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D. Medak

1 paper here

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  • middle author1

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

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  • eess.IV1

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most citedGenerative adversarial network with object detector discriminator for enhanced defect detection on ultrasonic B-scans

63 citations · 63 across the 1 of their papers we have counts for

collaborators

1 paper

eess.IV2021★ 63 cited

Generative adversarial network with object detector discriminator for enhanced defect detection on ultrasonic B-scans

Luka Posilović, Duje Medak, Marko Subasic +2

Non-destructive testing is a set of techniques for defect detection in materials. While the set of imaging techniques are manifold, ultrasonic imaging is the one used the most. The…

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