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

Ayis Pyrros

University of Illinois Urbana-Champaign

ORCID: 0000-0002-8108-4706

Also affiliated with University of Illinois Chicago, DuPage Medical Group

MedicineNeuroscienceHealth Professions

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 2%percentile
1.9Author DataRank

Indexed papers

2in 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 2 indexed papers 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.

Large-scale multi-center CT and MRI segmentation of pancreas with deep learning

Medical Image Analysis(2024)10.1016/j.media.2024.103382
Top 14%
1.5DataRank
Top 14%61 citations

Elif Keleş, Görkem Durak, Yavuz Taktak, Onkar Susladkar, Vandan Gorade +33 more

Papers

Driven by 8 papers — median percentile 68. Top paper: “Large-scale multi-center CT and MRI segmentation of pancreas with deep learning”.

Large-scale multi-center CT and MRI segmentation of pancreas with deep learning

Medical Image Analysis(2024)10.1016/j.media.2024.103382
Top 14%
1.5DataRank
Top 14%61 citations

Elif Keleş, Görkem Durak, Yavuz Taktak, Onkar Susladkar, Vandan Gorade +33 more

Large-Scale Multi-Center CT and MRI Segmentation of Pancreas with Deep Learning

arXiv (Cornell University)(2024)10.48550/arxiv.2405.12367
Top 50%
0.351DataRank
Top 50%4 citations

Elif Keleş, Görkem Durak, Yavuz Taktak, Onkar Susladkar, Vandan Gorade +33 more

Detecting Racial/Ethnic Health Disparities Using Deep Learning From Frontal Chest Radiography

Journal of the American College of Radiology(2022)10.1016/j.jacr.2021.09.010
N/A
0DataRank · unranked
15 citations

Jorge Mario Rodríguez-Fernández, Stephen M. Borstelmann, Judy Wawira Gichoya, Jeanne M. Horowitz, Brian Fornelli +5 more

Opportunistic detection of type 2 diabetes using deep learning from frontal chest radiographs

Nature Communications(2023)10.1038/s41467-023-39631-x
N/A
0DataRank · unranked
59 citations

Stephen M. Borstelmann, Ramana Mantravadi, Zachary Zaiman, K.J. Thomas, Brandon Price +20 more

Medicare Radiology Group Network Market Share: Recent Characteristics and Trends

medRxiv(2023)10.1101/2023.03.12.23287068
N/A
0DataRank · unranked
0 citations

Brian Fornelli, Jorge Mario Rodríguez-Fernández, Stephen M. Borstelmann, Nasir A. Siddiqui, William Galanter +1 more

AI recognition of patient race in medical imaging: a modelling study

The Lancet Digital Health(2022)10.1016/s2589-7500(22)00063-2
N/A
0DataRank · unranked
529 citations

Imon Banerjee, Ananth Reddy Bhimireddy, John L. Burns, Leo Anthony Celi, Li-Ching Chen +18 more

Biological age model using explainable automated CT-based cardiometabolic biomarkers for phenotypic prediction of longevity

Nature Communications(2025)10.1038/s41467-025-56741-w
N/A
0DataRank · unranked
27 citations

Michael W. Kattan, Matthew H. Lee, B. Dustin Pooler, Ayis Pyrros, Daniel Liu +4 more

Validation of a deep learning, value-based care model to predict mortality and comorbidities from chest radiographs in COVID-19

PLOS Digital Health(2022)10.1371/journal.pdig.0000057
N/A
0DataRank · unranked
15 citations

Jorge Rodriguez Fernandez, Stephen M. Borstelmann, Adam E. Flanders, Daniel R. Wenzke, Eric Hart +14 more