◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

F. Aparici-Robles

3 papers hereh-index 7225 citations26 works total

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

author position
  • middle author2

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • eess.IV2
  • q-bio.QM1
same name
  • F. Aparici-Robles — 1 paper, h 6

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20202025
most citedDeep ICE: A Deep learning approach for MRI Intracranial Cavity Extraction

6 citations · 8 across the 3 of their papers we have counts for

collaborators

3 papers

eess.IV2025

Ultra-high resolution multimodal MRI densely labelled holistic structural brain atlas

José V. Manjón, Sergio Morell-Ortega, Marina Ruiz-Perez +16

In this paper, we introduce a novel structural holistic Atlas (holiAtlas) of the human brain anatomy based on multimodal and high-resolution MRI that covers several anatomical leve…

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{…

q-bio.QM2020★ 6 cited

Deep ICE: A Deep learning approach for MRI Intracranial Cavity Extraction

José V. Manjón, Jose E. Romero, Roberto Vivo-Hernando +4

Automatic methods for measuring normalized regional brain volumes from MRI data are a key tool to help in the objective diagnostic and follow-up of many neurological diseases. To e…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.