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

Robert Siepmann

Universitätsklinikum Aachen

ORCID: 0000-0002-4608-5180

Also affiliated with RWTH Aachen University

Medicine

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: “Reconstruction of patient-specific confounders in AI-based radiologic image interpretation using generative pretraining”.

Reconstruction of patient-specific confounders in AI-based radiologic image interpretation using generative pretraining

Cell Reports Medicine(2024)10.1016/j.xcrm.2024.101713

N/A

0DataRank · unranked

7 citations

Laura Žigutytė, Luisa Huck, Marc Huppertz, Robert Siepmann, Yossi Gandelsman +7 more

Medical Slice Transformer: Improved Diagnosis and Explainability on 3D Medical Images with DINOv2

arXiv (Cornell University)(2024)10.48550/arxiv.2411.15802

N/A

0DataRank · unranked

2 citations

Firas Khader, Robert Siepmann, Tianyu Han, Jakob Nikolas Kather, Sven Nebelung +2 more

RadioRAG: Online Retrieval–Augmented Generation for Radiology Question Answering

Radiology Artificial Intelligence(2025)10.1148/ryai.240476

N/A

0DataRank · unranked

21 citations

Mahshad Lotfinia, Keno K. Bressem, Robert Siepmann, Lisa C. Adams, Dyke Ferber +5 more

Medical slice transformer for improved diagnosis and explainability on 3D medical images with DINOv2

Scientific Reports(2025)10.1038/s41598-025-09041-8

N/A

0DataRank · unranked

17 citations

Firas Khader, Robert Siepmann, Tianyu Han, Jakob Nikolas Kather, Sven Nebelung +2 more