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

Suprosanna Shit

University of Zurich

ORCID: 0000-0003-4435-7207

Also affiliated with Technical University of Munich

MedicineComputer ScienceEngineering

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
7.2Author 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 Liver Tumor Segmentation Benchmark (LiTS)

Medical Image Analysis(2022)10.1016/j.media.2022.102680
Top 2%
7.2DataRank
Top 2%1181 citations

Patrick Ferdinand Christ, Hongwei Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis +95 more

Papers

Driven by 8 papers — median percentile 98. Top paper: “The Liver Tumor Segmentation Benchmark (LiTS)”.

The Liver Tumor Segmentation Benchmark (LiTS)

Medical Image Analysis(2022)10.1016/j.media.2022.102680
Top 2%
7.2DataRank
Top 2%1181 citations

Patrick Ferdinand Christ, Hongwei Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis +95 more

Deep Quality Estimation: Creating Surrogate Models for Human Quality Ratings

Zurich Open Repository and Archive (University of Zurich)(2022)10.48550/arxiv.2205.10355
N/A
0DataRank · unranked
0 citations

Ivan Ezhov, Lucas Fidon, Izabela Horvath, Ezequiel de la Rosa, John LaMaster +12 more

Are we using appropriate segmentation metrics? Identifying correlates of human expert perception for CNN training beyond rolling the DICE coefficient

The Journal of Machine Learning for Biomedical Imaging(2023)10.59275/j.melba.2023-dg1f
N/A
0DataRank · unranked
37 citations

Ivan Ezhov, Fabian Isensee, Fabian Balsiger, Christoph Berger, Maximilian Koerner +14 more

Panoptica -- instance-wise evaluation of 3D semantic and instance segmentation maps

arXiv (Cornell University)(2023)10.48550/arxiv.2312.02608
N/A
0DataRank · unranked
2 citations

Hendrik Möller, Josef A. Buchner, Ezequiel de la Rosa, Ivan Ezhov, Marcel Rosier +16 more

A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge

arXiv (Cornell University)(2024)10.48550/arxiv.2403.19425
N/A
0DataRank · unranked
8 citations

Mauricio Reyes, Sook‐Lei Liew, A. Hutton, Roland Wiest, Johannes Kaesmacher +53 more

QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge

arXiv (Cornell University)(2024)10.48550/arxiv.2405.18435
N/A
0DataRank · unranked
5 citations

Fernando Navarro, Ivan Ezhov, Amirhossein Bayat, Dhritiman Das, Florian Kofler +75 more

DeepISLES: a clinically validated ischemic stroke segmentation model from the ISLES'22 challenge

Nature Communications(2025)10.1038/s41467-025-62373-x
N/A
0DataRank · unranked
15 citations

Mauricio Reyes, Sook‐Lei Liew, A. Hutton, Roland Wiest, Johannes Kaesmacher +54 more

Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge

Nature Communications(2025)10.1038/s41467-025-60466-1
N/A
0DataRank · unranked
11 citations

Ujjwal Baid, Sarthak Pati, Akis Linardos, Brandon Edwards, Micah Sheller +95 more