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- 2024
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Mark
Deep learning analysis of serial digital breast tomosynthesis images in a prospective cohort of breast cancer patients who received neoadjuvant chemotherapy
(
- Contribution to journal › Article
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Mark
Preoperative prediction of nodal status using clinical data and artificial intelligence derived mammogram features enabling abstention of sentinel lymph node biopsy in breast cancer
(
- Contribution to journal › Article
- 2023
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Mark
Malmö Breast ImaginG database: objectives and development
(
- Contribution to journal › Article
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Mark
Impact of breast density on diagnostic accuracy in digital breast tomosynthesis versus digital mammography : results from a European screening trial
(
- Contribution to journal › Article
- 2022
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Mark
Analysis of mammograms using artificial intelligence to predict response to neoadjuvant chemotherapy in breast cancer patients : proof of concept
(
- Contribution to journal › Article
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Mark
Simulation of volumetric breast densities for virtual clinical trials
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Tumor growth rate estimations in a breast cancer screening population
2022) 16th International Workshop on Breast Imaging, IWBI 2022 In Proceedings of SPIE - The International Society for Optical Engineering 12286.(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Development and evaluation of a method for tumor growth simulation in virtual clinical trials of breast cancer screening
(
- Contribution to journal › Article
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Mark
The association between body mass index and pathological complete response in neoadjuvant-treated breast cancer patients
(
- Contribution to journal › Article
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Mark
Prediction of node negative breast cancer and high disease burden through image analysis software on mammographic images and clinicopathological data
2022)(
- Contribution to conference › Abstract