Publications

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Kiderlen, M. & Jensen, E. B. V. (2003). Estimation of the directional measure of planar random sets by digitization. Advances in Applied Probability, 35(3), 583-602.

Kiderlen, M. & Pfrang, A. (2005). Algorithms to estimate the rose of directions of a spatial fibre system. Journal of Microscopy, 219(2), 50-60.

Kiderlen, M. (2006). Estimating the Euler Characteristic of a planar set from a digital image. Journal of Visual Communication and Image Representation, 17, 1237-1255.

Kiderlen, M. & Rataj, J. (2007). On infinitesimal increase of volumes of morphological transforms. Mathematika, 53, 103-127.

Kiderlen, M. (2006). Blaschke- and Minkowski-endomorphisms of convex bodies. Trans. Am. Math. Soc., 358(12), 5539-5564.

Kiderlen, M. (2008). Estimation of the mean normal measure from flat sections. Advances in Applied Probability, 40(1), 31-48. https://doi.org/10.1239/aap/1208358885

Kiderlen, M. (2008). Stability results for convex bodies in geometric tomography. Indiana University Mathematics Journal, 57, 1999-2038. https://doi.org/10.1512/iumj.2008.57.3348

Kiderlen, M. & Meschenmoser, D. (2009). Error bounds for surface area estimators based on Crofton's formula. Image Analysis and Stereology, 28, 165-177. http://www.wise-t.com/ias/article.php?id=250&year=2009&issue=11

Kiderlen, M. (2010). Introduction into integral geometry and stereology. Thiele Centre, Institut for Matematiske Fag, Aarhus Universitet.

Kiderlen, M. & Rataj, J. (2011). Dilation volumes of sets of bounded perimeter. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University.

Kiderlen, M. & Hörig, M. (2013). Matérn's hard core models of types I and II with arbitrary compact grains. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University. CSGB Research Reports No. 05 http://math.au.dk/publs?publid=980

Kiderlen, M. & Kampf, J. (2013). Large Parallel Volumes of Finite and Compact Sets in d-Dimensional Euclidean Space. Documenta Mathematica, 18, 275-295. http://www.math.uni-bielefeld.de/documenta/vol-18/09.html

Kiderlen, M. (2013). Introduction into integral geometry and stereology. In E. Spodarev (Ed.), Stochastic geometry, spatial statistics and random fields: Asymptotic methods (pp. 21-48). Springer. https://doi.org/10.1007/978-3-642-33305-7_2

Kiderlen, M. & Jensen, E. B. V. (Eds.) (2017). Tensor Valuations and Their Applications in Stochastic Geometry and Imaging. Springer. Lecture Notes in Mathematics Vol. 2177

Kiderlen, M. & Jensen, E. B. V. (2017). Rotation Invariant Valuations. In E. B. V. Jensen & M. Kiderlen (Eds.), Tensor Valuations and Their Applications in Stochastic Geometry and Imaging (Vol. 2177 , pp. 185-212). Springer.

Kiderlen, M. & Dorph-Petersen, K. A. (2017). The Cavalieri estimator with unequal section spacing revisited. Image Analysis and Stereology, 36(2), 135-141. https://doi.org/10.5566/ias.1723

Kiderlen, M. & Dorph-Petersen, K.-A. (2017). The Cavalieri estimator with unequal section spacing revisited. http://csgb.dk/publications/csgbrr/2017/

Kiderlen, M. & Rataj, J. (2017). Dilation volumes of sets of finite perimeter. http://csgb.dk/publications/csgbrr/2017/

Kiderlen, M. & Rataj, J. (2018). Dilation volumes of sets of finite perimeter. Advances in Applied Probability, 50(4), 1095-1118. https://doi.org/10.1017/apr.2018.52

Kiderlen, M. & Pausinger, F. (2021). Discrepancy of stratified samples from partitions of the unit cube. Monatshefte fur Mathematik, 195(2), 267-306. https://doi.org/10.1007/s00605-021-01538-4

Kiderlen, M. & Pausinger, F. (2022). On a partition with a lower expected L₂-discrepancy than classical jittered sampling. Journal of Complexity, 70, Article 101616. https://doi.org/10.1016/j.jco.2021.101616

Keller, K. K., Andersen, I. T., Andersen, J. B., Hahn, U., Stengaard-Pedersen, K., Hauge, E. M. & Nyengaard, J. R. (2013). Improving efficiency in stereology: a study applying the proportionator and the autodisector on virtual slides. Journal of Microscopy, 251(1), 68-76. https://doi.org/10.1111/jmi.12044

Kasenburg, N., Darkner, S., Hahn, U., Liptrot, M. & Feragen, A. (2016). Structural parcellation of the thalamus using shortest-path tractography. In 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI) (pp. 559-563). IEEE. https://doi.org/10.1109/ISBI.2016.7493330

Kärkkäinen, S. & Jensen, E. B. V. (2001). Estimation of fibre orientation from digital images. Image Analysis and Stereology, 20(3), 199-202. https://doi.org/10.5566/ias.v20.p199-202

Karkkainen, S., Jensen, E. B. V. & Jeulin, D. (2002). On the orientational analysis of planar fibre systems from digital images. Journal of Microscopy, 207(1), 69-77.

Karkkainen, S. & Jensen, E. B. V. (2001). On the orientational analysis of Boolean fibres from digital images. Laboratory for Computational Stochastics, Department of Mathematical Sciences, University of Aarhus.

Karki, S., Kandel, T. P., Elsgaard, L., Labouriau, R. & Lærke, P. E. (2019). Annual CO2 fluxes from a cultivated fen with perennial grasses during two initial years of rewetting. Mires and Peat, 25, 1-22. Article 1. https://doi.org/10.19189/MaP.2017.DW.322

Kandel, T. P., Karki, S., Elsgaard, L., Labouriau, R. & Lærke, P. E. (2020). Methane fluxes from a rewetted agricultural fen during two initial years of paludiculture. Science of the Total Environment, 713, Article 136670. https://doi.org/10.1016/j.scitotenv.2020.136670

Kampf, J. & Kiderlen, M. (2011). Large parallel volumes of finite and compact sets in d-dimensional Euclidean space. Centre for Stochastic Geometry and advanced Bioimaging, Aarhus University.

Kaiser, C., Lazaridou, C., Jensen, K.-M. V., Labouriau, R. & Kristensen, M. (2019). Vitellogenin expression in the oilseed rape pest Meligethes aeneus. Insect Science, 26(2), 274-282. https://doi.org/10.1111/1744-7917.12539

Juul-Kristensen, T., Thiesen, C., Haurum, L. W., Keller-Socin, J. G., Lendamba, R. W., Zoleko Manego, R., Betouke, M. E., Knudsen, B. R., Pareja, E., Pareja-Tobes, E., Labouriau, R., Ghyslain, M.-N. & Tesauro, C. (2024). Non-Invasive Malaria Detection in Sub-Saharan Africa Using a DNA-Based Sensor System. Sensors, 24(24), Article 7947. https://doi.org/10.3390/s24247947

Juul, N., Labouriau, R., Mass, A. I. R., Marshall, L. F. & Sorensen, H. T. (2004). Association between Different Levels of ICP and CPP and One Year Mortality in Patients with Severe Head Injuries. Abstract from Association between Different Levels of ICP and CPP and One Year Mortality in Patients with Severe Head Injuries.

Juul, S., Nielsen, C. J. F., Labouriau, R., Roy, A., Tesauro, C., Jensen, P. W., Harmsen, C., Kristoffersen, E. L., Chiu, Y.-L., Hougaard, R. F., Fiorani, P., Cox-Singh, J., Tordrup, D. P., Koch, J. E., Bienvenu, A.-L., Desideri, A., Picot, S., Petersen, E., Leong, K. W. ... Knudsen, B. R. (2012). Droplet Microfluidics Platform for Highly Sensitive and Quantitative Detection of Malaria-Causing Plasmodium Parasites Based on Enzyme Activity Measurement. A C S Nano, 6(12), 10676-10683. https://doi.org/10.1021/nn3038594

Juul, M., Madsen, T., Guo, Q., Bertl, J., Hobolth, A., Kellis, M. & Pedersen, J. S. (2019). ncdDetect2: Improved models of the site-specific mutation rate in cancer and driver detection with robust significance evaluation. Bioinformatics, 35(2), 189-199. https://doi.org/10.1093/bioinformatics/bty511

Jörnsten, K. & Klose, A. (2016). An improved Lagrangian relaxation and dual ascent approach to facility location problems. Computational Management Science, 13(3), 317-348. https://doi.org/10.1007/s10287-015-0244-z

Jørgensen, B., Labouriau, R. & Lundbye-Christensen, S. (1996). Linear Growth curve analysis based on exponential dispersion models. Journal of the Royal Statistics Society, B 58(3), 573-592.

Jørgensen, B., Labouriau, R. & Lundbye-Christensen, S. (1994). Linear growth curve analysis based on exponential dispersion models. Technical Report No. 140

Jørgensen, B. & Labouriau, R. (2000). Expoenetial Families and theoretical Inference. Technical Raport No. 2000-02

Jørgensen, F. G., Hobolth, A., Hornshøj, H., Bendixen, C., Fredholm, M. & Schierup, M. H. (2005). Comparative analysis of protein coding sequences from Human, Mouse and the domesticated Pig. B M C Biology, 3(2). https://doi.org/10.1186/1741-7007-3-2

Jørgensen, B. & Labouriau, R. S. (1992). Exponential Families and Theoretical Inference. Springer. Monografías de Matemática Vol. 52 No. Zbl 0968.62500 http://www.zentralblatt-math.org/zmath/en/search/?q=an:0968.62500&format=complete

Jørgensen, B. & Labouriau, R. S. (2012). Exponential Families and Theoretical Inference. (2 ed.) Springer. Monografías de Matemática Vol. 52 No. Zbl 0968.62500

Jørgensen, B. & Labouriau, R. S. (1992). Famílias exponenciais e inferência teórica. Instituto de Matemática Pura e Aplicada (IMPA).

Jørgensen, B., Labouriau, R., Lundbye-Christensen, S. & Institut for Elektroniske Systemer, Aalborg Universitetscenter (1991). Growth curve analysis based on exponential dispersion models. Aalborg Universitetscenter, Institut for Elektroniske Systemer.

Jørgensen, M. S., Labouriau, R. & Olesen, B. (2019). Seed size and burial depth influence Zostera marina L. (eelgrass) seed survival, seedling emergence and initial seedling biomass development. PLOS ONE, 14(4), Article e0215157. https://doi.org/10.1371/journal.pone.0215157

Jonsson, E. & Asmussen, S. (1994). A practical dependability measure for embedded computer systems. In G. C. Goodwin & R. J. Evans (Eds.), Automatic control: proceedings of the 12th Triennial World Congress of the International Federation of Automatic Control (pp. 647-652). Pergamon.

Jónsdóttir, K. Ý. & Jensen, E. B. V. (2005). Gaussian radial growth. Image Anal. Stereol., 24, 117-126.

Jónsdóttir, K. Ý., Hoffmann, L., Hobolth, A. & Jensen, E. B. V. (2006). On error prediction in circular systematic sampling. Journal of Microscopy, 222(3), 212-216. https://doi.org/10.1111/j.1365-2818.2006.01589.x

Jónsdóttir, K. Ý., Schmiegel, J. & Jensen, E. B. V. (2008). Lévy-based growth models. Bernoulli, 14(1), 62-90. https://doi.org/10.3150/07-BEJ6130

Jónsdóttir, K. Ý. & Jensen, E. B. V. (2004). Gaussian radial growth. Thiele Centre, Institut for Matematiske Fag, Aarhus Universitet.

Jónsdóttir, K. Ý., Rønn-Nielsen, A., Mouridsen, K. & Jensen, E. B. V. (2013). Lévy-based modelling in brain imaging. Scandinavian Journal of Statistics, 40(3), 511-529. https://doi.org/10.1002/sjos.12000

Displaying results 351 to 400 out of 1279

Revised 07.02.2025

Lars Madsen