Gabriele Lohmann

Max Planck Institute for Biological Cybernetics

Also affiliated with University of Tübingen

NeuroscienceMedicineComputer Science

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 3 papers. Top paper: “Jumping over baselines with new methods to predict activation maps from resting-state fMRI”.

Jumping over baselines with new methods to predict activation maps from resting-state fMRI

Scientific Reports(2021)10.1038/s41598-021-82681-8

N/A

0DataRank · unranked

6 citations

Klaus Scheffler, Gabriele Lohmann, Georg Martius, Eric Lacosse

Predicting intelligence from fMRI data of the human brain in a few minutes of scan time

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.03.18.435935

N/A

0DataRank · unranked

14 citations

Eric Lacosse, Thomas Ethofer, Vinod Kumar, Klaus Scheffler, Jürgen Jost +1 more

Improving the reliability of fMRI-based predictions of intelligence via semi-blind machine learning

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.11.03.565485

N/A

0DataRank · unranked

3 citations

Samuel Heczko, Lucas Mahler, Qi Wang, Julius Steiglechner, Vinod Kumar +4 more