Lea Baecker

NeuroscienceEnvironmental ScienceMedicine

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 6 papers. Top paper: “Neuroharmony: A new tool for harmonizing volumetric MRI data from unseen scanners”.

Neuroharmony: A new tool for harmonizing volumetric MRI data from unseen scanners

NeuroImage(2020)10.1016/j.neuroimage.2020.117127

N/A

0DataRank · unranked

90 citations

Cristina Scarpazza, Lea Baecker, Sandra Vieira, Walter Hugo Lopez Pinaya, Aiden Corvin +30 more

Normative modelling using deep autoencoders: a multi-cohort study on mild cognitive impairment and Alzheimer’s disease

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.02.10.931824

N/A

0DataRank · unranked

11 citations

Cristina Scarpazza, Rafael Garcia‐Dias, Sandra Vieira, Lea Baecker, Pedro F. da Costa +9 more

Brain age prediction: A comparison between machine learning models using region‐ and voxel‐based morphometric data

Human Brain Mapping(2021)10.1002/hbm.25368

N/A

0DataRank · unranked

117 citations

Jessica Dafflon, Pedro F. da Costa, Rafael Garcia‐Dias, Sandra Vieira, Cristina Scarpazza +5 more

Using normative modelling to detect disease progression in mild cognitive impairment and Alzheimer’s disease in a cross-sectional multi-cohort study

Scientific Reports(2021)10.1038/s41598-021-95098-0

N/A

0DataRank · unranked

83 citations

Cristina Scarpazza, Rafael Garcia‐Dias, Sandra Vieira, Lea Baecker, Pedro F. da Costa +7 more

Multivariate brain-behaviour associations in psychiatric disorders

Translational Psychiatry(2024)10.1038/s41398-024-02954-4

N/A

0DataRank · unranked

36 citations

Thomas A. W. Bolton, Mikkel Schöttner, Lea Baecker, André F. Marquand, Andrea Mechelli +2 more

Neurofind: using deep learning to make individualised inferences in brain-based disorders

Translational Psychiatry(2025)10.1038/s41398-025-03290-x

N/A

0DataRank · unranked

3 citations

Lea Baecker, Walter Hugo Lopez Pinaya, Rafael Garcia‐Dias, Cristina Scarpazza, Vince D. Calhoun +2 more