1. 2020
  2. Fast multi-component analysis using a joint sparsity constraint for MR fingerprinting

    Nagtegaal, M., Koken, P., Amthor, T. & Doneva, M., 1 Feb 2020, In : Magnetic Resonance in Medicine. 83, 2, p. 521-534 14 p.

    Research output: Contribution to journalArticleScientificpeer-review

  3. 2019
  4. Radiomics approach to distinguish between well differentiated liposarcomas and lipomas on MRI

    Vos, M., Starmans, M. P. A., Timbergen, M. J. M., van der Voort, S. R., Padmos, G. A., Kessels, W., Niessen, W. J., van Leenders, G. J. L. H., Grünhagen, D. J., Sleijfer, S., Verhoef, C., Klein, S. & Visser, J. J., 1 Dec 2019, In : British Journal of Surgery. 106, 13, p. 1800-1809 10 p.

    Research output: Contribution to journalArticleScientificpeer-review

  5. 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.

    Research output: Contribution to journalArticleScientificpeer-review

  6. 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

  7. 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

  8. Sensor for microscopy

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

    Research output: PatentOther research output

  9. 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

  10. 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

  11. A Multichannel Cross-Modal Fusion Framework for Electron Tomography

    Guo, Y., Aveyard, R. & Rieger, B., 2019, In : IEEE Transactions on Image Processing. 28, 9, p. 4206-4218 8673880.

    Research output: Contribution to journalArticleScientificpeer-review

  12. A genome-wide association study identifies genetic loci associated with specific lobar brain volumes

    van der Lee, S. J., Knol, M. J., Chauhan, G., Satizabal, C. L., Smith, A. V., Hofer, E., Bis, J. C., van den Akker, E. B., Niessen, W. J. & More Authors, 2019, In : Communications Biology. 2, 1, p. 1-9 9 p., 285.

    Research output: Contribution to journalArticleScientificpeer-review

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