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- 2023
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Mark
CITED1 as a marker of favourable outcome in anti-endocrine treated, estrogen-receptor positive, lymph-node negative breast cancer.
(
- Contribution to journal › Article
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Mark
A prospective cohort study identifying radiologic and tumor related factors of importance for breast conserving surgery after neoadjuvant chemotherapy
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- Contribution to journal › Article
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Mark
The implementation of NILS : A web-based artificial neural network decision support tool for noninvasive lymph node staging in breast cancer
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- Contribution to journal › Article
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Mark
Cholesterol metabolism in breast cancer: Prognostic factors and optimizing treatment
2023) In Lund University, Faculty of Medicine Doctoral Dissertation Series(
- Thesis › Doctoral thesis (compilation)
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Mark
Mammographic calcifications undergoing percutaneous biopsy : outcome in women with and without a personal history of breast cancer
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- Contribution to journal › Article
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Mark
Mammographic density and interval cancers in mammographic screening : Moving towards more personalized screening
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- Contribution to journal › Article
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Mark
Classification of point-of-care ultrasound in breast imaging using deep learning
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- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Obesity-associated changes in molecular biology of primary breast cancer
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- 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
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- Contribution to journal › Article
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Mark
Transcriptional intra-tumour heterogeneity predicted by deep learning in routine breast histopathology slides provides independent prognostic information
(
- Contribution to journal › Article