Andreas Lauritzen
Postdoc
Machine Learning
Universitetsparken 1
2100 København Ø
- 2024
- 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
- 2023
- 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 journal › Journal article › Research › peer-review
- Published
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 p.Research output: Book/Report › Ph.D. thesis › Research
- Published
Identifying recurrent breast cancer patients in national health registries using machine learning
Lauritzen, Andreas, Berg, T., Jensen, M., Lillholm, Martin & Knoop, A., 2023, In: Acta Oncologica. 62, 4, p. 350–357Research output: Contribution to journal › Journal article › Research › peer-review
- Published
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 I., Björkqvist, M., Lauritzen, Martin & Kucharz, Krzysztof, 2023, In: Frontiers in Aging Neuroscience. 15, 18 p., 1089005.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
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, In: Journal of Medical Imaging. 10, 5, p. 1-16 054003.Research output: Contribution to journal › Journal article › Research › peer-review
- 2022
- Published
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, In: Radiology. 304, 1, p. 41-49Research output: Contribution to journal › Journal article › Research › peer-review
- 2021
- Published
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 others, , 2021, In: Scientific Reports. 11, 1, 12 p., 3246.Research output: Contribution to journal › Journal article › Research › peer-review
ID: 203829056
Most downloads
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265
downloads
Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
32
downloads
Preserved blood-brain barrier and neurovascular coupling in female 5xFAD model of Alzheimer's disease
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
26
downloads
An Artificial Intelligence–based Mammography Screening Protocol for Breast Cancer: Outcome and Radiologist Workload
Research output: Contribution to journal › Journal article › Research › peer-review
Published