RPS 805 - Artificial intelligence in neuroimaging

Impact of data quality variations caused by dose and image reconstruction on AI assessment of intracranial aneurysms

Improving diagnostic precision: a deep learning system for differentiating multiple sclerosis from small vessel disease using standard non-enhanced brain MRI scans

Previously proposed radiomics features for ruptured intracranial aneurysm classification: Overview, auto-segmentation, and external validation

Diagnostic Performance of Neural Network Algorithms in Skull Fractures Detection in CT Scans: A Systematic Review and Meta-Analysis

AI as a second reader in post-traumatic head CT at Oktoberfest 2024: A prospective performance monitoring study

Impact of Defacing Procedures on Brain Age Gap Estimation

Identification of depression subtypes in Parkinson's disease patients via structural MRI whole-brain radiomics: an unsupervised machine learning study

A Machine-Learning Model Based on US Radiomics to Classify Benign and Malignant Thyroid Nodules