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- 2025
-
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
- 2024
-
Mark
Identification of sentinel lymph node macrometastasis in breast cancer by deep learning based on clinicopathological characteristics
(
- Contribution to journal › Article
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Mark
Correspondence to comment on : Impact of type 2 diabetes on complications after primary breast cancer surgery: Danish population-based cohort study
(
- Contribution to journal › Letter
-
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
-
Mark
Retrospective validation study of an artificial neural network-based preoperative decision-support tool for noninvasive lymph node staging (NILS) in women with primary breast cancer (ISRCTN14341750)
(
- Contribution to journal › Article
-
Mark
Impact of type 2 diabetes on complications after primary breast cancer surgery : Danish population-based cohort study
(
- Contribution to journal › Article
- 2023
-
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
The implementation of NILS : A web-based artificial neural network decision support tool for noninvasive lymph node staging in breast cancer
(
- Contribution to journal › Article
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Mark
Risk factors for seroma formation after axillary lymph node dissection with special focus on the impact of early shoulder exercise
(
- Contribution to journal › Article
- 2022
-
Mark
Prediction of node negative breast cancer and high disease burden through image analysis software on mammographic images and clinicopathological data
(
- Contribution to journal › Published meeting abstract