Intensity‐curvature functional‐based filtering in image space and k‐space: Applications in magnetic resonance imaging of the human brain-Reference-Cited by-同舟云学术

Intensity‐curvature functional‐based filtering in image space and k‐space: Applications in magnetic resonance imaging of the human brain

Published:2019-02 Issue:1 Volume:2 Page:48-60
ISSN:2470-6981
Container-title:High Frequency
language:en
Short-container-title:High Freq

Author:

Ciulla Carlo¹^ORCID

Affiliation:

1. University of Information Science and Technology “St. Paul the Apostle” Ohrid Republic of North Macedonia

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/hf2.10031

Reference21 articles.

1. Perivascular spaces segmentation in brain MRI using optimal 3D filtering;Ballerini L.;Scientific Reports,2018

2. Ciulla C. Rechkoska U. S. Risteski F. A. &Veljanovski D.(2018).The use of the intensity‐curvature functional as k‐space filter: Applications in magnetic resonance imaging of the human brain. The 1st International Conference of Applied Computer Technologies (ACT 2018) 94‐100.

3. Intensity‐curvature functional‐based digital high‐pass filters;Ciulla C.;International Journal of Imaging Systems and Technology,2018

4. Intensity‐curvature highlight of human brain magnetic resonance imaging vasculature;Ciulla C.;International Journal of Modelling, Identification and Control,2018

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