Fraunhofer Institute for Digital Medicine MEVIS
Fraunhofer Institute for Digital Medicine MEVIS

Hannah Strohm

  • Research Scientist
  • Deep Learning
  • Electrical Engineer

Publications

2023

Walluscheck S, Canalini L, Strohm H, Diekmann S, Klein J, Heldmann S (2023) MR-CT multi-atlas registration guided by fully automated brain structure segmentation with CNNs. Int J CARS 18:483–491
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2022

Strohm H, Kuhlen V, Jenne J, Günther M, Rothlübbers S (2022) Effect of Geometric and Transmit Corrections on Global Speed of Sound Estimation. Proceedings of the IEEE International Ultrasonics Symposium (IUS). pp 1–4
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2021

Hyun D, Wiacek A, Goudarzi S, Rothluebbers S, Asif A, Eickel K, Eldar Y, Huang J, Mischi M Rivaz H, Sinden D, van Sloun RJG, Strohm H, Bell MAL (2021) Deep Learning for Ultrasound Image Formation: CUBDL Evaluation Framework & Open Datasets. IEEE Trans Ultrason Ferroelectr Freq Control 68(12):3466–3483
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2020

Rothluebbers S, Strohm H, Eickel K, Jenne J, Kuhlen V, Sinden D, Günther M (2020) Improving Image Quality of Single Plane Wave Ultrasound via Deep Learning Based Channel Compounding. IEEE International Ultrasonics Symposium
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Strohm H, Rothlübbers S, Eickel K, Günther M (2020) Deep learning-based reconstruction of ultrasound images from raw channel data. Int J CARS 15:1487–1490
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Strohm H, Rothluebbers S, Eickel K, Günther M (2020) Beyond Classical Ultrasound Contrast via Deep Neural Networks. IEEE International Ultrasonics Symposium
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