Zobrazeno 1 - 5
of 5
pro vyhledávání: '"José D Tascón-Vidarte"'
Autor:
José D Tascón-Vidarte, Line Bjerregaard Stick, Mirjana Josipovic, Signe Risum, Julien Jomier, Kenny Erleben, Ivan Richter Vogelius, Sune Darkner
Publikováno v:
PLoS ONE, Vol 17, Iss 7, p e0271064 (2022)
We investigate the accuracy of intensity-based deformable image registration (DIR) for tumor localization in liver stereotactic body radiotherapy (SBRT). We included 4DCT scans to capture the breathing motion of eight patients receiving SBRT for live
Externí odkaz:
https://doaj.org/article/82e2733baedf43939572789844b04215
Autor:
Alex Willumsen, Jens Midtgaard, Bo Jespersen, Christoffer K K Hansen, Salina N Lam, Sabine Hansen, Ron Kupers, Martin E Fabricius, Minna Litman, Lars Pinborg, José D Tascón-Vidarte, Anne Sabers, Per E Roland
Publikováno v:
Cerebral cortex communications. 3(4)
A major goal of neuroscience is to reveal mechanisms supporting collaborative actions of neurons in local and larger-scale networks. However, no clear overall principle of operation has emerged despite decades-long experimental efforts. Here, we used
Autor:
José D. Tascón-Vidarte, Line Bjerregaard Stick, Mirjana Josipovic, Signe Risum, Julien Jomier, Kenny Erleben, Ivan Richter Vogelius, Sune Darkner
Publikováno v:
Tascon-Vidarte, J D, Stick, L B, Josipovic, M, Risum, S, Jomier, J, Erleben, K, Vogelius, I R & Darkner, S 2022, ' Accuracy and consistency of intensity-based deformable image registration in 4DCT for tumor motion estimation in liver radiotherapy planning ', PLoS ONE, vol. 17, no. 7 July, e0271064, pp. 1-15 . https://doi.org/10.1371/journal.pone.0271064
We investigate the accuracy of intensity-based deformable image registration (DIR) for tumor localization in liver stereotactic body radiotherapy (SBRT). We included 4DCT scans to capture the breathing motion of eight patients receiving SBRT for live
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6edefde45c5beb16e52ba74db4ebbba9
https://curis.ku.dk/ws/files/314151008/Accuracy_and_consistency_of_intensity_based.pdf
https://curis.ku.dk/ws/files/314151008/Accuracy_and_consistency_of_intensity_based.pdf
Autor:
Faezeh Moshfeghifar, Max Kragballe Nielsen, José D. Tascón-Vidarte, Sune Darkner, Kenny Erleben
Publikováno v:
Computational Biomechanics for Medicine ISBN: 9783031093265
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ba125826b3cd9e2d4adf55f5adffda4
https://doi.org/10.1007/978-3-031-09327-2_11
https://doi.org/10.1007/978-3-031-09327-2_11
Publikováno v:
University of Copenhagen
Darkner, S, Vidarte, J D T & Lauze, F 2021, First Order Locally Orderless Registration . in A Elmoataz, J Fadili, Y Quéau, J Rabin & L Simon (eds), Scale Space and Variational Methods in Computer Vision-8th International Conference, SSVM 2021, Proceedings . Springer, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12679 LNCS, pp. 177-188, 8th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2021, Virtual, Online, 16/05/2021 . https://doi.org/10.1007/978-3-030-75549-2_15
Darkner, S, Vidarte, J D T & Lauze, F 2021, First Order Locally Orderless Registration . in A Elmoataz, J Fadili, Y Quéau, J Rabin & L Simon (eds), Scale Space and Variational Methods in Computer Vision-8th International Conference, SSVM 2021, Proceedings . Springer, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12679 LNCS, pp. 177-188, 8th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2021, Virtual, Online, 16/05/2021 . https://doi.org/10.1007/978-3-030-75549-2_15
First Order Locally Orderless Registration (FLOR) is a scale-space framework for image density estimation used for defining image similarity, mainly for Image Registration. The Locally Orderless Registration framework was designed in principle to use
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::317a28d73040808d3919fd4a754662d9