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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- 2025
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Mark
Towards Out-of-Distribution Detection for Breast Cancer Classification in Point-of-Care Ultrasound Imaging
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) 15313 LNCS. p.49-63(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Enhancing the Prediction of Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Routine Full-Breast Mammograms
2025) In Breast Cancer Research(
- Working paper/Preprint › Preprint in preprint archive
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Mark
Breast cancer classification in point-of-care ultrasound imaging—the impact of training data
(
- Contribution to journal › Article
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Mark
Trustworthiness for Deep Learning Based Breast Cancer Detection Using Point-of-Care Ultrasound Imaging in Low-Resource Settings
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
- 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
Artificial intelligence for detection of prostate cancer in biopsies during active surveillance
(
- 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
-
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
(
- 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