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Daniël M Pelt

Showing results (1-10 of 26) with videos related to

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Elife|December 2, 2020
Tackling the challenges of bioimage analysisDaniël M Pelt
Advanced Structural and Chemical Imaging|December 23, 2016
Improved tomographic reconstruction of large-scale real-world data by filter optimizationDaniël M Pelt, Vincent De Andrade
Proceedings of the National Academy of Sciences of the United States of America|December 28, 2017
A mixed-scale dense convolutional neural network for image analysisDaniël M Pelt, James A Sethian
Journal of Synchrotron Radiation|February 17, 2025
Multi-stage deep learning artifact reduction for parallel-beam computed tomographyJiayang Shi, Daniël M Pelt, K Joost Batenburg
Journal of Synchrotron Radiation|January 5, 2022
Foam-like phantoms for comparing tomography algorithmsDaniël M Pelt, Allard A Hendriksen, Kees Joost Batenburg
Ultramicroscopy|July 24, 2015
Electron tomography based on highly limited data using a neural network reconstruction techniqueEva Bladt, Daniël M Pelt, Sara Bals, et al.
Journal of Synchrotron Radiation|April 1, 2025
Enhancing synchrotron radiation micro-CT images using deep learning: an application of Noise2Inverse on bone imagingYoshihiro Obata, Dilworth Y Parkinson, Daniël M Pelt, et al.
Journal of Imaging|July 26, 2024
Reducing Manual Annotation Costs for Cell Segmentation by Upgrading Low-Quality AnnotationsSerban Vădineanu, Daniël M Pelt, Oleh Dzyubachyk, et al.
Nanoscale|July 9, 2021
Deep learning-based denoising for improved dose efficiency in EDX tomography of nanoparticlesAlexander Skorikov, Wouter Heyvaert, Wiebke Albecht, et al.
Journal of Imaging|August 30, 2021
A Computationally Efficient Reconstruction Algorithm for Circular Cone-Beam Computed Tomography Using Shallow Neural NetworksMarinus J Lagerwerf, Daniël M Pelt, Willem Jan Palenstijn, et al.
Pageof 3

Showing results (1-10 of 26) with videos related to

Sort By:
Pageof 3
Elife|December 2, 2020
Tackling the challenges of bioimage analysisDaniël M Pelt
Advanced Structural and Chemical Imaging|December 23, 2016
Improved tomographic reconstruction of large-scale real-world data by filter optimizationDaniël M Pelt, Vincent De Andrade
Proceedings of the National Academy of Sciences of the United States of America|December 28, 2017
A mixed-scale dense convolutional neural network for image analysisDaniël M Pelt, James A Sethian
Journal of Synchrotron Radiation|February 17, 2025
Multi-stage deep learning artifact reduction for parallel-beam computed tomographyJiayang Shi, Daniël M Pelt, K Joost Batenburg
Journal of Synchrotron Radiation|January 5, 2022
Foam-like phantoms for comparing tomography algorithmsDaniël M Pelt, Allard A Hendriksen, Kees Joost Batenburg
Ultramicroscopy|July 24, 2015
Electron tomography based on highly limited data using a neural network reconstruction techniqueEva Bladt, Daniël M Pelt, Sara Bals, et al.
Journal of Synchrotron Radiation|April 1, 2025
Enhancing synchrotron radiation micro-CT images using deep learning: an application of Noise2Inverse on bone imagingYoshihiro Obata, Dilworth Y Parkinson, Daniël M Pelt, et al.
Journal of Imaging|July 26, 2024
Reducing Manual Annotation Costs for Cell Segmentation by Upgrading Low-Quality AnnotationsSerban Vădineanu, Daniël M Pelt, Oleh Dzyubachyk, et al.
Nanoscale|July 9, 2021
Deep learning-based denoising for improved dose efficiency in EDX tomography of nanoparticlesAlexander Skorikov, Wouter Heyvaert, Wiebke Albecht, et al.
Journal of Imaging|August 30, 2021
A Computationally Efficient Reconstruction Algorithm for Circular Cone-Beam Computed Tomography Using Shallow Neural NetworksMarinus J Lagerwerf, Daniël M Pelt, Willem Jan Palenstijn, et al.
Pageof 3