Facetten
Zugriff
Einrichtung
Medientyp
- Text 28
Karte
Erscheinungsjahr
Autor/in
- Bengs, Marcel
- Schlaefer, Alexander 26
- Gessert, Nils Thorben 11
- Neidhardt, Maximilian 7
- Behrendt, Finn 6
- alle zeigen
Sprache
- Englisch 27
28 Einträge gefunden
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Optical force estimation for interactions between tool and soft tissues
2023 - TUHH Open Research - frei zugänglich -
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Ultrasound shear wave elasticity imaging with spatio-temporal deep learning
- Neidhardt, Maximilian
- Bengs, Marcel
- Latus, Sarah
- Gerlach, Stefan
- Cyron, Christian J.
- Sprenger, Johanna
- Schlaefer, Alexander
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Systematic analysis of volumetric ultrasound parameters for markerless 4D motion tracking
2022 - TUHH Open Research - frei zugänglich -
Supervised Contrastive Learning to Classify Paranasal Anomalies in the Maxillary Sinus
- Bhattacharya, Debayan
- Becker, Benjamin Tobias
- Behrendt, Finn
- Bengs, Marcel
- Beyersdorff, Dirk
- Eggert, Dennis
- Petersen, Elina
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In vivo detection of head and neck tumors by hyperspectral imaging combined with deep learning methods
- Eggert, Dennis
- Bengs, Marcel
- Westermann, Stephan
- Gessert, Nils
- Gerstner, Andreas O H
- Mueller, Nina A
- Bewarder, Julian
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4D deep learning for real-time volumetric optical coherence elastography
- Neidhardt, Maximilian
- Bengs, Marcel
- Latus, Sarah
- Schlüter, Matthias
- Saathoff, Thore
- Schlaefer, Alexander
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Medulloblastoma tumor classification using deep transfer learning with multi-scale EfficientNets
2021 - Forschungsinformationssystem des UKE -
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Three-dimensional deep learning with spatial erasing for unsupervised anomaly segmentation in brain MRI
2021 - TUHH Open Research - frei zugänglich -
Multi-scale input strategies for medulloblastoma tumor classification using deep transfer learning
2021 - TUHH Open Research - frei zugänglich -
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Spatio-temporal deep learning methods for motion estimation using 4D OCT image data
2020 - TUHH Open Research - frei zugänglich