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Mads Nielsen

Showing results (21-30 of 109) with videos related to

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IEEE Transactions on Medical Imaging|April 7, 2012
Automatic quantification of tibio-femoral contact area and congruitySudhakar Tummala, Mads Nielsen, Martin Lillholm, et al.
The International Journal of Cardiovascular Imaging|March 4, 2010
Growth patterns of abdominal atherosclerotic calcified deposits from lumbar lateral X-raysLene Lillemark, Melanie Ganz, Natasha Barascuk, et al.
BMC Medical Imaging|June 4, 2014
Brain region's relative proximity as marker for Alzheimer's disease based on structural MRILene Lillemark, Lauge Sørensen, Akshay Pai, et al.
IEEE Transactions on Medical Imaging|August 2, 2008
Automated effect-specific mammographic pattern measuresJakob Raundahl, Marco Loog, Paola Pettersen, et al.
Nature Communications|September 27, 2024
Taxometer: Improving taxonomic classification of metagenomics contigsSvetlana Kutuzova, Mads Nielsen, Pau Piera, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 25, 2010
Classification of protein profiles using fuzzy clustering techniques: an application in early diagnosis of oral, cervical and ovarian cancerGopal Karemore, Jhinuk B Mullick, R Sujatha, et al.
IEEE Transactions on Medical Imaging|February 4, 2016
Kernel Bundle Diffeomorphic Image Registration Using Stationary Velocity Fields and Wendland Basis FunctionsAkshay Pai, Stefan Sommer, Lauge Sorensen, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|November 30, 2007
A family of principal component analyses for dealing with outliersJ Eugenio Iglesias, Marleen de Bruijne, Marco Loog, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 1, 2014
Deep feature learning for knee cartilage segmentation using a triplanar convolutional neural networkAdhish Prasoon, Kersten Petersen, Christian Igel, et al.
Breast Cancer Research : BCR|October 19, 2019
Sensitivity of screening mammography by density and texture: a cohort study from a population-based screening program in DenmarkMy von Euler-Chelpin, Martin Lillholm, Ilse Vejborg, et al.
Pageof 11

Showing results (21-30 of 109) with videos related to

Sort By:
Pageof 11
IEEE Transactions on Medical Imaging|April 7, 2012
Automatic quantification of tibio-femoral contact area and congruitySudhakar Tummala, Mads Nielsen, Martin Lillholm, et al.
The International Journal of Cardiovascular Imaging|March 4, 2010
Growth patterns of abdominal atherosclerotic calcified deposits from lumbar lateral X-raysLene Lillemark, Melanie Ganz, Natasha Barascuk, et al.
BMC Medical Imaging|June 4, 2014
Brain region's relative proximity as marker for Alzheimer's disease based on structural MRILene Lillemark, Lauge Sørensen, Akshay Pai, et al.
IEEE Transactions on Medical Imaging|August 2, 2008
Automated effect-specific mammographic pattern measuresJakob Raundahl, Marco Loog, Paola Pettersen, et al.
Nature Communications|September 27, 2024
Taxometer: Improving taxonomic classification of metagenomics contigsSvetlana Kutuzova, Mads Nielsen, Pau Piera, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 25, 2010
Classification of protein profiles using fuzzy clustering techniques: an application in early diagnosis of oral, cervical and ovarian cancerGopal Karemore, Jhinuk B Mullick, R Sujatha, et al.
IEEE Transactions on Medical Imaging|February 4, 2016
Kernel Bundle Diffeomorphic Image Registration Using Stationary Velocity Fields and Wendland Basis FunctionsAkshay Pai, Stefan Sommer, Lauge Sorensen, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|November 30, 2007
A family of principal component analyses for dealing with outliersJ Eugenio Iglesias, Marleen de Bruijne, Marco Loog, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|March 1, 2014
Deep feature learning for knee cartilage segmentation using a triplanar convolutional neural networkAdhish Prasoon, Kersten Petersen, Christian Igel, et al.
Breast Cancer Research : BCR|October 19, 2019
Sensitivity of screening mammography by density and texture: a cohort study from a population-based screening program in DenmarkMy von Euler-Chelpin, Martin Lillholm, Ilse Vejborg, et al.
Pageof 11