Science Score: 54.0%
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✓CITATION.cff file
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✓codemeta.json file
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Low similarity (10.9%) to scientific vocabulary
Repository
Masked Image Fourier Transform
Basic Info
- Host: GitHub
- Owner: ITISFoundation
- License: gpl-3.0
- Language: Jupyter Notebook
- Default Branch: master
- Size: 1.26 MB
Statistics
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Fourier Base Fitting on Masked Data
This python library is offering Fourier Base Fitting on structured data where part of the data is missing or unreliable. This is often the case in biomedical image data, for example the deformation data which shows how the brain pulsates during each cardiac cycle [1].
Description
The library was designed for data in 1D, 2D, and 3D (with one or multiple time steps like in the case of deformation data). For detailed information and mathematical description see [2].
Installation
pip install git+https://github.com/ITISFoundation/MIFT
Usage
All the relevant functions are implemented in classes.py and utils.py. To view examples of usage in 1D, 2D, and 3D space, please refer to the benchmarks located in the benchmarks folder for 1D, 2D, and 3D data, respectively. For practical demonstrations of the library, please refer to the tutorials to observe how the library can be utilized for processing and reconstructing real deformation data. Sample deformation data can be accessed via: https://zenodo.org/records/10590047.
Support
If you have any questions or issues, contact karimi@itis.swiss.
Authors and acknowledgment
This library was prepared by Fariba Karimi under the direct guidance of Dr. Esra Neufeld and Dr. Arya Fallahi. This was developed for processing of the deformation data in the contect of developing a non-invasive surrogate for intracranial pressure monitoring (see [1] for detailed information).
License
GNU GENERAL PUBLIC LICENSE -- see full license text here.
References
[1] Karimi, F., Neufeld, E., Fallahi, A., Boraschi, A., Zwanenburg, J.J., Spiegelberg, A., Kurtcuoglu, V. and Kuster, N., 2023. Theory for a non-invasive diagnostic biomarker for craniospinal diseases. NeuroImage: Clinical, 37, p.103280. Available here
[2] Karimi, F., Neufeld, E., Fallahi, A., Kurtcuoglu, V. and Kuster, N., 2024. Efficient Fourier Base Fitting on Masked or Incomplete Structured Data.
Owner
- Name: IT'IS Foundation
- Login: ITISFoundation
- Kind: organization
- Email: info@itis.swiss
- Location: Zurich, Switzerland
- Website: www.itis.swiss
- Repositories: 36
- Profile: https://github.com/ITISFoundation
Foundation for Research on Information Technologies in Society (IT'IS)
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: >-
A Gaussian-process-model-based approach for robust,
independent, and implementation-agnostic validation of
complex multi-variable measurement systems: application to
SAR measurement systems
message: >-
If you use this software, please cite it using these
metadata
type: software
authors:
- given-names: Cedric
family-names: Bujard
affiliation: IT'IS Foundation
- given-names: Esra
family-names: Neufeld
affiliation: IT'IS Foundation
- given-names: Mark
family-names: Douglas
affiliation: IT'IS Foundation
- given-names: Joe
family-names: Wiart
affiliation: >-
Laboratoire de Traitement et Communication de
l’Information (LTCI), C2M, Télécom Paris
- given-names: Niels
family-names: Kuster
affiliation: IT'IS Foundation
orcid: 'https://orcid.org/0000-0002-5827-3728'
repository-code: 'https://github.com/ITISFoundation/publication-IEC62209'
abstract: >-
Resource-efficient and robust validation of complex
measurement systems that would require millions of test
permutations for comprehensive coverage is an unsolved
problem. In the paper, a general, robust, trustworthy,
efficient, and comprehensive validation approach based on
a Gaussian Process model (GP) of the test system has been
developed that can operate system-agnostically, prevents
calibration to a fixed set of known validation benchmarks,
and supports large configuration spaces. The approach
includes three steps that can be performed independently
by different parties: 1) GP model creation, 2) model
confirmation, and 3) model-based critical search for
failures. The new approach has been applied to two systems
utilizing different measurement methods for compliance
testing of radiofrequency-emitting devices according to
two independent standards, i.e., IEC 62209-1528 for
scanning systems and IEC 62209-3 for array systems. The
results demonstrate that the proposed measurement system
validation is practical and feasible. It reduces the
effort to a minimum such that it can be routinely
performed by any test lab or other user and constitutes a
pragmatic approach for establishing validity and effective
equivalence of the two measurement device classes.
license: MIT
contact:
- affiliation: "IT'IS Foundation"
email: "bujard@itis.swiss"
family-names: Bujard
given-names: Cedric
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