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Journal Publications 2016

  1. Andersen, I.T. & Hahn, U. (2016): Matérn thinned Cox processes. Spat. Stat. 15, 1-21.
  2. Baddeley, A., Turner, R. & Rubak, E. (2016): Adjusted composite likelihood ratio test for spatial Gibbs point processes. J. Stat. Comp. Sim. 86, 922-941.
  3. Boggild, S., Molgaard, S., Glerup, S. & Nyengaard, J.R. (2016): Spatiotemporal patterns of sortilin and SorCS2 localization during organ development. BMC Cell Biology 17, 1-18.
  4. Coeurjolly, J.-F., Guan, Y., Khanmohammadi, M. & Waagepetersen, R.P. (2016): Towards optimal Takacs-Fiksel estimation. Spat. Stat. 18, 396-411.
  5. Chen, F., du Jardin, K.G., Waller, J.A., Sanchez, C., Nyengaard, J.R. & Wegener, G. (2016): Vortioxetine promotes early changes in dendritic morphology compared to fluoxetine in rat hippocampus. Eur. Neuropsychopharmacol. 26, 234-245.
  6. Feragen, A. & Hauberg, S. (2016): Open problem: kernel methods on manifolds and metric spaces : what is the probability of a positive definite geodesic exponential kernel? Proceedings of the 29th Annual Conference on Learning Theory. JMLR: Workshop and Conference Proceedings 49, pp. 1647–1650.
  7. Hahn, U. & Jensen, E.B.V. (2016): Hidden second-order stationary spatial point processes. Scand. J. Stat. 43, 455-475.
  8. Hauberg, S., Feragen, A., Enficiaud, R. & Black, M.J. (2016): Scalable robust principal component analysis using Grassmann averages. IEEE T. Pattern Anal. 38, 2298-2311.
  9. Kallenberg, M.G.J., Nielsen, M., Holland, K., Karssemeijer, N., Igel, C. & Lillholm, M. (2016): Learning density independent texture features. Proceedings of the 13th International Workshop on Breast Imaging. Lecture Notes in Computer Science 9699, pp. 299-306. Springer.
  10. Kallenberg, M.G.J., Petersen, P.K., Nielsen, M., Ng, A.Y., Diao, P., Igel, C., Vachon, C.M., Holland, K., Winkel, R.R., Karssemeijer, N. & Lillholm, M. (2016): Unsupervised deep learning applied to breast density segmentation and mammographic risk scoring. IEEE T. Med. Imaging 35, 1322-1331.
  11. Karlsson, P., Haroutounian, S., Polydefkis, M., Nyengaard, J.R. & Jensen, T.S. (2016): Structural and functional characterization of nerve fibres in polyneuropathy and healthy subjects. Scand. J. Pain 10, 28-35.
  12. Kasenburg, N., Darkner, S., Hahn, U., Liptrot, M.G. & Feragen, A. (2016a): Structural parcellation of the Thalamus using shortest-path tractography. Proceedings of the International Symposium on Biomedical Imaging (ISBI), 559-563.
  13. Kasenburg, N., Liptrot, M., Reislev, N.L., Garde, E., Nielsen, M. & Feragen, A. (2016b): Supervised hub-detection for brain connectivity. Proceedings of SPIE Medical Imaging 9784.
  14. Kasenburg, N., Liptrot, M., Reislev, N.L., Ørting, S.N., Nielsen, M., Garde, E. & Feragen, A. (2016c): Training shortest-path tractography: automatic learning of spatial priors. NeuroImage 130, 63-76.
  15. Kasenburg, N., Pedersen, M.V. & Darkner, S. (2016d): Finiding significantly connected voxels based on histograms of connection strengths. Proceedings of SPIE Medical Imaging 9784.
  16. Khan, A.R., Chuhutin, A., Wiborg, O., Kroenke, C.D., Nyengaard, J.R., Hansen, B. & Jespersen, S.N. (2016): Biophysical modeling of high field diffusion MRI demonstrates micro-structural aberration in chronic mild stress rat brain. NeuroImage 142, 421-430.
  17. Kjølby, B.F., Khan, A.R., Chuhutin, A., Pedersen, L.H., Jensen, J.B., Jakobsen, S., Zeidler, D., Sangill, R., Nyengaard, J.R., Jespersen, S.N. & Hansen, B. (2016): Fast diffusion kurtosis imaging of fibrotic mouse kidneys. NMR Biomed. 29, 1709-1719.
  18. Kousholt, A. & Kiderlen, M. (2016): Reconstruction of convex bodies from surface tensors. Adv. Appl. Math. 76, 1-33.
  19. Lavancier, F. & Møller, J. (2016): Modelling aggregation on the large scale and regularity on the small scale in spatial point pattern datasets. Scand. J. Stat. 43, 587-609.
  20. Liptrot, M.G. & Lauze, F.B. (2016): Rotationally invariant clustering of diffusion MRI data using spherical harmonics. Proceedings of SPIE Medical Imaging 9784.
  21. Maryam, A., Wegener, G., Polsinelli, B., Madsen, T.M. & Nyengaard, J.R. (2016): Neurovascular plasticity of the hippocampus one week after a single dose of ketamine in generat rat model of depression. Hippocampus 26, 1414-1423.
  22. Michalkiewicz, M.D., Pai, A., Leung, K.K., Sommer, S., Darkner, S., Sørensen, L., Sporring, J. & Nielsen, M. (2016): Combining the boundary shift integral and tensor-based morphometry for brain atrophy estimation. Proceedings of SPIE Medical Imaging 9784.
  23. Mrkvička, T., Soubeyrand, S., Myllymäki, M., Grabarnik, P. & Hahn, U. (2016): Monte Carlo testing in spatial statistics, with applications to spatial residuals. Spat. Stat. 18, 40-53.
  24. Møller, J., Ghorbani, M. & Rubak, E. (2016): Mechanistic spatio-temporal point process models for marked point processes, with a view to forest stand data. Biometrics 72, 687-696.
  25. Møller, J. & Rubak, E. (2016): Functional summary statistics for point processes on the sphere with an application to determinantal point processes. Spat. Stat. 18, 4-23.
  26. Møller, J, Safavimanesh, F. & Rasmussen, J.G. (2016): The cylindrical K-function and Poisson line cluster point processes. Biometrika 103, 937-954.
  27. Pai, A.S.U., Sommer, S.H., Sørensen, L., Darkner, S., Sporring, J. & Nielsen, M. (2016): Kernel bundle diffeomorphic image registration using stationary velocity fields and Wendland basis functions. IEEE T. Med. Imaging 35, 1369-1380.
  28. Pai, A.S.U., Sporring, J., Darkner, S., Dam, E.B., Lillholm, M., Jørgensen, D., Oh, J., Chen, G., Suhy, J., Sørensen, L. & Nielsen, M. (2016): Deformation-based atrophy computation by surface propagation and its application to Alzheimer’s disease. J. Med. Imag. 3, 014005.
  29. Rafati, A.H. , Safavimanesh, F. , Dorph-Petersen, K.-A., Rasmussen, J.G., Møller, J. & Nyengaard, J.R. (2016): Detection and spatial characterization of minicolumnarity in the human cerebral cortex. J. Microsc. 261, 115-126.
  30. Rafati, A.H., Ziegel, J.F., Nyengaard, J.R. and Jensen, E.B.V. (2016): Stereological estimation of particle shape and orientation from volume tensors. J. Microsc. 261, 229-237.
  31. Reinert, L.S., Lopušná, K., Winther, H., Sun, C., Thomsen, M.K., Nandakumar, R., Mogensen, T.H., Meyer M., Vægter, C., Nyengaard, J.R., Fitzgerald, K.A. & Paludan, S. (2016): Sensing of HSV-1 by the cGAS-STING pathway in microglia orchestrates antiviral defence in CNS. Nature Communications 7, 13348.
  32. Rønn-Nielsen, A. & Jensen, E.B.V. (2016): Tail asymptotics for the supremum of an infinitely divisible field with convolution equivalent Lévy measure. J. Appl. Prob. 53 244-261.
  33. Sander, B. & Golas, M.M. (2016): Molecular electron microscopy: an approach to study macromolecular assemblies. In Neuromethods 115, pp. 205-216. Springer.
  34. Sommer, S. (2016): Anisotropically weighted and nonholonomically constrained evolutions on manifolds. Entropy 18, 425-445.
  35. Sørensen, L., Igel, C., Hansen, N.L., Osler, M., Lauritzen, M., Rostrup, E. & Nielsen, M. (2016): Early detection of Alzheimer's disease using MRI hippocampal texture. Hum. Brain Mapp. 37, 1148-1161.
  36. Waagepetersen, R.P., Guan, Y., Jalilian, A. & Mateu, J. (2016): Analysis of multispecies point patterns using multivariate log-Gaussian Cox processes. J. Roy. Stat. Soc. C 65, 77-96.
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