N. Hendrix

Musculoskeletal radiologist-level performance by using deep learning for detection of scaphoid fractures on conventional multi-view radiographs of hand and wrist

B. van Ginneken, W. Hendrix, Matthieu Rutten, 2022, European Radiology.

Automated Assessment of CO-RADS and Chest CT Severity Scores in Patients with Suspected COVID-19 Using Artificial Intelligence

Nikolas Lessmann, Luuk H Boulogne, Bram van Ginneken, 2020, Radiology.

Trends in the incidence of pulmonary nodules in chest computed tomography: 10-year results from two Dutch hospitals.

B. van Ginneken, M. Prokop, C. Schaefer-Prokop, 2023, European radiology.

Development and Validation of a Convolutional Neural Network for Automated Detection of Scaphoid Fractures on Conventional Radiographs.

Bram van Ginneken, Steven Schalekamp, Eric Postma, 2021, Radiology. Artificial intelligence.

Deep learning for the detection of benign and malignant pulmonary nodules in non-screening chest CT scans

B. van Ginneken, E. Scholten, C. Jacobs, 2023, Communications medicine.

Automated Assessment of CO-RADS and Chest CT Severity Scores in Patients with Suspected COVID-19 Using Artificial Intelligence

P. K. Gerke, L. Beenen, H. Huisman, 2020, Radiology.

Nodule detection and generation on chest X-rays: NODE21 Challenge

K. Murphy, B. Ginneken, E. Scholten, 2024, IEEE transactions on medical imaging.