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Are Losnegård

Showing results (1-10 of 9) with videos related to

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Frontiers in Neuroinformatics|July 31, 2013
White matter fiber tracking directed by interpolating splines and a methodological framework for evaluationAre Losnegård, Arvid Lundervold, Erlend Hodneland
Physics in Medicine and Biology|September 3, 2010
Semi-automated segmentation of the sigmoid and descending colon for radiotherapy planning using the fast marching methodAre Losnegård, Liv Bolstad Hysing, Ludvig Paul Muren, et al.
Journal of Neuroscience Methods|January 25, 2017
Semi-automatic 3D morphological reconstruction of neurons with densely branching morphology: Application to retinal AII amacrine cells imaged with multi-photon excitation microscopyBas-Jan Zandt, Are Losnegård, Erlend Hodneland, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|December 26, 2017
Intensity-based volumetric registration of magnetic resonance images and whole-mount sections of the prostateAre Losnegård, Lars Reisæter, Ole J Halvorsen, et al.
Radiology. Imaging Cancer|March 29, 2021
Assessing Extraprostatic Extension with Multiparametric MRI of the Prostate: Mehralivand Extraprostatic Extension Grade or Extraprostatic Extension Likert Scale?Lars A R Reisæter, Ole J Halvorsen, Christian Beisland, et al.
European Radiology|October 8, 2017
Optimising preoperative risk stratification tools for prostate cancer using mpMRILars A R Reisæter, Jurgen J Fütterer, Are Losnegård, et al.
Acta Radiologica (Stockholm, Sweden : 1987)|February 29, 2020
Magnetic resonance radiomics for prediction of extraprostatic extension in non-favorable intermediate- and high-risk prostate cancer patientsAre Losnegård, Lars A R Reisæter, Ole J Halvorsen, et al.
Physics and Imaging in Radiation Oncology|January 18, 2021
Biochemical recurrence prediction after radiotherapy for prostate cancer with T2w magnetic resonance imaging radiomic featuresCatarina Dinis Fernandes, Cuong V Dinh, Iris Walraven, et al.
Radiology|March 11, 2020
The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based PhenotypingAlex Zwanenburg, Martin Vallières, Mahmoud A Abdalah, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Frontiers in Neuroinformatics|July 31, 2013
White matter fiber tracking directed by interpolating splines and a methodological framework for evaluationAre Losnegård, Arvid Lundervold, Erlend Hodneland
Physics in Medicine and Biology|September 3, 2010
Semi-automated segmentation of the sigmoid and descending colon for radiotherapy planning using the fast marching methodAre Losnegård, Liv Bolstad Hysing, Ludvig Paul Muren, et al.
Journal of Neuroscience Methods|January 25, 2017
Semi-automatic 3D morphological reconstruction of neurons with densely branching morphology: Application to retinal AII amacrine cells imaged with multi-photon excitation microscopyBas-Jan Zandt, Are Losnegård, Erlend Hodneland, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|December 26, 2017
Intensity-based volumetric registration of magnetic resonance images and whole-mount sections of the prostateAre Losnegård, Lars Reisæter, Ole J Halvorsen, et al.
Radiology. Imaging Cancer|March 29, 2021
Assessing Extraprostatic Extension with Multiparametric MRI of the Prostate: Mehralivand Extraprostatic Extension Grade or Extraprostatic Extension Likert Scale?Lars A R Reisæter, Ole J Halvorsen, Christian Beisland, et al.
European Radiology|October 8, 2017
Optimising preoperative risk stratification tools for prostate cancer using mpMRILars A R Reisæter, Jurgen J Fütterer, Are Losnegård, et al.
Acta Radiologica (Stockholm, Sweden : 1987)|February 29, 2020
Magnetic resonance radiomics for prediction of extraprostatic extension in non-favorable intermediate- and high-risk prostate cancer patientsAre Losnegård, Lars A R Reisæter, Ole J Halvorsen, et al.
Physics and Imaging in Radiation Oncology|January 18, 2021
Biochemical recurrence prediction after radiotherapy for prostate cancer with T2w magnetic resonance imaging radiomic featuresCatarina Dinis Fernandes, Cuong V Dinh, Iris Walraven, et al.
Radiology|March 11, 2020
The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based PhenotypingAlex Zwanenburg, Martin Vallières, Mahmoud A Abdalah, et al.
Pageof 1