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E. Pajaziti

3 papers hereh-index 690 citations18 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 3 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • physics.flu-dyn1
  • physics.med-ph1

identity via Semantic Scholar / OpenAlex

most citedDeep neural networks for fast acquisition of aortic 3D pressure and velocity flow fields

30 citations · 44 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2024★ 14 cited

Image2Flow: A hybrid image and graph convolutional neural network for rapid patient-specific pulmonary artery segmentation and CFD flow field calculation from 3D cardiac MRI data

Tina Yao, Endrit Pajaziti, Michael Quail +3

Computational fluid dynamics (CFD) can be used for evaluation of hemodynamics. However, its routine use is limited by labor-intensive manual segmentation, CFD mesh creation, and ti…

physics.med-ph2022

Automatic Segmentation of the Great Arteries for Computational Hemodynamic Assessment

Javier Montalt-Tordera, Endrit Pajaziti, Rod Jones +7

Background: Computational fluid dynamics (CFD) is increasingly used to assess blood flow conditions in patients with congenital heart disease (CHD). This requires patient-specific…

physics.flu-dyn2022★ 30 cited

Deep neural networks for fast acquisition of aortic 3D pressure and velocity flow fields

Endrit Pajaziti, Javier Montalt-Tordera, Claudio Capelli +4

Computational fluid dynamics (CFD) can be used to simulate vascular haemodynamics and analyse potential treatment options. CFD has shown to be beneficial in improving patient outco…

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