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Denoising low-field MR images with a deep learning algorithm based on simulated data from easily accessible open-source software2024 Journal of Magnetic Resonance article Computer Science Image and Signal Denoising Methods Open access
Chloé Najac, Beatrice Lena, Thomas O’Reilly, Yiming Dong, Peter Börnert, Hieab H.H. Adams, +1 more
12citations -
Quantification of plant trait data from herbarium scans in the DiSSCo Research Infrastructure2025 Research Ideas and Outcomes article Agricultural and Biological Sciences Smart Agriculture and AI Open access
Claus Weiland, Jonas Grieb, Soulaine Theocharides, Sam Leeflang, Wouter Addink, Sharif Islam
2citations -
Regression-based hub load calculation of a tidal turbine with blade root sensor data2025 Proceedings of the ... European Wave and Tidal Energy Conference conference-paper Energy Wind Energy Research and Development
Jakob Roth, Georg Jacobs, Julian Röder, Maximilian Zweiffel, T.C. Bauer, Lindsey Amos
1citations -
Applying physics-informed enhanced super-resolution generative adversarial networks to turbulent premixed combustion and engine-like flame kernel direct numerical simulation data2023 Proceedings of the Combustion Institute article Physics and Astronomy Model Reduction and Neural Networks Open access
Mathis Bode, Michael Gauding, Dominik Goeb, Tobias Falkenstein, Heinz G. Pitsch
31citations -
Sensitivity analysis for the detection of NO2 plumes from seagoing ships using TROPOMI data2024 Remote Sensing of Environment article Environmental Science Maritime Transport Emissions and Efficiency Open access
Solomiia Kurchaba, Artur Sokolovsky, Jasper van Vliet, Fons J. Verbeek, Cor J. Veenman
19citations -
MiMIR: R-shiny application to infer risk factors and endpoints from Nightingale Health’s 1H-NMR metabolomics data2022 Bioinformatics article Biochemistry, Genetics and Molecular Biology Metabolomics and Mass Spectrometry Studies Open access
Daniele Bizzarri, Marcel J. T. Reinders, Marian Beekman, P. Eline Slagboom, Erik B. van den Akker
17citations -
Auto-REP: An Automated Regression Pipeline Approach for High-efficiency Earthquake Prediction Using LANL Data2022 International Conference on Computer and Automation Engineering conference-paper Computer Science Seismology and Earthquake Studies Open access
Fan Yang, Marios Kefalas, Anna V. Kononova, Yanan Qiao, Thomas Bäck
11citations -
Radiographic sacroiliitis progression in axial spondyloarthritis: central reading of 5 year follow-up data from the Assessment of SpondyloArthritis international Society cohort
Mikhail Protopopov, Fabian Nikolai Proft, Alexandre Rocha Sepriano, Robert Landewé, Désirée M F M van der Heijde, Walter P. Maksymowych, +4 more
7citations -
A data-driven flow loss prediction model for the blade hub region of a boundary layer ingestion fan rotor2023 International Journal of Numerical Methods for Heat & Fluid Flow article Engineering Turbomachinery Performance and Optimization
Hanan Lu, Xizhen Song, Tianyu Pan, Zhe Yang, Jian Zhang, Qiushi Li
3citations -
Tree-Based Learning on Amperometric Time Series Data Demonstrates High Accuracy for Classification2023 arXiv (Cornell University) preprint Chemistry Electrochemical Analysis and Applications Open access
Jeyashree Krishnan, Zeyu Lian, Pieter E. Oomen, Xiulan He, Soodabeh Majdi, Andreas Schuppert, +1 more
1citations -
A novel framework for fully automated co-registration of intravascular ultrasound and optical coherence tomography imaging data2026 European Heart Journal - Digital Health article Medicine Coronary Interventions and Diagnostics Open access
Xingwei He, Kit Mills Bransby, Ahmet Emir Ulutaş, Thamil Kumaran S M, Nathan Angelo Lecaros Yap, Gönül Zeren, +15 more
0citations -
A Data-driven Approach for Enhanced On-Board Fault Diagnosis to Support Euro 7 Standard Implementation2024 SAE technical papers on CD-ROM/SAE technical paper series conference-paper Engineering Fault Detection and Control Systems Open access
Stella Canè, Lorenzo Brunelli, Volker Müller, Giuseppe Sammito, Tobias Brinkmann, Joschka Schaub, +1 more
0citations -
Unsupervised deep learning for defect detection on CT parts using simulated data2023 Research and Review Journal of Nondestructive Testing article Engineering Industrial Vision Systems and Defect Detection Open access
Virginia Florian, Christian Kretzer, Stefan Kasperl, Richard Schielein, Benjamin Montavon, Robert Heinrich Schmitt
0citations -
Applying Physics-Informed Enhanced Super-Resolution Generative Adversarial Networks to Turbulent Premixed Combustion and Engine-like Flame Kernel Direct Numerical Simulation Data2022 arXiv (Cornell University) preprint Physics and Astronomy Model Reduction and Neural Networks Open access
Mathis Bode, Michael Gauding, Dominik Goeb, Tobias Falkenstein, Heinz G. Pitsch
0citations