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researcher

Désiré Sidibé

1 paper hereh-index 222.2k citations86 works total

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author position
  • middle author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • cs.CV1

identity via Semantic Scholar / OpenAlex

most citedMyocardial Infarction Quantification From Late Gadolinium Enhancement MRI Using Top-hat Transforms and Neural Networks

9 citations · 9 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CV2019★ 9 cited

Myocardial Infarction Quantification From Late Gadolinium Enhancement MRI Using Top-hat Transforms and Neural Networks

Ezequiel de la Rosa, Désiré Sidibé, Thomas Decourselle +3

Significance: Late gadolinium enhanced magnetic resonance imaging (LGE-MRI) is the gold standard technique for myocardial viability assessment. Although the technique accurately re…

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