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

Yangming Ou

Boston Children's Hospital

ORCID: 0000-0002-7726-6208

Also affiliated with Harvard University

Computer ScienceMedicineNeuroscience

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
2.8Author DataRank

Indexed papers

5in 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 5 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.

BOston Neonatal Brain Injury Dataset for Hypoxic Ischemic Encephalopathy (BONBID-HIE): Part I. MRI and Manual Lesion Annotation

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.06.30.546841
Top 17%
1.2DataRank
Top 17%15 citations

Yanan Song, Sara V. Bates, Rebecca J. Weiss, Anna N. Foster, Camilo Jaimes Cobos +6 more

Papers

Driven by 21 papers — median percentile 61. Top paper: “Infant FreeSurfer: An automated segmentation and surface extraction pipeline for T1-weighted neuroimaging data of infants 0–2 years”.

Infant FreeSurfer: An automated segmentation and surface extraction pipeline for T1-weighted neuroimaging data of infants 0–2 years

NeuroImage(2020)10.1016/j.neuroimage.2020.116946
N/A
4.2DataRank · unranked
213 citations

Juan Eugenio Iglesias, Yangming Ou, P. Ellen Grant, Bruce Fischl, Lilla Zöllei

BOston Neonatal Brain Injury Dataset for Hypoxic Ischemic Encephalopathy (BONBID-HIE): Part I. MRI and Manual Lesion Annotation

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.06.30.546841
Top 17%
1.2DataRank
Top 17%15 citations

Yanan Song, Sara V. Bates, Rebecca J. Weiss, Anna N. Foster, Camilo Jaimes Cobos +6 more

Voxelwise and Regional Brain Apparent Diffusion Coefficient Changes on MRI from Birth to 6 Years of Age

Radiology(2020)10.1148/radiol.2020202279
Top 22%
0.926DataRank
Top 22%27 citations

Randy L. Gollub, Sara V. Bates, Rebecca J. Weiss, Shawn N. Murphy, P. Ellen Grant +2 more

BOston Neonatal Brain Injury Data for Hypoxic Ischemic Encephalopathy (BONBID-HIE): I. MRI and Lesion Labeling

Scientific Data(2025)10.1038/s41597-024-03986-7
Top 39%
0.496DataRank
Top 39%15 citations

Yanan Song, Sara V. Bates, Rebecca J. Weiss, Anna N. Foster, Camilo Jaimes +6 more

Human Fetal Brain Magnetic Resonance Imaging (MRI) Tells Future Emergence of Autism Spectrum Disorders

The FASEB Journal(2022)10.1096/fasebj.2022.36.s1.r2353
N/A
0.400DataRank · unranked
5 citations

Yurui Guo, Henry A. Feldman, Yangming Ou, Harrison Dieuveuil, Nicole Baumer +3 more

Autism-associated brain differences can be observed in utero using MRI

Cerebral Cortex(2024)10.1093/cercor/bhae117
N/A
0.345DataRank · unranked
9 citations

Yurui Guo, Henry A. Feldman, Yangming Ou, José Luis Alatorre Warren, Harrison Dieuveuil +4 more

Localizing central swallowing functions by combining non-invasive brain stimulation with neuroimaging

Brain stimulation(2020)10.1016/j.brs.2020.06.003
N/A
0.235DataRank · unranked
2 citations

Marziye Eshghi, Sheraz Khan, Qiyuan Tian, Juho Joutsa, Yangming Ou +6 more

Data harmonization framework for neonatal hypoxic-ischemic encephalopathy studies

JAMIA Open(2025)10.1093/jamiaopen/ooaf086
Top 78%
0.104DataRank
Top 78%1 citations

Anna N. Foster, Scott A. McDonald, Rutvi Vyas, Azra A. Ashraf, Rina Bao +38 more

Retrospective analysis of presymptomatic treatment in Sturge–Weber syndrome

Annals of the Child Neurology Society(2024)10.1002/cns3.20058
N/A
0DataRank · unranked
16 citations

Isabelle Iannotti, Eric H. Kossoff, T. Andrew Zabel, Bernard A. Cohen, Yangming Ou +3 more

AGE2HIE: Transfer Learning from Brain Age to Predicting Neurocognitive Outcome for Infant Brain Injury

arXiv (Cornell University)(2024)10.48550/arxiv.2411.05188
N/A
0DataRank · unranked
0 citations

Sheng He, P. Ellen Grant, Yangming Ou, Rina Bao

PARADISE: Personalized and regional adaptation for HIE disease identification and segmentation

Medical Image Analysis(2025)10.1016/j.media.2024.103419
N/A
0DataRank · unranked
5 citations

Rebecca J. Weiss, Sara V. Bates, Yanan Song, Sheng He, Jingpeng Li +5 more

AGE2HIE: Transfer Learning from Brain Age to Predicting Neurocognitive Outcome for Infant Brain Injury

(2025)10.1109/isbi60581.2025.10980747
N/A
0DataRank · unranked
2 citations

Sheng He, P. Ellen Grant, Yangming Ou, Rina Bao

Machine Learning to Infer Neurocognitive Testing Scores Among Adolescents and Young Adults with Congenital Heart Disease

Research Square(2025)10.21203/rs.3.rs-6787532/v1
N/A
0DataRank · unranked
0 citations

Sheng He, Heather Adams, Evdokia Anagnostou, David C. Bellinger, Martina Brueckner +19 more

BONBID-HIE 2023: Lesion Segmentation Challenge in BOston Neonatal Brain Injury Data for Hypoxic Ischemic Encephalopathy

IEEE Transactions on Medical Imaging(2025)10.1109/tmi.2025.3638977
Top 100%
0DataRank
Top 100%0 citations

Anna N. Foster, Yanan Song, Rutvi Vyas, Ankush Kesri, Imad Eddine Toubal +26 more

Multi-channel attention-fusion neural network for brain age estimation: Accuracy, generality, and interpretation with 16,705 healthy MRIs across lifespan

Medical Image Analysis(2021)10.1016/j.media.2021.102091
N/A
0DataRank · unranked
85 citations

Diana Pereira, Juan David Perez, Randy L. Gollub, Shawn N. Murphy, Sanjay P. Prabhu +5 more

Optimal Method for Fetal Brain Age Prediction Using Multiplanar Slices From Structural Magnetic Resonance Imaging

Frontiers in Neuroscience(2021)10.3389/fnins.2021.714252
N/A
0DataRank · unranked
28 citations

Hyuk Jin Yun, Gilsoon Park, Seonggyu Kim, Yangming Ou, Lana Vasung +10 more

Segmentation ability map: Interpret deep features for medical image segmentation

Medical Image Analysis(2022)10.1016/j.media.2022.102726
N/A
0DataRank · unranked
34 citations

Yanfang Feng, P. Ellen Grant, Yangming Ou, Sheng He

Study protocol: retrospectively mining multisite clinical data to presymptomatically predict seizure onset for individual patients with Sturge-Weber

BMJ Open(2022)10.1136/bmjopen-2021-053103
N/A
0DataRank · unranked
10 citations

Anna Pinto, Doris Lin, Anne M. Comi, Yangming Ou, Pooja Vedmurthy

Challenges of implementing computer-aided diagnostic models for neuroimages in a clinical setting

npj Digital Medicine(2023)10.1038/s41746-023-00868-x
N/A
0DataRank · unranked
48 citations

Esther E. Bron, Rose Bruffaerts, Yangming Ou, Juan Eugenio Iglesias, Randy L. Gollub +2 more

Human-to-monkey transfer learning identifies the frontal white matter as a key determinant for predicting monkey brain age

Frontiers in Aging Neuroscience(2023)10.3389/fnagi.2023.1249415
N/A
0DataRank · unranked
5 citations

Yi Guan, Chia Hsin Cheng, Tara L. Moore, Jennifer I. Luebke, Ronald Killiany +4 more

Exploring the psychological impact of the 2022 SARS‐CoV‐2 Omicron variant outbreak in China

General Psychiatry(2023)10.1136/gpsych-2023-101088
N/A
0DataRank · unranked
2 citations

Guirong Cheng, Feifei Hu, Chun-Li Li, Dan Liŭ, Juan Zhou +43 more