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J. Keegan

16 papers hereh-index 458k citations220 works total

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

author position
  • middle author13
  • last author3

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

fields
  • cs.CV9
  • eess.IV5
  • cs.LG1
  • physics.med-ph1

identity via Semantic Scholar / OpenAlex

activity
20172021
most citedFully Automatic Segmentation and Objective Assessment of Atrial Scars for Longstanding Persistent Atrial Fibrillation Patients Using Late Gadolinium-Enhanced MRI

58 citations · 161 across the 16 of their papers we have counts for

collaborators
Showing 2021Show all

3 papers · 1 filter

eess.IV2021★ 10 cited

Adaptive Hierarchical Dual Consistency for Semi-Supervised Left Atrium Segmentation on Cross-Domain Data

Jun Chen, Heye Zhang, Raad Mohiaddin +4

Semi-supervised learning provides great significance in left atrium (LA) segmentation model learning with insufficient labelled data. Generalising semi-supervised learning to cross…

eess.IV2021★ 1 cited

JAS-GAN: Generative Adversarial Network Based Joint Atrium and Scar Segmentations on Unbalanced Atrial Targets

Jun Chen, Guang Yang, Habib Khan +7

Automated and accurate segmentations of left atrium (LA) and atrial scars from late gadolinium-enhanced cardiac magnetic resonance (LGE CMR) images are in high demand for quantifyi…

eess.IV2021★ 2 cited

Three-Dimensional Embedded Attentive RNN (3D-EAR) Segmentor for Left Ventricle Delineation from Myocardial Velocity Mapping

Mengmeng Kuang, Yinzhe Wu, Diego Alonso-Álvarez +4

Myocardial Velocity Mapping Cardiac MR (MVM-CMR) can be used to measure global and regional myocardial velocities with proved reproducibility. Accurate left ventricle delineation i…

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