Computer Vision and Machine Learning

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2025
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 Outcome prediction of prostate cancer patients on active surveillance using weakly supervised deep learning
Winzell, Filip ^LU ; Arvidsson, Ida ^LU ; Åström, Kalle ^LU ; Overgaard, Niels Christian ^LU ; Marginean, Felicia-Elena ^LU ; Simoulis, Athanasios ^LU ; Bjartell, Anders ^LU ; Krzyzanowska, Agnieszka ^LU and Heyden, Anders ^LU (2025) SPIE Medical Imaging 2025 13413.
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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 Enhancing sparse identification of nonlinear dynamics with Earth-Mover distance and group similarity
Liu, Donglin ^LU and Sopasakis, Alexandros ^LU (2025) In Chaos (Woodbury, N.Y.) 35(3).
- Contribution to journal › Article
Mark Trustworthiness for Deep Learning Based Breast Cancer Detection Using Point-of-Care Ultrasound Imaging in Low-Resource Settings
Wodrich, Marisa ^LU ; Karlsson, Jennie ^LU ; Lång, Kristina ^LU and Arvidsson, Ida ^LU (2025) 1st MICCAI Meets Africa Workshop, MImA 2024 and 1st MICCAI Student Board Workshop on Empowering Medical Information Computing and Research through Early-Career Expertise, EMERGE 2024, Held in Conjunction with MICCAI 2024 In Communications in Computer and Information Science 2240. p.42-51
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
Mark Efficient Two-view Estimation using Richer Geometric Correspondences
Astermark, Jonathan ^LU (2025) In Licensiate Theses in Mathematical Sciences 2025(1).
- Thesis › Licentiate thesis
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
Mark Predicting intra-field yield variations for winter wheat using remote sensing and Graph Attention Networks
Åström, Oskar ^LU ; Månsson, Simon ; Lazar, Isac ; Nilsson, Magnus ; Ekelöf, Joakim ; Oxenstierna, Andreas and Sopasakis, Alexandros ^LU (2025) In Computers and Electronics in Agriculture 237.
- Contribution to journal › Article
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 Towards Zero Bottlenecks for Scaling Autonomous Driving
Tonderski, Adam ^LU (2025) In Doctoral Theses in Mathematical Sciences 2025(1).
- Thesis › Doctoral thesis (compilation)

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