Thomas A. Lasko

Also affiliated with Vanderbilt University Medical Center

Computer ScienceMedicineBiochemistry, Genetics and Molecular Biology

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

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 16 papers. Top paper: “AI Body Composition in Lung Cancer Screening: Added Value Beyond Lung Cancer Detection”.

AI Body Composition in Lung Cancer Screening: Added Value Beyond Lung Cancer Detection

Radiology(2023)10.1148/radiol.222937

N/A

2.4DataRank · unranked

67 citations

Mirza S. Khan, Thomas Li, Riqiang Gao, James G. Terry, Yuankai Huo +6 more

SynTEG: a framework for temporal structured electronic health data simulation

Journal of the American Medical Informatics Association(2020)10.1093/jamia/ocaa262

N/A

0DataRank · unranked

61 citations

Chao Yan, Thomas A. Lasko, Jimeng Sun, Bradley Malin, Ziqi Zhang

Heart failure clinical care analysis uncovers risk reduction opportunities for preserved ejection fraction subtype

Scientific Reports(2021)10.1038/s41598-021-97831-1

N/A

0DataRank · unranked

2 citations

Nataraja Sarma Vaitinidin, Eric Farber‐Eger, Dan M. Roden, Thomas A. Lasko, Quinn S. Wells +2 more

Reducing uncertainty in cancer risk estimation for patients with indeterminate pulmonary nodules using an integrated deep learning model

Computers in Biology and Medicine(2022)10.1016/j.compbiomed.2022.106113

N/A

0DataRank · unranked

21 citations

Thomas Li, Yucheng Tang, Kaiwen Xu, Mirza S. Khan, Michael N. Kammer +8 more

UNesT: Local spatial representation learning with hierarchical transformer for efficient medical segmentation

Medical Image Analysis(2023)10.1016/j.media.2023.102939

N/A

0DataRank · unranked

103 citations

Qi Yang, Yinchi Zhou, Leon Y. Cai, Riqiang Gao, Ho Hin Lee +10 more

Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures from Routine EHRs for Pulmonary Nodule Classification

Lecture notes in computer science(2023)10.1007/978-3-031-43895-0_61

N/A

0DataRank · unranked

17 citations

John M. Still, Kaiwen Xu, Ho Hin Lee, Leon Y. Cai, Aravind R. Krishnan +9 more

Time-distance vision transformers in lung cancer diagnosis from longitudinal computed tomography

PubMed(2023)10.1117/12.2653911

N/A

0DataRank · unranked

16 citations

Kaiwen Xu, Riqiang Gao, Yucheng Tang, Thomas A. Lasko, Fabien Maldonado +3 more

Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures From Routine EHRs for Pulmonary Nodule Classification

arXiv (Cornell University)(2023)10.48550/arxiv.2304.02836

N/A

0DataRank · unranked

0 citations

John M. Still, Kaiwen Xu, Ho Hin Lee, Leon Y. Cai, Aravind R. Krishnan +9 more

Leveraging explainable artificial intelligence to optimize clinical decision support

Journal of the American Medical Informatics Association(2024)10.1093/jamia/ocae019

N/A

0DataRank · unranked

36 citations

Allison B. McCoy, Josh F. Peterson, Thomas A. Lasko, Dean F. Sittig, Scott D. Nelson +7 more

Curating retrospective multimodal and longitudinal data for community cohorts at risk for lung cancer

Cancer Biomarkers(2024)10.3233/cbm-230340

N/A

0DataRank · unranked

1 citations

Kaiwen Xu, Neil C. Chada, Heidi Chen, Michael Knight, Sanja Antic +5 more

No winners: Performance of lung cancer prediction models depends on screening-detected, incidental, and biopsied pulmonary nodule use cases

arXiv (Cornell University)(2024)10.48550/arxiv.2405.10993

N/A

0DataRank · unranked

0 citations

Kaiwen Xu, Aravind Krishnan, Riqiang Gao, Michael N. Kammer, Sanja Antic +12 more

Performance of Lung Cancer Prediction Models for Screening-detected, Incidental, and Biopsied Pulmonary Nodules

Radiology Artificial Intelligence(2025)10.1148/ryai.230506

N/A

0DataRank · unranked

5 citations

Kaiwen Xu, Aravind R. Krishnan, Riqiang Gao, Michael N. Kammer, Sanja Antic +12 more

A standard-based taxonomy of features that affect user response to clinical decision support alerts

BMC Medical Informatics and Decision Making(2025)10.1186/s12911-025-03231-0

N/A

0DataRank · unranked

1 citations

Allison B. McCoy, Dean F. Sittig, Josh F. Peterson, Thomas A. Lasko, Adam Wright +1 more

A data-driven approach to discover and quantify systemic lupus erythematosus etiological heterogeneity from electronic health records

PubMed(2025)10.48550/arxiv.2501.07206

N/A

0DataRank · unranked

0 citations

John M. Still, Jorge Gamboa, Eric V. Strobl, Charles Stein, Vivian K. Kawai +2 more

Detection of calibration drift in clinical prediction models to inform model updating

Journal of Biomedical Informatics(2020)10.1016/j.jbi.2020.103611

N/A

0DataRank · unranked

146 citations

Robert A. Greevy, Thomas A. Lasko, Colin G. Walsh, Michael E. Matheny, Sharon E. Davis

Lifespan Pancreas Morphology for Control vs Type 2 Diabetes using AI on Largescale Clinical Imaging

arXiv (Cornell University)(2025)10.48550/arxiv.2508.14878

N/A

0DataRank · unranked

0 citations

Chloe Cho, Trent Schwartz, Dong Su, Gaurav Rudravaram, Chenyu Gao +9 more