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Andreas David Lauritzen
Andreas David Lauritzen
Verified email at di.ku.dk
Title
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Cited by
Year
Developing and validating COVID-19 adverse outcome risk prediction models from a bi-national European cohort of 5594 patients
E Jimenez-Solem, TS Petersen, C Hansen, C Hansen, C Lioma, C Igel, ...
Scientific reports 11 (1), 3246, 2021
812021
An artificial intelligence–based mammography screening protocol for breast cancer: outcome and radiologist workload
AD Lauritzen, A Rodríguez-Ruiz, MC von Euler-Chelpin, E Lynge, ...
Radiology 304 (1), 41-49, 2022
652022
Generalizable multi-site training and testing of deep neural networks using image normalization
JA Onofrey, DI Casetti-Dinescu, AD Lauritzen, S Sarkar, R Venkataraman, ...
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019
532019
Preserved blood-brain barrier and neurovascular coupling in female 5xFAD model of Alzheimer’s disease
O Zhukov, C He, R Soylu-Kucharz, C Cai, AD Lauritzen, BI Aldana, ...
Frontiers in Aging Neuroscience 15, 1089005, 2023
72023
Evaluation of CT image synthesis methods: From atlas-based registration to deep learning
AD Lauritzen, X Papademetris, S Turovets, JA Onofrey
arXiv preprint arXiv:1906.04467, 2019
62019
Assessing breast cancer risk by combining AI for lesion detection and mammographic texture
AD Lauritzen, MC von Euler-Chelpin, E Lynge, I Vejborg, M Nielsen, ...
Radiology 308 (2), e230227, 2023
52023
Identifying recurrent breast cancer patients in national health registries using machine learning
AD Lauritzen, T Berg, MB Jensen, M Lillholm, A Knoop
Acta Oncologica 62 (4), 350-357, 2023
22023
Robust cross-vendor mammographic texture models using augmentation-based domain adaptation for long-term breast cancer risk
AD Lauritzen, MC von Euler-Chelpin, E Lynge, I Vejborg, M Nielsen, ...
Journal of Medical Imaging 10 (5), 054003-054003, 2023
2023
Development and Clinical Evaluation of Deep Learning Models for Personalized Breast Cancer Screening
AD Lauritzen
2023
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