Karl Åström
- Centre for Mathematical Sciences
- Mathematical Imaging Group
- LU Profile Area: Natural and Artificial Cognition
- LTH Profile Area: AI and Digitalization
- ELLIIT: the Linköping-Lund initiative on IT and mobile communication
- eSSENCE: The e-Science Collaboration
- Stroke Imaging Research group
- LTH Profile Area: Engineering Health
- LU Profile Area: Proactive Ageing
- LU Profile Area: Light and Materials
- LU Profile Area: Nature-based future solutions
- Mathematics (Faculty of Engineering)
- Computer Vision and Machine Learning
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- 2025
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Mark
Breast cancer classification in point-of-care ultrasound imaging—the impact of training data
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- Contribution to journal › Article
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Mark
Single-Source Localization as an Eigenvalue Problem
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- Contribution to journal › Article
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Mark
SONNET : Enhancing Time Delay Estimation by Leveraging Simulated Audio
2025) 27th International Conference on Pattern Recognition, ICPR 2024 In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 15320 LNCS. p.289-303(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
NeuroNCAP : Photorealistic Closed-Loop Safety Testing for Autonomous Driving
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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Mark
Machine learning prediction of tau-PET in Alzheimer's disease using plasma, MRI, and clinical data
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- Contribution to journal › Article
- 2024
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Mark
Geometry-Biased Transformer for Robust Multi-View 3D Human Pose Reconstruction
2024) 18th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2024(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Artificial intelligence for detection of prostate cancer in biopsies during active surveillance
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- Contribution to journal › Article
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Mark
Cerebrospinal fluid reference proteins increase accuracy and interpretability of biomarkers for brain diseases
(
- Contribution to journal › Article
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Mark
THE LU SYSTEM FOR DCASE 2024 SOUND EVENT LOCALIZATION AND DETECTION CHALLENGE
2024)(
- Book/Report › Report
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Mark
LidarCLIP or : How i Learned to Talk to Point Clouds
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- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding