Facetten
Zugriff
Einrichtung
Medientyp
- Text 25
Karte
Erscheinungsjahr
Autor/in
- Schlaefer, Alexander
- Neidhardt, Maximilian 10
- Sprenger, Johanna 8
- Latus, Sarah 5
- Bengs, Marcel 4
- alle zeigen
Sprache
- Englisch 25
25 Einträge gefunden
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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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Identification of the concentration‐dependent viscoelastic constitutive parameters of gelatin by combining computational mechanics and machine learning
- Abdolazizi, Kian Philipp
- Linka, Kevin
- Sprenger, Johanna
- Neidhardt, Maximilian
- Schlaefer, Alexander
- Cyron, Christian J.
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Parameter identification for ultrasound shear wave elastography simulation
2021 - TUHH Open Research - frei zugänglich -
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Deep learning for calcium segmentation in intravascular ultrasound images
- Holstein, Lennart
- Riedl, Katharina Alina
- Wissel, Tobias
- Brunner, Fabian J.
- Schaefers, Klaus
- Graß, Michael
- Blankenberg, Stefan
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Tracking heart surface features to determine myocardial contrast agent enrichment
- Sprenger, Johanna
- Petersen, Johannes
- Neumann, Niklas
- Reichenspurner, Hermann
- Russ, Detlef
- Detter, Christian
- Schlaefer, Alexander
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Needle insertion planning for obstacle avoidance in robotic biopsy
- Gerlach, Stefan
- Neidhardt, Maximilian
- Weiß, Thorben
- Laves, Max-Heinrich
- Stapper, Carolin
- Gromniak, Martin
- Kniep, Inga
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Three-dimensional deep learning with spatial erasing for unsupervised anomaly segmentation in brain MRI
2021 - TUHH Open Research - frei zugänglich -
Collaborative robot assisted smart needle placement
- Neidhardt, Maximilian
- Gerlach, Stefan
- Laves, Max-Heinrich
- Latus, Sarah
- Stapper, Carolin
- Gromniak, Martin
- Schlaefer, Alexander
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Multi-scale input strategies for medulloblastoma tumor classification using deep transfer learning
2021 - TUHH Open Research - frei zugänglich -
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