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researcher

Paul Hamelmann

1 paper here

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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
  • eess.IV1
ORCID 0000-0001-7023-9322

identity via Semantic Scholar / OpenAlex

most citedFPUS23: An Ultrasound Fetus Phantom Dataset with Deep Neural Network Evaluations for Fetus Orientations, Fetal Planes, and Anatomical Features

31 citations · 31 across the 1 of their papers we have counts for

collaborators

1 paper

eess.IV2023★ 31 cited

FPUS23: An Ultrasound Fetus Phantom Dataset with Deep Neural Network Evaluations for Fetus Orientations, Fetal Planes, and Anatomical Features

Bharath Srinivas Prabakaran, Paul Hamelmann, Erik Ostrowski +1

Ultrasound imaging is one of the most prominent technologies to evaluate the growth, progression, and overall health of a fetus during its gestation. However, the interpretation of…

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