Arnaud A. A. Setio

According to our database, Arnaud A. A. Setio authored at least 21 papers between 2011 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Deep Learning Based Centerline-Aggregated Aortic Hemodynamics: An Efficient Alternative to Numerical Modeling of Hemodynamics.

Pavlo Yevtushenko, Leonid Goubergrits, Lina Gundelwein, Arnaud A. A. Setio, Heiko Ramm, Hans Lamecker, Tobias Heimann, Alexander Meyer, Titus Kühne, Marie Schafstedde

IEEE J. Biomed. Health Informatics, 2022

2021

Synthetic Database of Aortic Morphometry and Hemodynamics: Overcoming Medical Imaging Data Availability.

Bente Thamsen, Pavlo Yevtushenko, Lina Gundelwein, Arnaud A. A. Setio, Hans Lamecker, Marcus Kelm, Marie Schafstedde, Tobias Heimann, Titus Kühne, Leonid Goubergrits

IEEE Trans. Medical Imaging, 2021

No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting With Adversarial Attacks.

Siqi Liu, Arnaud Arindra Adiyoso Setio, Florin C. Ghesu, Eli Gibson, Sasa Grbic, Bogdan Georgescu, Dorin Comaniciu

IEEE Trans. Medical Imaging, 2021

Robust classification from noisy labels: Integrating additional knowledge for chest radiography abnormality assessment.

Sebastian Gündel, Arnaud A. A. Setio, Florin C. Ghesu, Sasa Grbic, Bogdan Georgescu, Andreas K. Maier, Dorin Comaniciu

Medical Image Anal., 2021

Abstract: Extracting and Leveraging Nodule Features with Lung Inpainting for Local Feature Augmentation.

Sebastian Gündel, Arnaud A. A. Setio, Sasa Grbic, Andreas Maier, Dorin Comaniciu

Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

2020

Extracting and Leveraging Nodule Features with Lung Inpainting for Local Feature Augmentation.

Sebastian Gündel, Arnaud A. A. Setio, Sasa Grbic, Andreas K. Maier, Dorin Comaniciu

Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

2019

Class-Aware Adversarial Lung Nodule Synthesis In CT Images.

Jie Yang, Siqi Liu, Sasa Grbic, Arnaud Arindra Adiyoso Setio, Zhoubing Xu, Eli Gibson, Guillaume Chabin, Bogdan Georgescu, Andrew F. Laine, Dorin Comaniciu

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

Decompose to manipulate: Manipulable Object Synthesis in 3D Medical Images with Structured Image Decomposition.

Siqi Liu, Eli Gibson, Sasa Grbic, Zhoubing Xu, Arnaud Arindra Adiyoso Setio, Jie Yang, Bogdan Georgescu, Dorin Comaniciu

CoRR, 2018

2017

Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge.

Arnaud Arindra Adiyoso Setio, Alberto Traverso, Thomas de Bel, Moira S. N. Berens, Cas van den Bogaard, Piergiorgio Cerello, Hao Chen, Qi Dou, Maria Evelina Fantacci, Bram Geurts, Robbert van der Gugten, Pheng-Ann Heng, Bart Jansen, Michael M. J. de Kaste, Valentin Kotov, Jack Yu-Hung Lin, Jeroen T. M. C. Manders, Alexander Sóñora-Mengana, Juan Carlos García-Naranjo, Evgenia Papavasileiou, Mathias Prokop

Medical Image Anal., 2017

A survey on deep learning in medical image analysis.

Geert Litjens, Thijs Kooi, Babak Ehteshami Bejnordi, Arnaud Arindra Adiyoso Setio, Francesco Ciompi, Mohsen Ghafoorian, Jeroen A. W. M. van der Laak, Bram van Ginneken, Clara I. Sánchez

Medical Image Anal., 2017

Improving airway segmentation in computed tomography using leak detection with convolutional networks.

Jean-Paul Charbonnier, Eva M. van Rikxoort, Arnaud A. A. Setio, Cornelia Schaefer-Prokop, Bram van Ginneken, Francesco Ciompi

Medical Image Anal., 2017

Organ detection in thorax abdomen CT using multi-label convolutional neural networks.

Gabriel Efrain Humpire Mamani, Arnaud Arindra Adiyoso Setio, Bram van Ginneken, Colin Jacobs

Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

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

Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge.

Arnaud Arindra Adiyoso Setio, Alberto Traverso, Thomas de Bel, Moira S. N. Berens, Cas van den Bogaard, Piergiorgio Cerello, Hao Chen, Qi Dou, Maria Evelina Fantacci, Bram Geurts, Robbert van der Gugten, Pheng-Ann Heng, Bart Jansen, Michael M. J. de Kaste, Valentin Kotov, Jack Yu-Hung Lin, Jeroen T. M. C. Manders, Alexander Sóñora-Mengana, Juan Carlos García-Naranjo, Mathias Prokop, Marco Saletta, Cornelia Schaefer-Prokop, Ernst Th. Scholten, Luuk Scholten, Miranda M. Snoeren, Ernesto Lopez Torres, Jef Vandemeulebroucke, Nicole Walasek, Guido C. A. Zuidhof, Bram van Ginneken, Colin Jacobs

CoRR, 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

Deep convolutional neural networks for automatic coronary calcium scoring in a screening study with low-dose chest CT.

Nikolas Leßmann, Ivana Isgum, Arnaud A. A. Setio, Bob D. de Vos, Francesco Ciompi, Pim A. de Jong, Matthijs Oudkerk, W. P. Th. M. Mali, Max A. Viergever, Bram van Ginneken

Proceedings of the Medical Imaging 2016: Computer-Aided Diagnosis, San Diego, 2016

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

Off-the-shelf convolutional neural network features for pulmonary nodule detection in computed tomography scans.

Bram van Ginneken, Arnaud A. A. Setio, Colin Jacobs, Francesco Ciompi

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2013

Evaluation and Comparison of Textural Feature Representation for the Detection of Early Stage Cancer in Endoscopy.

Arnaud A. A. Setio, Fons van der Sommen, Svitlana Zinger, Erik J. Schoon, Peter H. N. de With

Proceedings of the VISAPP 2013, 2013

Memory-centric accelerator design for Convolutional Neural Networks.

Maurice Peemen, Arnaud A. A. Setio, Bart Mesman, Henk Corporaal

Proceedings of the 2013 IEEE 31st International Conference on Computer Design, 2013

2011

Optimized 8-level turbo encoder algorithm and VLSI architecture for LTE.

Ardimas Andi Purwita, Arnaud A. A. Setio, Trio Adiono

Proceedings of the International Conference on Electrical Engineering and Informatics, 2011