Andreas Lauritzen

Andreas Lauritzen

Postdoc


Udgivelsesår:
  1. Udgivet

    Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients

    Jimenez-Solem, E., Petersen, T. S., Hansen, C., Hansen, C., Lioma, C., Igel, C., Boomsma, W., Krause, O., Lorenzen, S., Selvan, R., Petersen, J., Nyeland, M. E., Ankarfeldt, M. Z., Virenfeldt, G. M., Winther-Jensen, M., Linneberg, A., Ghazi, M. M., Detlefsen, N., Lauritzen, A. D., Smith, A. G. & 15 flere, de Bruijne, Marleen, Ibragimov, Bulat, Petersen, Jens, Lillholm, Martin, Middleton, Jon Anthony, Mogensen, S. H., Thorsen-Meyer, H., Perner, Anders, Helleberg, M., Kaas-Hansen, Benjamin Skov, Bonde, M., Bonde, A., Pai, A., Nielsen, Mads & Sillesen, Martin Hylleholt, 2021, I: Scientific Reports. 11, 1, 12 s., 3246.

    Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

  2. Udgivet

    Development and Clinical Evaluation of Deep Learning Models for Personalized Breast Cancer Screening

    Lauritzen, Andreas, 2023, Department of Computer Science, Faculty of Science, University of Copenhagen. 140 s.

    Publikation: Bog/antologi/afhandling/rapportPh.d.-afhandling

  3. Udgivet

    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, I: Radiology. 304, 1, s. 41-49

    Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

  4. Udgivet

    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, I: Journal of Medical Imaging. 10, 5, s. 1-16 054003.

    Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

  5. Udgivet

    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, I: Radiology. 308, 2, 8 s., e230227.

    Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

  6. Udgivet

    Identifying recurrent breast cancer patients in national health registries using machine learning

    Lauritzen, Andreas, Berg, T., Jensen, M., Lillholm, Martin & Knoop, A., 2023, I: Acta Oncologica. 62, 4, s. 350–357

    Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

  7. Udgivet

    Preserved blood-brain barrier and neurovascular coupling in female 5xFAD model of Alzheimer's disease

    Zhukov, Oleg, He, Chen, Soylu-Kucharz, R., Cai, Changsi, Lauritzen, Andreas, Aldana, Blanca, Björkqvist, M., Lauritzen, Martin & Kucharz, Krzysztof, 2023, I: Frontiers in Aging Neuroscience. 15, 18 s., 1089005.

    Publikation: Bidrag til tidsskriftTidsskriftartikelfagfællebedømt

ID: 203829056