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

A. Setio, F. Ciompi, G. Litjens, P. Gerke, C. Jacobs, S. van Riel, M. Wille, M. Naqibullah, C. Sánchez, and B. van Ginneken. IEEE Trans. Medical Imaging, 35 (5): 1160-1169 (2016)

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Arnaud Mende

Arnaud Moris

Julien Arnaud

Arnaud Casteigts

Arnaud Soulet

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Class-Aware Adversarial Lung Nodule Synthesis In CT Images.J. Yang, S. Liu, S. Grbic, A. Setio, Z. Xu, E. Gibson, G. Chabin, B. Georgescu, A. Laine, and D. Comaniciu. ISBI, page 1348-1352. IEEE, (2019)Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks.A. Setio, F. Ciompi, G. Litjens, P. Gerke, C. Jacobs, S. van Riel, M. Wille, M. Naqibullah, C. Sánchez, and B. van Ginneken. IEEE Trans. Medical Imaging, 35 (5): 1160-1169 (2016)No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting with Adversarial Attacks.S. Liu, A. Setio, F. Ghesu, E. Gibson, S. Grbic, B. Georgescu, and D. Comaniciu. CoRR, (2020)No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting With Adversarial Attacks.S. Liu, A. Setio, F. Ghesu, E. Gibson, S. Grbic, B. Georgescu, and D. Comaniciu. IEEE Trans. Medical Imaging, 40 (1): 335-345 (2021)Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge.A. Setio, A. Traverso, T. de Bel, M. Berens, C. van den Bogaard, P. Cerello, H. Chen, Q. Dou, M. Fantacci, B. Geurts and 11 other author(s). Medical Image Anal., (2017)Towards automatic pulmonary nodule management in lung cancer screening with deep learning.F. Ciompi, K. Chung, S. van Riel, A. Setio, P. Gerke, C. Jacobs, E. Scholten, C. Schaefer-Prokop, M. Wille, A. Marchiano and 3 other author(s). CoRR, (2016)Organ detection in thorax abdomen CT using multi-label convolutional neural networks.G. Mamani, A. Setio, B. van Ginneken, and C. Jacobs. Medical Imaging: Computer-Aided Diagnosis, volume 10134 of SPIE Proceedings, page 1013416. SPIE, (2017)A survey on deep learning in medical image analysis.G. Litjens, T. Kooi, B. Bejnordi, A. Setio, F. Ciompi, M. Ghafoorian, J. van der Laak, B. van Ginneken, and C. Sánchez. Medical Image Anal., (2017)Decompose to manipulate: Manipulable Object Synthesis in 3D Medical Images with Structured Image Decomposition.S. Liu, E. Gibson, S. Grbic, Z. Xu, A. Setio, J. Yang, B. Georgescu, and D. Comaniciu. CoRR, (2018)Class-Aware Adversarial Lung Nodule Synthesis in CT Images.J. Yang, S. Liu, S. Grbic, A. Setio, Z. Xu, E. Gibson, G. Chabin, B. Georgescu, A. Laine, and D. Comaniciu. CoRR, (2018)

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Disambiguation of "Setio, Arnaud Arindra Adiyoso"

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

Please choose a person to relate this publication to

Arnaud Mende

Arnaud Moris

Julien Arnaud

Arnaud Casteigts

Arnaud Soulet

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Setio, Arnaud Arindra Adiyoso"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks.

Please choose a person to relate this publication to

Arnaud Mende

Arnaud Moris

Julien Arnaud

Arnaud Casteigts

Arnaud Soulet

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
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APA
Chicago
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Pulmonary Nodule Detection in CT Images: False Positive Reduction Using Multi-View Convolutional Networks.