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Hendriksen, Allard A.
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1

How auto-differentiation can improve CT workflows: classica..:

Schoonhoven, Richard ; Skorikov, Alexander ; Palenstijn, Willem...
Optics Express.  , 2024
Link: https://doi.org/10.1364/..
 
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2

Deep‐learning‐based joint rigid and deformable contour prop..:

Kolenbrander, Iris D. ; Maspero, Matteo ; Hendriksen, Allard A....
Medical Physics.  51 (2024)  4 - p. 2367-2377 , 2024
Link: https://doi.org/10.1002/..
 
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3

Foam-like phantoms for comparing tomography algorithms:

Pelt, Daniël M. ; Hendriksen, Allard A. ; Batenburg, Kees Joost
Journal of Synchrotron Radiation.  29 (2022)  1 - p. 254-265 , 2022
Link: https://doi.org/10.1107/..
 
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4

Deep learning based classification of dynamic processes in ..:

Bührer, Minna ; Xu, Hong ; Hendriksen, Allard A....
Scientific Reports.  11 (2021)  1 - p. , 2021
Link: https://doi.org/10.1038/..
 
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5

Deep denoising for multi-dimensional synchrotron X-ray tomo..:

Hendriksen, Allard A. ; Bührer, Minna ; Leone, Laura...
Scientific Reports.  11 (2021)  1 - p. , 2021
Link: https://doi.org/10.1038/..
 
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6

Tomosipo: fast, flexible, and convenient 3D tomography for ..:

Hendriksen, Allard A. ; Schut, Dirk ; Palenstijn, Willem Jan...
Optics Express.  29 (2021)  24 - p. 40494 , 2021
Link: https://doi.org/10.1364/..
 
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7

Noise2Filter: fast, self-supervised learning and real-time ..:

J Lagerwerf, Marinus ; A Hendriksen, Allard ; Buurlage, Jan-Willem.
Machine Learning: Science and Technology.  2 (2020)  1 - p. 015012 , 2020
Link: https://doi.org/10.1088/..
 
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8

Segmentation of dental cone‐beam CT scans affected by metal..:

Minnema, Jordi ; van Eijnatten, Maureen ; Hendriksen, Allard A....
Medical Physics.  46 (2019)  11 - p. 5027-5035 , 2019
Link: https://doi.org/10.1002/..
 
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9

On-the-Fly Machine Learning for Improving Image Resolution ..:

Hendriksen, Allard A. ; Pelt, Daniël M. ; Palenstijn, Willem Jan..
Applied Sciences.  9 (2019)  12 - p. 2445 , 2019
Link: https://doi.org/10.3390/..
 
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10

Deep denoising for multi-dimensional synchrotron X-ray tomo..:

Hendriksen, Allard A ; Bührer, Minna ; Leone, Laura...
info:eu-repo/semantics/altIdentifier/doi/10.1038/s41598-021-91084-8.  , 2021
Link: https://hdl.handle.net/2..
 
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11

Deep learning based classification of dynamic processes in ..:

Bührer, Minna ; Xu, Hong ; id_orcid:0 000-0001-7039-1797...
info:eu-repo/semantics/altIdentifier/doi/10.1038/s41598-021-03546-8.  , 2021
Link: https://hdl.handle.net/2..
 
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12

Deep denoising for multi-dimensional synchrotron X-ray tomo..:

Hendriksen, Allard A ; Bührer, Minna ; Leone, Laura...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8178391/.  , 2021
Link: http://www.ncbi.nlm.nih...
 
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13

Deep learning based classification of dynamic processes in ..:

Bührer, Minna ; Xu, Hong ; Hendriksen, Allard A...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8683503/.  , 2021
Link: http://www.ncbi.nlm.nih...
 
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14

Deep denoising for multi-dimensional synchrotron X-ray tomo..:

Hendriksen, Allard A ; Buhrer, Minna ; Leone, Laura...
info:eu-repo/semantics/altIdentifier/doi/10.1038/s41598-021-91084-8.  , 2021
Link: https://hal.science/hal-..
 
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15

Tomosipo: fast, flexible, and convenient 3D tomography for ..:

Hendriksen, Allard A ; Schut, Dirk ; Palenstijn, Willem Jan...
info:eu-repo/semantics/altIdentifier/doi/10.1364/OE.439909.  , 2021
Link: https://hal.science/hal-..
 
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