Amsterdam Neuroscience - Neuroinfection & -inflammation (VUmc)

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  • 2024

    Leveraging Ellipsoid Bounding Shapes and Fast R-CNN for Enlarged Perivascular Spaces Detection and Segmentation

    Zabihi, M., Tangwiriyasakul, C., Ingala, S., Lorenzini, L., Camarasa, R., Barkhof, F., de Bruijne, M., Cardoso, M. J. & Sudre, C. H., 2024, Machine Learning in Medical Imaging - 14th International Workshop, MLMI 2023, Held in Conjunction with MICCAI 2023, Proceedings. Cao, X., Ouyang, X., Xu, X., Rekik, I. & Cui, Z. (eds.). Springer Science and Business Media Deutschland GmbH, Vol. 14349 LNCS. p. 325-334 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14349 LNCS).

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

  • 2023

    A Coupled-Mechanisms Modelling Framework for Neurodegeneration

    He, T., Thompson, E., Schroder, A., Oxtoby, N. P., Abdulaal, A., Barkhof, F. & Alexander, D. C., 2023, Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 - 26th International Conference, Proceedings. Greenspan, H., Madabhushi, A., Mousavi, P., Salcudean, S., Duncan, J., Syeda-Mahmood, T. & Taylor, R. (eds.). Springer Science and Business Media Deutschland GmbH, Vol. 14227 LNCS. p. 459-469 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14227 LNCS).

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

    1 Citation (Scopus)
  • DeepBrainPrint: A Novel Contrastive Framework for Brain MRI Re-Identification

    Puglisi, L. & The Alzheimer's Disease Neuroimaging Initiative, 2023, Medical Imaging with Deep Learning 2023, MIDL 2023. Oguz, I., Noble, J., Li, X., Styner, M., Baumgartner, C., Rusu, M., Heinmann, T., Kontos, D., Landman, B. & Dawant, B. (eds.). ML Research Press, Vol. 227. p. 716-729 (Proceedings of Machine Learning Research).

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

  • 2021

    An Automated and High Precision Quantitative Analysis of the ACR Phantom

    Markiewicz, P. J., da Costa-Luis, C., Dickson, J., Barnes, A., Krokos, G., MacKewn, J., Clark, T., Wimberley, C., MacNaught, G., Yaqub, M. M., Gispert, J. D., Hutton, B. F., Marsden, P., Hammers, A., Reader, A. J., Ourselin, S., Herholz, K., Matthews, J. C. & Barkhof, F., 2021, 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference Record, NSS/MIC 2021 and 28th International Symposium on Room-Temperature Semiconductor Detectors, RTSD 2022. Tomita, H. & Nakamura, T. (eds.). Institute of Electrical and Electronics Engineers Inc., (2021 IEEE Nuclear Science Symposium and Medical Imaging Conference Record, NSS/MIC 2021 and 28th International Symposium on Room-Temperature Semiconductor Detectors, RTSD 2022).

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

  • Lesion-wise evaluation for effective performance monitoring of small object segmentation

    Groothuis, I., Sudre, C. H., Ingala, S., Barnes, J., Gispert, J. D., Sørensen, L., Pai, A., Nielsen, M., Ourselin, S., Cardoso, M. J., Barkhof, F. & Modat, M., 2021, Medical Imaging 2021: Image Processing. Isgum, I. & Landman, B. A. (eds.). SPIE, Vol. 11596. 1159608. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11596).

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

  • 2020

    Disentangling human error from the ground truth in segmentation of medical images

    Zhang, L., Tanno, R., Xu, M-C., Jin, C., Jacob, J., Ciccarelli, O., Barkhof, F. & Alexander, D. C., 2020, 34th Conference on Neural Information Processing Systems, NeurIPS 2020. Neural Information Processing Systems Foundation, Vol. 2020-December. (Advances in Neural Information Processing Systems).

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

    38 Citations (Scopus)
  • Learning to segment when experts disagree

    Zhang, L., Tanno, R., Bronik, K., Jin, C., Nachev, P., Barkhof, F., Ciccarelli, O. & Alexander, D. C., 2020, Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings. Martel, A. L., Abolmaesumi, P., Stoyanov, D., Mateus, D., Zuluaga, M. A., Zhou, S. K., Racoceanu, D. & Joskowicz, L. (eds.). Springer Science and Business Media Deutschland GmbH, Vol. 12261 LNCS. p. 179-190 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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

    10 Citations (Scopus)