Matthew T Warkentin

ORCID

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 8

Top Venues

Thorax

Cancer research

JCO clinical cancer informatics

This page only lists publications with an associated author ORCID identifier.

Publications

Matthew T Warkentin, Hamad Al-Sawaihey, Stephen Lam, Geoffrey Liu, Brenda Diergaarde, Jian-Min Yuan, David O Wilson, Sukhinder Atkar-Khattra, Benjamin Grant, Yonathan Brhane, Elham Khodayari-Moez, Kiera R Murison, Martin C Tammemagi, Kieran R Campbell, Rayjean J Hung
Radiomics analysis to predict pulmonary nodule malignancy using machine learning approaches. Thorax 79 (4) (2024)
Matthew T Warkentin, Hamad Al-Sawaihey, Stephen Lam, Geoffrey Liu, Brenda Diergaarde, Jian-Min Yuan, David O Wilson, Sukhinder Atkar-Khattra, Benjamin Grant, Yonathan Brhane, Elham Khodayari-Moez, Kiera R Murison, Martin C Tammemagi, Kieran R Campbell, Rayjean J Hung
Radiomics analysis to predict pulmonary nodule malignancy using machine learning approaches. Thorax 79 (4) (2024)
Matthew T Warkentin, Hamad Al-Sawaihey, Stephen Lam, Geoffrey Liu, Brenda Diergaarde, Jian-Min Yuan, David O Wilson, Sukhinder Atkar-Khattra, Benjamin Grant, Yonathan Brhane, Elham Khodayari-Moez, Kiera R Murison, Martin C Tammemagi, Kieran R Campbell, Rayjean J Hung
Radiomics analysis to predict pulmonary nodule malignancy using machine learning approaches. Thorax (2024)
Matthew T Warkentin, Hamad Al-Sawaihey, Stephen Lam, Geoffrey Liu, Brenda Diergaarde, Jian-Min Yuan, David O Wilson, Sukhinder Atkar-Khattra, Benjamin Grant, Yonathan Brhane, Elham Khodayari-Moez, Kiera R Murison, Martin C Tammemagi, Kieran R Campbell, Rayjean J Hung
Radiomics analysis to predict pulmonary nodule malignancy using machine learning approaches. Thorax (2024)
Matthew T Warkentin, Hamad Al-Sawaihey, Stephen Lam, Geoffrey Liu, Brenda Diergaarde, Jian-Min Yuan, David O Wilson, Sukhinder Atkar-Khattra, Benjamin Grant, Yonathan Brhane, Elham Khodayari-Moez, Kiera R Murison, Martin C Tammemagi, Kieran R Campbell, Rayjean J Hung
Radiomics analysis to predict pulmonary nodule malignancy using machine learning approaches. Thorax 79 (4) (2024)
Matthew T Warkentin, Hamad Al-Sawaihey, Stephen Lam, Geoffrey Liu, Brenda Diergaarde, Jian-Min Yuan, David O Wilson, Sukhinder Atkar-Khattra, Benjamin Grant, Yonathan Brhane, Elham Khodayari-Moez, Kiera R Murison, Martin C Tammemagi, Kieran R Campbell, Rayjean J Hung
Radiomics analysis to predict pulmonary nodule malignancy using machine learning approaches. Thorax 79 (4) (2024)
Yucheng Zhang, Benjamin M M Grant, Andrew J Hope, Rayjean J Hung, Matthew T Warkentin, Andrew C L Lam, Reenika Aggawal, Maria Xu, Frances A Shepherd, Ming-Sound Tsao, Wei Xu, Mini Pakkal, Geoffrey Liu, Micheal C McInnis
Using Recurrent Neural Networks to Extract High-Quality Information From Lung Cancer Screening Computerized Tomography Reports for Inter-Radiologist Audit and Feedback Quality Improvement. JCO clinical cancer informatics 7 (2023)
Rayjean J Hung, Matthew T Warkentin, Yonathan Brhane, Nilanjan Chatterjee, David Chistopher Christiani, Maria Teresa Landi, Neil E Caporaso, Geoffrey Liu, Mattias J Johansson, Demetrius Albanes, Loic Le Marchand, Adonina Tardón, Gad Rennert, Stig E Bojesen, Chu Chen, John K Field, Lambertus A L M Kiemeney, Philip Lazarus, Shanbeth Zienolddiny, Stephen Lam, Angeline S Andrew, Susanne M Arnold, Melinda C Aldrich, Heike Bickeböller, Angela Risch, Matthew B Schabath, James D McKay, Paul J Brennan, Christopher Ian Amos
Assessing Lung Cancer Absolute Risk Trajectory Based on a Polygenic Risk Model. Cancer research 81 (6) (2021)

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Publication Activity (10 Years)

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Matthew T Warkentin