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Results: 58,357
Number of items: 58,357
  • Open Access
    Bruns, S., Wolterink, J. M., van den Boogert, T. P. W., Runge, J. H., Bouma, B. J., Henriques, J. P., Baan, J., Viergever, M. A., Planken, R. N., & Išgum, I. (2022). Deep learning-based whole-heart segmentation in 4D contrast-enhanced cardiac CT. Computers in Biology and Medicine, 142, Article 105191. https://doi.org/10.1016/j.compbiomed.2021.105191
  • Open Access
    Divya, S., Krap, T., Duijst, W., Aalders, M. C. G., & Oostra, R. J. (2022). Mechanical or thermal damage: differentiating between underlying mechanisms as a cause of bone fractures. International Journal of Legal Medicine, 136(4), 1133-1148. https://doi.org/10.1007/s00414-022-02825-x
  • Open Access
    Onstein, R. E., Kissling, W. D., & Linder, H. P. (2022). The megaherbivore gap after the non-avian dinosaur extinctions modified trait evolution and diversification of tropical palms. Proceedings of the Royal Society B: Biological Sciences, 289(1972), Article 20212633. https://doi.org/10.1098/rspb.2021.2633
  • Open Access
    Anous, T., Meineri, M., Pelliconi, P., & Sonner, J. (2022). Sailing past the End of the World and discovering the Island. SciPost Physics, 13(3), Article 075. https://doi.org/10.21468/SciPostPhys.13.3.075
  • Open Access
    Groeneveld, G., Dunkle, M. N., Pursch, M., Mes, E. P. C., Schoenmakers, P. J., & Gargano, A. F. G. (2022). Investigation of the effects of solvent-mismatch and immiscibility in normal-phase × aqueous reversed-phase liquid chromatography. Journal of Chromatography A, 1665, Article 462818. https://doi.org/10.1016/j.chroma.2022.462818
  • Open Access
    Yang, F., van Herwerden, D., Preud’homme, H., & Samanipour, S. (2022). Collision Cross Section Prediction with Molecular Fingerprint Using Machine Learning. Molecules, 27(19), Article 6424. https://doi.org/10.3390/molecules27196424
  • Open Access
    Lashgari, D., Merino Tejero, E., Meyer-Hermann, M., Claireaux, M. A. F., van Gils, M. J., Hoefsloot, H. C. J., & Van Kampen, A. H. C. (2022). From affinity selection to kinetic selection in Germinal Centre modelling. PLoS Computational Biology, 18(6), Article e1010168. https://doi.org/10.1371/journal.pcbi.1010168
  • Open Access
    KM3NeT Collaboration, Aiello, S., Basegmez du Pree, S., Bouwhuis, M., Bruijn, R., Domi, A., van Eeden, T., van Eijk, D., Gatius, C., Heijboer, A., de Jong, M., de Jong, P., Jung, B. J., Kooijman, P., Melis, K. W., Muller, R., Ó Fearraigh, B., Pestel, V., Samtleben, D. F. E., ... JUNO Collaboration (2022). Combined sensitivity of JUNO and KM3NeT/ORCA to the neutrino mass ordering. Journal of High Energy Physics, 2022(3), Article 55. https://doi.org/10.1007/JHEP03(2022)055
  • Open Access
    Ginés, E. U., Mena, O., & Witte, S. J. (2022). Revisiting constraints on WIMPs around primordial black holes. Physical Review D, 106(6), Article 063538. https://doi.org/10.1103/PhysRevD.106.063538
  • Open Access
    Van Echelpoel, R., Kranenburg, R. F., van Asten, A. C., & De Wael, K. (2022). Electrochemical detection of MDMA and 2C-B in ecstasy tablets using a selectivity enhancement strategy by in-situ derivatization. Forensic Chemistry, 27, Article 100383. https://doi.org/10.1016/j.forc.2021.100383
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