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Erik Ostrowski

3 papers here

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

author position
  • first author2
  • middle author1

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

fields
  • eess.IV2
  • cs.CV1
ORCID 0000-0001-6861-3880

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 · 32 across the 3 of their papers we have counts for

collaborators

3 papers

eess.IV2024

Embedded Deployment of Semantic Segmentation in Medicine through Low-Resolution Inputs

Erik Ostrowski, Muhammad Shafique

When deploying neural networks in real-life situations, the size and computational effort are often the limiting factors. This is especially true in environments where big, expensi…

cs.CV2023★ 1 cited

Exploring Weakly Supervised Semantic Segmentation Ensembles for Medical Imaging Systems

Erik Ostrowski, Bharath Srinivas Prabakaran, Muhammad Shafique

Reliable classification and detection of certain medical conditions, in images, with state-of-the-art semantic segmentation networks, require vast amounts of pixel-wise annotation.…

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.