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researcher

V. Grau

16 papers hereh-index 395.4k citations185 works total

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

author position
  • middle author9
  • last author7

Across the 16 of 16 papers where every author was matched, so the position is known.

fields
  • eess.IV7
  • cs.CV5
  • eess.SP1
  • physics.comp-ph1
  • physics.med-ph1
  • q-bio.TO1
same name
  • V. Grau — 12 papers, h 7
  • V. Grau — 4 papers, h 4
  • V. Grau — 2 papers, h 7

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20142023
most citedSegment Anything Model for Medical Images?

502 citations · 594 across the 16 of their papers we have counts for

collaborators
Showing 2020Show all

3 papers · 1 filter

q-bio.TO2020★ 54 cited

Inference of ventricular activation properties from non-invasive electrocardiography

Julia Camps, Brodie Lawson, Christopher Drovandi +5

The realisation of precision cardiology requires novel techniques for the non-invasive characterisation of individual patients' cardiac function to inform therapeutic and diagnosti…

eess.IV2020★ 2 cited

A Deep learning Approach to Generate Contrast-Enhanced Computerised Tomography Angiography without the Use of Intravenous Contrast Agents

Anirudh Chandrashekar, Ashok Handa, Natesh Shivakumar +3

Contrast-enhanced computed tomography angiograms (CTAs) are widely used in cardiovascular imaging to obtain a non-invasive view of arterial structures. However, contrast agents are…

eess.IV2020★ 2 cited

A Deep Learning Approach to Automate High-Resolution Blood Vessel Reconstruction on Computerized Tomography Images With or Without the Use of Contrast Agent

Anirudh Chandrashekar, Ashok Handa, Natesh Shivakumar +3

Existing methods to reconstruct vascular structures from a computed tomography (CT) angiogram rely on injection of intravenous contrast to enhance the radio-density within the vess…

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