Simon Lysdahlgaard

Convolutional neural network performance compared to radiologists in detecting intracranial hemorrhage from brain computed tomography: A systematic review and meta-analysis

2021 · 34 Zit. · European Journal of Radiology

Utilizing heat maps as explainable artificial intelligence for detecting abnormalities on wrist and elbow radiographs

2023 · 19 Zit. · Radiography

Deep learning performance compared to healthcare experts in detecting wrist fractures from radiographs: A systematic review and meta-analysis

2024 · 16 Zit. · European Journal of Radiology

A Nordic survey on artificial intelligence in the radiography profession – Is the profession ready for a culture change?

2024 · 16 Zit. · Radiography

Nordic radiographers’ and students’ perspectives on artificial intelligence – A cross-sectional online survey

2024 · 16 Zit. · Radiography

Detection of metallic objects on digital radiographs with convolutional neural networks: A MRI screening tool

2022 · 6 Zit. · Radiography

Kunstig intelligens – Status fra ECR 2019

2019 · 0 Zit. · University of Southern Denmark Research Portal (University of Southern Denmark)

Validation of deep learning algorithms for quality assessment of lateral knee x-ray examinations

2021 · 0 Zit. · University of Southern Denmark Research Portal (University of Southern Denmark)