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Sebastian Niehaus
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Multi-stage reinforcement learning for object detection
J König, S Malberg, M Martens, S Niehaus, A Krohn-Grimberghe, ...
Advances in Computer Vision: Proceedings of the 2019 Computer Vision …, 2020
232020
Comparative analysis of machine learning algorithms for multi-syndrome classification of neurodegenerative syndromes
L Lampe, S Niehaus, HJ Huppertz, A Merola, J Reinelt, K Mueller, ...
Alzheimer's research & therapy 14 (1), 62, 2022
172022
Multiclass prediction of different dementia syndromes based on multi-centric volumetric MRI imaging
L Lampe, HJ Huppertz, S Anderl-Straub, F Albrecht, T Ballarini, ...
NeuroImage: Clinical 37, 103320, 2023
162023
A standardized clinical data harmonization pipeline for scalable ai application deployment (fhir-dhp): Validation and usability study
E Williams, M Kienast, E Medawar, J Reinelt, A Merola, SAI Klopfenstein, ...
JMIR Medical Informatics 11, e43847, 2023
132023
Domain specific cues improve robustness of deep learning based segmentation of ct volumes
M Kloenne, S Niehaus, L Lampe, A Merola, J Reinelt, I Roeder, N Scherf
Scientific Reports (Nature Publisher Group), 2020, 2019
132019
A comparative study of semi-and self-supervised semantic segmentation of biomedical microscopy data
N Horlava, A Mironenko, S Niehaus, S Wagner, I Roeder, N Scherf
arXiv preprint arXiv:2011.08076, 2020
62020
Automatic quality control framework for more reliable integration of machine learning-based image segmentation into medical workflows
E Williams, S Niehaus, J Reinelt, A Merola, PG Mihai, K Villringer, ...
arXiv preprint arXiv:2112.03277, 2021
32021
Quality control for more reliable integration of deep learning-based image segmentation into medical workflows
E Williams, S Niehaus, J Reinelt, A Merola, PG Mihai, I Roeder, N Scherf, ...
22021
How to predict relapse in leukemia using time series data: A comparative in silico study
H Hoffmann, C Baldow, T Zerjatke, A Gottschalk, S Wagner, E Karg, ...
Plos one 16 (11), e0256585, 2021
22021
System and method for the quality assurance of data-based models
S Niehaus, M Diebold, J Reinelt, D Lichterfeld
US Patent App. 17/788,025, 2023
12023
FHIR-DHP: A Standardized Clinical Data Harmonisation Pipeline for scalable AI application deployment
E Williams, M Kienast, E Medawar, J Reinelt, A Merola, ...
medRxiv, 2022.11. 07.22281564, 2022
12022
System for the automated harmonisation of structured data from different capture devices
S Niehaus, D Lichterfeld, M Diebold, J Reinelt
US Patent App. 18/043,418, 2024
2024
Classifier system and method for generating classification models in a distributed manner
S Niehaus, M Diebold, D Lichterfeld
US Patent App. 17/609,252, 2022
2022
Automated quality monitoring for more reliable integration of neural networks into medical workflows
S Niehaus
AI. Lounge (Data Science/AI in Lifescience), 2022
2022
MACHINE LEARNING FOR BUILDINGS’ ENERGY CONSUMPTION PREDICTION IN EARLY DESIGN PHASES
S Elmers, A Hollberg
BauSim Conference Proceedings 9, 2022
2022
Ein Ansatz zur Einführung von Complex Event Processing zum workfloworientierten Software-Monitoring
S Niehaus
Gesellschaft für Informatik eV, 2016
2016
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Articles 1–16