I am a researcher in
the Physics of Medical
Imaging lab at the Department
of Physics, KTH.
Phone: +46 8 5537 8814
| E-mail: | <nillius mi.physics.kth.se> |
Teaching
Software
SeeMRI - a Simulation environment
for education in Magnetic Resonance Imaging. A lightweight
object-oriented MRI simulator and visualization tool for Matlab, based on the
Bloch equations.
Datasets
Publications
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Efficient proximity effect correction method based on multivariate adaptive regression splines for grayscale e-beam lithography
Mi, W. and Nillius, P., in Journal of Vacuum Science & Technology B , 32(3), 2014
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Simulation of HyperSPECT: a high resolution small animal system with in-line x-ray optics
Tibbelin, S., Nillius, P. and Danielsson, M., in press Physics in Medicin and Biology , 2012
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Geometric Scattering in Prism-Array Lenses for Hard X-rays: Measurements, Simulations and Models
Nillius, P., submitted to AIP Conference Proceedings (ICXOM21),
Sept, 2011
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Large-Aperture Focusing of High-Energy X-Rays with a Rolled
Polyimide Film
Nillius, P., Karlsson, S., Cederström, B.,
Fredenberg, E. and Danielsson, M., in Optics Letters,
Vol. 36, Iss. 4, pp. 555--557, 2011
(Also selected for the
Virtual Journal for Biomedical Optics, Vol. 6, Iss. 3, 2011)
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Theoretical Bounds and System Design for Multipinhole SPECT
Nillius, P. and Danielsson, M., In IEEE Transactions on Medical Imaging, Vol. 9, Iss. 7, pp. 1390-1400, 2010
(PDF)
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A low-absorption x-ray energy filter for small-scale
applications
Fredenberg, E., Cederström, B., Nillius, P.,
Carolina Ribbing, Staffan Karlsson and Danielsson, M., In Optics Express, Vol. 17, Iss. 14, pp. 11388-11398, 2009
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An efficient pre-object collimator based on an x-ray lens
Fredenberg, E., Cederström, B., Åslund, M., Nillius, P. and Danielsson, M., In Medical Physics, Vol. 36, No. 2, pp 626, 2009
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HyperSPECT: a new system for pre-clinical imaging in vivo
Tibbelin, S., Nillius, P., Cederström, B. and Danielsson, M., In Proc SPIE vol 7258, 2009
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Theoretical Bounds and Optimal Configurations for Multi-Pinhole SPECT
Nillius, P. and Danielsson, M., In IEEE NSS/MIC, Dresden, 2008, pp. 5020-5022
(PDF)
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Shading Models for Illumination and Reflectance Invariant Shape Detectors
Nillius, P., Sullivan, J. and Argyros, A.A., In Proc. IEEE Computer Vision and Pattern Recognition (CVPR08), Anchorage, June 2008
(PDF 2.2MB)
(Poster 2.9MB)
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Imaging with multi-prism x-ray lenses
Fredenberg, E., Cederström, B., Åslund, M., Nillius, P. and Lundqvist M., In Proc. SPIE , Vol. 6913, 2008
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Multi-Target Tracking -- Linking Identities using Bayesian
Network Inference
Nillius, P., Sullivan, J. and Carlsson, S., In Proc. IEEE Computer Vision and Pattern Recognition (CVPR06), New York City, June 2006
(PDF 0.5MB)
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Image Analysis using the Physics of Light Scattering
Nillius, P,
PhD Thesis, Royal Institute of Technology (KTH), Stockholm Sweden, May 2004
(PDF 4.1MB)
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Classifying Materials from their Reflectance Properties
Nillius, P. and Eklundh, J.-O., In Proc. 8th European Conference on Computer Vision (ECCV04), Prague, May 2004, pp IV:366-376
(PDF 2.6MB)
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Phenomenological Eigenfunctions for Image Irradiance
Nillius, P. and Eklundh, J.-O., In Proc. 9th International Conference on Computer Vision (ICCV03), Nice, October 2003, pp. I:568-575
(PDF 0.9MB)
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Low-Dimensional Representations of Shaded Surfaces under Varying Illumination
Nillius, P. and Eklundh, J.-O., In Proc. IEEE Computer Vision and Pattern Recognition (CVPR03), Madison, June 2003, pp. II:185-192
(PDF 0.6MB)
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Automatic Estimation of the Projected Light Source Direction
Nillius, P. and Eklundh, J.-O.,
In Proc. IEEE Computer Vision and Pattern Recognition (CVPR01), Kauai, Hawaii, December 2001, pp. I:1076-1083
(Postscript 5.4MB)
(PDF 1MB)
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Fast Block Matching with Normalized Cross-Correlation
using Walsh Transforms
Nillius, P. and Eklundh, J.-O., report, ISRN KTH/NA/P--02/11--SE, Sept. 2002.
(Postscript 1.4MB)
(PDF 0.8MB)
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Comparison of learning approaches to appearance-based 3D object recognition with and without cluttered background
Roobaert, D., Nillius, P. and Eklundh, J.-O., In Proc. 4th Asian Conference on Computer Vision, January 8-11, 2000, Taipei, Taiwan, pp. 443-448
(Postscript)