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K. J. Batenburg, Sijbers, J., and Van de Casteele, E., “Automatic multiple threshold scheme for segmentation of tomograms”, in Proceedings of the Biomedical Engineering IEEE/EMBS Benelux Symposium, Brussels, Belgium, 2006, vol. 2, pp. 143-146.
K. J. Batenburg, Sijbers, J., Poulsen, H. F., and Knudsen, E., “DART: A Robust Algorithm for Fast Reconstruction of 3D Grain Maps”, Journal of Applied Crystallography, vol. 43, pp. 1464-1473, 2010.PDF icon Download paper (824.99 KB)
K. J. Batenburg and Sijbers, J., “Automatic local thresholding of tomographic reconstructions based on the projection data”, in SPIE Medical Imaging, San Diego, CA, USA, 2008, vol. 6913, p. 69132.PDF icon Download full paper (857.39 KB)
K. J. Batenburg and Sijbers, J., “Generic iterative subset algorithms for discrete tomography”, Discrete Applied Mathematics, vol. 157, pp. 438-451, 2009.PDF icon Download paper (1.41 MB)
K. J. Batenburg, Sijbers, J., and Plantagie, L., “Filter for Tomographic Reconstructions”, U.S. Patent WO2013011031A12014.
K. J. Batenburg and Sijbers, J., “Adaptive thresholding of tomograms by projection distance minimization”, Pattern Recognition, vol. 42, pp. 2297-2305, 2009.PDF icon Download paper (1.05 MB)
K. J. Batenburg, Palenstijn, W. J., and Sijbers, J., “3D imaging of semiconductor components by discrete laminography”, in Stress induced phenomena and reliability in 3D microelectronics: AIP Conference Proceedings, 2014, vol. 1601, pp. 168-179.PDF icon Download paper (1.81 MB)
K. J. Batenburg, Van Aarle, W., and Sijbers, J., “A Semi-Automatic Algorithm for Grey Level Estimation in Tomography”, Pattern Recognition Letters, vol. 32, pp. 1395-1405, 2011.
K. J. Batenburg and Sijbers, J., “DART: a fast heuristic algebraic reconstruction algorithm for discrete tomography”, in Proceedings of the IEEE International Conference on Image Processing (ICIP), San Antonio, Texas, USA, 2007.PDF icon Download paper (415.32 KB)
K. J. Batenburg, Palenstijn, W. J., Balazs, P., and Sijbers, J., “Dynamic angle selection in binary tomography”, Computer Vision and Image Understanding, vol. 117, no. 5, pp. 306–318, 2013.PDF icon Download paper (2.71 MB)
K. J. Batenburg and Sijbers, J., “Dynamic tomography angle selection”, U.S. Patent PCT/EP2012/0714212013.
G. Barisano, Sepehrband, F., Collins, H. R., Jillings, S., Jeurissen, B., Taylor, A. J., Schoenmaekers, C., De Laet, C., Rukavishnikov, I., Nosikova, I., Rumshiskaya, A., Annen, J., Sijbers, J., Laureys, S. S. L., Van Ombergen, A., Petrovichev, V., Sinitsyn, V., Pechenkova, E. V., Grishin, A., Eulenburg, Pzu, Law, M., Sunaert, S., Parizel, P. M., Tomilovskaya, E., Roberts, D., and Wuyts, F. L., “The effect of prolonged Spaceflight on Cerebrospinal Fluid and Perivascular Spaces of Astronauts and Cosmonauts”, PNAS, vol. 119, no. 17, 2022.
S. Bals, Batenburg, K. J., Verbeeck, J., Sijbers, J., and Van Tendeloo, G., “Quantitative three-dimensional reconstruction of catalyst particles for bamboo-like carbon nanotubes”, Nano Letters, vol. 7, pp. 3669-3674, 2007.
M. Baillieux and Scheunders, P., “On-line determination of the velocity of simultaneously moving organisms by image analysis for the detection of sublethal toxicity”, Water Research, vol. 32, pp. 1027-1034, 1998.
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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.PDF icon Download paper (127.73 KB)
B. Auer, Kalluri, K., De Beenhouwer, J., Zeraatkar, N., Könik, A., Kuo, P. H., Furenlid, L. R., and King, M. A., “Investigation of keel versus knife edge pinhole profiles for a next-generation SPECT system dedicated to clinical brain imaging”, 2nd International Conference on Monte Carlo Techniques for Medical Applications. 2019.
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.PDF icon snm2020_recon_curved.pdf (103.23 KB)
B. Auer, Zeraatkar, N., De Beenhouwer, J., Kalluri, K., Kuo, P. H., Furenlid, L. R., and King, M. A., “Investigation of a Monte Carlo simulation and an analytic-based approach for modeling the system response for clinical I-123 brain SPECT imaging”, in 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 2019, vol. 11072, pp. 187 – 190.
B. Auer, Könik, A., Fromme, T. J., Kalluri, K., De Beenhouwer, J., Zubal, G. I., Furenlid, L. R., and King, M. A., “Preliminary evaluation of surface mesh modeling of system geometry, anatomy phantom, and source activity for GATE simulations”, in IEEE Nuclear Science Symposium and Medical Imaging Conference, Sydney, Australia, 2018.
B. Auer, De Beenhouwer, J., Zeraatkar, N., Kuo, P. H., Furenlid, L. R., and King, M. A., “Preliminary investigation of attenuation and scatter correction strategies for a next-generation SPECT system dedicated to quantitative clinical brain imaging”, in IEEE Nuclear Science Symposium and Medical Imaging Conference, Manchester, UK, 2019.
B. Auer, De Beenhouwer, J., Fromme, T. J., Kalluri, K., Goding, J. C., Zubal, G. I., Furenlid, L. R., and King, M. A., “Preliminary investigation of design parameters of an innovative multi- pinhole system dedicated to brain SPECT imaging”, in IEEE Nuclear Science Symposium and Medical Imaging Conference, Sydney, Australia, 2018.
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.
M. Shahrimie Asaari, Mishra, P., Mertens, S., Dhondt, S., Inze, D., Wuyts, N., and Scheunders, P., “Close-range hyperspectral image analysis for the early detection of plant stress responses in individual plants in a high-throughput phenotyping platform”, ISPRS Journal of Photogrammetry and Remote Sensing , vol. 138, pp. 121-138, 2018.
M. Shahrimie Asaari, Mertens, S., Verbraeken, L., Dhondt, S., Inze, D. G., Koirala, B., and Scheunders, P., “Non-destructive analysis of plant physiological traits using hyperspectral imaging: A case study on drought stress”, Computers and Electronics in Agriculture, vol. 195, 2022.
M. Shahrimie Asaari, Mertens, S., Dhondt, S., Inze, D., Wuyts, N., and Scheunders, P., “Analysis of hyperspectral images for detection of drought stress and recovery in maize plants in a high-throughput phenotyping platform”, Computers and Electronics in Agriculture, vol. 162, pp. 749-758, 2019.PDF icon shahrimie_2019.pdf (3.12 MB)

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