1. 2020
  2. Weakly supervised object detection with 2D and 3D regression neural networks

    Dubost, F., Adams, H., Yilmaz, P., Bortsova, G., Tulder, G. V., Ikram, M. A., Niessen, W., Vernooij, M. W. & Bruijne, M. D., Oct 2020, In : Medical Image Analysis. 65, 101767.

    Research output: Contribution to journalArticleScientificpeer-review

  3. Automated Estimation of the Spinal Curvature via Spine Centerline Extraction with Ensembles of Cascaded Neural Networks

    Dubost, F., Collery, B., Renaudier, A., Roc, A., Posocco, N., Niessen, W. & de Bruijne, M., 2020, Computational Methods and Clinical Applications for Spine Imaging - 6th International Workshop and Challenge, CSI 2019, Proceedings. Cai, Y., Wang, L., Audette, M., Zheng, G. & Li, S. (eds.). Springer Open, p. 88-94 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11963 LNCS).

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  4. Automated classification of significant prostate cancer on MRI: A systematic review on the performance of machine learning applications

    Castillo, J. M. T., Arif, M., Niessen, W. J., Schoots, I. G. & Veenland, J. F., 2020, In : Cancers. 12, 6, 13 p., 1606.

    Research output: Contribution to journalArticleScientificpeer-review

  5. Automatic Collateral Scoring from 3D CTA Images

    Su, J., Wolff, L., Van Es, A. C. G. M., Van Zwam, W., Majoie, C., Dippel, D. W. J., Van Der Lugt, A., Niessen, W. J. & Van Walsum, T., 2020, In : IEEE Transactions on Medical Imaging. 39, 6, p. 2190-2200 8960439.

    Research output: Contribution to journalArticleScientificpeer-review

  6. Cerebral blood flow and cognitive functioning in patients with disorders along the heart–brain axis: Cerebral blood flow and the heart–brain axis

    Heart–Brain Connection consortium & More Authors, 2020, (Accepted/In press) In : Alzheimer's and Dementia: Translational Research and Clinical Interventions.

    Research output: Contribution to journalArticleScientificpeer-review

  7. 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. 33, p. 217-219 3 p.

    Research output: Contribution to journalEditorialScientific

  8. Integrating artificial intelligence into the clinical practice of radiology: challenges and recommendations

    Recht, M. P., Dewey, M., Dreyer, K., Langlotz, C., Niessen, W., Prainsack, B. & Smith, J. J., 2020, In : European Radiology. 30, 6, p. 3576-3584 9 p.

    Research output: Contribution to journalArticleScientificpeer-review

  9. Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation

    Dubost, F., de Bruijne, M., Nardin, M., Dalca, A. V., Donahue, K. L., Giese, A. K., Etherton, M. R., Wu, O., Niessen, W. & More Authors, 2020, In : Medical Image Analysis. 63, 14 p., 101698.

    Research output: Contribution to journalArticleScientificpeer-review

  10. Neuro4Neuro: A neural network approach for neural tract segmentation using large-scale population-based diffusion imaging

    Li, B., de Groot, M., Steketee, R. M. E., Meijboom, R., Smits, M., Vernooij, M. W., Ikram, M. A., Liu, J., Niessen, W. J. & More Authors, 2020, In : NeuroImage. 218, 13 p., 116993.

    Research output: Contribution to journalArticleScientificpeer-review

  11. Predicting Global Cognitive Decline in the General Population Using the Disease State Index

    Cremers, L. G. M., Huizinga, W., Niessen, W. J., Krestin, G. P., Poot, D. H. J., Ikram, M. A., Lötjönen, J., Klein, S. & Vernooij, M. W., 2020, In : Frontiers in Aging Neuroscience. 11, 12 p., 379.

    Research output: Contribution to journalArticleScientificpeer-review

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