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

Maya Varma

Stanford Medicine

ORCID: 0000-0003-0693-7753

Also affiliated with Artificial Intelligence in Medicine (Canada), Stanford University

NeuroscienceComputer ScienceMedicine

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 100%percentile

0Author 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.

ViLLA: Fine-Grained Vision-Language Representation Learning from Real-World Data

arXiv (Cornell University)(2023)10.48550/arxiv.2308.11194

Top 100%

0DataRank

Top 100%0 citations

Jean-Benoit Delbrouck, Sarah Hooper, Akshay Chaudhari, Curtis P. Langlotz, Maya Varma

Papers

Driven by 16 papers — median percentile 0. Top paper: “Feature replacement methods enable reliable home video analysis for machine learning detection of autism”.

Feature replacement methods enable reliable home video analysis for machine learning detection of autism

Scientific Reports(2020)10.1038/s41598-020-76874-w

N/A

0.596DataRank · unranked

52 citations

Peter Washington, Maya Varma, Kaitlyn Dunlap, Yordan Penev, Aaron Kline +2 more

Crowdsourced feature tagging for scalable and privacy-preserved autism diagnosis

medRxiv(2020)10.1101/2020.12.15.20248283

N/A

0.373DataRank · unranked

11 citations

Qandeel Tariq, Émilie Leblanc, Brianna Chrisman, Kaitlyn Dunlap, Aaron Kline +12 more

Merlin: A Computed Tomography Vision-Language Foundation Model and Dataset

arXiv (Cornell University)(2024)10.48550/arxiv.2406.06512

N/A

0.345DataRank · unranked

9 citations

Ashwin Kumar, Joseph Cohen, Liu, Jiaming, Liu, Longchao, Dave Van Veen +35 more

Improved Digital Therapy for Developmental Pediatrics Using Domain-Specific Artificial Intelligence: Machine Learning Study

JMIR Pediatrics and Parenting(2022)10.2196/26760

N/A

0DataRank · unranked

41 citations

Haik Kalantarian, John Kent, Arman Husic, Aaron Kline, Émilie Leblanc +14 more

ViLLA: Fine-Grained Vision-Language Representation Learning from Real-World Data

arXiv (Cornell University)(2023)10.48550/arxiv.2308.11194

Top 100%

0DataRank

Top 100%0 citations

Jean-Benoit Delbrouck, Sarah Hooper, Akshay Chaudhari, Curtis P. Langlotz, Maya Varma

Merlin: A Vision Language Foundation Model for 3D Computed Tomography

Research Square(2024)10.21203/rs.3.rs-4546309/v1

N/A

0DataRank · unranked

57 citations

Joseph Cohen, Ashwin Kumar, Dave Van Veen, Syed Jamal Safdar Gardezi, Magda Paschali +26 more

GREEN: Generative Radiology Report Evaluation and Error Notation

(2024)10.18653/v1/2024.findings-emnlp.21

N/A

0DataRank · unranked

33 citations

Justin Xu, Zhihong Chen, Maya Varma, Louis Blankemeier, Christian Bluethgen +6 more

A Vision-Language Foundation Model to Enhance Efficiency of Chest X-ray Interpretation

arXiv (Cornell University)(2024)10.48550/arxiv.2401.12208

N/A

0DataRank · unranked

25 citations

Maya Varma, Xu, Justin, Magdalini Paschali, Dave Van Veen, Andrew Johnston +18 more

GREEN: Generative Radiology Report Evaluation and Error Notation

arXiv (Cornell University)(2024)10.48550/arxiv.2405.03595

N/A

0DataRank · unranked

1 citations

Justin Xu, Zhihong Chen, Maya Varma, Louis Blankemeier, Christian Bluethgen +6 more

CheXalign: Preference fine-tuning in chest X-ray interpretation models without human feedback

arXiv (Cornell University)(2024)10.48550/arxiv.2410.07025

N/A

0DataRank · unranked

1 citations

Zhihong Chen, Sophie Ostmeier, Justin Xu, Maya Varma, Eduardo Pontes Reis +6 more

Automated Structured Radiology Report Generation

(2025)10.18653/v1/2025.acl-long.1301

N/A

0DataRank · unranked

2 citations

Justin Xu, J Moll, Alois Thomas, Zhihong Chen, Sophie Ostmeier +9 more

Expert-level validation of AI-generated medical text with scalable language models

Research Square(2025)10.21203/rs.3.rs-7041107/v1

N/A

0DataRank · unranked

1 citations

Vasiliki Bikia, Maya Varma, Nicole Chiou, Sophie Ostmeier, Arnav Singhvi +22 more

Precision Telemedicine through Crowdsourced Machine Learning: Testing Variability of Crowd Workers for Video-Based Autism Feature Recognition

Journal of Personalized Medicine(2020)10.3390/jpm10030086

N/A

0DataRank · unranked

58 citations

Émilie Leblanc, Kaitlyn Dunlap, Yordan Penev, Aaron Kline, Kelley Paskov +8 more

CheXalign: Preference fine-tuning in chest X-ray interpretation models without human feedback

(2025)10.18653/v1/2025.acl-long.1342

N/A

0DataRank · unranked

0 citations

Zhihong Chen, Sophie Ostmeier, Justin Xu, Maya Varma, Eduardo Pontes Reis +6 more

Crowdsourced privacy-preserved feature tagging of short home videos for machine learning ASD detection

Scientific Reports(2021)10.1038/s41598-021-87059-4

N/A

0DataRank · unranked

44 citations

Qandeel Tariq, Émilie Leblanc, Brianna Chrisman, Kaitlyn Dunlap, Aaron Kline +12 more

Identification of Social Engagement Indicators Associated With Autism Spectrum Disorder Using a Game-Based Mobile App: Comparative Study of Gaze Fixation and Visual Scanning Methods

Journal of Medical Internet Research(2022)10.2196/31830

N/A

0DataRank · unranked

50 citations

Peter Washington, Brianna Chrisman, Aaron Kline, Émilie Leblanc, Kelley Paskov +5 more