Andreas D. Lauritzen

456 total citations
8 papers, 209 citations indexed

About

Andreas D. Lauritzen is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Andreas D. Lauritzen has authored 8 papers receiving a total of 209 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 6 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Oncology. Recurrent topics in Andreas D. Lauritzen's work include AI in cancer detection (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Global Cancer Incidence and Screening (4 papers). Andreas D. Lauritzen is often cited by papers focused on AI in cancer detection (6 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Global Cancer Incidence and Screening (4 papers). Andreas D. Lauritzen collaborates with scholars based in Denmark, Netherlands and Sweden. Andreas D. Lauritzen's co-authors include Mads Nielsen, Martin Lillholm, Elsebeth Lynge, Nico Karssemeijer, My von Euler‐Chelpin, Alejandro Rodríguez‐Ruiz, Ilse Vejborg, Ilse Vejborg, Rajesh Venkataraman and Xenophon Papademetris and has published in prestigious journals such as Radiology, Frontiers in Aging Neuroscience and Acta Oncologica.

In The Last Decade

Andreas D. Lauritzen

8 papers receiving 206 citations

Peers

Countries citing papers authored by Andreas D. Lauritzen

Since Specialization

Citations

This map shows the geographic impact of Andreas D. Lauritzen's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Andreas D. Lauritzen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas D. Lauritzen more than expected).

Fields of papers citing papers by Andreas D. Lauritzen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andreas D. Lauritzen. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Andreas D. Lauritzen. The network helps show where Andreas D. Lauritzen may publish in the future.

Co-authorship network of co-authors of Andreas D. Lauritzen

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas D. Lauritzen. A scholar is included among the top collaborators of Andreas D. Lauritzen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Andreas D. Lauritzen. Andreas D. Lauritzen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

#	Work	Indexed citations
1	Clinical Significance of Combined Density and Deep-Learning-Based Texture Analysis for Stratifying the Risk of Short-Term and Long-Term Breast Cancer in Screening 2024 ·Diagnostics ·(unknown), George Napolitano, Andreas D. Lauritzen, Elsebeth Lynge, Martin Lillholm, Michael Bachmann Nielsen, Ilse Vejborg	1
2	Early Indicators of the Impact of Using AI in Mammography Screening for Breast Cancer 2024 ·Radiology ·Andreas D. Lauritzen, Martin Lillholm, Elsebeth Lynge, Mads Nielsen, Nico Karssemeijer, Ilse Vejborg	32
3	Preserved blood-brain barrier and neurovascular coupling in female 5xFAD model of Alzheimer’s disease 2023 ·Frontiers in Aging Neuroscience ·(unknown), Chen He, Rana Soylu-Kucharz, Changsi Cai, Andreas D. Lauritzen, Blanca I. Aldana, Maria Björkqvist, Martin Lauritzen, Krzysztof Kucharz	15
4	Assessing Breast Cancer Risk by Combining AI for Lesion Detection and Mammographic Texture 2023 ·Radiology ·Andreas D. Lauritzen, My von Euler‐Chelpin, Elsebeth Lynge, Ilse Vejborg, Mads Nielsen, Nico Karssemeijer, Martin Lillholm	16
5	Robust cross-vendor mammographic texture models using augmentation-based domain adaptation for long-term breast cancer risk 2023 ·Journal of Medical Imaging ·Andreas D. Lauritzen, My von Euler‐Chelpin, Elsebeth Lynge, Ilse Vejborg, Mads Nielsen, Nico Karssemeijer, Martin Lillholm	2
6	Identifying recurrent breast cancer patients in national health registries using machine learning 2023 ·Acta Oncologica ·Andreas D. Lauritzen, Tobias Berg, Maj‐Britt Jensen, Martin Lillholm, Ann Knoop	3
7	An Artificial Intelligence–based Mammography Screening Protocol for Breast Cancer: Outcome and Radiologist Workload 2022 ·Radiology ·Andreas D. Lauritzen, Alejandro Rodríguez‐Ruiz, My von Euler‐Chelpin, Elsebeth Lynge, Ilse Vejborg, Mads Nielsen, Nico Karssemeijer, Martin Lillholm	102
8	Generalizable Multi-Site Training and Testing Of Deep Neural Networks Using Image Normalization 2019 ·PubMed ·John A. Onofrey, Dana I. Casetti‐Dinescu, Andreas D. Lauritzen, (unknown), Rajesh Venkataraman, Richard E. Fan, Geoffrey A. Sonn, Preston Sprenkle, Lawrence H. Staib, Xenophon Papademetris	38

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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