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Gitta Kutyniok

Showing results (1-10 of 7) with videos related to

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Proceedings. Mathematical, Physical, and Engineering Sciences|December 28, 2020
Shearlets as feature extractor for semantic edge detection: the model-based and data-driven realmHéctor Andrade-Loarca, Gitta Kutyniok, Ozan Öktem
International Journal of Computer Assisted Radiology and Surgery|September 4, 2021
Detecting failure modes in image reconstructions with interval neural network uncertaintyLuis Oala, Cosmas Heiß, Jan Macdonald, et al.
Neuroimage|June 28, 2021
Unification of sparse Bayesian learning algorithms for electromagnetic brain imaging with the majorization minimization frameworkAli Hashemi, Chang Cai, Gitta Kutyniok, et al.
Physics in Medicine and Biology|November 23, 2018
Shearlet-based compressed sensing for fast 3D cardiac MR imaging using iterative reweightingJackie Ma, Maximilian März, Stephanie Funk, et al.
Physics in Medicine and Biology|November 25, 2025
Investigation of data-driven stopping power calibration of treatment planning x-ray CT from simulated sparse-view proton radiographiesInes Butz, Hector Andrade-Loarca, Angelo Schiavi, et al.
BMC Bioinformatics|March 10, 2017
Sparse Proteomics Analysis - a compressed sensing-based approach for feature selection and classification of high-dimensional proteomics mass spectrometry dataTim O F Conrad, Martin Genzel, Nada Cvetkovic, et al.
NPJ Science of Learning|February 25, 2025
On opportunities and challenges of large multimodal foundation models in educationStefan Küchemann, Karina E Avila, Yavuz Dinc, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Proceedings. Mathematical, Physical, and Engineering Sciences|December 28, 2020
Shearlets as feature extractor for semantic edge detection: the model-based and data-driven realmHéctor Andrade-Loarca, Gitta Kutyniok, Ozan Öktem
International Journal of Computer Assisted Radiology and Surgery|September 4, 2021
Detecting failure modes in image reconstructions with interval neural network uncertaintyLuis Oala, Cosmas Heiß, Jan Macdonald, et al.
Neuroimage|June 28, 2021
Unification of sparse Bayesian learning algorithms for electromagnetic brain imaging with the majorization minimization frameworkAli Hashemi, Chang Cai, Gitta Kutyniok, et al.
Physics in Medicine and Biology|November 23, 2018
Shearlet-based compressed sensing for fast 3D cardiac MR imaging using iterative reweightingJackie Ma, Maximilian März, Stephanie Funk, et al.
Physics in Medicine and Biology|November 25, 2025
Investigation of data-driven stopping power calibration of treatment planning x-ray CT from simulated sparse-view proton radiographiesInes Butz, Hector Andrade-Loarca, Angelo Schiavi, et al.
BMC Bioinformatics|March 10, 2017
Sparse Proteomics Analysis - a compressed sensing-based approach for feature selection and classification of high-dimensional proteomics mass spectrometry dataTim O F Conrad, Martin Genzel, Nada Cvetkovic, et al.
NPJ Science of Learning|February 25, 2025
On opportunities and challenges of large multimodal foundation models in educationStefan Küchemann, Karina E Avila, Yavuz Dinc, et al.
Pageof 1