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researcher

J. Moon

3 papers here

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

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • eess.IV2
  • q-bio.QM1
same name
  • J. Moon — 16 papers, h 28
  • J. Moon — 11 papers, h 16
  • J. Moon — 6 papers, h 40
  • J. Moon — 1 paper, h 5
  • J. Moon — 1 paper, h 27
  • J. Moon — 1 paper

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 citedLandmark detection in Cardiac Magnetic Resonance Imaging Using A Convolutional Neural Network

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

collaborators

3 papers

eess.IV2020★ 1 cited

Landmark detection in Cardiac Magnetic Resonance Imaging Using A Convolutional Neural Network

Hui Xue, Jessica Artico, Marianna Fontana +3

Purpose: To develop a convolutional neural network (CNN) solution for robust landmark detection in cardiac MR images. Methods: This retrospective study included cine, LGE and T1 ma…

q-bio.QM2019

Automated Inline Analysis of Myocardial Perfusion MRI with Deep Learning

Hui Xue, Rhodri Davies, Louis AE Brown +6

Recent development of quantitative myocardial blood flow (MBF) mapping allows direct evaluation of absolute myocardial perfusion, by computing pixel-wise flow maps. Clinical studie…

eess.IV2019

Improving the generalizability of convolutional neural network-based segmentation on CMR images

Chen Chen, Wenjia Bai, Rhodri H. Davies +13

Convolutional neural network (CNN) based segmentation methods provide an efficient and automated way for clinicians to assess the structure and function of the heart in cardiac MR…

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