🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Patrick Liebig

Siemens (Germany)

ORCID: 0000-0001-7342-3715

Also affiliated with Siemens Healthcare (United States), Siemens Healthineers (Germany)

MedicineMaterials 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: “Unsupervised deep learning with convolutional neural networks for static parallel transmit design: A retrospective study”.

Unsupervised deep learning with convolutional neural networks for static parallel transmit design: A retrospective study

Magnetic Resonance in Medicine(2024)10.1002/mrm.30014

N/A

0DataRank · unranked

11 citations

Patrick Liebig, Ömer Burak Demirel, Jürgen Herrler, Armin M. Nagel, Kâmil Uǧurbil +2 more

Accelerated diffusion-weighted magnetic resonance imaging at 7 T: Joint reconstruction for shift-encoded navigator-based interleaved echo planar imaging (JETS-NAViEPI)

Imaging Neuroscience(2024)10.1162/imag_a_00085

N/A

0DataRank · unranked

3 citations

Patrick Liebig, Robin M. Heidemann, Frederik B. Laun, Florian Knöll, Zhengguo Tan

Towards Fast Hard-Constrained Parallel Transmit Design in Ultrahigh Field MRI with Physics-Driven Neural Networks

PubMed(2024)10.1109/isbi56570.2024.10635855

N/A

0DataRank · unranked

1 citations

Jürgen Herrler, Patrick Liebig, Ömer Burak Demirel, Armin M. Nagel, Mingyi Hong +4 more