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ORCIDMaximilian P. Oppelt
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2020 – today
- 2024
[j2]Andreas Foltyn, Jessica Deuschel, Nadine R. Lang-Richter, Nina Holzer, Maximilian P. Oppelt:
Evaluating the robustness of multimodal task load estimation models. Frontiers Comput. Sci. 6 (2024)- 2023
- [j1]Maximilian P. Oppelt, Andreas Foltyn, Jessica Deuschel, Nadine R. Lang, Nina Holzer, Bjoern M. Eskofier
, Seung Hee Yang:
ADABase: A Multimodal Dataset for Cognitive Load Estimation. Sensors 23(1): 340 (2023) - 2022
- [c4]Jingna Qiu, Maximilian P. Oppelt, Michael Nissen, Lars Anneken, Katharina Breininger, Bjoern M. Eskofier:
Improving Deep Learning-based Cardiac Abnormality Detection in 12-Lead ECG with Data Augmentation. EMBC 2022: 945-949 - 2021
- [c3]Bitan Saha, Linda Becker, Jens-Uwe Garbas, Maximilian P. Oppelt, Andreas Foltyn, Sebastian Hettenkofer, Nadine Lang, Matthias Struck, Nicolas Rohleder, Bhargavi Mahesh:
Investigation of Relation between Physiological Responses and Personality during Stress Recovery. PerCom Workshops 2021: 57-62 - 2020
- [c2]Maximilian P. Oppelt, Maximilian Riehl, Felix P. Kemeth, Jan Steffan:
Combining Scatter Transform and Deep Neural Networks for Multilabel Electrocardiogram Signal Classification. CinC 2020: 1-4 - [i1]Maximilian P. Oppelt, Maximilian Riehl, Felix P. Kemeth, Jan Steffan:
Combining Scatter Transform and Deep Neural Networks for Multilabel Electrocardiogram Signal Classification. CoRR abs/2010.07639 (2020)
2010 – 2019
- 2015
- [c1]Maximilian P. Oppelt, James C. Sanders, Andreas K. Maier:
Investigation of Single Photon Emission Computed Tomography Acquired on Helical Trajectories. Bildverarbeitung für die Medizin 2015: 504-509
Coauthor Index
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