Zobrazeno 1 - 10
of 15
pro vyhledávání: '"David Kügler"'
Publikováno v:
NeuroImage, Vol 275, Iss , Pp 120176- (2023)
Head motion during MR acquisition reduces image quality and has been shown to bias neuromorphometric analysis. The quantification of head motion, therefore, has both neuroscientific as well as clinical applications, for example, to control for motion
Externí odkaz:
https://doaj.org/article/2df101c467ef44b583677ba984c74e9b
Autor:
Jennifer Faber, David Kügler, Emad Bahrami, Lea-Sophie Heinz, Dagmar Timmann, Thomas M. Ernst, Katerina Deike-Hofmann, Thomas Klockgether, Bart van de Warrenburg, Judith van Gaalen, Kathrin Reetz, Sandro Romanzetti, Gulin Oz, James M. Joers, Jorn Diedrichsen, Martin Reuter, Paola Giunti, Hector Garcia-Moreno, Heike Jacobi, Johann Jende, Jeroen de Vries, Michal Povazan, Peter B. Barker, Katherina Marie Steiner, Janna Krahe
Publikováno v:
NeuroImage, Vol 264, Iss , Pp 119703- (2022)
Quantifying the volume of the cerebellum and its lobes is of profound interest in various neurodegenerative and acquired diseases. Especially for the most common spinocerebellar ataxias (SCA), for which the first antisense oligonculeotide-base gene s
Externí odkaz:
https://doaj.org/article/fda98a646f86424daa91258742f29642
Publikováno v:
NeuroImage, Vol 251, Iss , Pp 118933- (2022)
Leading neuroimaging studies have pushed 3T MRI acquisition resolutions below 1.0 mm for improved structure definition and morphometry. Yet, only few, time-intensive automated image analysis pipelines have been validated for high-resolution (HiRes) s
Externí odkaz:
https://doaj.org/article/87c6b9fcfb654350ab868ab4209b7957
Autor:
Andrei Stefanov, Igor Stenin, Jannik Sehring, Julia Kristin, Jörg Schipper, David Kügler, Anirban Mukhopadhyay, Thomas Klenzner
Publikováno v:
International journal of computer assisted radiology and surgery 15(7), 1137-1145 (2020). doi:10.1007/s11548-020-02157-4
International Journal of Computer Assisted Radiology and Surgery
International Journal of Computer Assisted Radiology and Surgery
Purpose: Accurate estimation of the position and orientation (pose) of surgical instruments is crucial for delicate minimally invasive temporal bone surgery. Current techniques lack in accuracy and/or line-of-sight constraints (conventional tracking
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031164422
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::17e2957a3a28784611b884ce9cbe320a
https://doi.org/10.1007/978-3-031-16443-9_34
https://doi.org/10.1007/978-3-031-16443-9_34
Publikováno v:
Cham : Springer International Publishing, Mathematics and Visualization 81-93 (2021). doi:10.1007/978-3-030-73018-5_7
Computational Diffusion MRI / Gyori, Noemi (Editor) ; Cham : Springer International Publishing, 2021, Chapter 7 ; ISSN: 1612-3786=2197-666X ; ISBN: 978-3-030-73017-8=978-3-030-73018-5 ; doi:10.1007/978-3-030-73018-5
Computational Diffusion MRI / Gyori, Noemi (Editor) ; Cham : Springer International Publishing, 2021, Chapter 7 ; ISSN: 1612-3786=2197-666X ; ISBN: 978-3-030-73017-8=978-3-030-73018-5 ; doi:10.1007/978-3-030-73018-5Mathematics and Visualization book series (MATHVISUAL)
Computational Diffusion MRI ISBN: 9783030730178
Computational Diffusion MRI
Computational Diffusion MRI / Gyori, Noemi (Editor) ; Cham : Springer International Publishing, 2021, Chapter 7 ; ISSN: 1612-3786=2197-666X ; ISBN: 978-3-030-73017-8=978-3-030-73018-5 ; doi:10.1007/978-3-030-73018-5
Computational Diffusion MRI / Gyori, Noemi (Editor) ; Cham : Springer International Publishing, 2021, Chapter 7 ; ISSN: 1612-3786=2197-666X ; ISBN: 978-3-030-73017-8=978-3-030-73018-5 ; doi:10.1007/978-3-030-73018-5Mathematics and Visualization book series (MATHVISUAL)
Computational Diffusion MRI ISBN: 9783030730178
Computational Diffusion MRI
Deep learning approaches for diffusion MRI have so far focused primarily on voxel-based segmentation of lesions or white-matter fiber tracts. A drawback of representing tracts as volumetric labels, rather than sets of streamlines, is that it preclude
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::888b7461d1b0d58c5b28e1ab183d6503
Autor:
Ahmed Ghazy, Georgios Sakas, David Kügler, Judith Bredemann, Anirban Mukhopadhyay, Robert Schmitt, Bernhard Dorweiler, Sofie Hofmann, Henry Krumb
Publikováno v:
International journal of computer assisted radiology and surgery 15(6), 1043-1051 (2020). doi:10.1007/s11548-020-02189-w
International journal of computer assisted radiology and surgery 15(6), 1043-1051 (2020). doi:10.1007/s11548-020-02189-w special issue: "CARS 2020 Special Issue-Computer Assisted Radiology and Surgery, 34th International Congress and Exhibition-Part 1 / Issue editor: Heinz U. Lemke"
34. International Congress and Exhibition Computer Assisted Radiology and Surgery, CARS 2020, Munich, Germany, 2020-06-23-2020-06-27
International Journal of Computer Assisted Radiology and Surgery
International journal of computer assisted radiology and surgery 15(6), 1043-1051 (2020). doi:10.1007/s11548-020-02189-w special issue: "CARS 2020 Special Issue-Computer Assisted Radiology and Surgery, 34th International Congress and Exhibition-Part 1 / Issue editor: Heinz U. Lemke"
34. International Congress and Exhibition Computer Assisted Radiology and Surgery, CARS 2020, Munich, Germany, 2020-06-23-2020-06-27
International Journal of Computer Assisted Radiology and Surgery
International journal of computer assisted radiology and surgery (2020). doi:10.1007/s11548-020-02189-w
Published by Springer, Heidelberg [u.a.]
Published by Springer, Heidelberg [u.a.]
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e40e4b79c4881e2a5e16e43c9a76afd
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 ISBN: 9783030597153
MICCAI (3)
MICCAI (3)
Despite recent successes, the advances in Deep Learning have not yet been fully translated to Computer Assisted Intervention (CAI) problems such as pose estimation of surgical instruments. Currently, neural architectures for classification and segmen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::942c8b2d83ce51a8879a5ce94ff94d8e
https://doi.org/10.1007/978-3-030-59716-0_36
https://doi.org/10.1007/978-3-030-59716-0_36
Autor:
Georg Schett, Fan Wu, Nikolay Delev, Ruth Salmon, Jerill Thorpe, Amitkumar Mehta, Tatyana Feldman, Jeremy Abramson, Boyu Hu, Fabien Müller, Ashley Koegel, Divya Varun, Alison Maier, David Kugler, Matthew Westoby
Publikováno v:
Lupus Science and Medicine, Vol 11, Iss Suppl 1 (2024)
Externí odkaz:
https://doaj.org/article/ac8828bfb2494c95a4e57d7e20c595b5
Publikováno v:
Biomedical Signal Processing and Control. 34:16-24
Robot-based tracking of spontaneous respiration-triggered motion of human tissue becomes increasingly important in robot-guided imaging, interventional radiology, surgery and radiotherapy. This work provides a first general comparative assessment of