Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Sverre Langørgen"'
Autor:
Eirik Kjøbli, Øyvind Salvesen, Sverre Langørgen, Øystein Størkersen, Arne Wibe, Carl‐Jørgen Arum
Publikováno v:
BJUI Compass, Vol 4, Iss 2, Pp 195-205 (2023)
Abstract Objectives To reduce recurrence after radical cystectomy (RC), we developed a technique based on the principles of the circumferential resection margin used during total mesorectal excision for rectal cancer, namely, en bloc radical cystecto
Externí odkaz:
https://doaj.org/article/8425e77c8a0c4e378e7613f4194dee82
Autor:
Alexandros Patsanis, Mohammed R.S. Sunoqrot, Sverre Langørgen, Hao Wang, Kirsten M. Selnæs, Helena Bertilsson, Tone F. Bathen, Mattijs Elschot
Publikováno v:
Informatics in Medicine Unlocked, Vol 39, Iss , Pp 101234- (2023)
Generative Adversarial Networks (GANs) have shown potential in medical imaging. In this study, several previously developed GANs were investigated for prostate cancer (PCa) detection on T2-weighted (T2W) magnetic resonance images (MRI).T2W MRI from a
Externí odkaz:
https://doaj.org/article/79fd3fce1f8c4a7fb4b453f54f276398
Autor:
Brage Krüger-Stokke, Helena Bertilsson, Sverre Langørgen, Torill Anita Eidhammer Sjøbakk, Tone Frost Bathen, Kirsten Margrete Selnæs
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
ObjectivesThis study aims to prospectively estimate the diagnostic performance of multiparametric prostate MRI (mpMRI) and compare the detection rates of prostate cancer using cognitive targeted transrectal ultrasound (TRUS) guided biopsies, targeted
Externí odkaz:
https://doaj.org/article/33bfc7b66a4c4050ac700af508ab89e9
Autor:
Kirsten Margrete Selnæs, Brage Krüger-Stokke, Mattijs Elschot, Håkon Johansen, Per Arvid Steen, Sverre Langørgen, Bjørg Yksnøy Aksnessæther, Gunnar Indrebø, Torill Anita Eidhammer Sjøbakk, May-Britt Tessem, Siver Andreas Moestue, Heidi Knobel, Torgrim Tandstad, Helena Bertilsson, Arne Solberg, Tone Frost Bathen
Publikováno v:
Frontiers in Oncology, Vol 10 (2020)
ObjectiveSimultaneous PET/MRI combines soft-tissue contrast of MRI with high molecular sensitivity of PET in one session. The aim of this prospective study was to evaluate detection rates of recurrent prostate cancer by 18F-fluciclovine PET/MRI.Metho
Externí odkaz:
https://doaj.org/article/72abee93ba91426aa8cb05864817b5aa
Autor:
Mohammed R. S. Sunoqrot, Kirsten M. Selnæs, Elise Sandsmark, Sverre Langørgen, Helena Bertilsson, Tone F. Bathen, Mattijs Elschot
Publikováno v:
Diagnostics, Vol 11, Iss 9, p 1690 (2021)
Volume of interest segmentation is an essential step in computer-aided detection and diagnosis (CAD) systems. Deep learning (DL)-based methods provide good performance for prostate segmentation, but little is known about the reproducibility of these
Externí odkaz:
https://doaj.org/article/7c7dbb665f3e4953a8cdc0dfca74dee3
Autor:
Kaia Ingerdatter Sørland, Mohammed R. S. Sunoqrot, Elise Sandsmark, Sverre Langørgen, Helena Bertilsson, Christopher G. Trimble, Gigin Lin, Kirsten M. Selnæs, Pål E. Goa, Tone F. Bathen, Mattijs Elschot
Publikováno v:
Magnetic Resonance Materials in Physics, Biology and Medicine
Objective Signal intensity normalization is necessary to reduce heterogeneity in T2-weighted (T2W) magnetic resonance imaging (MRI) for quantitative analysis of multicenter data. AutoRef is an automated dual-reference tissue normalization method that
Autor:
Tone Frost Bathen, Elise Sandsmark, Kirsten Margrete Selnæs, Mohammed R. S. Sunoqrot, Helena Bertilsson, Sverre Langørgen, Mattijs Elschot
Publikováno v:
Diagnostics
Volume 11
Issue 9
Diagnostics (Basel)
Diagnostics, Vol 11, Iss 1690, p 1690 (2021)
Volume 11
Issue 9
Diagnostics (Basel)
Diagnostics, Vol 11, Iss 1690, p 1690 (2021)
Volume of interest segmentation is an essential step in computer-aided detection and diagnosis (CAD) systems. Deep learning (DL)-based methods provide good performance for prostate segmentation, but little is known about the reproducibility of these
Autor:
Tone Frost Bathen, Helena Bertilsson, Peter T. While, Daniel Chen Billdal, Sverre Langørgen, Mohammed R. S. Sunoqrot, Kirsten Margrete Selnæs, Mattijs Elschot
Publikováno v:
Journal of Magnetic Resonance Imaging
Background Relative enhanced diffusivity (RED) is a potential biomarker for indirectly measuring perfusion in tissue using diffusion‐weighted magnetic resonance imaging (MRI) with 3 b values. Purpose To optimize the RED MRI protocol for the prostat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e6d9cca2b18a43fa100d73420741087
https://hdl.handle.net/11250/2638762
https://hdl.handle.net/11250/2638762