Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Agnes, Østlie"'
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb16f7ef55f65414df6908febe3483b7
https://doi.org/10.1158/1078-0432.ccr-20-2017
https://doi.org/10.1158/1078-0432.ccr-20-2017
Autor:
Ana E. Rodríguez‐Soto, Maren M. Sjaastad Andreassen, Lauren K. Fang, Christopher C. Conlin, Helen H. Park, Grace S. Ahn, Hauke Bartsch, Joshua Kuperman, Igor Vidić, Haydee Ojeda‐Fournier, Anne M. Wallace, Michael Hahn, Tyler M. Seibert, Neil Peter Jerome, Agnes Østlie, Tone Frost Bathen, Pål Erik Goa, Rebecca Rakow‐Penner, Anders M. Dale
Publikováno v:
Magn Reson Med
PURPOSE: Restriction spectrum imaging (RSI) decomposes the diffusion-weighted (DW) MRI signal into separate diffusion components of known apparent diffusion coefficients (ADCs). The number of diffusion components and optimal ADCs for RSI are organ-sp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ffe3fa5405150ab34eca575d7e1c9029
https://pubmed.ncbi.nlm.nih.gov/34904726
https://pubmed.ncbi.nlm.nih.gov/34904726
Autor:
Torill Eidhammer Sjøbakk, Hans E. Fjøsne, Tone Frost Bathen, Pål Erik Goa, Liv Egnell, Igor Vidic, Agnes Østlie, Neil P. Jerome
Publikováno v:
NMR in biomedicineREFERENCES. 34(7)
Diffusion-weighted MRI (DWI) is an important tool for oncology research, with great clinical potential for the classification and monitoring of breast lesions. The utility of parameters derived from DWI, however, is influenced by specific analysis ch
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4bcc9dcd4c15c98db1ebb5acecf735e3
https://pubmed.ncbi.nlm.nih.gov/33738878
https://pubmed.ncbi.nlm.nih.gov/33738878
Autor:
Somaye Zare, Haydee Ojeda-Fournier, Maren M. Sjaastad Andreassen, Tone Frost Bathen, Anders M. Dale, Rebecca Rakow-Penner, Pål Erik Goa, Grace S. Ahn, Igor Vidić, Boya Abudu, Ana E. Rodríguez-Soto, Tyler M. Seibert, Joshua M. Kuperman, Agnes Østlie, Neil P. Jerome, Michael Hahn, Anne M. Wallace, Christopher C. Conlin
PurposeDiffusion-weighted magnetic resonance imaging (DW-MRI) is a contrast-free modality that has demonstrated ability to discriminate between pre-defined benign and malignant breast lesions. However, the ability of DW-MRI to discriminate cancer tis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08d15257ee53cebf4d9edd36af526fc5
https://doi.org/10.1101/2020.09.03.20179481
https://doi.org/10.1101/2020.09.03.20179481
Autor:
Maren M. Sjaastad Andreassen, Agnes Østlie, Hans Petter Eikesdal, Callie Deng, Roja Hedayati, Tone Frost Bathen, Neil P. Jerome, Pål Erik Goa, Torill Eidhammer Sjøbakk, Steinar Lundgren
Publikováno v:
Magma (New York, N.y.)
Magnetic Resonance Materials in Physics, Biology and Medicine
Magnetic Resonance Materials in Physics, Biology and Medicine
Objectives To investigate the reliability of simultaneous positron emission tomography and magnetic resonance imaging (PET/MRI)-derived biomarkers using semi-automated Gaussian mixture model (GMM) segmentation on PET images, against conventional manu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56da578eb356d69db80d8c5d5703e2d1
http://hdl.handle.net/11250/2640389
http://hdl.handle.net/11250/2640389