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researcher

M. Deprez

3 papers here

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

author position
  • middle author1
  • last author2

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

fields
  • eess.IV2
  • physics.med-ph1

identity via Semantic Scholar / OpenAlex

most citedInterpretable Convolutional Neural Networks for Preterm Birth Classification

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

collaborators

3 papers

eess.IV2020

Diffusion tensor driven image registration: a deep learning approach

Irina Grigorescu, Alena Uus, Daan Christiaens +6

Tracking microsctructural changes in the developing brain relies on accurate inter-subject image registration. However, most methods rely on either structural or diffusion data to…

eess.IV2019★ 2 cited

Interpretable Convolutional Neural Networks for Preterm Birth Classification

Irina Grigorescu, Lucilio Cordero-Grande, A David Edwards +3

The use of convolutional neural networks (CNNs) for classification tasks has become dominant in various medical imaging applications. At the same time, recent advances in interpret…

physics.med-ph2019★ 1 cited

In utero diffusion MRI: challenges, advances, and applications

Daan Christiaens, Paddy J. Slator, Lucilio Cordero-Grande +6

In utero diffusion MRI provides unique opportunities to non-invasively study the microstructure of tissue during fetal development. A wide range of developmental processes, such as…

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