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Hannah Strohm

Showing results (1-10 of 7) with videos related to

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
A Stochastic Channel Model for Ultra Wideband In-Body CommunicationJan-Christoph Brumm, Hannah Strohm, Gerhard Bauch
International Journal of Computer Assisted Radiology and Surgery|June 5, 2020
Deep learning-based reconstruction of ultrasound images from raw channel dataHannah Strohm, Sven Rothlübbers, Klaus Eickel, et al.
International Journal of Computer Assisted Radiology and Surgery|November 5, 2022
MR-CT multi-atlas registration guided by fully automated brain structure segmentation with CNNsSina Walluscheck, Luca Canalini, Hannah Strohm, et al.
International Journal of Computer Assisted Radiology and Surgery|June 12, 2024
Contraction assessment of abdominal muscles using automated segmentation designed for wearable ultrasound applicationsHannah Strohm, Sven Rothluebbers, Luis Perotti, et al.
Journal of Functional Morphology and Kinesiology|January 23, 2025
Learning Transversus Abdominis Activation in Older Adults with Chronic Low Back Pain Using an Ultrasound-Based Wearable: A Randomized Controlled Pilot StudyLuis Perotti, Oskar Stamm, Hannah Strohm, et al.
Journal of Medical Imaging (Bellingham, Wash.)|July 24, 2025
Deep-learning-based washout classification for decision support in contrast-enhanced ultrasound examinations of the liverHannah Strohm, Sven Rothlübbers, Jürgen Jenne, et al.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|July 5, 2021
Deep Learning for Ultrasound Image Formation: CUBDL Evaluation Framework and Open DatasetsDongwoon Hyun, Alycen Wiacek, Sobhan Goudarzi, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
A Stochastic Channel Model for Ultra Wideband In-Body CommunicationJan-Christoph Brumm, Hannah Strohm, Gerhard Bauch
International Journal of Computer Assisted Radiology and Surgery|June 5, 2020
Deep learning-based reconstruction of ultrasound images from raw channel dataHannah Strohm, Sven Rothlübbers, Klaus Eickel, et al.
International Journal of Computer Assisted Radiology and Surgery|November 5, 2022
MR-CT multi-atlas registration guided by fully automated brain structure segmentation with CNNsSina Walluscheck, Luca Canalini, Hannah Strohm, et al.
International Journal of Computer Assisted Radiology and Surgery|June 12, 2024
Contraction assessment of abdominal muscles using automated segmentation designed for wearable ultrasound applicationsHannah Strohm, Sven Rothluebbers, Luis Perotti, et al.
Journal of Functional Morphology and Kinesiology|January 23, 2025
Learning Transversus Abdominis Activation in Older Adults with Chronic Low Back Pain Using an Ultrasound-Based Wearable: A Randomized Controlled Pilot StudyLuis Perotti, Oskar Stamm, Hannah Strohm, et al.
Journal of Medical Imaging (Bellingham, Wash.)|July 24, 2025
Deep-learning-based washout classification for decision support in contrast-enhanced ultrasound examinations of the liverHannah Strohm, Sven Rothlübbers, Jürgen Jenne, et al.
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control|July 5, 2021
Deep Learning for Ultrasound Image Formation: CUBDL Evaluation Framework and Open DatasetsDongwoon Hyun, Alycen Wiacek, Sobhan Goudarzi, et al.
Pageof 1