Optimized 8-level turbo encoder algorithm and VLSI architecture for LTE. - Ardimas Andi Purwita; Arnaud A. A. Setio; Trio Adiono (ICEEI, 2011)

Memory-centric accelerator design for Convolutional Neural Networks. - Maurice Peemen; Arnaud A. A. Setio; Bart Mesman; Henk Corporaal (ICCD, 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 (VISAPP (1), 2013)

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 (ISBI, 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 (Computer-Aided Diagnosis, 2015)

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 (Computer-Aided Diagnosis, 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; et al. (CoRR, 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 011; Qi Dou 001; Maria Evelina Fantacci; Bram Geurts; Robbert van der Gugten; Pheng-Ann Heng; et al. (CoRR, 2016)

Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks. - Arnaud Arindra Adiyoso Setio; Francesco Ciompi; Geert Litjens 001; 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)

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 (Computer-Aided Diagnosis, 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)

A survey on deep learning in medical image analysis. - Geert Litjens 001; 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)

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 011; Qi Dou 001; Maria Evelina Fantacci; Bram Geurts; Robbert van der Gugten; Pheng-Ann Heng; et al. (Medical Image Anal., 2017)

Decompose to manipulate: Manipulable Object Synthesis in 3D Medical Images with Structured Image Decomposition. - Siqi Liu 001; Eli Gibson; Sasa Grbic; Zhoubing Xu; Arnaud Arindra Adiyoso Setio; Jie Yang 041; Bogdan Georgescu; Dorin Comaniciu (CoRR, 2018)

Class-Aware Adversarial Lung Nodule Synthesis In CT Images. - Jie Yang 041; Siqi Liu 001; Sasa Grbic; Arnaud Arindra Adiyoso Setio; Zhoubing Xu; Eli Gibson; Guillaume Chabin; Bogdan Georgescu; Andrew F. Laine; Dorin Comaniciu (ISBI, 2019)

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 (MLMI@MICCAI, 2020)

Abstract: Extracting and Leveraging Nodule Features with Lung Inpainting for Local Feature Augmentation. - Sebastian Gündel; Arnaud A. A. Setio; Sasa Grbic; Andreas Maier 001; Dorin Comaniciu (Bildverarbeitung für die Medizin, 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)

No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting With Adversarial Attacks. - Siqi Liu 001; Arnaud Arindra Adiyoso Setio; Florin C. Ghesu; Eli Gibson; Sasa Grbic; Bogdan Georgescu; Dorin Comaniciu (IEEE Trans. Medical Imaging, 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)

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)