Publication2017
MRI denoising using sparse based curvelet transform with variance stabilizing transformation framework
The record
- Type
- Publication
- Date
- 1 July 2017
- Level
- National
- Journal
- Indonesian Journal of Electrical Engineering and Computer Science
- Volume
- 7
- Issue
- 1
- Pages
- 116-122
- Published
- 1 July 2017
- DOI
- 10.11591/ijeecs.v7.i1.pp116-122
- Scopus ID
- 85027711508
- ISSN
- 25024752
- Authors
- 3
- Open access
- Yes
- Citations
- 16
- International co-authorship
- No
- Co-author countries
- IN
Classification
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UN Sustainable Development Goals
3 Ensure healthy lives and promote well-being for all at all ages
Develops MRI denoising algorithm combining sparse representation and curvelet transform with variance stabilization for improved image quality in magnetic resonance imaging.
- Moderate confidence
- The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-3.2 Digital technology and artificial intelligence
Proposes advanced image processing methodology for medical diagnostics, improving image quality and analysis in healthcare imaging applications.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
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- 1
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Citing this record
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KIIT Deemed to be University. “MRI denoising using sparse based curvelet transform with variance stabilizing transformation framework”. Kortex.