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

Thomas Küstner

University Children's Hospital Tübingen

ORCID: 0000-0002-0353-4898

Also affiliated with Charité - Universitätsmedizin Berlin

MedicineEngineering

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 4 papers. Top paper: “International Retrospective Observational Study of Continual Learning for AI on Endotracheal Tube Placement from Chest Radiographs”.

International Retrospective Observational Study of Continual Learning for AI on Endotracheal Tube Placement from Chest Radiographs

NEJM AI(2025)10.1056/aioa2500522

N/A

0DataRank · unranked

0 citations

Agustina Saenz, Oishi Banerjee, Henrik Marklund, Xiaoman Zhang, Shreya Johri +59 more

Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging: Combining physics and machine learning for improved medical imaging

IEEE Signal Processing Magazine(2023)10.1109/msp.2022.3215288

N/A

0DataRank · unranked

111 citations

Thomas Küstner, Burhaneddin Yaman, Zhengnan Huang, Daniel Rueckert, Florian Knöll +2 more

Avoiding Shortcut-Learning by Mutual Information Minimization in Deep Learning-Based Image Processing

IEEE Access(2023)10.1109/access.2023.3289397

N/A

0DataRank · unranked

11 citations

Erick Cobos, Bin Yang, Sergios Gatidis, Thomas Küstner, Louisa Fay

Motion Mitigation Techniques for Abdominal and Cardiac MR Imaging

Journal of Magnetic Resonance Imaging(2025)10.1002/jmri.70209

N/A

0DataRank · unranked

4 citations

Gastao Lima da Cruz, Christopher Roy, Thomas Küstner, Eric Schrauben