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- 2023
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Mark
VAI-B : A multicenter platform for the external validation of artificial intelligence algorithms in breast imaging
- Contribution to journal › Article
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Mark
Noninvasive Staging of Lymph Node Status in Breast Cancer Using Machine Learning : External Validation and Further Model Development
- Contribution to journal › Article
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Mark
Breast cancer detection accuracy of AI in an entire screening population : a retrospective, multicentre study
- Contribution to journal › Article
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Mark
The Lucerne Toolbox 2 to optimise axillary management for early breast cancer : a multidisciplinary expert consensus
- Contribution to journal › Scientific review
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Mark
Investigating the prognostic value of mammographic breast density and mammographic tumor appearance in women with invasive breast cancer : The Malmö Diet and cancer study
- Contribution to journal › Article
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Mark
Mammographic density and interval cancers in mammographic screening : Moving towards more personalized screening
- Contribution to journal › Article
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Mark
Trace Elements and Breast Cancer: Selenium, Zinc and Copper in Relation to Risk and Prognosis
(2023) In Lund University, Faculty of Medicine Doctoral Dissertation Series
- Thesis › Doctoral thesis (compilation)
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Mark
Identifying actionable druggable targets for breast cancer : Mendelian randomization and population-based analyses
- Contribution to journal › Article
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Mark
Implementing and monitoring the right to health in breast cancer : selection of indicators using a Delphi process
- Contribution to journal › Article
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Mark
FGF/FGFR1 system in paired breast tumor-adjacent and tumor tissues, associations with mammographic breast density and tumor characteristics
- Contribution to journal › Article
