In-silico trial of intracranial flow diverters replicates and expands insights from conventional clinical trials
Sarrami-Foroushani, Ali and Lassila, Toni and MacRaild, Michael and Asquith, Joshua and Roes, Kit C.B. and Byrne, James V. and Frangi, Alejandro F.
(2021)
In-silico trial of intracranial flow diverters replicates and expands insights from conventional clinical trials.
University of Leeds.
[Dataset]
https://doi.org/10.5518/991
Dataset description
Source data for Tables 1-6 and raw simulation outputs
Subjects: |
H000 - Engineering > H100 - General engineering > H160 - Bioengineering, biomedical engineering & clinical engineering |
Divisions: |
Faculty of Engineering > School of Computing |
Related resources: |
|
License: |
Creative Commons Attribution 4.0 International (CC BY 4.0) |
Date deposited: |
06 Jul 2021 07:39 |
URI: |
http://archive.researchdata.leeds.ac.uk/id/eprint/866 |
Creators: |
Creators | ORCID | Other ID | Email | Primary affiliation | Primary affiliation ID | Primary affiliation ID type | Secondary affiliation | Secondary affiliation ID | Secondary affiliation ID type |
---|
Sarrami-Foroushani, Ali | https://orcid.org/0000-0001-8944-449X | | | University Of Leeds | https://ror.org/024mrxd33 | ROR | | | | Lassila, Toni | https://orcid.org/0000-0001-8947-1447 | | | University Of Leeds | https://ror.org/024mrxd33 | ROR | | | | MacRaild, Michael | | | | University Of Leeds | https://ror.org/024mrxd33 | ROR | | | | Asquith, Joshua | | | | University Of Leeds | https://ror.org/024mrxd33 | ROR | | | | Roes, Kit C.B. | | | | University Of Leeds | https://ror.org/024mrxd33 | ROR | | | | Byrne, James V. | | | | University Of Leeds | https://ror.org/024mrxd33 | ROR | | | | Frangi, Alejandro F. | https://orcid.org/0000-0002-2675-528X | | | University Of Leeds | https://ror.org/024mrxd33 | ROR | | | |
|
Type of data: |
Dataset |
Research funders: |
Royal Academy of Engineering RAEng Chair in Emerging Technologies, European Commission to @neurIST, European Commission H2020 InSilc, EPSRC, ANSYS Academic Partnership agreement |
Grant numbers: |
CiET1919/19, FP6-2004-IST-4-027703, H2020-SC1-2017-CNECT-2-777119, EP/L01615X/1, #1122349 |
Publication date: |
2021 |
Resource language: |
English |
Research project title: |
Integrated Biomedical Informatics for the Management of Cerebral Aneurysms, “In-silico trials for drug-eluting BVS design, development and evaluation |
Publisher: |
University of Leeds |
Contact Email Address: |
a.frangi@leeds.ac.uk |
Last Modified: |
06 Jul 2021 22:35 |
|