Mads Nielsen

Mads Nielsen

Professor


  1. 2022
  2. Udgivet

    A buffered online transfer learning algorithm with multi-layer network

    Kang, Zhongfeng, Yang, B., Nielsen, Mads, Deng, L. & Yang, S., 2022, I: Neurocomputing. 488, s. 581-597 17 s.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  3. Udgivet

    Multimodal Variational Autoencoders for Semi-Supervised Learning: In Defense of Product-of-Experts

    Kutuzova, S., Krause, Oswin, McCloskey, D., Nielsen, Mads & Igel, Christian, jan. 2022, arXiv.org, 29 s.

    Publikation: Working paperPreprintForskning

  4. E-pub ahead of print

    An Artificial Intelligence–based Mammography Screening Protocol for Breast Cancer: Outcome and Radiologist Workload

    Lauritzen, Andreas, Rodríguez-Ruiz, A., von Euler-Chelpin, My Catarina, Lynge, Elsebeth, Vejborg, I., Nielsen, Mads, Karssemeijer, N. & Lillholm, Martin, 2022, (E-pub ahead of print) I: Radiology. 9 s.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  5. Udgivet

    Information Bottleneck: Exact Analysis of (Quantized) Neural Networks

    Lorenzen, S. S., Igel, Christian & Nielsen, Mads, 2022, arXiv.org, 19 s.

    Publikation: Working paperPreprintForskning

  6. 2021
  7. Udgivet

    Information Processing in Medical Imaging: 27th International Conference, IPMI 2021, Virtual Event, June 28–June 30, 2021, Proceedings

    Feragen, A. (red.), Sommer, Stefan Horst (red.), Schnabel, J. (red.) & Nielsen, Mads (red.), 2021, Springer. 782 s. (Lecture Notes in Computer Science, Bind 12729).

    Publikation: Bog/antologi/afhandling/rapportAntologiForskningfagfællebedømt

  8. 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, Mads, Ourselin, S., Cardoso, M. J., Barkhof, F. & Modat, M., 2021, Medical Imaging 2021: Image Processing. Isgum, I. & Landman, B. A. (red.). SPIE, s. 1-8 1159608. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE, Bind 11596).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  9. Udgivet

    Extension of Plant Phenotypes by the Foliar Microbiome

    Hawkes, C. V., Kjøller, Rasmus, Raaijmakers, J. M., Riber, Leise, Christensen, Svend, Rasmussen, Simon, Christensen, Jan H., Dahl, A. B., Westergaard, Jesper Cairo, Nielsen, Mads, Brown-Guedira, G. & Hansen, Lars Hestbjerg, 2021, I: Annual Review of Plant Biology. 72, s. 823-846 24 s.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  10. Udgivet

    Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients

    Jimenez-Solem, E., Petersen, Tonny Studsgaard, Hansen, Casper, Hansen, C., Lioma, Christina, Igel, Christian, Boomsma, Wouter, Krause, Oswin, Lorenzen, S., Selvan, Raghav, Petersen, Janne, Nyeland, M. E., Ankarfeldt, Mikkel Zöllner, Virenfeldt, G. M., Winther-Jensen, M., Linneberg, Allan René, Mehdipour Ghazi, Mostafa, Detlefsen, N., Lauritzen, Andreas, Smith, Abraham George, de Bruijne, Marleen, Ibragimov, Bulat, Petersen, Jens, Lillholm, Martin, Middleton, Jon Anthony, Mogensen, S. H., Thorsen-Meyer, H., Perner, Anders, Helleberg, M., Kaas-Hansen, Benjamin Skov, Bonde, M., Bonde, A., Pai, A., Nielsen, Mads & Sillesen, Martin Hylleholt, 2021, I: Scientific Reports. 11, 1, 12 s., 3246.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  11. Udgivet

    Bi-modal Variational Autoencoders for Metabolite Identification Using Tandem Mass Spectrometry

    Kutuzova, S., Igel, Christian, Nielsen, Mads & McCloskey, D., 2021, bioRxiv, 22 s.

    Publikation: Working paperPreprintForskning

  12. Udgivet

    Using machine learning for predicting intensive care unit resource use during the COVID-19 pandemic in Denmark

    Lorenzen, S. S., Nielsen, Mads, Jimenez-Solem, E., Petersen, Tonny Studsgaard, Perner, Anders, Thorsen-Meyer, H., Igel, Christian & Sillesen, Martin Hylleholt, 23 sep. 2021, I: Scientific Reports. 11, 1, 10 s., 18959.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

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