Mads Nielsen

Mads Nielsen

Professor

ORCID: 0000-0003-1535-068X

Publication year:
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  1. 2024
  2. Published

    CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning From Sporadic Temporal Data

    Mehdipour Ghazi, Mostafa, Sørensen, L., Ourselin, S. & Nielsen, Mads, 2024, In: IEEE Transactions on Neural Networks and Learning Systems. 35, 1, p. 792-802

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

  3. E-pub ahead of print

    Population-wide evaluation of artificial intelligence and radiologist assessment of screening mammograms

    Kühl, J., Elhakim, M. T., Stougaard, S. W., Rasmussen, B. S. B., Nielsen, Mads, Gerke, O., Larsen, L. B. & Graumann, O., 2024, (E-pub ahead of print) In: European Radiology. 12 p.

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

  4. Published

    Heterogeneous Learning for Brain Lesion Segmentation, Detection, and Classification

    Llambias, Sebastian Nørgaard, Nielsen, Mads & Mehdipour Ghazi, Mostafa, 2024, Proceedings of the 5th Northern Lights Deep Learning Conference ({NLDL}). PMLR, p. 138-144 (Proceedings of Machine Learning Research, Vol. 233).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  5. Published

    Comparative analysis of multimodal biomarkers for amyloid-beta positivity detection in Alzheimer's disease cohorts

    Mehdipour Ghazi, Mostafa, Selnes, P., Timón-Reina, S., Tecelão, S., Ingala, S., Bjørnerud, A., Kirsebom, B. E., Fladby, T. & Nielsen, Mads, 2024, In: Frontiers in Aging Neuroscience. 16, 1345417.

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

  6. Published

    Local Gamma Augmentation for Ischemic Stroke Lesion Segmentation on MRI

    Middleton, Jon Anthony, Bauer, Marko, Johansen, Jacob, Perslev, Mathias, Sheng, K., Ingala, S., Nielsen, Mads & Pai, A., 2024, Proceedings of the 5th Northern Lights Deep Learning Conference ({NLDL}). PMLR, p. 158-164 (Proceedings of Machine Learning Research, Vol. 233).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  7. Published

    AI supported fetal echocardiography with quality assessment

    Taksoee-Vester, C. A., Mikolaj, K., Bashir, Z., Christensen, A. N., Petersen, Olav Bennike Bjørn, Sundberg, K., Feragen, A., Svendsen, M. B. S., Nielsen, Mads & xgz472, xgz472, 2024, In: Scientific Reports. 14, 1, 9 p., 5809.

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

  8. 2023
  9. Published

    Deep Learning-Based Assessment of Cerebral Microbleeds in COVID-19

    Ferrer, N. R., Vendela Sagar, M., Klein, Kiril Vadimovic, Kruuse, Christina Rostrup, Nielsen, Mads & Mehdipour Ghazi, Mostafa, 2023, 2023 IEEE International Symposium on Biomedical Imaging, ISBI 2023. IEEE Computer Society Press, p. 1-4 4 p. (Proceedings - International Symposium on Biomedical Imaging, Vol. 2023-April).

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

  10. Published

    Online transfer learning with partial feedback

    Kang, Zhongfeng, Nielsen, Mads, Yang, B., Deng, L. & Lorenzen, S. S., 2023, In: Expert Systems with Applications. 212, 13 p., 118738.

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

  11. Published

    Partial feedback online transfer learning with multi-source domains

    Kang, Zhongfeng, Nielsen, Mads, Yang, B. & Mehdipour Ghazi, Mostafa, 2023, In: Information Fusion. 89, p. 29-40

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

  12. Published

    Diagnostic test accuracy study of a commercially available deep learning algorithm for ischemic lesion detection on brain MRIs in suspected stroke patients from a non-comprehensive stroke center

    Krag, C. H., Müller, F. C., Gandrup, K. L., Raaschou, H., Andersen, Michael Brun, Brejnebøl, M. W., Sagar, M. V., Bojsen, J. A., Rasmussen, B. S., Graumann, O., Nielsen, Mads, Kruuse, Christina Rostrup & Boesen, Mikael Ploug, 2023, In: European Journal of Radiology. 168, 8 p., 111126.

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

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