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Markus Grasmair

Showing results (1-10 of 5) with videos related to

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Applied Mathematics and Computation|February 21, 2012
Markus Grasmair, Markus Haltmeier, Otmar Scherzer
Plos One|August 22, 2024
Reliably calibrating X-ray images required for preoperative planning of THA using a device-adapted magnification factorHeinrich Brüggemann, Aksel Paulsen, Ketil Oppedal, et al.
BMC Bioinformatics|November 17, 2022
Matrix factorization for the reconstruction of cervical cancer screening histories and prediction of future screening resultsGeir Severin R E Langberg, Mikal Stapnes, Jan F Nygård, et al.
Scientific Reports|July 15, 2022
Towards a data-driven system for personalized cervical cancer risk stratificationGeir Severin R E Langberg, Jan F Nygård, Vinay Chakravarthi Gogineni, et al.
Journal of Proteome Research|October 20, 2010
Spatial segmentation of imaging mass spectrometry data with edge-preserving image denoising and clusteringTheodore Alexandrov, Michael Becker, Sren-Oliver Deininger, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Applied Mathematics and Computation|February 21, 2012
Markus Grasmair, Markus Haltmeier, Otmar Scherzer
Plos One|August 22, 2024
Reliably calibrating X-ray images required for preoperative planning of THA using a device-adapted magnification factorHeinrich Brüggemann, Aksel Paulsen, Ketil Oppedal, et al.
BMC Bioinformatics|November 17, 2022
Matrix factorization for the reconstruction of cervical cancer screening histories and prediction of future screening resultsGeir Severin R E Langberg, Mikal Stapnes, Jan F Nygård, et al.
Scientific Reports|July 15, 2022
Towards a data-driven system for personalized cervical cancer risk stratificationGeir Severin R E Langberg, Jan F Nygård, Vinay Chakravarthi Gogineni, et al.
Journal of Proteome Research|October 20, 2010
Spatial segmentation of imaging mass spectrometry data with edge-preserving image denoising and clusteringTheodore Alexandrov, Michael Becker, Sren-Oliver Deininger, et al.
Pageof 1