skip to content
Home

Cambridge Image Analysis

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, M Schut, F Asselbergs, S Kar, S Sivapalaratnam, S Williams, M Koh, Y Henskens, B de Wit, U D'Alessandro, B Bah, O Secka, P Nachev, R Gupta, S Trompeter, N Boeckx, C van Laer, GA Awandare, K Sarpong, L Amenga-Etego, M Leers, M Huijskens, S McDermott, WH Ouwehand, J Rudd, CB Schӧnlieb, N Gleadall, M Roberts, J Preller, JHF Rudd, JAD Aston, CB Schönlieb
– Patterns
(2024)
5,
101006
(doi: 10.1016/j.patter.2024.101006)
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
(2024)
2023,
e3
(doi: 10.1155/2023/2868112)
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)
(doi: 10.48550/arxiv.2310.02874)
Modeling of a Liquid Leaf Target TNSA Experiment using Particle-In-Cell Simulations and Deep Learning
B Schmitz, D Kreuter, O Boine-Frankenheim
(2023)
(link to publication)
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)
(doi: 10.48550/arxiv.2306.09177)
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)
16,
609
(doi: 10.24507/ijicic.16.02.609)

Research Group

Cambridge Image Analysis

Email

dk659@cam.ac.uk

Room

F0.10

Study at Cambridge

About the University

Research at Cambridge