1. 2020
  2. ESMRMB Round Table report on “Can Europe Lead in Machine Learning of MRI-Data?”

    Pizzini, F. B., Pesapane, F., Niessen, W., Geerts-Ossevoort, L. & Broeckx, N., 2020, In : Magnetic Resonance Materials in Physics, Biology and Medicine. 3 p.

    Research output: Contribution to journalEditorialScientific

  3. Fast multi-component analysis using a joint sparsity constraint for MR fingerprinting

    Nagtegaal, M., Koken, P., Amthor, T. & Doneva, M., 2020, In : Magnetic Resonance in Medicine. 83, 2, p. 521-534

    Research output: Contribution to journalArticleScientificpeer-review

  4. Localization microscopy at doubled precision with patterned illumination

    Cnossen, J., Hinsdale, T., Thorsen, R., Siemons, M., Schueder, F., Jungmann, R., Smith, C. S., Rieger, B. & Stallinga, S., 2020, In : Nature Methods. 17, p. 59-63

    Research output: Contribution to journalArticleScientificpeer-review

  5. Spatial versus angular resolution for tractography-assisted planning of deep brain stimulation

    Liebrand, L. C., van Wingen, G. A., Vos, F. M., Denys, D. & Caan, M. W. A., 2020, In : NeuroImage: Clinical. 25, 102116.

    Research output: Contribution to journalArticleScientificpeer-review

  6. 2019
  7. Reconstructing 3D proton dose distribution using ionoacoustics

    van Dongen, K., de Blécourt, A., Lens, E., Schaart, D. & Vos, F., 15 Nov 2019, In : Physics in Medicine and Biology. 64, 22, 1 p., 225005.

    Research output: Contribution to journalArticleScientificpeer-review

  8. Gray Matter Age Prediction 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. J. & Roshchupkin, G. V., 15 Oct 2019, In : Proceedings of the National Academy of Sciences of the United States of America. 116, 42, p. 21213-21218

    Research output: Contribution to journalArticleScientificpeer-review

  9. Automated versus subjective assessment of spatial and temporal MRI small bowel motility in Crohn's disease

    Gollifer, R. M., Menys, A., Plumb, A., Mengoudi, K., Puylaert, C. A. J., Tielbeek, J. A. W., Ponsioen, C. Y., Vos, F. M., Stoker, J., Taylor, S. A. & Atkinson, D., 1 Oct 2019, In : Clinical Radiology. 74, 10, p. 814.e9-814.e19

    Research output: Contribution to journalArticleScientificpeer-review

  10. Sensor for microscopy

    Hulsken, B. & Stallinga, S., 16 Jul 2019, Patent No. US10353190B2

    Research output: PatentOther research output

  11. 3D regression neural network for the quantification of enlarged perivascular spaces in brain MRI

    Dubost, F., Adams, H., Bortsova, G., Ikram, M. A., Niessen, W., Niessen, W., Vernooij, M., de Bruijne, M. & de Bruijne, M., 2019, In : Medical Image Analysis. 51, p. 89-100

    Research output: Contribution to journalArticleScientificpeer-review

  12. A Hybrid Deep Learning Framework for Integrated Segmentation and Registration: Evaluation on Longitudinal White Matter Tract Changes

    Li, B., Niessen, W., Klein, S., de Groot, M., Arfan Ikram, M., Vernooij, M. & Bron, E. E., 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 . Shen, D., Liu, T., Peters, T. M., Staib, L. H., Essert, C., Zhou, S., Yap, P-T. & Khan, A. (eds.). Springer, p. 645-653 (Lecture Notes in Computer Science ; vol. 11766).

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

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