Steven Schalekamp

Cardiomegaly Detection on Chest Radiographs: Segmentation Versus Classification

Ecem Sogancioglu, Keelin Murphy, Erdi Calli, 2020, IEEE Access.

Computer aided detection of tuberculosis on chest radiographs: An evaluation of the CAD4TB v6 system

Rick H. H. M. Philipsen, Bram van Ginneken, Aamir Khan, 2020, Scientific Reports.

Influence of study design in receiver operating characteristics studies: sequential versus independent reading

Nico Karssemeijer, Bram van Ginneken, Steven Schalekamp, 2014, Journal of medical imaging.

Improved texture analysis for automatic detection of tuberculosis (TB) on chest radiographs with bone suppression images

Bram van Ginneken, Pragnya Maduskar, Laurens Hogeweg, 2013, Medical Imaging.

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.

Bone Suppression Increases the Visibility of Invasive Pulmonary Aspergillosis in Chest Radiographs

Nico Karssemeijer, Bram van Ginneken, Steven Schalekamp, 2014, PloS one.

Bone suppressed images improve radiologists' detection performance for pulmonary nodules in chest radiographs.

Nico Karssemeijer, Bram van Ginneken, Steven Schalekamp, 2013, European journal of radiology.

COVID-19 on Chest Radiographs: A Multireader Evaluation of an Artificial Intelligence System

Bram van Ginneken, Jaime Melendez, Keelin Murphy, 2020, 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.