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

Maria Deprez

King's College London

ORCID: 0000-0002-2799-6077

Also affiliated with Imaging, Brain, and Neuropsychiatry, King's College School

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 6%percentile

0.241Author 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 →

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

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

Papers

Driven by 16 papers — median percentile 39. Top paper: “Functional MRI assessment of the lungs in fetuses that deliver very Preterm: An MRI pilot study”.

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

BOUNTI: Brain vOlumetry and aUtomated parcellatioN for 3D feTal MRI

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.04.18.537347

N/A

0DataRank · unranked

41 citations

Vanessa Kyriakopoulou, Antonios Makropoulos, Abi Fukami-Gartner, Daniel Cromb, Alice Davidson +15 more

BOUNTI: Brain vOlumetry and aUtomated parcellatioN for 3D feTal MRI

Research Portal (King's College London)(2023)10.7554/elife.88818.1

N/A

0DataRank · unranked

17 citations

Vanessa Kyriakopoulou, Antonios Makropoulos, Abi Fukami-Gartner, Daniel Cromb, Alice Davidson +15 more

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

0DataRank · unranked

14 citations

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

BOUNTI: Brain vOlumetry and aUtomated parcellatioN for 3D feTal MRI

(2023)10.7554/elife.88818

N/A

0DataRank · unranked

2 citations

Vanessa Kyriakopoulou, Antonios Makropoulos, Abi Fukami-Gartner, Daniel Cromb, Alice Davidson +15 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

Craniofacial phenotyping with fetal MRI: A feasibility study of 3D visualisation, segmentation, surface-rendered and physical models

medRxiv(2023)10.1101/2023.11.30.23299119

N/A

0DataRank · unranked

0 citations

Alena Uus, Leah De Souza, Robert Wright, Abi Fukami-Gartner, Gema Priego +10 more

Applications of interpretable deep learning in neuroimaging: A comprehensive review

Imaging Neuroscience(2024)10.1162/imag_a_00214

N/A

0DataRank · unranked

20 citations

Mariana da Silva, Faezeh Heidari, Irina Grigorescu, Simon Dahan, Emma C. Robinson +3 more

Craniofacial phenotyping with fetal MRI: a feasibility study of 3D visualisation, segmentation, surface-rendered and physical models

BMC Medical Imaging(2024)10.1186/s12880-024-01230-7

N/A

0DataRank · unranked

7 citations

Alena Uus, Leah De Souza, Robert Wright, Abi Fukami-Gartner, Gema Priego +10 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

Automated Craniofacial Biometry with 3D T2w Fetal MRI

medRxiv(2024)10.1101/2024.08.13.24311408

N/A

0DataRank · unranked

1 citations

Alena Uus, Alexia Egloff, Aysha Luis, Sophie Arulkumaran, Abi Fukami-Gartner +13 more

Dynamic changes in subplate and cortical plate microstructure at the onset of cortical folding in vivo

eLife(2024)10.7554/elife.100895

N/A

0DataRank · unranked

1 citations

Daan Christiaens, Hyukjin Yun, Alena Uus, Lucilio Cordero‐Grande, Vyacheslav Karolis +11 more

Reviewer #2 (Public review): Dynamic changes in subplate and cortical plate microstructure at the onset of cortical folding in vivo

(2024)10.7554/elife.100895.1.sa0

N/A

0DataRank · unranked

0 citations

Daan Christiaens, Hyukjin Yun, Alena Uus, Lucilio Cordero-Grande, Vyacheslav Karolis +11 more

Adrenal volumes in fetuses delivering prior to 32 weeks' gestation: An MRI pilot study

Acta Obstetricia Et Gynecologica Scandinavica(2023)10.1111/aogs.14733

N/A

0DataRank · unranked

5 citations

Jana Hutter, Alena Uus, Elise du Crest, Alexia Egloff, Natalie Suff +9 more

7 Tesla fMRI characterisation of the cortical-depth-dependent BOLD response in early human development

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.08.18.670552

N/A

0DataRank · unranked

2 citations

Philippa Bridgen, Elisabeth Pickles, Pierluigi Di Ciò, Lucy Billimoria, Ines Tomazinho +12 more