Thomas A Lasko

Thomas A Lasko

Vanderbilt University

H-index: 26

North America-United States

About Thomas A Lasko

Thomas A Lasko, With an exceptional h-index of 26 and a recent h-index of 23 (since 2020), a distinguished researcher at Vanderbilt University, specializes in the field of Computational medicine, machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Unsupervised Discovery of Clinical Disease Signatures Using Probabilistic Independence

Why do probabilistic clinical models fail to transport between sites

Leveraging explainable artificial intelligence to optimize clinical decision support

Mitigating pathogenesis for target discovery and disease subtyping

Sample-specific root causal inference with latent variables

AI body composition in lung cancer screening: added value beyond lung cancer detection

Generalizing clinical trials with convex hulls

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

Thomas A Lasko Information

University

Position

Associate Professor of Biomedical Informatics School of Medicine

Citations(all)

3450

Citations(since 2020)

1908

Cited By

2221

hIndex(all)

26

hIndex(since 2020)

23

i10Index(all)

41

i10Index(since 2020)

33

Email

University Profile Page

Vanderbilt University

Google Scholar

View Google Scholar Profile

Thomas A Lasko Skills & Research Interests

Computational medicine

machine learning

Top articles of Thomas A Lasko

Title

Journal

Author(s)

Publication Date

Unsupervised Discovery of Clinical Disease Signatures Using Probabilistic Independence

arXiv preprint arXiv:2402.05802

Thomas A Lasko

John M Still

Thomas Z Li

Marco Barbero Mota

William W Stead

...

2024/2/8

Why do probabilistic clinical models fail to transport between sites

Thomas A Lasko

Eric V Strobl

William W Stead

2024/3/1

Leveraging explainable artificial intelligence to optimize clinical decision support

Journal of the American Medical Informatics Association

Siru Liu

Allison B McCoy

Josh F Peterson

Thomas A Lasko

Dean F Sittig

...

2024/2/22

Mitigating pathogenesis for target discovery and disease subtyping

medRxiv

Eric Von Strobl

Thomas Anton Lasko

Eric R Gamazon

2023

Sample-specific root causal inference with latent variables

Eric Strobl

Thomas A Lasko

2023/8/10

AI body composition in lung cancer screening: added value beyond lung cancer detection

Radiology

Kaiwen Xu

Mirza S Khan

Thomas Z Li

Riqiang Gao

James G Terry

...

2023/7/25

Generalizing clinical trials with convex hulls

Eric Strobl

Thomas A Lasko

2023/8/10

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

Medical Image Analysis

Xin Yu

Qi Yang

Yinchi Zhou

Leon Y Cai

Riqiang Gao

...

2023/12/1

EHR-driven Machine-learning Model to Distinguish Benign From Malignant Pulmonary Nodules

TA Lasko

JM Still

TZ Li

BA Landman

BE Heideman

...

2023/5

Why Do Clinical Probabilistic Models Fail To Transport Between Sites?

arXiv preprint arXiv:2311.04787

Thomas A Lasko

Eric V Strobl

William W Stead

2023/11/8

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

Thomas Z Li

Kaiwen Xu

Riqiang Gao

Yucheng Tang

Thomas A Lasko

...

2023/4/3

Longitudinal multimodal transformer integrating imaging and latent clinical signatures from routine ehrs for pulmonary nodule classification

International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)

Thomas Z Li

John M Still

Kaiwen Xu

Ho Hin Lee

Leon Y Cai

...

2023/4/6

Identifying patient-specific root causes with the heteroscedastic noise model

Journal of Computational Science

Eric V Strobl

Thomas A Lasko

2023/9/1

Identifying patient-specific root causes of disease

Eric V Strobl

Thomas A Lasko

2022/8/7

A Comparative Study of Confidence Calibration in Deep Learning: From Computer Vision to Medical Imaging

arXiv preprint arXiv:2206.08833

Riqiang Gao

Thomas Li

Yucheng Tang

Zhoubing Xu

Michael Kammer

...

2022/6/17

POS0114 COMPUTATIONAL IDENTIFICATION OF SLE PATIENT RECORDS USING DATA-DRIVEN CLINICAL FINGERPRINTS

M Barbero Mota

JL Gamboa

JM Still

CM Stein

VK Kawai

...

2022/6/1

pyPheWAS: a phenome-disease association tool for electronic medical record analysis

Neuroinformatics

Cailey I Kerley

Shikha Chaganti

Tin Q Nguyen

Camilo Bermudez

Laurie E Cutting

...

2022/4

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

Computers in biology and medicine

Riqiang Gao

Thomas Li

Yucheng Tang

Kaiwen Xu

Mirza Khan

...

2022/11/1

Characterizing Renal Structures with 3D Block Aggregate Transformers

arXiv preprint arXiv:2203.02430

Xin Yu

Yucheng Tang

Yinchi Zhou

Riqiang Gao

Qi Yang

...

2022/3/4

Diurnal variation in SARS-CoV-2 PCR test results: test accuracy may vary by time of day

Journal of biological rhythms

Candace D McNaughton

Nicholas M Adams

Carl Hirschie Johnson

Michael J Ward

Jonathan E Schmitz

...

2021/12

See List of Professors in Thomas A Lasko University(Vanderbilt University)