De-noising of contrast-enhanced MRI sequences by an ensemble of expert deep neural networks

Ariel Benou; Ronel Veksler; Alon Friedman; Tammy Riklin Raviv

doi:10.1007/978-3-319-46976-8_11

De-noising of contrast-enhanced MRI sequences by an ensemble of expert deep neural networks

Ariel Benou, Ronel Veksler, Alon Friedman, Tammy Riklin Raviv

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Deep Learning and Data Labeling for Medical Applications - 1st International Workshop, LABELS 2016, and 2nd International Workshop, DLMIA 2016 Held in Conjunction with MICCAI 2016, Proceedings
Editors	Zhi Lu, Vasileios Belagiannis, Joao Manuel R.S. Tavares, Jaime S. Cardoso, Andrew Bradley, Joao Paulo Papa, Jacinto C. Nascimento, Marco Loog, Julien Cornebise, Gustavo Carneiro, Diana Mateus, Loic Peter
Publisher	Springer Verlag
Pages	95-110
Number of pages	16
ISBN (Print)	9783319469751
DOIs	https://doi.org/10.1007/978-3-319-46976-8_11
Publication status	Published - 2016
Externally published	Yes
Event	1st International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, LABELS 2016 and 2nd International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2016 held in conjunction with 19th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2016 - Athens, Greece Duration: Oct 21 2016 → Oct 21 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10008 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	1st International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, LABELS 2016 and 2nd International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2016 held in conjunction with 19th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2016
Country/Territory	Greece
City	Athens
Period	10/21/16 → 10/21/16

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-319-46976-8_11

Cite this

Benou, A., Veksler, R., Friedman, A., & Riklin Raviv, T. (2016). De-noising of contrast-enhanced MRI sequences by an ensemble of expert deep neural networks. In Z. Lu, V. Belagiannis, J. M. R. S. Tavares, J. S. Cardoso, A. Bradley, J. P. Papa, J. C. Nascimento, M. Loog, J. Cornebise, G. Carneiro, D. Mateus, & L. Peter (Eds.), Deep Learning and Data Labeling for Medical Applications - 1st International Workshop, LABELS 2016, and 2nd International Workshop, DLMIA 2016 Held in Conjunction with MICCAI 2016, Proceedings (pp. 95-110). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10008 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-46976-8_11

De-noising of contrast-enhanced MRI sequences by an ensemble of expert deep neural networks. / Benou, Ariel; Veksler, Ronel; Friedman, Alon et al.
Deep Learning and Data Labeling for Medical Applications - 1st International Workshop, LABELS 2016, and 2nd International Workshop, DLMIA 2016 Held in Conjunction with MICCAI 2016, Proceedings. ed. / Zhi Lu; Vasileios Belagiannis; Joao Manuel R.S. Tavares; Jaime S. Cardoso; Andrew Bradley; Joao Paulo Papa; Jacinto C. Nascimento; Marco Loog; Julien Cornebise; Gustavo Carneiro; Diana Mateus; Loic Peter. Springer Verlag, 2016. p. 95-110 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10008 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Benou, A, Veksler, R, Friedman, A & Riklin Raviv, T 2016, De-noising of contrast-enhanced MRI sequences by an ensemble of expert deep neural networks. in Z Lu, V Belagiannis, JMRS Tavares, JS Cardoso, A Bradley, JP Papa, JC Nascimento, M Loog, J Cornebise, G Carneiro, D Mateus & L Peter (eds), Deep Learning and Data Labeling for Medical Applications - 1st International Workshop, LABELS 2016, and 2nd International Workshop, DLMIA 2016 Held in Conjunction with MICCAI 2016, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10008 LNCS, Springer Verlag, pp. 95-110, 1st International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, LABELS 2016 and 2nd International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2016 held in conjunction with 19th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2016, Athens, Greece, 10/21/16. https://doi.org/10.1007/978-3-319-46976-8_11

Benou A, Veksler R, Friedman A, Riklin Raviv T. De-noising of contrast-enhanced MRI sequences by an ensemble of expert deep neural networks. In Lu Z, Belagiannis V, Tavares JMRS, Cardoso JS, Bradley A, Papa JP, Nascimento JC, Loog M, Cornebise J, Carneiro G, Mateus D, Peter L, editors, Deep Learning and Data Labeling for Medical Applications - 1st International Workshop, LABELS 2016, and 2nd International Workshop, DLMIA 2016 Held in Conjunction with MICCAI 2016, Proceedings. Springer Verlag. 2016. p. 95-110. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-46976-8_11

Benou, Ariel ; Veksler, Ronel ; Friedman, Alon et al. / De-noising of contrast-enhanced MRI sequences by an ensemble of expert deep neural networks. Deep Learning and Data Labeling for Medical Applications - 1st International Workshop, LABELS 2016, and 2nd International Workshop, DLMIA 2016 Held in Conjunction with MICCAI 2016, Proceedings. editor / Zhi Lu ; Vasileios Belagiannis ; Joao Manuel R.S. Tavares ; Jaime S. Cardoso ; Andrew Bradley ; Joao Paulo Papa ; Jacinto C. Nascimento ; Marco Loog ; Julien Cornebise ; Gustavo Carneiro ; Diana Mateus ; Loic Peter. Springer Verlag, 2016. pp. 95-110 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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author = "Ariel Benou and Ronel Veksler and Alon Friedman and {Riklin Raviv}, Tammy",

note = "Funding Information: This study was supported by the European Union{\textquoteright}s Seventh Framework Program (FP7/2007–2013; grant agreement 602102, EPITARGET; A.F.), the Israel Science Foundation (A.F.) and the Binational Israel-USA Foundation (BSF; A.F.). Publisher Copyright: {\textcopyright} Springer International Publishing AG 2016.; 1st International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, LABELS 2016 and 2nd International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2016 held in conjunction with 19th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2016 ; Conference date: 21-10-2016 Through 21-10-2016",

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N1 - Funding Information: This study was supported by the European Union’s Seventh Framework Program (FP7/2007–2013; grant agreement 602102, EPITARGET; A.F.), the Israel Science Foundation (A.F.) and the Binational Israel-USA Foundation (BSF; A.F.). Publisher Copyright: © Springer International Publishing AG 2016.

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Y2 - 21 October 2016 through 21 October 2016

ER -

De-noising of contrast-enhanced MRI sequences by an ensemble of expert deep neural networks

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