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researcher

I. Irmakci

7 papers hereh-index 8120 citations11 works total

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

author position
  • first author3
  • middle author3

Across the 6 of 7 papers where every author was matched, so the position is known.

fields
  • eess.IV5
  • cs.CV2

identity via Semantic Scholar / OpenAlex

activity
20182022
most citedSemi-Supervised Deep Learning for Multi-Tissue Segmentation from Multi-Contrast MRI

19 citations · 53 across the 6 of their papers we have counts for

collaborators
Showing 2018Show all

1 paper · 1 filter

cs.CV2018★ 1 cited

A Novel Extension to Fuzzy Connectivity for Body Composition Analysis: Applications in Thigh, Brain, and Whole Body Tissue Segmentation

Ismail Irmakci, Sarfaraz Hussein, Aydogan Savran +7

Magnetic resonance imaging (MRI) is the non-invasive modality of choice for body tissue composition analysis due to its excellent soft tissue contrast and lack of ionizing radiatio…

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