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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. (red.). Springer Science and Business Media Deutschland GmbH, s. 325-334 10 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 14349 LNCS).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

  • 2022

    Auto-segmentation of Hip Joints Using MultiPlanar UNet with Transfer Learning

    Xu, P., Moshfeghifar, F., Gholamalizadeh, T., Nielsen, M. B., Erleben, K. & Darkner, S., 2022, Medical Image Learning with Limited and Noisy Data - 1st International Workshop, MILLanD 2022, Held in Conjunction with MICCAI 2022, Proceedings. Zamzmi, G., Antani, S., Rajaraman, S., Xue, Z., Bagci, U. & Linguraru, M. G. (red.). Springer Science and Business Media Deutschland GmbH, s. 153-162 10 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 13559 LNCS).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

    2 Citationer (Scopus)

  • Histogram-Based Unsupervised Domain Adaptation for Medical Image Classification

    Diao, P., Pai, A., Igel, C. & Krag, C. H., 2022, Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 - 25th International Conference, Proceedings. Wang, L., Dou, Q., Fletcher, P. T., Speidel, S. & Li, S. (red.). Springer Science and Business Media Deutschland GmbH, s. 755-764 10 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 13437 LNCS).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

    5 Citationer (Scopus)

  • Reducing Annotation Need in Self-explanatory Models for Lung Nodule Diagnosis

    Lu, J., Yin, C., Krause, O., Erleben, K., Nielsen, M. B. & Darkner, S., 2022, Interpretability of Machine Intelligence in Medical Image Computing - 5th International Workshop, iMIMIC 2022, Held in Conjunction with MICCAI 2022, Proceedings. Reyes, M., Henriques Abreu, P. & Cardoso, J. (red.). Springer Science and Business Media Deutschland GmbH, s. 33-43 11 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 13611 LNCS).

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

    3 Citationer (Scopus)
  • 2019

    What can physicians expect from deep learning in daily practice?

    Andersen, T. H., Darkner, S., Gutte, H., Lönn, L. & Carlsen, J. F., 2019, European Symposium on Vascular Biomaterials. 11th: Biomaterials and Digital Technologies for Future Individualized Patient Management in Vascular Surgery.

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

  • 2018

    Vector velocity ultrasound - a new ultrasound technique

    Lönn, L., Olesen, J., Jensen, J. A., Bachmann Nielsen, M. & Hansen, K. L., 2018, Charing Cross 2018 - Vascular and Endovascular Controversies Update. s. 389-94

    Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review