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researcher

E. Lukaschuk

4 papers hereh-index 273.6k citations100 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
  • cs.CV2
  • eess.IV2

identity via Semantic Scholar / OpenAlex

activity
20182020
most citedFully Automated Myocardial Strain Estimation from CMR Tagged Images using a Deep Learning Framework in the UK Biobank

48 citations · 49 across the 2 of their papers we have counts for

collaborators
Showing 2019Show all

2 papers · 1 filter

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…

cs.CV2019★ 1 cited

Automated Quality Control in Image Segmentation: Application to the UK Biobank Cardiac MR Imaging Study

Robert Robinson, Vanya V. Valindria, Wenjia Bai +19

Background: The trend towards large-scale studies including population imaging poses new challenges in terms of quality control (QC). This is a particular issue when automatic proc…

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