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
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
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Cerebrospinal fluid reference proteins increase accuracy and interpretability of biomarkers for brain diseases
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- Contribution to journal › Article
- 2023
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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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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
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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
- 2022
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Machine learning algorithm for classification of breast ultrasound images
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- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2021
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Mark
Applications of Deep Learning in Medical Image Analysis : Grading of Prostate Cancer and Detection of Coronary Artery Disease
2021)(
- Thesis › Doctoral thesis (monograph)
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An Artificial Intelligence-based Support Tool for Automation and Standardisation of Gleason Grading in Prostate Biopsies
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- Contribution to journal › Article
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Mark
Detection of left bundle branch block and obstructive coronary artery disease from myocardial perfusion scintigraphy using deep neural networks
2021) Medical Imaging 2021: Computer-Aided Diagnosis In Progress in Biomedical Optics and Imaging - Proceedings of SPIE 11597.(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2020
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Mark
Prediction of obstructive coronary artery disease from myocardial perfusion scintigraphy using deep neural networks
2020) 25th International Conference on Pattern Recognition, ICPR 2020 In Proceedings - International Conference on Pattern Recognition p.4442-4449(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Domain-adversarial neural network for improved generalization performance of gleason grade classification
2020) Medical Imaging 2020: Digital Pathology In Progress in Biomedical Optics and Imaging - Proceedings of SPIE 11320.(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2019
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Mark
Automatic detection of small areas of Gleason grade 5 in prostate tissue using CNN
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- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Comparison of different augmentation techniques for improved generalization performance for gleason grading
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- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2018
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Generalization of prostate cancer classification for multiple sites using deep learning
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- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2017
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Automatic Gleason grading of H&E stained microscopic prostate images using deep convolutional neural networks
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- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Semantic segmentation of microscopic images of H&E stained prostatic tissue using CNN
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- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding