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researcher

J. V. Manjón

5 papers hereh-index 333 citations5 works total

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

author position
  • first author1
  • middle author1
  • last author2

Across the 4 of 5 papers where every author was matched, so the position is known.

fields
  • eess.IV2
  • cs.CV1
  • physics.med-ph1
  • q-bio.QM1

identity via Semantic Scholar / OpenAlex

activity
20202026
most citedDeep ICE: A Deep learning approach for MRI Intracranial Cavity Extraction

6 citations · 16 across the 5 of their papers we have counts for

collaborators
Showing eess.IVShow all

2 papers · 1 filter

eess.IV2024★ 2 cited

DeepCERES: A Deep learning method for cerebellar lobule segmentation using ultra-high resolution multimodal MRI

Sergio Morell-Ortega, Marina Ruiz-Perez, Marien Gadea +7

This paper introduces a novel multimodal and high-resolution human brain cerebellum lobule segmentation method. Unlike current tools that operate at standard resolution ($1 \text{…

eess.IV2024★ 4 cited

DeepThalamus: A novel deep learning method for automatic segmentation of brain thalamic nuclei from multimodal ultra-high resolution MRI

Marina Ruiz-Perez, Sergio Morell-Ortega, Marien Gadea +7

The implication of the thalamus in multiple neurological pathologies makes it a structure of interest for volumetric analysis. In the present work, we have designed and implemented…

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