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Computed tomography (CT)
Aperture size selection for improved brain tumor detection and quantification in multi-pinhole 123I-CLINDE SPECT imaging
B. Auer
,
Kalluri, K.
,
Abayazeed, A. H.
,
De Beenhouwer, J.
,
Zeraatkar, N.
,
Lindsay, C.
,
Momsen, N.
,
R. Richards, G.
,
May, M.
,
Kupinski, M. A.
,
Kuo, P. H.
,
Furenlid, L. R.
, and
King, M. A.
,
“
Aperture size selection for improved brain tumor detection and quantification in multi-pinhole 123I-CLINDE SPECT imaging
”
, in
IEEE Nuclear Science Symposium and Medical Imaging Conference, Boston, USA (2020)
, 2020.
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Keel-Edge Height Selection for Improved Multi-Pinhole 123I Brain SPECT Imaging
B. Auer
,
Kalluri, K.
,
De Beenhouwer, J.
,
Zeraatkar, N.
,
Momsen, N.
,
Kuo, P. H.
,
Furenlid, L. R.
, and
King, M. A.
,
“
Keel-Edge Height Selection for Improved Multi-Pinhole 123I Brain SPECT Imaging
”
,
Journal of Nuclear Medicine
, vol. 61, p. 573, 2020.
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Reconstruction using Depth of Interaction Information of Curved and Flat Detector Designs for Quantitative Multi-Pinhole Brain SPECT
B. Auer
,
Kalluri, K.
,
De Beenhouwer, J.
,
Doty, K.
,
Zeraatkar, N.
,
Kuo, P. H.
,
Furenlid, L. R.
, and
King, M. A.
,
“
Reconstruction using Depth of Interaction Information of Curved and Flat Detector Designs for Quantitative Multi-Pinhole Brain SPECT
”
,
Journal of Nuclear Medicine
, vol. 61, p. 103, 2020.
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BibTeX
Files:
snm2020_recon_curved.pdf
Full-field X-ray orientation imaging using convex optimization and a discrete representation of six-dimensional position - orientation space
N. Roberto Vigano
,
“
Full-field X-ray orientation imaging using convex optimization and a discrete representation of six-dimensional position - orientation space
”
, 2015.
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BibTeX
X-ray phase contrast simulation for grating-based interferometry using GATE
J. Sanctorum
,
De Beenhouwer, J.
, and
Sijbers, J.
,
“
X-ray phase contrast simulation for grating-based interferometry using GATE
”
,
Optics Express
, vol. 28, no. 22, pp. 33390-33412, 2020.
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DOI
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Unveiling Water Dynamics in Fuel Cells from Time-Resolved Tomographic Microscopy Data
M. Bührer
,
Xu, H.
,
Eller, J.
,
Sijbers, J.
,
Stampanoni, M.
, and
Marone, F.
,
“
Unveiling Water Dynamics in Fuel Cells from Time-Resolved Tomographic Microscopy Data
”
,
Scientific Reports
, vol. 10, no. 16388 , 2020.
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Extreme Sparse X-ray Computed Laminography Via Convolutional Neural Networks
L. F. Alves Pereira
,
De Beenhouwer, J.
,
Kastner, J.
, and
Sijbers, J.
,
“
Extreme Sparse X-ray Computed Laminography Via Convolutional Neural Networks
”
, in
ICTAI 2020
, 2020.
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Ringing Artefact Removal From Sparse View Tomosynthesis using Deep Neural Networks
S. Bazrafkan
,
Van Nieuwenhove, V.
,
Soons, J.
,
De Beenhouwer, J.
, and
Sijbers, J.
,
“
Ringing Artefact Removal From Sparse View Tomosynthesis using Deep Neural Networks
”
, in
The 6th International Conference on Image Formation in X-Ray Computed Tomography
, 2020, pp. 380-383.
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A low-cost geometry calibration procedure for a modular cone-beam X-ray CT system
V. Nguyen
,
De Beenhouwer, J.
,
Sanctorum, J.
,
Van Wassenbergh, S.
,
Bazrafkan, S.
,
Dirckx, J. J. J.
, and
Sijbers, J.
,
“
A low-cost geometry calibration procedure for a modular cone-beam X-ray CT system
”
,
Nondestructive Testing and Evaluation
, vol. 35, no. 3, pp. 252-265, 2020.
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The Radon Transform for Terahertz Computed Tomography Incorporating the Beam Shape
L. - P. Lumbeeck
,
Paramonov, P.
,
Sijbers, J.
, and
De Beenhouwer, J.
,
“
The Radon Transform for Terahertz Computed Tomography Incorporating the Beam Shape
”
, in
IEEE ICIP
, 2020, pp. 3040-3044.
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