Bram Stieltjes

Artificial Intelligence in Musculoskeletal Imaging: Review of Current Literature, Challenges, and Trends

2019 · 69 Zit. · Seminars in Musculoskeletal Radiology

The Bright, Artificial Intelligence-Augmented Future of Neuroimaging Reading

2017 · 52 Zit. · Frontiers in Neurology

AI-based detection and classification of distal radius fractures using low-effort data labeling: evaluation of applicability and effect of training set size

2021 · 37 Zit. · European Radiology

Development and clinical implementation of tailored image analysis tools for COVID-19 in the midst of the pandemic: The synergetic effect of an open, clinically embedded software development platform and machine learning

2020 · 29 Zit. · European Journal of Radiology

Towards automated generation of curated datasets in radiology: Application of natural language processing to unstructured reports exemplified on CT for pulmonary embolism

2020 · 20 Zit. · European Journal of Radiology

Development and Evaluation of Deep Learning Models for Automated Estimation of Myelin Maturation Using Pediatric Brain MRI Scans

2023 · 14 Zit. · Radiology Artificial Intelligence

Comparison of 3D X-ray tomography with computed tomography in patients with distal extremity fractures

2020 · 11 Zit. · Skeletal Radiology

The interaction of structured data using openEHR and large Language models for clinical decision support in prostate cancer

2025 · 8 Zit. · World Journal of Urology

Natural Language Processing and Graph Theory: Making Sense of Imaging Records in a Novel Representation Frame

2022 · 4 Zit. · JMIR Medical Informatics

Ethical considerations for artificial intelligence implementation in radiology

2019 · 1 Zit.

Infusing clinical understanding in radiomic features

2018 · 0 Zit.

Initial Experience in Developing AI Algorithms in Medical Imaging Based on Annotations Derived From an E-Learning Platform

2021 · 0 Zit. · Preprints.org