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2025
Mark Deep learning on routine full-breast mammograms enhances lymph node metastasis prediction in early breast cancer
Zhang, Daqu ^LU ; Dihge, Looket ^LU ; Bendahl, Pär-Ola ^LU ; Arvidsson, Ida ^LU ; Dustler, Magnus ^LU ; Ellbrant, Julia ^LU ; Gulis, Kim ^LU ; Hjärtström, Malin ^LU ; Ohlsson, Mattias ^LU and Rejmer, Cornelia ^LU , et al. (2025) In npj Digital Medicine 8(1).
- Contribution to journal › Article
Mark Utilizing artificial intelligence and medical experts to identify predictors for common diagnoses in dyspneic adults: A cross-sectional study of consecutive emergency department patients from Southern Sweden
Tolestam Heyman, Ellen ^LU ; Ashfaq, Awais ; Ekelund, Ulf ^LU ; Ohlsson, Mattias ^LU ; Björk, Jonas ^LU ; Schubert, Alexander Marcel ; Lingman, Markus and Khoshnood, Ardavan M. ^LU (2025) In International Journal of Medical Informatics 202(October 2025).
- Contribution to journal › Article
Mark Bayesian and frequentist analyses of two-state single-molecule diffusion trajectories
Clarkson, Erik ^LU and Ambjörnsson, Tobias ^LU (2025) In Journal of Physics A: Mathematical and Theoretical 58(19).
- Contribution to journal › Article
Mark Causal, predictive or observational? Different understandings of key event relationships for adverse outcome pathways and their implications on practice
Zhou, Zheng ^LU ; Pennings, Jeroen and Sahlin, Ullrika ^LU (2025) In Environmental Toxicology and Pharmacology 113.
- Contribution to journal › Article
Mark Immune Response in Triple-Negative Breast Cancer - Machine Learning-based Insights from Histology and -Omics
Roostee, Suze Julia ^LU (2025) In Lund University, Faculty of Medicine Doctoral Dissertation Series
- Thesis › Doctoral thesis (compilation)
Mark Enhancing the Prediction of Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Routine Full-Breast Mammograms
Zhang, Daqu ^LU ; Dihge, Looket ^LU ; Bendahl, Pär-Ola ^LU ; Arvidsson, Ida ^LU ; Dustler, Magnus ^LU ; Ellbrant, Julia ^LU ; Gulis, Kim ^LU ; Hjärtström, Malin ^LU ; Ohlsson, Mattias ^LU and Rejmer, Cornelia ^LU , et al. (2025) In Breast Cancer Research
- Working paper/Preprint › Preprint in preprint archive
Mark Predicting adverse cardiac events at the emergency department : A deep learning approach
Nyström, Axel ^LU (2025) In Lund University, Faculty of Medicine Doctoral Dissertation Series
- Thesis › Doctoral thesis (compilation)
2024
Mark A suggestion for a test if a calibrated quantitative adverse outcome pathway is chemical agnostic based on between chemical heterogeneity : 38th International Workshop on Statistical Modelling
Sahlin, Ullrika ^LU and Zhou, Zheng ^LU (2024) 38th International Workshop on Statistical Modelling p.281-284
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark A novel interpretable deep learning model for diagnosis in emergency department dyspnoea patients based on complete data from an entire health care system
Heyman, Ellen T. ^LU ; Ashfaq, Awais ; Ekelund, Ulf ^LU ; Ohlsson, Mattias ^LU ; Björk, Jonas ^LU ; Khoshnood, Ardavan M. ^LU and Lingman, Markus (2024) In PLoS ONE 19(12).
- Contribution to journal › Article
Mark Identification of sentinel lymph node macrometastasis in breast cancer by deep learning based on clinicopathological characteristics
Zhang, Daqu ^LU ; Svensson, Miriam ^LU ; Edén, Patrik ^LU and Dihge, Looket ^LU (2024) In Scientific Reports 14.
- Contribution to journal › Article

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