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researcher

Z. Akkus

2 papers hereh-index 274.1k citations65 works total

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

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • eess.IV1

identity via Semantic Scholar / OpenAlex

most citedInteractive segmentation of medical images through fully convolutional neural networks

62 citations · 62 across the 1 of their papers we have counts for

collaborators

2 papers

eess.IV2020

Fully Automated Mitral Inflow Doppler Analysis Using Deep Learning

Mohamed Y. Elwazir, Zeynettin Akkus, Didem Oguz +1

Echocardiography (echo) is an indispensable tool in a cardiologist's diagnostic armamentarium. To date, almost all echocardiographic parameters require time-consuming manual labeli…

cs.CV2019★ 62 cited

Interactive segmentation of medical images through fully convolutional neural networks

Tomas Sakinis, Fausto Milletari, Holger Roth +7

Image segmentation plays an essential role in medicine for both diagnostic and interventional tasks. Segmentation approaches are either manual, semi-automated or fully-automated. M…

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