Mathias Perslev

Mathias Perslev

Gæsteforsker

ORCID: 0000-0002-0358-4692

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  1. 2018
  2. Udgivet

    Knee Segmentation by Multiplanar Deep Learning Network – with data from OAI

    Perslev, Mathias, Pai, A. S. U., Igel, Christian & Dam, Erik Bjørnager, 2018. 1 s.

    Publikation: Konferencebidrag › Konferenceabstrakt til konference › Forskning › fagfællebedømt

  3. 2019
  4. Udgivet

    Accurate segmentation of dental panoramic radiographs with u-NETS

    Koch, T. L., Perslev, Mathias, Igel, Christian & Brandt, S. S., 2019, ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging. IEEE, s. 15-19

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

  5. Udgivet

    One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image Segmentation

    Perslev, Mathias, Dam, Erik Bjørnager, Pai, A. & Igel, Christian, 2019, Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings. Shen, D., Yap, P-T., Liu, T., Peters, T. M., Khan, A., Staib, L. H., Essert, C. & Zhou, S. (red.). Springer VS, s. 30-38 9 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 11765 LNCS).

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

  6. Udgivet

    U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging

    Perslev, Mathias, Hejselbak Jensen, M., Darkner, Sune, Jørgen Jennum, P. & Igel, Christian, 1 okt. 2019, Advances in Neural Information Processing Systems 32 (NIPS 2019). NIPS Proceedings, Bind 32. s. 4415-4426

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

  7. 2020
  8. Udgivet

    A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset: Findings From The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge

    Desai, A. D., Caliva, F., Iriondo, C., Khosravan, N., Mortazi, A., Jambawalikar, S., Torigian, D., Ellerman, J., Akcakaya, M., Bagci, U., Tibrewala, R., Flament, I., O`Brien, M., Majumdar, S., Perslev, M., Pai, A., Igel, C., Dam, E. B., Gaj, S., Yang, M. & 9 flere, Nakamura, K., Li, X., Deniz, C. M., Juras, V., Regatte, R., Gold, G. E., Hargreaves, B. A., Pedoia, V. & Chaudhari, A. S., 2020, I: Osteoarthritis and Cartilage Open. 28, Suppl. 1, s. 5304-5305

    Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning › fagfællebedømt

  9. Udgivet

    Constitutive internalization across therapeutically targeted GPCRs correlates with constitutive activity

    Schmidt, Jan Hendrik, Perslev, Mathias, Bukowski, L., Stoklund, M., Herborg, Freja, Herlo, R. & Madsen, Kenneth Lindegaard, 2020, I: Basic & Clinical Pharmacology & Toxicology. 126, S6, s. 116-121 6 s.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  10. 2021
  11. Udgivet

    How Few Annotations are Needed for Segmentation Using a Multi-planar U-Net?

    Laprade, W. M., Perslev, Mathias & Sporring, Jon, 2021, Deep Generative Models, and Data Augmentation, Labelling, and Imperfections - First Workshop, DGM4MICCAI 2021, and First Workshop, DALI 2021, Held in Conjunction with MICCAI 2021, Proceedings. Engelhardt, S., Oksuz, I., Zhu, D., Yuan, Y., Mukhopadhyay, A., Heller, N., Huang, S. X., Nguyen, H., Sznitman, R. & Xue, Y. (red.). Springer, s. 209-216 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 13003 LNCS).

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

  12. Udgivet

    The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset

    IWOAI Segmentation Challenge Writing Group, I. S. C. W. G., 2021, I: Radiology. Artificial intelligence. 3, 3, 13 s., e200078.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  13. Udgivet

    U-Sleep: resilient high-frequency sleep staging

    Perslev, Mathias, Darkner, Sune, Kempfner, L., Nikolic, M., Jennum, Poul & Igel, Christian, 15 apr. 2021, I: npj Digital Medicine. 4, 1, 12 s., 72.

    Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

  14. 2022
  15. Udgivet

    Automatic detection of abnormal sleeping patterns in stroke patients using high-frequency sleep staging

    Perslev, Mathias, West, A. S., Simonsen, S. A., Ponsaing, L. B., Iversen, Helle Klingenberg, Igel, Christian & Jennum, Poul, 2022, I: Journal of Sleep Research. 31, S1, 1 s.

    Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning

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ID: 202363425