Ida Arvidsson
- Mathematics (Faculty of Engineering)
- eSSENCE: The e-Science Collaboration
- ELLIIT: the Linköping-Lund initiative on IT and mobile communication
- Department of Automatic Control
- LTH Profile Area: AI and Digitalization
- LU Profile Area: Proactive Ageing
- Computer Vision and Machine Learning
- LU Profile Area: Natural and Artificial Cognition
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- 2024
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Mark
Cerebrospinal fluid reference proteins increase accuracy and interpretability of biomarkers for brain diseases
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- Contribution to journal › Article
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Mark
Comparing a pre-defined versus deep learning approach for extracting brain atrophy patterns to predict cognitive decline due to Alzheimer’s disease in patients with mild cognitive symptoms
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- Contribution to journal › Article
- 2023
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Mark
Deep learning prediction of quantitative coronary angiography values using myocardial perfusion images with a CZT camera
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- Contribution to journal › Article
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Mark
Classification of point-of-care ultrasound in breast imaging using deep learning
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- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Systematic Augmentation in HSV Space for Semantic Segmentation of Prostate Biopsies
2023) 22nd Scandinavian Conference on Image Analysis, SCIA 2023 In Lecture Notes in Computer Science 13886. p.293-308(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding