1. 2019
  2. On-chip silicon Mach–Zehnder interferometer sensor for ultrasound detection

    Ouyang, B., Li, Y., Kruidhof, M., Horsten, R., van Dongen, K. W. A. & Caro, J., 2019, In : Optics Letters. 44, 8, p. 1928-1931

    Research output: Contribution to journalArticleScientificpeer-review

  3. One Nanometer Precision by Bayesian Grouping of Localizations

    Fazel, M., Rieger, B., Jungmann, R. & Lidke, K. A., 2019, In : Biophysical Journal. 116, 3, p. 291A-291A

    Research output: Contribution to journalMeeting AbstractScientific

  4. Optimized fast GPU implementation of robust artificial-neural-networks for k-space interpolation (RAKI) reconstruction

    Zhang, C., Hosseini, S. A. H., Weingärtner, S., Uǧurbil, K., Moeller, S. & Akçakaya, M., 2019, In : PLoS ONE. 14, 10, 14 p., e0223315.

    Research output: Contribution to journalArticleScientificpeer-review

  5. Orientation Prior and Consistent Model Selection Increase Sensitivity of Tract-Based Spatial Statistics in Crossing-Fiber Regions

    Arkesteijn, J., Poot, D., Ikram, M. A., Niessen, W., van Vliet, L., Vernooij, M. W. & Vos, F., 2019, In : IEEE Transactions on Medical Imaging. 12 p.

    Research output: Contribution to journalArticleScientificpeer-review

  6. Parameter Selection for Regularized Electron Tomography Without a Reference Image

    Guo, Y. & Rieger, B., 2019, Image Analysis - 21st Scandinavian Conference, SCIA 2019, Proceedings. Felsberg, M., Forssén, P-E., Unger, J. & Sintorn, I-M. (eds.). Springer, p. 452-464 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11482 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  7. Patterns of functional connectivity in an aging population: The Rotterdam Study

    Zonneveld, H. I., Pruim, R. HR., Bos, D., Vrooman, H. A., Muetzel, R. L., Hofman, A., Rombouts, S. ARB., van der Lugt, A., Niessen, W. J. & More Authors, 2019, In : NeuroImage. 189, p. 432-444

    Research output: Contribution to journalArticleScientificpeer-review

  8. Predicting brain age as a biomarker for risk of dementia

    Wang, J., Knol, M. J., Tiulpin, A., Dubost, F., de Bruijne, M., Vernooij, M. W., Adams, H. H. H., Ikram, M. A., Niessen, W. & Roshchupkin, G. V., 2019, In : Alzheimer Disease and Associated Disorders. 15, 7, p. P537-P538

    Research output: Contribution to journalMeeting AbstractScientific

  9. Predicting the 1p/19q Codeletion Status of Presumed Low-Grade Glioma with an Externally Validated Machine Learning Algorithm

    van der Voort, S. R., Incekara, F., Wijnenga, M. M. J., Kapas, G., Gardeniers, M., Schouten, J. W., French, P. J., Niessen, W. J., Klein, S. & More Authors, 2019, In : Clinical cancer research : an official journal of the American Association for Cancer Research. 25, 24, p. 7455-7462

    Research output: Contribution to journalArticleScientificpeer-review

  10. Publisher Correction: Super-resolution fight club: assessment of 2D and 3D single-molecule localization microscopy software (Nature Methods, (2019), 16, 5, (387-395), 10.1038/s41592-019-0364-4)

    Sage, D., Pham, T. A., Babcock, H., Lukes, T., Pengo, T., Chao, J., Velmurugan, R., Herbert, A., Rieger, B. & More Authors, 2019, In : Nature Methods. 16, 6, p. 561-561 1 p.

    Research output: Contribution to journalComment/Letter to the editorScientific

  11. Pulse length, energy spread, and temporal evolution of electron pulses generated with an ultrafast beam blanker

    Weppelman, I. G. C., Moerland, R. J., Zhang, L., Kieft, E., Kruit, P. & Hoogenboom, J. P., 2019, In : Structural Dynamics. 6, 2, 12 p., 024102.

    Research output: Contribution to journalArticleScientificpeer-review

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