Sarah J. van Riel

According to our database, Sarah J. van Riel authored at least 5 papers between 2015 and 2016.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2016

Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks.

Arnaud Arindra Adiyoso Setio, Francesco Ciompi, Geert Litjens, Paul K. Gerke, Colin Jacobs, Sarah J. van Riel, Mathilde Marie Winkler Wille, Matiullah Naqibullah, Clara I. Sánchez, Bram van Ginneken

IEEE Trans. Medical Imaging, 2016

Towards automatic pulmonary nodule management in lung cancer screening with deep learning.

Francesco Ciompi, Kaman Chung, Sarah J. van Riel, Arnaud Arindra Adiyoso Setio, Paul K. Gerke, Colin Jacobs, Ernst Th. Scholten, Cornelia Schaefer-Prokop, Mathilde M. W. Wille, Alfonso Marchiano, Ugo Pastorino, Mathias Prokop, Bram van Ginneken

CoRR, 2016

2015

Automatic classification of pulmonary peri-fissural nodules in computed tomography using an ensemble of 2D views and a convolutional neural network out-of-the-box.

Francesco Ciompi, Bartjan de Hoop, Sarah J. van Riel, Kaman Chung, Ernst Th. Scholten, Matthijs Oudkerk, Pim A. de Jong, Mathias Prokop, Bram van Ginneken

Medical Image Anal., 2015

Computer-aided detection of lung cancer: combining pulmonary nodule detection systems with a tumor risk prediction model.

Arnaud A. A. Setio, Colin Jacobs, Francesco Ciompi, Sarah J. van Riel, Mathilde Marie Winkler Wille, Asger Dirksen, Eva M. van Rikxoort, Bram van Ginneken

Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015

Automatic detection of spiculation of pulmonary nodules in computed tomography images.

Francesco Ciompi, Colin Jacobs, Ernst Th. Scholten, Sarah J. van Riel, Mathilde M. W. Wille, Mathias Prokop, Bram van Ginneken

Proceedings of the Medical Imaging 2015: Computer-Aided Diagnosis, 2015