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2025
Mark Bayesian optimization across the spectrum of knowledge : enhancing efficiency through beliefs, information and assumptions
Hvarfner, Carl ^LU (2025)
- Thesis › Doctoral thesis (compilation)
Mark Moving towards cognitive radio access networks : transforming MIMO complexities into opportunities
Pjanić, Dino ^LU (2025) In 1654-790X
- Thesis › Doctoral thesis (compilation)
Mark Copy number signatures in cervical samples enable early detection of high-grade serous ovarian carcinoma
Veerla, Srinivas ^LU ; Martin de la Fuente, Laura ^LU ; Li, Minerva ^LU ; Tang, Guyuan ; Ebbesson, Anna ^LU ; D'Incalci, Maurizio ; Marchini, Sergio ; Mannarino, Laura ; Måsbäck, Anna ^LU and Malander, Susanne ^LU , et al. (2025) SCRM 2025 - the 7th Swedish Cancer Research Meeting
- Contribution to conference › Poster
Mark Pixels and Weights : The Situated Work of Teaching Computers to See
Engdahl, Isak ^LU (2025) In Lund Dissertations in Sociology
- Thesis › Doctoral thesis (compilation)
Mark Development of machine learning-based analysis and processing tools applied to magnetization transfer MRI : Z-spectral denoising and fitting
Mohammed Ali, Sajad ^LU (2025)
- Thesis › Doctoral thesis (compilation)
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)
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)
2024
Mark Exploring Artificial Intelligence in Emergency Medicine for Predicting Disposition, Death, and Diagnosis
Tolestam Heyman, Ellen ^LU (2024) In Lund University, Faculty of Medicine Doctoral Dissertation Series
- Thesis › Doctoral thesis (compilation)
Mark The predictive value of MUSA features of adenomyosis on live birth is poor, using a machine learning algorithm
Alson, Sara ^LU ; Björnsson, Ola ^LU ; Hansson, Stefan ^LU ; Henic, Emir ^LU and Sladkevicius, Povilas ^LU (2024) ISUOG 34th World Congress on Ultrasound in Obstetrics and Gynecology - Budapest In Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology 64(S1). p.88-89
- Contribution to journal › Published meeting abstract
Mark Searches for New Physics Using Innovative Data Acquisition, Analysis, and Compression Techniques
Ekman, Alexander ^LU (2024)
- Thesis › Doctoral thesis (monograph)

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