Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Pål Erik, Goa"'
Autor:
Ingrid Framås Syversen, Menno P. Witter, Asgeir Kobro-Flatmoen, Pål Erik Goa, Tobias Navarro Schröder, Christian F. Doeller
Publikováno v:
NeuroImage, Vol 245, Iss , Pp 118723- (2021)
The medial (MEC) and lateral entorhinal cortex (LEC), widely studied in rodents, are well defined and characterized. In humans, however, the exact locations of their homologues remain uncertain. Previous functional magnetic resonance imaging (fMRI) s
Externí odkaz:
https://doaj.org/article/d962b4dc7ae34d87be57f139cc000a29
Autor:
Ingrid Framås Syversen, Mattijs Elschot, Elise Sandsmark, Helena Bertilsson, Tone Frost Bathen, Pål Erik Goa
Publikováno v:
PLoS ONE, Vol 16, Iss 5, p e0252387 (2021)
BackgroundMagnetic resonance imaging (MRI) is essential in the detection and staging of prostate cancer. However, improved tools to distinguish between low-risk and high-risk cancer are needed in order to select the appropriate treatment.PurposeTo in
Externí odkaz:
https://doaj.org/article/9a8fbd822d7b4f8bbed928b237a56986
Autor:
Anders M. Dale, Rebecca Rakow-Penner, Pål Erik Goa, Haydee Ojeda-Fournier, Tone F. Bathen, Agnes Østlie, Neil P. Jerome, Michael Hahn, Grace S. Ahn, Boya Abudu, Joshua Kuperman, Somaye Zare, Anne M. Wallace, Tyler M. Seibert, Igor Vidić, Christopher C. Conlin, Ana E. Rodríguez-Soto, Maren M. Sjaastad Andreassen
Purpose:Diffusion-weighted MRI (DW-MRI) is a contrast-free modality that has demonstrated ability to discriminate between predefined benign and malignant breast lesions. However, how well DW-MRI discriminates cancer from all other breast tissue voxel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6dd97cd359bad37ed71a1d5063c0cc74
https://doi.org/10.1158/1078-0432.c.6530007
https://doi.org/10.1158/1078-0432.c.6530007
Autor:
Anders M. Dale, Rebecca Rakow-Penner, Pål Erik Goa, Haydee Ojeda-Fournier, Tone F. Bathen, Agnes Østlie, Neil P. Jerome, Michael Hahn, Grace S. Ahn, Boya Abudu, Joshua Kuperman, Somaye Zare, Anne M. Wallace, Tyler M. Seibert, Igor Vidić, Christopher C. Conlin, Ana E. Rodríguez-Soto, Maren M. Sjaastad Andreassen
Mean (95% CI) for all performance measures the U.S. dataset (Supplementary Table S1) and European dataset (Supplementary Table S2). Median (interquartile range) for average signal of the cancer and control regions of interests (ROIs) for both dataset
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::127e5effcc0b5a243c4b72a5ced72010
https://doi.org/10.1158/1078-0432.22478631
https://doi.org/10.1158/1078-0432.22478631
Autor:
Anders M. Dale, Rebecca Rakow-Penner, Pål Erik Goa, Haydee Ojeda-Fournier, Tone F. Bathen, Agnes Østlie, Neil P. Jerome, Michael Hahn, Grace S. Ahn, Boya Abudu, Joshua Kuperman, Somaye Zare, Anne M. Wallace, Tyler M. Seibert, Igor Vidić, Christopher C. Conlin, Ana E. Rodríguez-Soto, Maren M. Sjaastad Andreassen
Probability density colormaps for the three-component model given C1 and C2 for all voxels per patient for (A.) cancer (cancer ROI) and (B.) healthy breast tissue (control ROI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::901d7555fbe3d510992a916ebf5d6c1a
https://doi.org/10.1158/1078-0432.22478628.v1
https://doi.org/10.1158/1078-0432.22478628.v1
Autor:
Anders M. Dale, Rebecca Rakow-Penner, Pål Erik Goa, Haydee Ojeda-Fournier, Tone F. Bathen, Agnes Østlie, Neil P. Jerome, Michael Hahn, Grace S. Ahn, Boya Abudu, Joshua Kuperman, Somaye Zare, Anne M. Wallace, Tyler M. Seibert, Igor Vidić, Christopher C. Conlin, Ana E. Rodríguez-Soto, Maren M. Sjaastad Andreassen
Probability density colormaps for the three-component model given C1 and C2 for all voxels per patient for (A.) cancer (cancer ROI) and (B.) healthy breast tissue (control ROI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::199bc69b5e218b5d0874df671f4f7905
https://doi.org/10.1158/1078-0432.22478622
https://doi.org/10.1158/1078-0432.22478622
Autor:
Anders M. Dale, Rebecca Rakow-Penner, Pål Erik Goa, Haydee Ojeda-Fournier, Tone F. Bathen, Agnes Østlie, Neil P. Jerome, Michael Hahn, Grace S. Ahn, Boya Abudu, Joshua Kuperman, Somaye Zare, Anne M. Wallace, Tyler M. Seibert, Igor Vidić, Christopher C. Conlin, Ana E. Rodríguez-Soto, Maren M. Sjaastad Andreassen
Probability density colormaps for the three-component model given C1 and C2 for all voxels per patient for (A.) cancer (cancer ROI) and (B.) healthy breast tissue (control ROI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6315cbfcf3c42dca24e79cac91553033
https://doi.org/10.1158/1078-0432.22478625.v1
https://doi.org/10.1158/1078-0432.22478625.v1
Autor:
Agnes Østlie, Maren M. Sjaastad Andreassen, Somaye Y. Zare, Rebecca Rakow-Penner, Christopher C. Conlin, Joshua M. Kuperman, Pål Erik Goa, Grace S. Ahn, Ana E. Rodríguez-Soto, Michael E. Hahn, Boya Abudu, Tyler M. Seibert, Neil P. Jerome, Tone Frost Bathen, Anders M. Dale, Haydee Ojeda-Fournier, Igor Vidic, Anne M. Wallace
Publikováno v:
Clin Cancer Res
Clinical cancer research : an official journal of the American Association for Cancer Research, vol 27, iss 4
Clinical cancer research : an official journal of the American Association for Cancer Research, vol 27, iss 4
Purpose: Diffusion-weighted MRI (DW-MRI) is a contrast-free modality that has demonstrated ability to discriminate between predefined benign and malignant breast lesions. However, how well DW-MRI discriminates cancer from all other breast tissue voxe
Autor:
Roshan Karunamuni, Neil P. Jerome, Liv Egnell, Igor Vidic, Pål Erik Goa, Tone Frost Bathen, Anders M. Dale, Nathan S. White, Rebecca Rakow-Penner
Publikováno v:
Magnetic Resonance in Medicine
Purpose To evaluate different non‐Gaussian representations for the diffusion‐weighted imaging (DWI) signal in the b‐value range 200 to 3000 s/mm2 in benign and malignant breast lesions. Methods Forty‐three patients diagnosed with benign (n =
Autor:
Runa Geirmundsdatter Unsgård, Thanh P. Doan, Knut Kristian Nordlid, Kjell Arne Kvistad, Pål Erik Goa, Erik Magnus Berntsen
Publikováno v:
Neuroradiology
Purpose To assess the ability of 7 T MRI to detect hippocampal DWI lesions in the acute phase of TGA compared to 1.5 T/3 T MRI. Methods Patients with a clinical diagnosis consistent with TGA and a 1.5/3 T MRI underwent an additional 7 T MRI when the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d196836a27d1092c023fe22261d3879
https://hdl.handle.net/11250/3063119
https://hdl.handle.net/11250/3063119