leha authored at least 7 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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, Andreas Leha, Simon Martin, Alexander Meyer, Eike Nagel, Stefan Orwat, Clemens Scherer, Moritz Seiffert, Jan Moritz Seliger, Stefan Simm, Tim Friede, Tim Seidler, Sandy Engelhardt

CoRR, 2024

Federated Foundation Model for Cardiac CT Imaging.

Malte Tölle, Philipp Garthe, Clemens Scherer, Jan Moritz Seliger, Andreas Leha, Nina Krüger, Stefan Simm, Simon Martin, Sebastian Eble, Halvar Kelm, Moritz Bednorz, Florian André, Peter Bannas, Gerhard-Paul Diller, Norbert Frey, Stefan Groß, Anja Hennemuth, Lars Kaderali, Alexander Meyer, Eike Nagel, Stefan Orwat, Moritz Seiffert, Tim Friede, Tim Seidler, Sandy Engelhardt

CoRR, 2024

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

2019

Utilizing Molecular Network Information via Graph Convolutional Neural Networks to Predict Metastatic Event in Breast Cancer.

Hryhorii Chereda, Annalen Bleckmann, Frank Kramer, Andreas Leha, Tim Beißbarth

Proceedings of the German Medical Data Sciences: Shaping Change - Creative Solutions for Innovative Medicine - Proceedings of the 64th Annual Meeting of the German Association of Medical Informatics, Biometry and Epidemiology (gmds e.V.) 2019 in Dortmund, Germany, 2019

2013

Utilization of ordinal response structures in classification with high-dimensional expression data.

Andreas Leha, Klaus Jung, Tim Beißbarth

Proceedings of the German Conference on Bioinformatics 2013, 2013

2011

Sequential Interim Analyses of Survival Data in DNA Microarray Experiments.

Andreas Leha, Tim Beißbarth, Klaus Jung

BMC Bioinform., 2011

2009

Optimization of Simulated Production Process Performance using Machine Learning.

Andreas Leha, Dejan Pangercic, Thomas Rühr, Michael Beetz

Proceedings of 12th IEEE International Conference on Emerging Technologies and Factory Automation, 2009