Oscar Esteban

About Oscar Esteban

Oscar Esteban, With an exceptional h-index of 19 and a recent h-index of 19 (since 2020), a distinguished researcher at Université de Lausanne, specializes in the field of brain imaging, neuroimaging, neuroinformatics, machine learning, MRI.

His recent articles reflect a diverse array of research interests and contributions to the field:

The past, present, and future of the brain imaging data structure (BIDS)

Maturation-informed synthetic Magnetic Resonance Images of the Developing Human Fetal Brain

Assessment of B1 field dynamics of rats BOLD fMRI using the wavelet transform

A consensus protocol for functional connectivity analysis in the rat brain

Reliability characterization of MRI measurements for analyses of brain networks on a single human

fMRIPrep: A robust preprocessing pipeline for functional MRI

Signal-to-noise ratio estimates predict head motion presence in T1-weighted MRI

Q’kay: a manager for the quality assessment of large neuroimaging studies

Oscar Esteban Information

University

Position

CHUV |

Citations(all)

7064

Citations(since 2020)

6261

Cited By

2612

hIndex(all)

19

hIndex(since 2020)

19

i10Index(all)

26

i10Index(since 2020)

25

Email

University Profile Page

Google Scholar

Oscar Esteban Skills & Research Interests

brain imaging

neuroimaging

neuroinformatics

machine learning

MRI

Top articles of Oscar Esteban

Maturation-informed synthetic Magnetic Resonance Images of the Developing Human Fetal Brain

bioRxiv

2024

Assessment of B1 field dynamics of rats BOLD fMRI using the wavelet transform

2023/1

Eilidh Macnicol
Eilidh Macnicol

H-Index: 0

Oscar Esteban
Oscar Esteban

H-Index: 10

Reliability characterization of MRI measurements for analyses of brain networks on a single human

Nature Methods (Registered Report Stage 1 AIP)

2023

fMRIPrep: A robust preprocessing pipeline for functional MRI

2023

Signal-to-noise ratio estimates predict head motion presence in T1-weighted MRI

2023/1

Q’kay: a manager for the quality assessment of large neuroimaging studies

2023/1/17

Thomas Sanchez
Thomas Sanchez

H-Index: 2

Oscar Esteban
Oscar Esteban

H-Index: 10

Quality Control in functional MRI studies with MRIQC and fMRIPrep

Frontiers in Neuroimaging

2023/1/12

Eilidh Macnicol
Eilidh Macnicol

H-Index: 0

Oscar Esteban
Oscar Esteban

H-Index: 10

FetMRQC: an open-source machine learning framework for multi-centric fetal brain MRI quality control

arXiv preprint arXiv:2311.04780

2023/11/8

FetMRQC: Automated Quality Control for Fetal Brain MRI

2023

A numerical variability approach to results stability tests and its application to neuroimaging

arXiv preprint arXiv:2307.01373

2023/7/3

A-Eye: Towards large-scale MRI automated segmentation of the eye

Investigative Ophthalmology & Visual Science

2023/6/20

A-Eye: Large-scale MRI automatic biomarkers extraction

Investigative Ophthalmology & Visual Science

2023/6/1

Quality control and nuisance regression of fMRI, looking out where signal should not be found

2022/1

Harnessing the multiverse of neuroimaging standard references

2022/12/1

Oscar Esteban
Oscar Esteban

H-Index: 10

TemplateFlow: FAIR-sharing of multi-scale, multi-species brain models

Nature Methods

2022/12

Open and reproducible neuroimaging: from study inception to publication

2022/11/1

Towards automated brain aneurysm detection in TOF-MRA: open data, weak labels, and anatomical knowledge

Neuroinformatics

2023/1

ASLPrep: a platform for processing of arterial spin labeled MRI and quantification of regional brain perfusion

Nature methods

2022/6

See List of Professors in Oscar Esteban University(Université de Lausanne)

Co-Authors

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