Mads Nielsen

Mads Nielsen

Professor

ORCID: 0000-0003-1535-068X

Publication year:
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21 - 30 out of 373Page size: 10
  1. 2023
  2. Published

    Robust cross-vendor mammographic texture models using augmentation-based domain adaptation for long-term breast cancer risk

    Lauritzen, Andreas, von Euler-Chelpin, My Catarina, Lynge, Elsebeth, Vejborg, I., Nielsen, Mads, Karssemeijer, N. & Lillholm, Martin, 2023, In: Journal of Medical Imaging. 10, 5, p. 1-16 054003.

    Research output: Contribution to journal › Journal article › Research › peer-review

  3. 2022
  4. Published

    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 p.

    Research output: Working paper › Preprint › Research

  5. Published

    A buffered online transfer learning algorithm with multi-layer network

    Kang, Z., Yang, B., Nielsen, Mads, Deng, L. & Yang, S., 2022, In: Neurocomputing. 488, p. 581-597 17 p.

    Research output: Contribution to journal › Journal article › Research › peer-review

  6. Published

    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, In: Radiology. 304, 1, p. 41-49

    Research output: Contribution to journal › Journal article › Research › peer-review

  7. Published

    Augmentation based unsupervised domain adaptation

    Orbes-Arteaga, M., Varsavsky, T., Sørensen, L., Nielsen, Mads, Pai, A. S. U., Ourselin, S., Modat , M. & Cardoso, M. J., 2022, arXiv.org, 12 p.

    Research output: Working paper › Preprint › Research

  8. Published

    FAST-AID Brain: Fast and Accurate Segmentation Tool using Artificial Intelligence Developed for Brain

    Mehdipour Ghazi, Mostafa & Nielsen, Mads, 2022, arXiv.org, 18 p.

    Research output: Working paper › Preprint › Research

  9. Published

    Information Bottleneck: Exact Analysis of (Quantized) Neural Networks

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

    Research output: Working paper › Preprint › Research

  10. Published

    Machine learning and deep learning applications in microbiome research

    Hernandez Medina, Ricardo, Kutuzova, Svetlana, Nielsen, Knud Nor, Johansen, Joachim, Hansen, Lars Hestbjerg, Nielsen, Mads & Rasmussen, Simon, 2022, In: ISME Communications. 2, 7 p., 98.

    Research output: Contribution to journal › Journal article › Research › peer-review

  11. 2021
  12. Published

    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, In: Scientific Reports. 11, 1, 10 p., 18959.

    Research output: Contribution to journal › Journal article › Research › peer-review

  13. Published

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

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

    Research output: Working paper › Preprint › Research

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