Daniel Kreuter

I am a PhD fellow in the BloodCounts! project and a member of the Cambridge Image Analysis Group. I previously completed my Master's degree in physics at the Technical University of Darmstadt, Germany.

Publications

Recent Methodological Advances in Federated Learning for Healthcare

F Zhang, D Kreuter, Y Chen, S Dittmer, S Tull, T Shadbahr, B Collaboration, J Preller, JHF Rudd, JAD Aston, C-B Schönlieb, N Gleadall, M Roberts

(2023)

Modeling of a Liquid Leaf Target TNSA Experiment using Particle-In-Cell Simulations and Deep Learning

B Schmitz, D Kreuter, O Boine-Frankenheim

(2023)

Dis-AE: Multi-domain & Multi-task Generalisation on Real-World Clinical Data

D Kreuter, S Tull, J Gilbey, J Preller, B Consortium, JAD Aston, JHF Rudd, S Sivapalaratnam, C-B Schönlieb, N Gleadall, M Roberts

(2023)

Modeling of a Liquid Leaf Target TNSA Experiment Using Particle-In-Cell Simulations and Deep Learning

B Schmitz, D Kreuter, O Boine-Frankenheim

– Laser and Particle Beams

(2023)

2023,

Classification of Human Gait Acceleration Data Using Convolutional Neural Networks

D Kreuter, H Takahashi, Y Omae, T Akiduki, Z Zhang

– International Journal of Innovative Computing, Information and Control

(2020)

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