Computational Science for Health and Environment
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- 2025
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Mark
Causal, predictive or observational? Different understandings of key event relationships for adverse outcome pathways and their implications on practice
- 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
Advancing personalised care in atrial fibrillation and stroke : The potential impact of AI from prevention to rehabilitation
- Contribution to journal › Scientific review
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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
- Contribution to journal › Article
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Mark
Advancing non-invasive melanoma diagnostics with deep learning and multispectral photoacoustic imaging
- Contribution to journal › Article
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Mark
Time series anomaly detection in helpline call trends for early detection of COVID-19 spread across Sweden, 2020
- Contribution to journal › Article
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Mark
Immune Response in Triple-Negative Breast Cancer - Machine Learning-based Insights from Histology and -Omics
(2025) In Lund University, Faculty of Medicine Doctoral Dissertation Series
- Thesis › Doctoral thesis (compilation)
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Mark
Predicting adverse cardiac events at the emergency department : A deep learning approach
(2025) In Lund University, Faculty of Medicine Doctoral Dissertation Series
- Thesis › Doctoral thesis (compilation)
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Mark
Bayesian and frequentist analyses of two-state single-molecule diffusion trajectories
- Contribution to journal › Article
-
Mark
Folding lattice proteins confined on minimal grids using a quantum-inspired encoding
(2025) In Physical Review E: covering statistical, nonlinear, biological, and soft matter physics 112(4).
- Contribution to journal › Article
