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researcher

M. Eijnatten

2 papers here

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

author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG1
  • eess.IV1

identity via Semantic Scholar / OpenAlex

most citedParallel-beam X-ray CT datasets of apples with internal defects and label balancing for machine learning

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2020★ 1 cited

Parallel-beam X-ray CT datasets of apples with internal defects and label balancing for machine learning

Sophia Bethany Coban, Vladyslav Andriiashen, Poulami Somanya Ganguly +2

We present three parallel-beam tomographic datasets of 94 apples with internal defects along with defect label files. The datasets are prepared for development and testing of data-…

eess.IV2020

3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learning

Maureen van Eijnatten, Leonardo Rundo, K. Joost Batenburg +7

This study investigates the use of the unsupervised deep learning framework VoxelMorph for deformable registration of longitudinal abdominopelvic CT images acquired in patients wit…

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