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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- 2026
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Mark
Dual energy CT and deep learning for an automated volumetric segmentation of the major intracranial tissues : Feasibility and initial findings
- Contribution to journal › Article
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Mark
Reference proteins to improve Core 1 and Core 2 Alzheimer’s disease CSF and plasma biomarkers
- Contribution to journal › Article
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Mark
Exploring artificial intelligence in point-of-care and standard breast ultrasound : a paired reader study
(2026) In Acta Radiologica
- Contribution to journal › Article
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Mark
Explainable Deep Learning for Myocardial Perfusion Imaging with a Grad-CAM-Based Loss Function
(2026) Medical Imaging 2026: Computer-Aided Diagnosis In Progress in Biomedical Optics and Imaging - Proceedings of SPIE 13926.
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2025
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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
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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
Outcome prediction of prostate cancer patients on active surveillance using weakly supervised deep learning
- 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
- Contribution to journal › Article
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Mark
Fine-Grained Classification of Unpigmented Skin Cancer from Paired Dermatoscopy Images
(2025) 23rd Scandinavian Conference on Image Analysis, SCIA 2025 In Lecture Notes in Computer Science 15726 LNCS. p.293-306
- 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
