Arnaud A. A. Setio

Publication Activity (10 Years)

Years Active: 2011-2022
Publications (10 Years): 8

Top Topics

Additional Knowledge

Nodule Detection

Convolutional Neural Networks

Top Venues

Medical Image Anal.

Medical Imaging: Computer-Aided Diagnosis

Publications

Pavlo Yevtushenko, Leonid Goubergrits, Lina Gundelwein, Arnaud A. A. Setio, Heiko Ramm, Hans Lamecker, Tobias Heimann, Alexander Meyer, Titus Kühne, Marie Schafstedde
Deep Learning Based Centerline-Aggregated Aortic Hemodynamics: An Efficient Alternative to Numerical Modeling of Hemodynamics. IEEE J. Biomed. Health Informatics 26 (4) (2022)
Sebastian Gündel, Arnaud A. A. Setio, Florin C. Ghesu, Sasa Grbic, Bogdan Georgescu, Andreas K. Maier, Dorin Comaniciu
Robust classification from noisy labels: Integrating additional knowledge for chest radiography abnormality assessment. Medical Image Anal. 72 (2021)
Sebastian Gündel, Arnaud A. A. Setio, Florin C. Ghesu, Sasa Grbic, Bogdan Georgescu, Andreas Maier, Dorin Comaniciu
Robust Classification from Noisy Labels: Integrating Additional Knowledge for Chest Radiography Abnormality Assessment. CoRR (2021)
Bente Thamsen, Pavlo Yevtushenko, Lina Gundelwein, Arnaud A. A. Setio, Hans Lamecker, Marcus Kelm, Marie Schafstedde, Tobias Heimann, Titus Kühne, Leonid Goubergrits
Synthetic Database of Aortic Morphometry and Hemodynamics: Overcoming Medical Imaging Data Availability. IEEE Trans. Medical Imaging 40 (5) (2021)
Sebastian Gündel, Arnaud A. A. Setio, Sasa Grbic, Andreas Maier, Dorin Comaniciu
Abstract: Extracting and Leveraging Nodule Features with Lung Inpainting for Local Feature Augmentation. Bildverarbeitung für die Medizin (2021)
Sebastian Gündel, Arnaud A. A. Setio, Sasa Grbic, Andreas K. Maier, Dorin Comaniciu
Extracting and Leveraging Nodule Features with Lung Inpainting for Local Feature Augmentation. MLMI@MICCAI (2020)
Jean-Paul Charbonnier, Eva M. van Rikxoort, Arnaud A. A. Setio, Cornelia Schaefer-Prokop, Bram van Ginneken, Francesco Ciompi
Improving airway segmentation in computed tomography using leak detection with convolutional networks. Medical Image Anal. 36 (2017)
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
Deep convolutional neural networks for automatic coronary calcium scoring in a screening study with low-dose chest CT. Medical Imaging: Computer-Aided Diagnosis (2016)
Bram van Ginneken, Arnaud A. A. Setio, Colin Jacobs, Francesco Ciompi
Off-the-shelf convolutional neural network features for pulmonary nodule detection in computed tomography scans. ISBI (2015)
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 detection of lung cancer: combining pulmonary nodule detection systems with a tumor risk prediction model. Medical Imaging: Computer-Aided Diagnosis (2015)
Arnaud A. A. Setio, Fons van der Sommen, Svitlana Zinger, Erik J. Schoon, Peter H. N. de With
Evaluation and Comparison of Textural Feature Representation for the Detection of Early Stage Cancer in Endoscopy. VISAPP (1) (2013)
Maurice Peemen, Arnaud A. A. Setio, Bart Mesman, Henk Corporaal
Memory-centric accelerator design for Convolutional Neural Networks. ICCD (2013)
Ardimas Andi Purwita, Arnaud A. A. Setio, Trio Adiono
Optimized 8-level turbo encoder algorithm and VLSI architecture for LTE. ICEEI (2011)