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researcher

M. Rutherford

4 papers hereh-index 6104 citations68 works total

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

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • physics.med-ph3
  • eess.IV1
same name
  • M. Rutherford — 10 papers, h 88
  • M. Rutherford — 2 papers, h 2
  • M. Rutherford — 2 papers, h 11
  • M. Rutherford — 2 papers, h 11
  • M. Rutherford — 2 papers, h 3
  • M. Rutherford — 1 paper, h 28

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

most citedFully automated planning for anatomical fetal brain MRI on 0.55T

2 citations · 3 across the 4 of their papers we have counts for

collaborators
Showing physics.med-phShow all

3 papers · 1 filter

physics.med-ph2025

Real-time MRI-based fetal femur length measurement

Johannes Barcsay, Sara Neves Silva, Jordina Aviles Verdera +4

Purpose: To develop and evaluate a real-time method for automatic planning and measurement of fetal femur length - an important indicator of antenatal growth - during MRI. While ro…

physics.med-ph2024★ 1 cited

AutOmatic floW planning for fetaL MRI (OWL)

Sara Neves Silva, Tomas Woodgate, Sarah McElroy +11

Two subsequent deep learning networks, one localizing the fetal chest and one identifying a set of landmarks on a coronal whole-uterus balanced steady-state free precession scan, w…

physics.med-ph2024★ 2 cited

Fully automated planning for anatomical fetal brain MRI on 0.55T

Sara Neves Silva, Sarah McElroy, Jordina Aviles Verdera +11

Purpose: Widening the availability of fetal MRI with fully automatic real-time planning of radiological brain planes on 0.55T MRI. Methods: Deep learning-based detection of key bra…

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