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Journal of Medical Imaging and Radiation Sciences|September 10, 2024
Artificial intelligence and advanced MRI techniques: A comprehensive analysis of diffuse gliomasS Lysdahlgaard, M D JørgensenRadiography (London, England : 1995)|April 16, 2022
Comparing Radiomics features of tumour and healthy liver tissue in a limited CT dataset: A machine learning studyS LysdahlgaardRadiography (London, England : 1995)|October 8, 2023
Utilizing heat maps as explainable artificial intelligence for detecting abnormalities on wrist and elbow radiographsS LysdahlgaardRadiography (London, England : 1995)|June 28, 2024
Radiomics evaluation for the early detection of Alzheimer's dementia using T1-weighted MRIJ A Jytzler, S LysdahlgaardRadiography (London, England : 1995)|January 19, 2022
Detection of metallic objects on digital radiographs with convolutional neural networks: A MRI screening toolS O Lie, S LysdahlgaardRadiography (London, England : 1995)|October 24, 2022
The effect of Gaussian noise on pneumonia detection on chest radiographs, using convolutional neural networksM W Kusk, S LysdahlgaardRadiography (London, England : 1995)|June 3, 2026
Quality assessment of radiographs through AI-driven feedback: A randomized comparative study on radiographer response in lateral knee radiographsS Lysdahlgaard, J Jensen, M R V Pedersen, et al.European Journal of Radiology|March 1, 2024
Deep learning performance compared to healthcare experts in detecting wrist fractures from radiographs: A systematic review and meta-analysisV Hansen, J Jensen, M W Kusk, et al.Radiography (London, England : 1995)|May 4, 2023
Collimation border with U-Net segmentation on chest radiographs compared to radiologistsA E Pedersen, M W Kusk, G H Knudsen, et al.Radiography (London, England : 1995)|May 23, 2024
A Nordic survey on artificial intelligence in the radiography profession - Is the profession ready for a culture change?M R V Pedersen, M W Kusk, S Lysdahlgaard, et al.Pageof 2