Mads Nielsen

Mads Nielsen

Professor


  1. 2024
  2. Udgivet

    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, I: Scientific Reports. 14, 1, 9 s., 5809.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  3. Udgivet

    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, I: IEEE Transactions on Neural Networks and Learning Systems. 35, 1, s. 792-802

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  4. Udgivet

    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, I: Brain Communications. 6, 3, fcae127.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  5. Udgivet

    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, I: Frontiers in Aging Neuroscience. 16, 1345417.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  6. Udgivet

    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, I: Radiology. 311, 3, 9 s., e232479.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  7. Udgivet

    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, s. 138-144 (Proceedings of Machine Learning Research, Bind 233).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  8. Udgivet

    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, s. 158-164 (Proceedings of Machine Learning Research, Bind 233).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  9. 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) I: European Radiology. 12 s.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  10. Accepteret/In press

    Role of artificial-intelligence-assisted automated cardiac biometrics in prenatal screening for coarctation of aorta

    Taksøe-Vester, C. A., Mikolaj, K., Petersen, Olav Bennike Bjørn, Vejlstrup, N. G., Christensen, A. N., Feragen, A., Nielsen, Mads, Svendsen, M. B. S. & xgz472, xgz472, 2024, (Accepteret/In press) I: Ultrasound in Obstetrics and Gynecology.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  11. 2023
  12. Udgivet

    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. (red.). Springer, s. 224-234 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 14307 LNCS).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

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