Hybrid and fast: A novel in silico approach with reduced computational cost to predict failures of in vivo needle-based implantations

Pier Nicola Sergi; Winnie Jensen; Ken Yoshida; Silvestro Micera

doi:10.1007/978-3-030-01845-0_25

Hybrid and fast: A novel in silico approach with reduced computational cost to predict failures of in vivo needle-based implantations

Pier Nicola Sergi^*, Winnie Jensen, Ken Yoshida, Silvestro Micera

^*Corresponding author

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

Original language	English
Title of host publication	Converging Clinical and Engineering Research on Neurorehabilitation III : Proceedings of the 4th International Conference on NeuroRehabilitation (ICNR2018)
Number of pages	5
Publisher	Springer Publishing Company
Publication date	1 Jan 2019
Pages	127-131
ISBN (Print)	978-3-030-01844-3
ISBN (Electronic)	978-3-030-01845-0
DOIs	https://doi.org/10.1007/978-3-030-01845-0_25
Publication status	Published - 1 Jan 2019
Event	4th International Conference on NeuroRehabilitation, ICNR2018 - Pisa, Italy Duration: 16 Oct 2018 → 20 Oct 2018

Conference

Conference	4th International Conference on NeuroRehabilitation, ICNR2018
Country	Italy
City	Pisa
Period	16/10/2018 → 20/10/2018

Series	Biosystems and Biorobotics
Volume	21
ISSN	2195-3562

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Sergi, P. N., Jensen, W., Yoshida, K., & Micera, S. (2019). Hybrid and fast: A novel in silico approach with reduced computational cost to predict failures of in vivo needle-based implantations. In Converging Clinical and Engineering Research on Neurorehabilitation III: Proceedings of the 4th International Conference on NeuroRehabilitation (ICNR2018) (pp. 127-131). Springer Publishing Company. Biosystems and Biorobotics Vol. 21 https://doi.org/10.1007/978-3-030-01845-0_25

Sergi, Pier Nicola ; Jensen, Winnie ; Yoshida, Ken ; Micera, Silvestro. / Hybrid and fast : A novel in silico approach with reduced computational cost to predict failures of in vivo needle-based implantations. Converging Clinical and Engineering Research on Neurorehabilitation III: Proceedings of the 4th International Conference on NeuroRehabilitation (ICNR2018). Springer Publishing Company, 2019. pp. 127-131 (Biosystems and Biorobotics, Vol. 21).

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title = "Hybrid and fast: A novel in silico approach with reduced computational cost to predict failures of in vivo needle-based implantations",

author = "Sergi, {Pier Nicola} and Winnie Jensen and Ken Yoshida and Silvestro Micera",

year = "2019",

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doi = "10.1007/978-3-030-01845-0_25",

language = "English",

isbn = "978-3-030-01844-3",

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Sergi, PN, Jensen, W, Yoshida, K & Micera, S 2019, Hybrid and fast: A novel in silico approach with reduced computational cost to predict failures of in vivo needle-based implantations. in Converging Clinical and Engineering Research on Neurorehabilitation III: Proceedings of the 4th International Conference on NeuroRehabilitation (ICNR2018). Springer Publishing Company, Biosystems and Biorobotics, vol. 21, pp. 127-131, 4th International Conference on NeuroRehabilitation, ICNR2018, Pisa, Italy, 16/10/2018. https://doi.org/10.1007/978-3-030-01845-0_25

Hybrid and fast : A novel in silico approach with reduced computational cost to predict failures of in vivo needle-based implantations. / Sergi, Pier Nicola; Jensen, Winnie; Yoshida, Ken; Micera, Silvestro.

Converging Clinical and Engineering Research on Neurorehabilitation III: Proceedings of the 4th International Conference on NeuroRehabilitation (ICNR2018). Springer Publishing Company, 2019. p. 127-131 (Biosystems and Biorobotics, Vol. 21).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - Hybrid and fast

AU - Sergi, Pier Nicola

AU - Jensen, Winnie

AU - Yoshida, Ken

AU - Micera, Silvestro

PY - 2019/1/1

Y1 - 2019/1/1

UR - http://www.scopus.com/inward/record.url?scp=85055322686&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-01845-0_25

DO - 10.1007/978-3-030-01845-0_25

M3 - Article in proceeding

AN - SCOPUS:85055322686

SN - 978-3-030-01844-3

T3 - Biosystems and Biorobotics

SP - 127

EP - 131

BT - Converging Clinical and Engineering Research on Neurorehabilitation III

PB - Springer Publishing Company

Y2 - 16 October 2018 through 20 October 2018

ER -

Sergi PN, Jensen W, Yoshida K, Micera S. Hybrid and fast: A novel in silico approach with reduced computational cost to predict failures of in vivo needle-based implantations. In Converging Clinical and Engineering Research on Neurorehabilitation III: Proceedings of the 4th International Conference on NeuroRehabilitation (ICNR2018). Springer Publishing Company. 2019. p. 127-131. (Biosystems and Biorobotics, Vol. 21). https://doi.org/10.1007/978-3-030-01845-0_25

Hybrid and fast: A novel in silico approach with reduced computational cost to predict failures of in vivo needle-based implantations

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