Fraunhofer Institute for Digital Medicine MEVIS- Senior Scientist Ultrasound Data Analysis
- Co-Chair Accessible Dynamic Imaging
- Physicist
Dr. rer. nat. Sven Rothlübbers
Publications
2024
Strohm H, Rothluebbers S, Perotti L, Stamm O, Fournelle M, Jenne J, Guenther M (2024) Contraction assessment of abdominal muscles using automated segmentation designed for wearable ultrasound applications. IJCARS
2023
Klein J, Gerken A, Agethen N, Rothlübbers S, Upadhyay N, Purrer V, Schmeel C, Borger V, Kovalevsky M, Rachmilevitch I, Shapira Y, Wüllner U, Jenne J (2023) Automatic planning of MR-guided transcranial focused ultrasound treatment for essential tremor. Front. Neuroimaging, Sec. Brain Imaging Methods 2
Ritter P, Rothlübbers S, Becker R, Freyer F, Villringer A (2023) EEG Quality: The Image Acquisition Artefact. In: Mulert C, Lemieux L (eds) EEG – fMRI. Springer, Cham, pp 189–212
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
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
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
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
Strohm H, Rothluebbers S, Eickel K, Günther M (2020) Beyond Classical Ultrasound Contrast via Deep Neural Networks. IEEE International Ultrasonics Symposium
2018
Rothlübbers S (2018) Motion Tracking for Medical Applications using Hierarchical Filter Models. Ph.D. thesis
2017
Schwenke M, Strehlow J, Demedts D, Haase S, Barrios Romero D, Rothlübbers S, von Dresky C, Zidowitz S, Georgii J, Mihcin S, Bezzi M, Tanner C, Sat G, Levy Y, Jenne J, Günther M, Melzer A, Preusser T (2017) A focused ultrasound treatment system for moving targets (part I): generic system design and in-silico first-stage evaluation. J Ther Ultrasound 5(1)
2015
De Luca V, Benz T, Kondo S, König L, Lübke D, Rothlübbers S, Somphone O, Allaire S, Bell MAL, Chung DYF, Cifor A, Grozea C, Günther M, Jenne J, Kipshagen T, Kowarschik M, Navab N, Rühaak J, Schwaab J, Tanner C (2015) The 2014 liver ultrasound tracking benchmark. Phys Med Biol 60(14):5571–5599
Guenther M, Bartscherer T, Georgii J, Hewener H, Kipshagen T, Ojdanic D, Kocev B, Lotz J, Olesch J, Rothluebbers S, Schwenke M, Speicher D, Tretbar S (2015) Towards MR-guided biopsy outside the MR-scanner: information fusion based on simultaneous ultrasound-MR imaging and real-time motion tracking. Proc. of CURAC 2015. pp 15–16
2014
Georgii J, Bartscherer T, Degel C, Fonfara H, Hewener H, Kipshagen T, Kocev B, Lotz J, Ojdanic D, Olesch J, Rothlübbers S, Speicher D, Tretbar S, Hahn HK, Günther M (2014) Improving Breast Biopsies by Motion Tracking. Proc. of Image-Guided Interventions (IGIC). pp 79–80
Rothlübbers S, Schwaab J, Jenne J, Günther M (2014) MICCAI CLUST 2014 – Bayesian Real-Time Liver Feature Ultrasound Tracking. Proc. MICCAI Challenge on Liver Ultrasound Tracking (CLUST 2014). Boston, USA, pp 45–52