Christopher Blum

According to our database, Christopher Blum authored at least 9 papers between 2019 and 2025.

Collaborative distances:

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

2025

Machine Learning Framework for Thrombosis Risk Prediction in Rotary Blood Pumps.

Christopher Blum, Michael Neidlin

CoRR, December, 2025

UAV Trajectory Optimisation with Reduced Conservatism via Tight B-Spline Envelopes.

Christopher Blum, Keir Groves, Zhongguo Li, Ognjen Marjanovic

Proceedings of the Towards Autonomous Robotic Systems - 26th Annual Conference, 2025

2024

Systematic analysis of non-intrusive polynomial chaos expansion to determine rotary blood pump performance over the entire operating range.

Christopher Blum, Ulrich Steinseifer, Michael Neidlin

Comput. Biol. Medicine, January, 2024

Multi-modal Transfer Learning between Biological Foundation Models.

Juan Jose Garau-Luis, Patrick Bordes, Liam Gonzalez, Masa Roller, Bernardo P. de Almeida, Lorenz Hexemer, Christopher Blum, Stefan Laurent, Jan Grzegorzewski, Maren Lang, Thomas Pierrot, Guillaume Richard

CoRR, 2024

Multi-modal Transfer Learning between Biological Foundation Models.

Juan Jose Garau-Luis, Patrick Bordes, Liam Gonzalez, Masa Roller, Bernardo P. de Almeida, Christopher Blum, Lorenz Hexemer, Stefan Laurent, Maren Lang, Thomas Pierrot, Guillaume Richard

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2020

Reliable Detection of Atrial Fibrillation with a Medical Wearable during Inpatient Conditions.

Malte Jacobsen, Till Anselm Dembek, Athanasios-Panagiotis Ziakos, Rahil Gholamipoor, Guido Kobbe, Markus Kollmann, Christopher Blum, Dirk Müller-Wieland, Andreas Napp, Lutz Heinemann, Nikolas Deubner, Nikolaus Marx, Stefan Isenmann, Melchior Seyfarth

Sensors, 2020

Analytical Assessment of the Propagation of Colored Sensor Noise in Strapdown Inertial Navigation.

Christopher Blum, Johann Dambeck

Sensors, 2020

2019

Neural networks with circular filters enable data efficient inference of sequence motifs.

Christopher Blum, Markus Kollmann

Bioinform., 2019

Predicting gene expression level in E. coli from mRNA sequence information.

Linlin Zhao, Nima Abedpour, Christopher Blum, Petra Kolkhof, Mathias Beller, Markus Kollmann, Emidio Capriotti

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2019