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2025
Mark An adaptive finite difference method for total variation minimization
Jacumin, Thomas ^LU and Langer, Andreas ^LU (2025) In Numerical Algorithms
- Contribution to journal › Article
Mark Fingerprint Synthesis from Diffusion Models and Generative Adversarial Networks
Tang, Weizhong ^LU ; Llamosas, Diego Andre Figueroa ; Liu, Donglin ^LU ; Johnsson, Kerstin ^LU and Sopasakis, Alexandros ^LU (2025) Future of Information and Communication Conference, FICC 2025 In Lecture Notes in Networks and Systems 1283 LNNS. p.289-312
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark Breast cancer classification in point-of-care ultrasound imaging—the impact of training data
Karlsson, Jennie ^LU ; Arvidsson, Ida ^LU ; Sahlin, Freja ; Åström, Kalle ^LU ; Overgaard, Niels Christian ^LU ; Lång, Kristina ^LU and Heyden, Anders ^LU (2025) In Journal of Medical Imaging 12(1). p.1-16
- Contribution to journal › Article
Mark Articles on Random Normal Matrix Theory
Cronvall, Joakim ^LU (2025)
- Thesis › Doctoral thesis (compilation)
Mark The PLATO mission
Rauer, Heike ; Dansac, Leo Michel ; Bitsch, Bertram ^LU ; Church, Ross ^LU ; Davies, Melvyn ^LU ; Feltzing, Sofia ^LU ; Ford, Dominic ^LU ; Herbst, Konstantin ^LU ; Hobbs, David ^LU and Johansen, Anders ^LU , et al. (2025) In Experimental Astronomy 59(3).
- Contribution to journal › Article
Mark Convergence properties of iteratively coupled surface-subsurface models
Schüller, Valentina ^LU ; Birken, Philipp ^LU and Dedner, Andreas (2025) In GEM - International Journal on Geomathematics 16(1).
- Contribution to journal › Article
Mark Quantifying Coupling Errors in Atmosphere-Ocean-Sea Ice Models : A Study of Iterative and Non-Iterative Approaches in the EC-Earth AOSCM
Schüller, Valentina ^LU ; Lemarié, Florian ; Birken, Philipp ^LU and Blayo, Eric (2025)
- Working paper/Preprint › Preprint in preprint archive
Mark Fatigue prediction for random loads : Using the rainflow method
Rychlik, Igor ^LU ; Gupta, Sayan and Lindgren, Georg ^LU (2025)
- Book/Report › Book
Mark Leveraging axis-aligned subspaces for high-dimensional Bayesian optimization with group testing
Hellsten, Erik ^LU ; Hvarfner, Carl ^LU ; Papenmeier, Leonard ^LU and Nardi, Luigi ^LU (2025)
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark Machine learning prediction of tau-PET in Alzheimer's disease using plasma, MRI, and clinical data
Karlsson, Linda ^LU ; Vogel, Jacob ^LU ; Arvidsson, Ida ^LU ; Åström, Kalle ^LU ; Strandberg, Olof ^LU ; Seidlitz, Jakob ; Bethlehem, Richard A.I. ; Stomrud, Erik ^LU ; Ossenkoppele, Rik ^LU and Ashton, Nicholas J. , et al. (2025) In Alzheimer's and Dementia 21(2).
- Contribution to journal › Article

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