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

Shih-Cheng Huang

Stanford University

ORCID: 0000-0001-9882-833X
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
0.497Author 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 →

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.

INSPECT: A Multimodal Dataset for Pulmonary Embolism Diagnosis and Prognosis

arXiv (Cornell University)(2023)10.48550/arxiv.2311.10798
Top 39%
0.497DataRank
Top 39%7 citations

Zepeng Huo, Ethan Steinberg, Chia‐Chun Chiang, Matthew P. Lungren, Curtis P. Langlotz +4 more

Papers

Driven by 8 papers — median percentile 61. Top paper: “Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines”.

Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines

npj Digital Medicine(2020)10.1038/s41746-020-00341-z
N/A
0.991DataRank · unranked
739 citations

Anuj Pareek, Saeed Seyyedi, Imon Banerjee, Matthew P. Lungren, Shih-Cheng Huang

Multimodal fusion with deep neural networks for leveraging CT imaging and electronic health record: a case-study in pulmonary embolism detection

Scientific Reports(2020)10.1038/s41598-020-78888-w
N/A
0.830DataRank · unranked
252 citations

Anuj Pareek, Roham T. Zamanian, Imon Banerjee, Matthew P. Lungren, Shih-Cheng Huang

INSPECT: A Multimodal Dataset for Pulmonary Embolism Diagnosis and Prognosis

arXiv (Cornell University)(2023)10.48550/arxiv.2311.10798
Top 39%
0.497DataRank
Top 39%7 citations

Zepeng Huo, Ethan Steinberg, Chia‐Chun Chiang, Matthew P. Lungren, Curtis P. Langlotz +4 more

Self-supervised learning for medical image classification: a systematic review and implementation guidelines

npj Digital Medicine(2023)10.1038/s41746-023-00811-0
N/A
0DataRank · unranked
419 citations

Anuj Pareek, Malte Jensen, Matthew P. Lungren, Serena Yeung, Akshay Chaudhari +1 more

Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging

IEEE Transactions on Medical Imaging(2023)10.1109/tmi.2022.3233574
N/A
0DataRank · unranked
167 citations

Liangqiong Qu, Qingyue Wei, Shih-Cheng Huang, Liyue Shen, Daniel L. Rubin +3 more

A Systematic Review and Implementation Guidelines of Multimodal Foundation Models in Medical Imaging

Research Square(2025)10.21203/rs.3.rs-5537908/v1
N/A
0DataRank · unranked
8 citations

Malte Jensen, Serena Yeung-Levy, Matthew P. Lungren, Hoifung Poon, Akshay Chaudhari +1 more

PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging

npj Digital Medicine(2020)10.1038/s41746-020-0266-y
N/A
0DataRank · unranked
183 citations

Tanay Kothari, Imon Banerjee, Chris Chute, Robyn L. Ball, Norah Borus +12 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