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

Kelly Payette

King's College London

ORCID: 0000-0001-7041-0150

Also affiliated with University Children's Hospital Zurich

MedicineComputer Science

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 5%percentile
0.570Author 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.

Functional assessment of brain development in fetuses that subsequently deliver very preterm: An MRI pilot study

Prenatal Diagnosis(2023)10.1002/pd.6498
Top 52%
0.329DataRank
Top 52%7 citations

Alena Uus, Megan Hall, Kelly Payette, Spyros Bakalis, Tomoki Arichi +4 more

Papers

Driven by 13 papers — median percentile 43. Top paper: “An Automated Pipeline for Quantitative T2* Fetal Body MRI and Segmentation at Low Field”.

An Automated Pipeline for Quantitative T2* Fetal Body MRI and Segmentation at Low Field

Lecture notes in computer science(2023)10.1007/978-3-031-43990-2_34
N/A
0.406DataRank · unranked
14 citations

Alena Uus, Jordina Aviles Verdera, Carla Avena Zampieri, Megan Hall, Lisa Story +7 more

Functional assessment of brain development in fetuses that subsequently deliver very preterm: An MRI pilot study

Prenatal Diagnosis(2023)10.1002/pd.6498
Top 52%
0.329DataRank
Top 52%7 citations

Alena Uus, Megan Hall, Kelly Payette, Spyros Bakalis, Tomoki Arichi +4 more

An Opportunity to Increase Collaborative Science in Fetal, Infant, and Toddler Neuroimaging

Biological Psychiatry(2022)10.1016/j.biopsych.2022.07.005
N/A
0.317DataRank · unranked
6 citations

Tomoki Arichi, Ezra Aydin, M. Catalina Camacho, Mirella Dapretto, Aiden Ford +27 more

Functional MRI assessment of the lungs in fetuses that deliver very Preterm: An MRI pilot study

European Journal of Obstetrics & Gynecology and Reproductive Biology(2023)10.1016/j.ejogrb.2023.12.015
Top 61%
0.241DataRank
Top 61%4 citations

Jana Hutter, Alena Uus, Maria Deprez, Kelly Payette, Megan Hall +8 more

An automated pipeline for quantitative T2* fetal body MRI and segmentation at low field

arXiv (Cornell University)(2023)10.48550/arxiv.2308.04903
N/A
0DataRank · unranked
1 citations

Alena Uus, Jordina Aviles Verdera, Carla Avena Zampieri, Megan Hall, Lisa Story +7 more

Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results

IEEE Transactions on Medical Imaging(2024)10.1109/tmi.2024.3485554
N/A
0DataRank · unranked
19 citations

Céline Steger, Roxane Licandro, Priscille De Dumast, Hongwei Li, Matthew J. Barkovich +62 more

Fetal body organ T2* relaxometry at low field strength (FOREST)

Medical Image Analysis(2024)10.1016/j.media.2024.103352
N/A
0DataRank · unranked
6 citations

Alena Uus, Jordina Aviles Verdera, Megan Hall, Alexia Egloff, Maria Deprez +6 more

T2* relaxometry of fetal brain structures using low‐field (0.55T) MRI

Magnetic Resonance in Medicine(2024)10.1002/mrm.30409
N/A
0DataRank · unranked
5 citations

Alena Uus, Ella Kollstad, Jordina Aviles Verdera, Dario Gallo, Megan Hall +5 more

Multi-Center Fetal Brain Tissue Annotation (FeTA) Challenge 2022 Results

White Rose Research Online (University of Leeds, The University of Sheffield, University of York)(2024)10.48550/arxiv.2402.09463
N/A
0DataRank · unranked
0 citations

Céline Steger, Roxane Licandro, Priscille de Dumast, Hongwei Li, Matthew J. Barkovich +62 more

Comprehensive assessment of uterine contractility using a large database of dynamic T2∗ studies

Placenta(2025)10.1016/j.placenta.2025.07.078
N/A
0DataRank · unranked
5 citations

Kelly Payette, Megan Hall, Chris Bradshaw, Lisa Story, Simi Bansal +6 more

Why is the Winner the Best?

Amsterdam UMC (VU Amsterdam) - Institutional Repository(2023)10.1109/cvpr52729.2023.01911
N/A
0DataRank · unranked
6 citations

Andreas Reinke, Vivienn Weru, Minu D. Tizabi, Fabian Isensee, Thomas Adler +95 more

3D T2w fetal body MRI: automated organ volumetry, growth charts and population-averaged atlas

medRxiv(2023)10.1101/2023.05.31.23290751
N/A
0DataRank · unranked
5 citations

Megan Hall, Irina Grigorescu, Carla Avena Zampieri, Alexia Egloff Collado, Kelly Payette +8 more

Why is the winner the best?

arXiv (Cornell University)(2023)10.48550/arxiv.2303.17719
N/A
0DataRank · unranked
1 citations

Annika Reinke, Vivienn Weru, Minu D. Tizabi, Fabian Isensee, Tim Adler +95 more