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

Matthew Li

University of Alberta

ORCID: 0000-0002-6207-4940

Also affiliated with Athinoula A. Martinos Center for Biomedical Imaging

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 3%percentile

1.8Author 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.

Analysis of Stroke Detection during the COVID-19 Pandemic Using Natural Language Processing of Radiology Reports

American Journal of Neuroradiology(2020)10.3174/ajnr.a6961

Top 12%

1.8DataRank

Top 12%41 citations

Min Lang, Francis Deng, Ken Chang, Karen Buch, Sandra Rincon +4 more

Papers

Driven by 14 papers — median percentile 88. Top paper: “Analysis of Stroke Detection during the COVID-19 Pandemic Using Natural Language Processing of Radiology Reports”.

Analysis of Stroke Detection during the COVID-19 Pandemic Using Natural Language Processing of Radiology Reports

American Journal of Neuroradiology(2020)10.3174/ajnr.a6961

Top 12%

1.8DataRank

Top 12%41 citations

Min Lang, Francis Deng, Ken Chang, Karen Buch, Sandra Rincon +4 more

COVID-19 Outpatient Screening: a Prediction Score for Adverse Events

medRxiv(2020)10.1101/2020.06.17.20134262

N/A

0.345DataRank · unranked

9 citations

Aayushee Jain, Michael J. Leone, Haitham Alabsi, Laura Brenner, Elissa Ye +22 more

CoVA: An Acuity Score for Outpatient Screening that Predicts Coronavirus Disease 2019 Prognosis

The Journal of Infectious Diseases(2020)10.1093/infdis/jiaa663

N/A

0DataRank · unranked

44 citations

Aayushee Jain, Michael J. Leone, Haitham Alabsi, Laura Brenner, Elissa Ye +22 more

Mesenchymal Stromal Cell Bioreactor for Ex Vivo Reprogramming of Human Immune Cells

Scientific Reports(2020)10.1038/s41598-020-67039-w

N/A

0DataRank · unranked

26 citations

Natalie Vaninov, Matthew Li, Sunny Nguyen, Maneet Singh, Peter Igo +6 more

Automated assessment of COVID-19 pulmonary disease severity on chest radiographs using convolutional Siamese neural networks

medRxiv(2020)10.1101/2020.05.20.20108159

N/A

0DataRank · unranked

32 citations

Nishanth Arun, Mishka Gidwani, Ken Chang, Francis Deng, Brent P. Little +8 more

Improvement and Multi-Population Generalizability of a Deep Learning-Based Chest Radiograph Severity Score for COVID-19

medRxiv(2020)10.1101/2020.09.15.20195453

N/A

0DataRank · unranked

14 citations

Nishanth Arun, Mehak Aggarwal, Sharut Gupta, Praveer Singh, Brent P. Little +11 more

Assessing the Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging

Radiology Artificial Intelligence(2021)10.1148/ryai.2021200267

N/A

0DataRank · unranked

277 citations

Nathan Gaw, Praveer Singh, Ken Chang, Mehak Aggarwal, Bryan Chen +8 more

Multi-Radiologist User Study for Artificial Intelligence-Guided Grading of COVID-19 Lung Disease Severity on Chest Radiographs

Academic Radiology(2021)10.1016/j.acra.2021.01.016

N/A

0DataRank · unranked

20 citations

Brent P. Little, Tarik K. Alkasab, Dexter P. Mendoza, Marc D. Succi, Jo-Anne O. Shepard +3 more

Severity of Chest Imaging is Correlated with Risk of Acute Neuroimaging Findings among Patients with COVID-19

American Journal of Neuroradiology(2021)10.3174/ajnr.a7032

N/A

0DataRank · unranked

13 citations

Matthew Li, Ke Jiang, Byung Chul Yoon, Dexter P. Mendoza, Efrén J. Flores +11 more

Automated Radiology-Arthroscopy Correlation of Knee Meniscal Tears Using Natural Language Processing Algorithms

Academic Radiology(2021)10.1016/j.acra.2021.01.017

N/A

0DataRank · unranked

13 citations

Francis Deng, Ken Chang, Jayashree Kalpathy–Cramer, Ambrose J. Huang, Matthew Li

Radiology Implementation Considerations for Artificial Intelligence (AI) Applied to COVID-19, From the AJR Special Series on AI Applications

American Journal of Roentgenology(2021)10.2214/ajr.21.26717

N/A

0DataRank · unranked

9 citations

Ken Chang, Xueyan Mei, Adam Bernheim, Michael Chung, Sharon Steinberger +3 more

Automated Assessment and Tracking of COVID-19 Pulmonary Disease Severity on Chest Radiographs Using Convolutional Siamese Neural Networks

Radiology Artificial Intelligence(2020)10.1148/ryai.2020200079

N/A

0DataRank · unranked

157 citations

Nishanth Arun, Mishka Gidwani, Ken Chang, Francis Deng, Brent P. Little +8 more

External COVID-19 Deep Learning Model Validation on ACR AI-LAB: It’s a Brave New World

Journal of the American College of Radiology(2022)10.1016/j.jacr.2022.03.013

N/A

0DataRank · unranked

4 citations

Matthew Li, Pauley Chea, Jeremy R. Wortman, Adam Medina, Jayashree Kalpathy–Cramer +2 more

Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging

npj Digital Medicine(2020)10.1038/s41746-020-0255-1

N/A

0DataRank · unranked

135 citations

Ken Chang, Ben Bearce, Connie Y. Chang, Ambrose J. Huang, J. Peter Campbell +9 more