David M. Vock

Publication Activity (10 Years)

Years Active: 2015-2020
Publications (10 Years): 5

Top Topics

Machine Learning

Radiation Therapy

Top Venues

IEEE Trans. Vis. Comput. Graph.

J. Biomed. Informatics X

J. Biomed. Informatics

Data Min. Knowl. Discov.

Publications

Timothy Luciani, Andrew Wentzel, Baher Elgohari, Hesham Elhalawani, Abdallah Sherif Radwan Mohamed, Guadalupe Canahuate, David M. Vock, Clifton D. Fuller, G. Elisabeta Marai
A spatial neighborhood methodology for computing and analyzing lymph node carcinoma similarity in precision medicine. J. Biomed. Informatics X 5 (2020)
Andrew Wentzel, Peter Hanula, Timothy Luciani, Baher Elgohari, Hesham Elhalawani, Guadalupe Canahuate, David M. Vock, Clifton D. Fuller, G. Elisabeta Marai
Cohort-based T-SSIM Visual Computing for Radiation Therapy Prediction and Exploration. IEEE Trans. Vis. Comput. Graph. 26 (1) (2020)
G. Elisabeta Marai, Chihua Ma, Andrew Thomas Burks, Filippo Pellolio, Guadalupe Canahuate, David M. Vock, Abdallah Sherif Radwan Mohamed, Clifton David Fuller
Precision Risk Analysis of Cancer Therapy with Interactive Nomograms and Survival Plots. IEEE Trans. Vis. Comput. Graph. 25 (4) (2019)
David M. Vock, Julian Wolfson, Sunayan Bandyopadhyay, Gediminas Adomavicius, Paul E. Johnson, Gabriela Vazquez-Benitez, Patrick J. O'Connor
Adapting machine learning techniques to censored time-to-event health record data: A general-purpose approach using inverse probability of censoring weighting. J. Biomed. Informatics 61 (2016)
Sunayan Bandyopadhyay, Julian Wolfson, David M. Vock, Gabriela Vazquez-Benitez, Gediminas Adomavicius, Mohamed Elidrisi, Paul E. Johnson, Patrick J. O'Connor
Data mining for censored time-to-event data: a Bayesian network model for predicting cardiovascular risk from electronic health record data. Data Min. Knowl. Discov. 29 (4) (2015)