Radiology Diagnostics, Malmö
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- 2025
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Mark
Methodology to simulate temporal changes in breast tumors and parenchyma using Perlin noise
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Different ways of diagnosing selective glomerular hypofiltration syndromes such as shrunken pore syndrome and the associated increase in mortality
(
- Contribution to journal › Article
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Mark
Workload reduction of digital breast tomosynthesis screening using artificial intelligence and synthetic mammography : a simulation study
(
- Contribution to journal › Article
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Mark
Exploring the impact of image restoration in simulating higher dose mammography : effects on the detectability of microcalcifications across different sizes using model observer analysis
(
- Contribution to journal › Article
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Mark
Investigating the effect of adding comparisons with prior mammograms to standalone digital breast tomosynthesis screening
(
- Contribution to journal › Article
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Mark
Assessing mammographic density change within individuals across screening rounds using deep learning–based software
(
- Contribution to journal › Article
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Mark
Navigating the future of mammography: How women’s perceptions of AI may guide tomorrow’s screening practice
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- Contribution to journal › Debate/Note/Editorial
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Mark
Development and External Validation of a Combined Clinical–Radiomic Model for Predicting Insufficient Hypertrophy of the Future Liver Remnant following Portal Vein Embolization
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- Contribution to journal › Article
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Mark
ASO Author Reflections: Added Value of Pretreatment CT Radiomics for Accurate Prediction of Liver Hypertrophy Following Portal Vein Embolization
(
- Contribution to journal › Debate/Note/Editorial
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Mark
Enhancing the Prediction of Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Routine Full-Breast Mammograms
2025) In Breast Cancer Research(
- Working paper/Preprint › Preprint in preprint archive