Fredrik Strand

3.3k total citations · 1 hit paper
54 papers, 1.5k citations indexed

About

Fredrik Strand is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Fredrik Strand has authored 54 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 25 papers in Radiology, Nuclear Medicine and Imaging and 24 papers in Oncology. Recurrent topics in Fredrik Strand's work include AI in cancer detection (34 papers), Radiomics and Machine Learning in Medical Imaging (22 papers) and Global Cancer Incidence and Screening (22 papers). Fredrik Strand is often cited by papers focused on AI in cancer detection (34 papers), Radiomics and Machine Learning in Medical Imaging (22 papers) and Global Cancer Incidence and Screening (22 papers). Fredrik Strand collaborates with scholars based in Sweden, United States and United Kingdom. Fredrik Strand's co-authors include Karin Dembrower, Martin Eklund, Kevin Smith, Peter Lindholm, Torkel Klingberg, Yue Liu, Erik Wåhlin, Alessio Crippa, Eugenia Colón and Lisa B. Thorell and has published in prestigious journals such as Nature Medicine, Radiology and Brain Research.

In The Last Decade

Fredrik Strand

49 papers receiving 1.5k citations

Hit Papers

Standalone AI for Breast Cancer Detection at Screening Di... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fredrik Strand Sweden 16 953 843 386 350 295 54 1.5k
Fan Lin China 19 188 0.2× 740 0.9× 52 0.1× 129 0.4× 295 1.0× 80 1.2k
Mengtian Tu China 8 288 0.3× 465 0.6× 127 0.3× 657 1.9× 373 1.3× 11 992
Osamu Iizuka Japan 15 347 0.4× 398 0.5× 27 0.1× 164 0.5× 107 0.4× 40 1.1k
Meihao Wang China 15 296 0.3× 570 0.7× 39 0.1× 76 0.2× 162 0.5× 51 868
Alexander Poellinger Germany 19 136 0.1× 390 0.5× 91 0.2× 56 0.2× 320 1.1× 60 1.3k
Marietta Scott United Kingdom 23 155 0.2× 413 0.5× 24 0.1× 605 1.7× 420 1.4× 55 1.4k
María de la Iglesia-Vayá Spain 13 244 0.3× 393 0.5× 83 0.2× 24 0.1× 93 0.3× 47 867
Emily B. Ambinder United States 12 254 0.3× 371 0.4× 182 0.5× 151 0.4× 127 0.4× 67 825
Hye Jung Kim South Korea 23 210 0.2× 680 0.8× 48 0.1× 284 0.8× 232 0.8× 111 1.5k
Peter Savadjiev United States 18 90 0.1× 989 1.2× 73 0.2× 51 0.1× 143 0.5× 50 1.3k

Countries citing papers authored by Fredrik Strand

Since Specialization
Citations

This map shows the geographic impact of Fredrik Strand'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 Fredrik Strand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fredrik Strand more than expected).

Fields of papers citing papers by Fredrik Strand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fredrik Strand. 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 Fredrik Strand. The network helps show where Fredrik Strand may publish in the future.

Co-authorship network of co-authors of Fredrik Strand

This figure shows the co-authorship network connecting the top 25 collaborators of Fredrik Strand. A scholar is included among the top collaborators of Fredrik Strand 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 Fredrik Strand. Fredrik Strand is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Nguyen, Tuong L., et al.. (2026). AI-based BRAIx risk score for the intermediate-term prediction of breast cancer: a population cohort study. The Lancet Digital Health. 100987–100987.
3.
Fredriksson, Irma, et al.. (2025). Patient experience and healthcare cost aspects of vacuum-assisted excision of breast lesions. A report from the Swedish VAE randomized clinical trial. European Journal of Radiology. 186. 112062–112062. 1 indexed citations
4.
Strand, Fredrik. (2025). AI image analysis as the basis for risk-stratified screening. Japanese Journal of Radiology. 43(6). 927–933.
5.
Strand, Fredrik, et al.. (2025). Artificial intelligence-enhanced handheld breast ultrasound for screening: A systematic review of diagnostic test accuracy. PLOS Digital Health. 4(9). e0001019–e0001019.
6.
Dembrower, Karin, et al.. (2024). Use of an AI Score Combining Cancer Signs, Masking, and Risk to Select Patients for Supplemental Breast Cancer Screening. Radiology. 311(1). e232535–e232535. 10 indexed citations
7.
Liu, Yue, Theodoros Foukakis, Irma Fredriksson, et al.. (2024). AI-based selection of individuals for supplemental MRI in population-based breast cancer screening: the randomized ScreenTrustMRI trial. Nature Medicine. 30(9). 2623–2630. 28 indexed citations
8.
Dembrower, Karin, Alessio Crippa, Eugenia Colón, Martin Eklund, & Fredrik Strand. (2023). Artificial intelligence for breast cancer detection in screening mammography in Sweden: a prospective, population-based, paired-reader, non-inferiority study. The Lancet Digital Health. 5(10). e703–e711. 154 indexed citations
9.
Yoon, Jung Hyun, Fredrik Strand, Pascal Baltzer, et al.. (2023). Standalone AI for Breast Cancer Detection at Screening Digital Mammography and Digital Breast Tomosynthesis: A Systematic Review and Meta-Analysis. Radiology. 307(5). e222639–e222639. 85 indexed citations breakdown →
11.
Kushibar, Kaisar, Richard Osuala, Oliver Díaz, et al.. (2023). High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection. Frontiers in Oncology. 12. 1044496–1044496. 16 indexed citations
12.
Schurz, Haiko, Mathias Engström, Claes Lundström, et al.. (2023). VAI-B: a multicenter platform for the external validation of artificial intelligence algorithms in breast imaging. Journal of Medical Imaging. 10(6). 61404–61404. 7 indexed citations
13.
Yala, Adam, Peter G. Mikhael, Constance D. Lehman, et al.. (2022). Optimizing risk-based breast cancer screening policies with reinforcement learning. Nature Medicine. 28(1). 136–143. 57 indexed citations
14.
Yala, Adam, Peter G. Mikhael, Fredrik Strand, et al.. (2021). Toward robust mammography-based models for breast cancer risk. Science Translational Medicine. 13(578). 135 indexed citations
15.
Kistner, Anna, Ann Svensson, Mats O. Beckman, et al.. (2021). Negative effects of iodine-based contrast agent on renal function in patients with moderate reduced renal function hospitalized for COVID-19. BMC Nephrology. 22(1). 297–297. 8 indexed citations
16.
Kistner, Anna, Ann Svensson, Mats O. Beckman, et al.. (2021). Correction to: Negative effects of iodine-based contrast agent on renal function in patients with moderate reduced renal function hospitalized for COVID-19. BMC Nephrology. 22(1). 326–326. 5 indexed citations
17.
Strand, Fredrik, Bhavika Patel, & Bibb Allen. (2021). A Call for Controlled Validation Data Sets: Promoting the Safe Introduction of Artificial Intelligence in Breast Imaging. Journal of the American College of Radiology. 18(11). 1564–1565. 2 indexed citations
18.
Eriksson, Mikael, Kamila Czene, Fredrik Strand, et al.. (2020). Identification of Women at High Risk of Breast Cancer Who Need Supplemental Screening. Radiology. 297(2). 327–333. 44 indexed citations
19.
Strand, Fredrik, Keith Humphreys, Johanna Holm, et al.. (2018). Long-term prognostic implications of risk factors associated with tumor size: a case study of women regularly attending screening. Breast Cancer Research. 20(1). 31–31. 10 indexed citations
20.
Strand, Fredrik, Hans Forssberg, Torkel Klingberg, & Fritjof Norrelgen. (2008). Phonological working memory with auditory presentation of pseudo-words — An event related fMRI Study. Brain Research. 1212. 48–54. 62 indexed citations

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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