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  1. Published

    An S1-Nanoparticle Vaccine Protects against SARS-CoV-2 Challenge in K18-hACE2 Mice

    van Oosten, L., Yan, K., Rawle, D. J., Le, T. T., Altenburg, J. J., Fougeroux, Cyrielle Elyette, Goksøyr, L., de Jongh, W. A., Nielsen, Morten Agertoug, Sander, Adam F. , Pijlman, G. P. & Suhrbier, A., 2022, In: Journal of Virology. 96, 14, 00844-22.

    Research output: Contribution to journal › Letter › Research › peer-review

  2. Published

    Two-component nanoparticle vaccine displaying glycosylated spike S1 domain induces neutralizing antibody response against SARS-CoV-2 variants

    van Oosten, L., Altenburg, J. J., Fougeroux, C., Geertsema, C., van den End, F., Evers, W. A. C., Westphal, A. H., Lindhoud, S., van den Berg, W., Swarts, D. C., Deurhof, L., Suhrbier, A., Le, T. T., Torres Morales, S., Myeni, S. K., Kikkert, M., Sander, A. F., de Jongh, W. A., Dagil, R., Nielsen, M. A. & 9 others, Salanti, Ali, Søgaard, M., Keijzer, T. M. P., Weijers, D., Eppink, M. H. M., Wijffels, R. H., van Oers, M. M., Martens, D. E. & Pijlman, G. P., 26 Oct 2021, In: mBio. 12, 5, e0181321.

    Research output: Contribution to journal › Journal article › Research › peer-review

  3. Published

    Recurrence of hypertensive disorders of pregnancy: an individual patient data metaanalysis

    van Oostwaard, M. F., Langenveld, J., Schuit, E., Papatsonis, D. N. M., Brown, M. A., Byaruhanga, R. N., Bhattacharya, S., Campbell, D. M., Chappell, L. C., Chiaffarino, F., Crippa, I., Facchinetti, F., Ferrazzani, S., Ferrazzi, E., Figueiró-Filho, E. A., Gaugler-Senden, I. P. M., Haavaldsen, C., Lykke, J. A., Mbah, A. K., Oliveira, V. M. & 9 others, Poston, L., Redman, C. W. G., Salim, R., Thilaganathan, B., Vergani, P., Zhang, J., Steegers, E. A. P., Mol, B. W. J. & Ganzevoort, W., May 2015, In: American Journal of Obstetrics and Gynecology. 212, 5, p. 624.e1-624.e17 17 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  4. Published

    Transfer Learning for Image Segmentation by Combining Image Weighting and Kernel Learning

    van Opbroek, A., Achterberg, H. C., Vernooij, M. W. & de Bruijne, Marleen, 2019, In: IEEE Transactions on Medical Imaging. 38, 1, p. 213-224 8419778.

    Research output: Contribution to journal › Journal article › Research › peer-review

  5. Published

    Weighting training images by maximizing distribution similarity for supervised segmentation across scanners

    van Opbroek, A., Vernooij, M. W., Ikram, M. A. & de Bruijne, Marleen, 2015, In: Medical Image Analysis. 24, 1, p. 245-254 10 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  6. Published

    Feature-space transformation improves supervised segmentation across scanners

    van Opbroek, A., Achterberg, H. C. & de Bruijne, Marleen, 2015, Machine learning meets medical imaging: First International Workshop, MLMMI 2015, Held in Conjunction with ICML 2015, Lille, France, July 11, 2015, Revised Selected Papers. Springer, p. 85-93 9 p. (Lecture notes in computer science, Vol. 9487).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  7. Published

    Transfer learning improves supervised image segmentation across imaging protocols

    van Opbroek, A., Ikram, M. A., Vernooij, M. W. & de Bruijne, Marleen, 2015, In: IEEE Transactions on Medical Imaging. 34, 5, p. 1018-1030 13 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  8. Published

    Transfer learning by feature-space transformation: A method for Hippocampus segmentation across scanners

    van Opbroek, A., Achterberg, H. C., Vernooij, M. W., Arfan Ikram, M. & de Bruijne, Marleen, 2018, In: NeuroImage: Clinical. 20, p. 466-475 10 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  9. Published

    A transfer-learning approach to image segmentation across scanners by maximizing distribution similarity

    van Opbroek, A., Ikram, M. A., Vernooij, M. W. & de Bruijne, Marleen, 2013, Machine Learning in Medical Imaging: 4th International Workshop, MLMI 2013, held in conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013. Proceedings. Wu, G., Zhang, D., Shen, D., Yan, P., Suzuki, K. & Wang, F. (eds.). Springer, p. 49-56 8 p. (Lecture notes in computer science, Vol. 8184).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  10. Published

    Supervised image segmentation across scanner protocols: a transfer learning approach

    van Opbroek, A., Ikram, M. A., Vernooij, M. W. & de Bruijne, Marleen, 2012, Machine Learning in Medical Imaging: Third International Workshop, MLMI 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1, 2012, Revised Selected Papers. Wang, F., Shen, D., Yan, P. & Suzuki, K. (eds.). Springer, p. 160-167 8 p. (Lecture notes in computer science, Vol. 7588).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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