Arnaud A. A. Setio

15 papers C 1Journal 5Unranked 9
YearRankTypeTitle / Venue / Authors
2025 — conf
Beyond One Size Fits All: Customization of Radiology Report Generation Methods.
Agentic AI/CREATE/Clinical MLLMs@MICCAI
Tom van Sonsbeek, Arnaud A. A. Setio, Jung Oh Lee, Junwoo Cho, Junha Kim, Hyeonsoo Lee, Gunhee Nam, Laurent Dillard, Taesoo Kim
2025 — conf
SPEC-CXR: Advancing Clinical Safety Through Entity-Level Performance Evaluation of Chest X-ray Report Generation.
MICCAI (7)
Jung Oh Lee, Junwoo Cho, Junha Kim, Laurent Dillard, Tom van Sonsbeek, Arnaud A. A. Setio, Hyeonsoo Lee, Donggeun Yoo, Taesoo Kim
2022 J jnl
Deep Learning Based Centerline-Aggregated Aortic Hemodynamics: An Efficient Alternative to Numerical Modeling of Hemodynamics.
IEEE J. Biomed. Health Informatics
Pavlo Yevtushenko, Leonid Goubergrits, Lina Gundelwein, Arnaud A. A. Setio, Heiko Ramm, Hans Lamecker, Tobias Heimann, Alexander Meyer, Titus Kühne, Marie Schafstedde
2021 — conf
Abstract: Extracting and Leveraging Nodule Features with Lung Inpainting for Local Feature Augmentation.
Bildverarbeitung für die Medizin
Sebastian Gündel, Arnaud A. A. Setio, Sasa Grbic, Andreas Maier, Dorin Comaniciu
2021 J jnl
Robust Classification from Noisy Labels: Integrating Additional Knowledge for Chest Radiography Abnormality Assessment.
CoRR
Sebastian Gündel, Arnaud A. A. Setio, Florin C. Ghesu, Sasa Grbic, Bogdan Georgescu, Andreas Maier, Dorin Comaniciu
2021 J jnl
Robust classification from noisy labels: Integrating additional knowledge for chest radiography abnormality assessment.
Medical Image Anal.
Sebastian Gündel, Arnaud A. A. Setio, Florin C. Ghesu, Sasa Grbic, Bogdan Georgescu, Andreas K. Maier, Dorin Comaniciu
2021 J jnl
Synthetic Database of Aortic Morphometry and Hemodynamics: Overcoming Medical Imaging Data Availability.
IEEE Trans. Medical Imaging
Bente Thamsen, Pavlo Yevtushenko, Lina Gundelwein, Arnaud A. A. Setio, Hans Lamecker, Marcus Kelm, Marie Schafstedde, Tobias Heimann, Titus Kühne, Leonid Goubergrits
2020 — conf
Extracting and Leveraging Nodule Features with Lung Inpainting for Local Feature Augmentation.
MLMI@MICCAI
Sebastian Gündel, Arnaud A. A. Setio, Sasa Grbic, Andreas K. Maier, Dorin Comaniciu
2017 J jnl
Improving airway segmentation in computed tomography using leak detection with convolutional networks.
Medical Image Anal.
Jean-Paul Charbonnier, Eva M. van Rikxoort, Arnaud A. A. Setio, Cornelia Schaefer-Prokop, Bram van Ginneken, Francesco Ciompi
2016 — conf
Deep convolutional neural networks for automatic coronary calcium scoring in a screening study with low-dose chest CT.
Computer-Aided Diagnosis
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
2015 — conf
Computer-aided detection of lung cancer: combining pulmonary nodule detection systems with a tumor risk prediction model.
Computer-Aided Diagnosis
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
2015 — conf
Off-the-shelf convolutional neural network features for pulmonary nodule detection in computed tomography scans.
ISBI
Bram van Ginneken, Arnaud A. A. Setio, Colin Jacobs, Francesco Ciompi
2013 — conf
Evaluation and Comparison of Textural Feature Representation for the Detection of Early Stage Cancer in Endoscopy.
VISAPP (1)
Arnaud A. A. Setio, Fons van der Sommen, Svitlana Zinger, Erik J. Schoon, Peter H. N. de With
2013 C conf
Memory-centric accelerator design for Convolutional Neural Networks.
ICCD
Maurice Peemen, Arnaud A. A. Setio, Bart Mesman, Henk Corporaal
2011 — conf
Optimized 8-level turbo encoder algorithm and VLSI architecture for LTE.
ICEEI
Ardimas Andi Purwita, Arnaud A. A. Setio, Trio Adiono