Ida Arvidsson

Computer Science · Physical Sciences

16h-index1.1kcitations53works0.92yr avg
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Research Topics

AI in cancer detection(19), Radiomics and Machine Learning in Medical Imaging(13), Escherichia coli research studies(11), Complement system in diseases(7), Viral gastroenteritis research and epidemiology(6)

Publications53 total

Cellular signaling pathway of Shiga toxin-induced ATP release
Frontiers in Cellular and Infection Microbiology·2026Open Access
Explainable deep learning for myocardial perfusion imaging with a Grad‑CAM‑based loss function
2026
Dual energy CT and deep learning for an automated volumetric segmentation of the major intracranial tissues: Feasibility and initial findings
Medical Physics·2025Open Access
Longitudinal outcome prediction of prostate cancer patients on active surveillance using multiple instance learning
Journal of Medical Imaging·2025Open Access
Reference proteins to improve Core 1 and Core 2 Alzheimer’s disease CSF and plasma biomarkers
Brain·2025Open Access
Deep learning on routine full-breast mammograms enhances lymph node metastasis prediction in early breast cancer
npj Digital Medicine·2025· 4 citedOpen Access
Abstract P2-09-11: Improved Prediction of Axillary Lymph Node Metastasis in Early-Stage Breast Cancer Using Deep Learning on Routine Mammography
Clinical Cancer Research·2025
Outcome prediction of prostate cancer patients on active surveillance using weakly supervised deep learning
2025
Bradykinin B1 receptor signaling triggers complement activation on endothelial cells
Frontiers in Immunology·2025· 1 citedOpen Access
Breast cancer classification in point-of-care ultrasound imaging—the impact of training data
Journal of Medical Imaging·2025· 1 citedOpen Access
Enhancing the Prediction of Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Routine Full-Breast Mammograms
2025Open Access
Trustworthiness for Deep Learning Based Breast Cancer Detection Using Point-of-Care Ultrasound Imaging in Low-Resource Settings
Communications in computer and information science·2025
Improved precision of Alzheimer’s disease fluid biomarkers when using Amyloid‐β<sub>40</sub> or non‐phosphorylated tau as a reference
Alzheimer s & Dementia·2024Open Access
Towards Out-of-Distribution Detection for Breast Cancer Classification in Point-of-Care Ultrasound Imaging
Lecture notes in computer science·2024· 1 cited
Unlocking Tau PET Accessibility: a Machine Learning‐Based Prediction of Tau Pathology from Plasma, MRI and Clinical Variables
Alzheimer s & Dementia·2024Open Access
Artificial intelligence for detection of prostate cancer in biopsies during active surveillance
British Journal of Urology·2024· 5 citedOpen Access
Towards Out-of-Distribution Detection for breast cancer classification in Point-of-Care Ultrasound Imaging
arXiv (Cornell University)·2024Open Access
Red blood cell-derived arginase release in hemolytic uremic syndrome
Journal of Translational Medicine·2024· 4 citedOpen Access
Adjusting for CSF Reference Proteins Improves Biomarker Accuracy
Alzheimer s & Dementia·2023Open Access
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
Research Square (Research Square)·2023· 1 citedOpen Access
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Frequent Co-authors

Kalle Åström(19), Anders Heyden(18), Diana Karpman(17), Niels Christian Overgaard(17), Ann‐Charlotte Kristoffersson(10), Sebastian Loos(7), Anders Bjartell(7), Agnieszka Krzyzanowska(7), Ashmita Tontanahal(6), Jennie Karlsson(6), Kristina Lång(6), Karl Johansson(5), Milan Chromek(5), Athanasios Simoulis(5), Sebastian Palmqvist(5), Erik Stomrud(5), Oskar Hansson(5), Niklas Mattsson(5), Johan Rebetz(4), Felicia-Elena Marginean(4)