Computer Vision and Machine Learning

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2025
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
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 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 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 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)
Mark NeuroNCAP : Photorealistic Closed-Loop Safety Testing for Autonomous Driving
Ljungbergh, William ; Tonderski, Adam ^LU ; Johnander, Joakim ; Caesar, Holger ; Åström, Kalle ^LU ; Felsberg, Michael and Petersson, Christoffer (2025) 18th European Conference on Computer Vision, ECCV 2024 In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 15088 LNCS. p.161-177
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding

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