Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Sven Rothlubbers"'
Autor:
Jan Klein, Annika Gerken, Niklas Agethen, Sven Rothlübbers, Neeraj Upadhyay, Veronika Purrer, Carsten Schmeel, Valeri Borger, Maya Kovalevsky, Itay Rachmilevitch, Yeruham Shapira, Ullrich Wüllner, Jürgen Jenne
Publikováno v:
Frontiers in Neuroimaging, Vol 2 (2023)
IntroductionTranscranial focused ultrasound therapy (tcFUS) offers precise thermal ablation for treating Parkinson's disease and essential tremor. However, the manual fine-tuning of fiber tracking and segmentation required for accurate treatment plan
Externí odkaz:
https://doaj.org/article/9e6e2469429e4f998e3d74101bb36d93
Autor:
Amir Asif, Dongwoon Hyun, David Sinden, Ruud J. G. van Sloun, Sobhan Goudarzi, Muyinatu A. Lediju Bell, Sven Rothlubbers, Massimo Mischi, Hassan Rivaz, Yonina C. Eldar, Klaus Eickel, Alycen Wiacek, Jiaqi Huang, Hannah Strohm
Publikováno v:
IEEE transactions on ultrasonics, ferroelectrics, and frequency control
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 68(12):9475029, 3466-3483. Institute of Electrical and Electronics Engineers
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 68(12):9475029, 3466-3483. Institute of Electrical and Electronics Engineers
Deep learning for ultrasound image formation is rapidly garnering research support and attention, quickly rising as the latest frontier in ultrasound image formation, with much promise to balance both image quality and display speed. Despite this pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bad6468b6c3a9771b4f37078195ca5a8
https://research.tue.nl/en/publications/68319d7e-dcf6-4f54-945c-6b2bd3e766bd
https://research.tue.nl/en/publications/68319d7e-dcf6-4f54-945c-6b2bd3e766bd
Publikováno v:
2022 IEEE International Ultrasonics Symposium (IUS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0110150dcfa563e0669aaa5ef3319b08
https://doi.org/10.1109/ius54386.2022.9958664
https://doi.org/10.1109/ius54386.2022.9958664
Publikováno v:
2021 IEEE International Ultrasonics Symposium (IUS).
The quality of ultrasound plane wave imaging benefits from compounding multiple angle acquisitions to reconstruct an image. However, the acquisition of additional data lowers the frame rate and – in presence of motion – the data integrity. This w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9416ade87088dae6fd1bdaf1fa602dd
https://doi.org/10.1109/ius52206.2021.9593392
https://doi.org/10.1109/ius52206.2021.9593392
Publikováno v:
2020 IEEE International Ultrasonics Symposium (IUS).
Classical ultrasound reconstruction applies model driven approaches to obtain ultrasound images from ultrasound raw data. With the emergence of Deep Learning however data driven approaches become feasible and can be explored. These can be used to tak
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24acaf8a93996133fad7129a939308bb
https://doi.org/10.1109/ius46767.2020.9251663
https://doi.org/10.1109/ius46767.2020.9251663
Autor:
Klaus Eickel, Hannah Strohm, Sven Rothlubbers, Vincent Kuhlen, Jürgen Jenne, Matthias Günther, David Sinden
Publikováno v:
2020 IEEE International Ultrasonics Symposium (IUS).
The emergence of data driven approaches such as Deep Learning has led to novel application of various aspects of science and engineering. It has recently entered the field of ultrasound image beamforming. In this work we investigate neural networks t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a998fab797fc8fa29e0742589f448c77
https://doi.org/10.1109/ius46767.2020.9251322
https://doi.org/10.1109/ius46767.2020.9251322
Publikováno v:
International Journal of Computer Assisted Radiology and Surgery
Purpose We investigate the feasibility of reconstructing ultrasound images directly from raw channel data using a deep learning network. Starting from the raw data, we present the network the full measurement information, allowing for a more generic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a008b41d6a38d66ba6ecbf52b96a0c2
https://publica.fraunhofer.de/handle/publica/263470
https://publica.fraunhofer.de/handle/publica/263470
Autor:
Tobias Benz, S Allaire, Julia Schwaab, D Lübke, M. A. Lediju Bell, Jan Rühaak, T Kipshagen, D Y F Chung, Matthias Günther, Nassir Navab, V. De Luca, Cristian Grozea, Sven Rothlubbers, O Somphone, Markus Kowarschik, Lars König, Satoshi Kondo, Christine Tanner, Amalia Cifor, Jürgen Jenne
Publikováno v:
Physics in Medicine and Biology
The Challenge on Liver Ultrasound Tracking (CLUST) was held in conjunction with the MICCAI 2014 conference to enable direct comparison of tracking methods for this application. This paper reports the outcome of this challenge, including setup, method
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::093a46ab37c04b4dbfe2be11d38cc629
http://europepmc.org/articles/PMC5454593
http://europepmc.org/articles/PMC5454593