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

Lena Maier‐Hein

German Cancer Research Center

ORCID: 0000-0003-4910-9368

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 1%percentile
6.9Author DataRank

Indexed papers

1in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 1 indexed paper attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Top data-sharing exemplar

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

The Medical Segmentation Decathlon

Nature Communications(2022)10.1038/s41467-022-30695-9
Top 3%
6.9DataRank
Top 3%1226 citations

Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp‐Schneider, Bennett A. Landman +53 more

Papers

Driven by 16 papers — median percentile 97. Top paper: “Metrics reloaded: recommendations for image analysis validation”.

Metrics reloaded: recommendations for image analysis validation

Nature Methods(2024)10.1038/s41592-023-02151-z
N/A
9.2DataRank · unranked
411 citations

Annika Reinke, Patrick Godau, Minu D. Tizabi, Florian Buettner, Evangelia Christodoulou +68 more

The Medical Segmentation Decathlon

Nature Communications(2022)10.1038/s41467-022-30695-9
Top 3%
6.9DataRank
Top 3%1226 citations

Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp‐Schneider, Bennett A. Landman +53 more

Band selection for oxygenation estimation with multispectral/hyperspectral imaging

Biomedical Optics Express(2021)10.1364/boe.441214
N/A
0.921DataRank · unranked
19 citations

Fabian Isensee, Sebastian Wirkert, Anant Vemuri, Klaus Maier‐Hein, Baowei Fei +2 more

CheckList for EvaluAtion of Radiomics research (CLEAR): a step-by-step reporting guideline for authors and reviewers endorsed by ESR and EuSoMII

Insights into Imaging(2023)10.1186/s13244-023-01415-8
N/A
0.911DataRank · unranked
433 citations

Bettina Baeßler, Spyridon Bakas, Renato Cuocolo, Andriy Fedorov, Lena Maier‐Hein +8 more

Understanding metric-related pitfalls in image analysis validation

Nature Methods(2024)10.1038/s41592-023-02150-0
N/A
0.783DataRank · unranked
184 citations

Minu D. Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, Ali Emre Kavur +65 more

Metrics reloaded: Recommendations for image analysis validation

arXiv (Cornell University)(2022)10.48550/arxiv.2206.01653
N/A
0.621DataRank · unranked
62 citations

Annika Reinke, Patrick Godau, Minu D. Tizabi, Florian Buettner, Evangelia Christodoulou +69 more

Can we predict the severe course of COVID-19 – a systematic review and meta-analysis of indicators of clinical outcome?

medRxiv(2020)10.1101/2020.11.09.20228858
N/A
0.434DataRank · unranked
17 citations

A. Zimmer, Claudius Gottschalk, Juergen Grafeneder, Alexander Seitel, Lena Maier‐Hein +6 more

BIAS: Transparent reporting of biomedical image analysis challenges

Medical Image Analysis(2020)10.1016/j.media.2020.101796
N/A
0.345DataRank · unranked
9 citations

Annika Reinke, Michal Kozubek, Anne L. Martel, Tal Arbel, Matthias Eisenmann +9 more

RSNA-MICCAI Panel Discussion: 2. Leveraging the Full Potential of AI—Radiologists and Data Scientists Working Together

Radiology Artificial Intelligence(2021)10.1148/ryai.2021210248
N/A
0DataRank · unranked
3 citations

Lena Maier‐Hein, Ronald M. Summers, Charles E. Kahn, Marius George Linguraru

Common Limitations of Image Processing Metrics: A Picture Story

arXiv (Cornell University)(2021)10.48550/arxiv.2104.05642
N/A
0DataRank · unranked
87 citations

Minu D. Tizabi, Carole H. Sudre, Matthias Eisenmann, Tim Rädsch, Baumgartner, Michael +88 more

FUTURE-AI: International consensus guideline for trustworthy and deployable artificial intelligence in healthcare

arXiv (Cornell University)(2023)10.48550/arxiv.2309.12325
N/A
0DataRank · unranked
38 citations

Aasa Feragen, Abdul Joseph Fofanah, Alejandro F. Frangi, Alena Buyx, Anais Emelie +95 more

Surgical data science – from concepts toward clinical translation

Medical Image Analysis(2021)10.1016/j.media.2021.102306
N/A
0DataRank · unranked
39 citations

Matthias Eisenmann, Duygu Sarikaya, Keno März, Toby Collins, Anand Malpani +46 more

Can we predict the severe course of COVID-19 - a systematic review and meta-analysis of indicators of clinical outcome?

PLoS ONE(2021)10.1371/journal.pone.0255154
N/A
0DataRank · unranked
56 citations

A. Zimmer, Claudius Gottschalk, Juergen Grafeneder, Stephani Schmitz, Sara Kraker +10 more

Artificial Intelligence for Surgical Scene Understanding: A Systematic Review and Reporting Quality Meta-Analysis

medRxiv(2025)10.1101/2025.07.12.25330122
N/A
0DataRank · unranked
5 citations

Shubha Vasisht, Zheyuan Zhang, Iulia Barbur, Annika Reinke, Lena Maier‐Hein +3 more

Current validation practice undermines surgical AI development

PubMed(2025)10.48550/arxiv.2511.03769
N/A
0DataRank · unranked
1 citations

Z. Li, Minu D. Tizabi, André, Pascaline, Marcel Knopp, Rother, Mika M. +90 more

Federated Learning for Surgical Vision in Appendicitis Classification: Results of the FedSurg EndoVis 2024 Challenge

arXiv (Cornell University)(2025)10.48550/arxiv.2510.04772
N/A
0DataRank · unranked
0 citations

Hanna Hoffmann, Alexander C. Jenke, Oliver Lester Saldanha, Pfeiffer, Kevin, Weam Kanjo +14 more