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M. Gaeta

3 papers hereh-index 394.5k citations142 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • physics.med-ph2
  • q-bio.TO1
same name
  • M. Gaeta — 2 papers, h 2
  • M. Gaeta — 1 paper, h 36
  • M. Gaeta — 1 paper, h 29

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20162020
most citedQuantitative MRI molecular imaging in the evaluation of early post mortem changes in muscles. A feasibility study on a pig phantom

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

physics.med-ph2020

Pipeline for Advanced Contrast Enhancement (PACE) of chest X-ray in evaluating COVID-19 patients by combining bidimensional empirical mode decomposition and CLAHE

Giulio Siracusano, Aurelio La Corte, Michele Gaeta +3

COVID-19 is a new pulmonary disease which is driving stress to the hospitals due to the large number of cases worldwide. Imaging of lungs can play a key role in monitoring of the h…

q-bio.TO2019★ 1 cited

Quantitative MRI molecular imaging in the evaluation of early post mortem changes in muscles. A feasibility study on a pig phantom

Daniela Sapienza, Alessio Asmundo, Salvatore Silipigni +7

Estimating early postmortem interval EPI is a difficult task in daily forensic activity due to limitations of accurate and reliable methods. The aim of the present work is to descr…

physics.med-ph2016

On the R2* Relaxometry in Complex Multi-Peak Multi-Echo Chemical Shift-Based Water-Fat Quantification: Applications to the Neuromuscular Diseases

G. Siracusano, A. La Corte, C. Milazzo +3

Purpose: Investigation of the feasibility of the R2* mapping techniques by using latest theoretical models corrected for confounding factors and optimized for signal to noise ratio…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.