Tensor decomposition and machine learning for the detection of arteriovenous fistula stenosis: An initial evaluation

Sepideh Poushpas; Pasha Normahani; Ilya Kisil; Ben Szubert; Danilo P. Mandic; Usman Jaffer

doi:10.1371/journal.pone.0286952

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Open Access

Peer-reviewed

Research Article

Tensor decomposition and machine learning for the detection of arteriovenous fistula stenosis: An initial evaluation

Sepideh Poushpas,

Roles Data curation, Formal analysis, Funding acquisition, Investigation, Resources, Visualization, Writing – original draft, Writing – review & editing

Affiliation Imperial Vascular Unit, Imperial College NHS Healthcare Trust, London, United Kingdom

https://orcid.org/0000-0002-4286-5534

⨯
Pasha Normahani,

Roles Conceptualization, Formal analysis, Methodology, Project administration, Supervision, Writing – review & editing

Affiliations Imperial Vascular Unit, Imperial College NHS Healthcare Trust, London, United Kingdom, Department of Surgery and Cancer, Imperial College London, London, United Kingdom
⨯
Ilya Kisil,

Roles Data curation, Formal analysis, Writing – original draft, Writing – review & editing

Affiliation Electrical and Electronic Engineering Department, Imperial College London, London, United Kingdom
⨯
Ben Szubert,

Roles Data curation, Formal analysis, Writing – original draft, Writing – review & editing

Affiliation Independent Researcher, United Kingdom

https://orcid.org/0000-0001-6624-409X

⨯
Danilo P. Mandic,

Roles Conceptualization, Formal analysis, Visualization

Affiliation Electrical and Electronic Engineering Department, Imperial College London, London, United Kingdom
⨯
Usman Jaffer

Roles Conceptualization, Formal analysis, Methodology, Project administration, Supervision, Writing – review & editing

* E-mail: usman.jaffer@nhs.net

Affiliations Imperial Vascular Unit, Imperial College NHS Healthcare Trust, London, United Kingdom, Department of Surgery and Cancer, Imperial College London, London, United Kingdom

https://orcid.org/0000-0002-2368-7496

⨯

Tensor decomposition and machine learning for the detection of arteriovenous fistula stenosis: An initial evaluation

Sepideh Poushpas,
Pasha Normahani,
Ilya Kisil,
Ben Szubert,
Danilo P. Mandic,
Usman Jaffer

Published: July 25, 2023
https://doi.org/10.1371/journal.pone.0286952

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