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Hannah Strohm
Hannah Strohm
Fraunhofer Society
Artificial intelligence
Deep learning
Ultrasound
Computer science
Compounding
5
Papers
13
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0
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Deep Learning Based Angular Compounding for Accelerated Plane Wave Ultrasound Imaging
2021
IUS | Internaltional Ultrasonics Symposium
Hannah Strohm
Sven Rothlübbers
Jürgen Jenne
Matthias Günther
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Deep Learning for Ultrasound Image Formation: CUBDL Evaluation Framework & Open Datasets.
2021
IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control
Dongwoon Hyun
Alycen Wiacek
Sobhan Goudarzi
Sven Rothlübbers
Amir Asif
Klaus Eickel
Yonina C. Eldar
Jiaqi Huang
Massimo Mischi
Hassan Rivaz
David Sinden
Ruud J. G. van Sloun
Hannah Strohm
Muyinatu A. Lediju Bell
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Improving Image Quality of Single Plane Wave Ultrasound via Deep Learning Based Channel Compounding
2020
IUS | Internaltional Ultrasonics Symposium
Sven Rothlübbers
Hannah Strohm
Klaus Eickel
Jürgen W. Jenne
Vincent Kuhlen
David Sinden
Matthias Günther
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Deep learning-based reconstruction of ultrasound images from raw channel data.
2020
International Journal of Computer Assisted Radiology and Surgery
Hannah Strohm
Sven Rothlübbers
Klaus Eickel
Matthias Günther
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Beyond Classical Ultrasound Contrast via Deep Neural Networks
2020
IUS | Internaltional Ultrasonics Symposium
Hannah Strohm
Sven Rothlübbers
Klaus Eickel
Matthias Günther
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