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 | 81 | 2021 |
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 | 68 | 2022 |
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 | 54 | 2019 |
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 | 7 | 2023 |
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 | 6 | 2023 |
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 | 6 | 2019 |
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 | 2 | 2023 |
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 |