Journal Publications 2018

  1. Al-Absi, A.R., Christensen, H.S., Sanchez, C. & Nyengaard, J.R. (2018): Evaluation of semi-automatic 3D reconstruction for studying geometry of dendritic spines. J. Chem. Neuroanat. 94, 119-124.
  2. Andersen, I.T., Hahn, U., Arnspang, E.C., Nejsum, L.N. & Jensen, E.B.V. (2018): Double Cox cluster processes – with applications to photoactivated localization microscopy. Spat. Stat. 27, 58-73.
  3. Arnaudon, A., Holm, D. & Sommer, S. (2018): String methods for stochastic image and shape matching. J. Math. Imaging Vis. 60, 953-967.
  4. Bay, V., Kjølby, B.F., Iversen, N.K., Mikkelsen, I.K., Ardalan, M., Nyengaard, J.R., Jespersen, S.N., Drasbek, K.R., Østergaard, L. & Hansen, B. (2018): Stroke infarct volume estimation in fixed tissue: comparison of diffusion kurtosis imaging to diffusion weighted imaging and histology in a rodent MCAO model. PLoS One 13, s. e0196161.
  5. Biscio, C.A.N., Poinas, A. & Waagepetersen R. (2018): A note on gaps in proofs of central limit theorems. Stat. Probab. Lett. 135, 7-10.
  6. Choiruddin, A., Coeurjolly, J.F., & Letué, F. (2018): Convex and non-convex regularization methods for spatial point processes intensity estimation. Electron. J. Stat. 12, 1210-1255.
  7. Clark, C.D., Ely, J.C., Spagnolo, M., Hahn, U., Hughes, A. & Stokes, C. (2018): Spatial organization of drumlins. Earth Surf. Proc. Land. 43, 499-513.
  8. Cuevas-Pacheco, F. & Møller, J. (2018): Log Gaussian Cox processes on the sphere. Spat. Stat. 26, 69-82.
  9. Darkner, S., Pai, A., Liptrot, M.G. & Sporring, J. (2018): Collocation for diffeomorphic deformations in medical image registration. IEEE T. Pattern Anal. 40, 1570-1583.
  10. Deng, C., Waagepetersen, R.P., Wang, M. & Guan, Y. (2018): A fast spectral quasi-likelihood approach for spatial point processes. Stat. Probab. Lett. 133, 59-64.
  11. Drakulic, S., Rai, J., Petersen, S.V., Golas, M.M. & Sander B. (2018): Folding and assembly defects of pyruvate dehydrogenase deficiency-related variants in the E1α subunit of the pyruvate dehydrogenase complex. Cell Mol. Life Sci. 75, 3009-3026.
  12. du Plessis, A. & Wall, C.T.C. (2018): The moduli space of binary quintics. Eur. J. Math. 4, 423-436.
  13. Gardner, R. & Kiderlen, M. (2018): Operations between functions. Commun. Anal. Geom. 26, 787-855.
  14. Gratzer, G. & Waagepetersen, R. (2018): Seed dispersal, microsites or competition - what drives gap regeneration in an old-growth forest? - An application of spatial point process modelling. Forests 9, 230, 15 pages.
  15. Holm, A.N., Feragen, A., Dela Haije, T. & Darkner, S. (2018): Deterministic group tractography with local uncertainty quantification. Computational Diffusion MRI (CDMRI) Workshop at MICCAI 2018.
  16. Jacobsen, R.D., Møller, J., Nielsen, M. & Rasmussen, M.G. (2018): Investigations of the effects of random sampling patterns on the stability of generalized sampling. Appl. Comput. Harmon. A. 45, 453-461.
  17. Jalilian, A. & Waagepetersen, R. (2018): Fast bandwidth selection for estimation of the pair correlation function. J. Stat. Comput. Sim. 88, 2001-2011.
  18. Kiderlen, M. & Rataj, J. (2018): Dilation volumes of sets of finite perimeter. Adv. Appl. Probab. 50, 1095-1118.
  19. Lauze, F., Dong, Y. & Dahl, A.B. (2018): Guest editorial: scale space and variational methods. J. Math. Imaging Vis. 60, 1367-1368.
  20. Le, L.T.M., Nyengaard, J.R., Golas, M.M. & Sander B. (2018): Vectors for expression of signal peptide-dependent proteins in baculovirus/insect cell systems and their application to expression and purification of the high-affinity immunoglobulin gamma Fc receptor I in complex with its gamma chain. Mol. Biotechnol. 60, 31–40.
  21. Mallasto, A. & Feragen, A. (2018a): Wrapped Gaussian process regression on Riemannian manifolds. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018, pp. 5580-5588.
  22. Mallasto, A. & Feragen, A. (2018b): Optimal transport distance between wrapped Gaussian distributions. Conference paper at MaxEntropy 2018.
  23. Meier, M., Andersen, K.J., Knudsen, A.R., Nyengaard, J.R., Hamilton-Dutoit, S. & Mortensen, F.V. (2018): Adaptive growth changes in the liver remnant are affected by the size of hepatectomy in rats. Int. J. Exp. Pathol. 99, 150-157.
  24. Møller, J. & Christoffersen, A.D. (2018): Pair correlation functions and limiting distributions of iterated cluster point processes. J. Appl. Probab. 55, 789-809.
  25. Møller, J., Nielsen, M., Porcu, E. & Rubak, E. (2018): Determinantal point process models on the sphere. Bernoulli 24, 1171-1201.
  26. Orbes-Arteaga, M., Cardoso, M.J., Sørensen, L., Modat, M., Ourselin, S., Nielsen, M. & Pai, A. (2018): Simultaneous synthesis of FLAIR and segmentation of white matter hypointensities from T1 MRIs. Conference on Medical Imaging with Deep Learning MIDL 2018, 8 p.
  27. Paternoster, V., Rajkumar, A.P., Nyengaard, J.R., Børglum, A.D., Grove, J. & Christensen, J.H. (2018): The importance of data structure in statistical analysis of dendritic spine morphology. J. Neurosci. Meth. 296, 93-98.
  28. Petersen, A., Petersen, S.V., Frische, S., Drakulic, S., Golas, M.M., Sander, B. & Fago, A. (2018): Hemoglobin polymerization via disulfide bond formation in the hypoxia-tolerant turtle Trachemys scripta: implications for antioxidant defense and O2 transport. Am. J. Physiol. Regul. Integr. Comp. Physiol. 314, R84–R93.
  29. Quéau, Y., Durix, B., Wu, T., Cremers, D., Lauze, F.B. & Durou, J.-D. (2018): LED-based photometric stereo: modeling, calibration and numerical solution. J. Math. Imaging Vis. 60, 313-340.
  30. Sørensen, L. & Nielsen, M. (2018): Ensemble support vector machine classification of dementia using structural MRI and mini-mental state examination. J. Neurosci. Meth. 302, 66-74.