Radiology Diagnostics, Malmö
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- 2025
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Mark
Breast cancer recurrence in relation to mode of detection : implications on personalized surveillance
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- Contribution to journal › Article
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Diabetic status and the performances of creatinine- and cystatin C–based eGFR equations
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- Contribution to journal › Article
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Mark
Simulating mismatch between calibration and target population in AI for mammography the retrospective VAIB study
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- Contribution to journal › Article
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Mark
Deep learning on routine full-breast mammograms enhances lymph node metastasis prediction in early breast cancer
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- Contribution to journal › Article
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Mark
Towards Out-of-Distribution Detection for Breast Cancer Classification in Point-of-Care Ultrasound Imaging
2025) 27th International Conference on Pattern Recognition, ICPR 2024 In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 15313 LNCS. p.49-63(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Semi-standardized evaluation of extraprostatic extension and seminal vesicle invasion with [18F]PSMA-1007 PET/CT : a comparison to MRI using histopathology as reference
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- Contribution to journal › Article
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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
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Mark
Trustworthiness for Deep Learning Based Breast Cancer Detection Using Point-of-Care Ultrasound Imaging in Low-Resource Settings
2025) 1st MICCAI Meets Africa Workshop, MImA 2024 and 1st MICCAI Student Board Workshop on Empowering Medical Information Computing and Research through Early-Career Expertise, EMERGE 2024, Held in Conjunction with MICCAI 2024 In Communications in Computer and Information Science 2240. p.42-51(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Breast cancer classification in point-of-care ultrasound imaging—the impact of training data
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- Contribution to journal › Article
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Mark
Screening performance and characteristics of breast cancer detected in the Mammography Screening with Artificial Intelligence trial (MASAI) : a randomised, controlled, parallel-group, non-inferiority, single-blinded, screening accuracy study
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- Contribution to journal › Article