Mads Nielsen

Mads Nielsen

Professor

ORCID: 0000-0003-1535-068X

Publication year:
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1 - 10 out of 11Page size: 10
  1. 2024
  2. 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

  3. Published

    An assessment of the value of deep neura networks in genetic risk prediction for surgically relevant outcomes

    Christensen, M. A., Sigurdsson, Arnór Ingi, Bonde, A., Rasmussen, Simon, Ostrowski, Sisse Rye, Nielsen, Mads & Sillesen, Martin Hylleholt, 2024, In: PLoS ONE. 19, 7, e0294368.

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

  4. Published

    Artificial intelligence for MRI stroke detection: a systematic review and meta-analysis

    Bojsen, J. A., Elhakim, M. T., Graumann, O., Gaist, D., Nielsen, Mads, Harbo, F. S. G., Krag, C. H., Sagar, M. V., Kruuse, Christina Rostrup, Boesen, Mikael Ploug & Rasmussen, B. S. B., 2024, In: Insights into Imaging. 15, 1, 13 p., 160.

    Research output: Contribution to journal › Review › Research › peer-review

  5. 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

  6. Published

    COVID-19-associated cerebral microbleeds in the general population

    Sagar, M. V., Ferrer, N. R., Mehdipour Ghazi, Mostafa, Klein, Kiril Vadimovic, Solem, Espen Victor Jimenez, Nielsen, Mads & Kruuse, Christina Rostrup, 2024, In: Brain Communications. 6, 3, fcae127.

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

  7. 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

  8. Published

    Early Indicators of the Impact of Using AI in Mammography Screening for Breast Cancer

    Lauritzen, Andreas, Lillholm, Martin, Lynge, Elsebeth, Nielsen, Mads, Karssemeijer, N. & Vejborg, I., 2024, In: Radiology. 311, 3, 9 p., e232479.

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

  9. 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

  10. 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

  11. Published

    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, In: European Radiology. 34, p. 3935–3946

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

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