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Autor/in
- Krüger, Julia
- Opfer, Roland 12
- Schlaefer, Alexander 11
- Schippling, Sven 7
- Ostwaldt, Ann-Christin 6
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Sprache
- Englisch 14
14 Einträge gefunden
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Automatic segmentation of the thalamus using a massively trained 3D convolutional neural network: higher sensitivity for the detection of reduced thalamus volume by improved inter-scanner stability
- Opfer, Roland
- Krüger, Julia
- Spies, Lothar
- Ostwaldt, Ann-Christin
- Kitzler, Hagen H.
- Schippling, Sven
- Buchert, Ralph
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Infratentorial lesions in multiple sclerosis patients: intra- and inter-rater variability in comparison to a fully automated segmentation using 3D convolutional neural networks
- Krüger, Julia
- Ostwaldt, Ann-Christin
- Spies, Lothar
- Geisler, Benjamin
- Schlaefer, Alexander
- Kitzler, Hagen H.
- Schippling, Sven
- Krüger, Julia
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Single-subject analysis of regional brain volumetric measures can be strongly influenced by the method for head size adjustment
2022 - Forschungsinformationssystem des UKE - frei zugänglich -
Data-efficient vision transformers for multi-label sisease classification on chest radiographs
2022 - TUHH Open Research - frei zugänglich -
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Three-dimensional deep learning with spatial erasing for unsupervised anomaly segmentation in brain MRI
2021 - TUHH Open Research - frei zugänglich -
Fully automated longitudinal segmentation of new or enlarged multiple sclerosis lesions using 3D convolutional neural networks
- Krüger, Julia
- Opfer, Roland
- Gessert, Nils Thorben
- Ostwaldt, Ann-Christin
- Manogaran, Paraveena
- Kitzler, Hagen H.
- Schlaefer, Alexander
- Krüger, Julia
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Automatic classification of dopamine transporter SPECT: deep convolutional neural networks can be trained to be robust with respect to variable image characteristics
- Wenzel, Markus
- Milletari, Fausto
- Krüger, Julia
- Lange, Catharina
- Schenk, Michael
- Apostolova, Ivayla
- Klutmann, Susanne
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