Mads Nielsen

Mads Nielsen

Professor


  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, Morten B.S., Nielsen, Mads & xgz472, xgz472, 2024, In: Scientific Reports. 14, 1, 9 p., 5809.

    Research output: Contribution to journalJournal articlepeer-review

  3. 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 journalJournal articlepeer-review

  4. 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 journalJournal articlepeer-review

  5. 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 journalJournal articlepeer-review

  6. 2023
  7. Published

    Active Transfer Learning for 3D Hippocampus Segmentation

    Wu, J., Kang, Zhongfeng, Llambias, Sebastian Nørgaard, Mehdipour Ghazi, Mostafa & Nielsen, Mads, 2023, Medical Image Learning with Limited and Noisy Data - 2nd International Workshop, MILLanD 2023, Held in Conjunction with MICCAI 2023, Proceedings. Xue, Z., Antani, S., Zamzmi, G., Yang, F., Rajaraman, S., Liang, Z., Huang, S. X. & Linguraru, M. G. (eds.). Springer, p. 224-234 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 14307 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  8. Published

    An Analysis of Spatial-Spectral Dependence in Hyperspectral Autoencoders

    Laprade, W. M., Westergaard, Jesper Cairo, Nielsen, J., Nielsen, Mads & Dahl, A. B., 2023, Image Analysis - 23rd Scandinavian Conference, SCIA 2023, Proceedings. Gade, R., Felsberg, M. & Kämäräinen, J-K. (eds.). Springer, p. 191-202 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 13886 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

  9. Published

    Assessing Breast Cancer Risk by Combining AI for Lesion Detection and Mammographic Texture

    Lauritzen, Andreas, von Euler-Chelpin, My Catarina, Lynge, Elsebeth, Vejborg, I., Nielsen, Mads, Karssemeijer, N. & Lillholm, Martin, 2023, In: Radiology. 308, 2, 8 p., e230227.

    Research output: Contribution to journalJournal articlepeer-review

  10. Published

    Breast density and risk of breast cancer

    Lynge, Elsebeth, Vejborg, I., Lillholm, Martin, Nielsen, Mads, Napolitano, George & von Euler-Chelpin, My Catarina, 2023, In: International Journal of Cancer. 152, 6, p. 1150-1158 9 p.

    Research output: Contribution to journalJournal articlepeer-review

  11. 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 proceedingArticle in proceedingsResearchpeer-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 journalJournal articlepeer-review

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