Predicting Radiological Panel Opinions Using a Panel of Machine Learning Classifiers. - Dmitry Zinovev; Daniela Stan Raicu; Jacob Furst 001; Samuel G. Armato III (Algorithms, 2009)

Semi-supervised learning approaches for predicting semantic characteristics of lung nodules. - Dmitry Zinovev; Ekarin Varutbangkul; Daniela Stan Raicu; Jacob D. Furst; Samuel G. Armato III (Intell. Decis. Technol., 2009)

Probabilistic lung nodule classification with belief decision trees. - Dmitry Zinovev; Jonathan Feigenbaum; Jacob Furst 001; Daniela Raicu (EMBC, 2011)

A Texture-Based Probabilistic Approach for Lung Nodule Segmentation. - Olga Zinoveva; Dmitry Zinovev; Stephen A. Siena; Daniela Stan Raicu; Jacob Furst 001; Samuel G. Armato III (ICIAR (2), 2011)

Building an Ensemble of Probabilistic Classifiers for Lung Nodule Interpretation. - Dmitry Zinovev; Jacob Furst 001; Daniela Stan Raicu (ICMLA (2), 2011)

Consensus Versus Disagreement in Imaging Research: a Case Study Using the LIDC Database. - Dmitry Zinovev; Yujie Duo; Daniela Stan Raicu; Jacob Furst 001; Samuel G. Armato III (J. Digit. Imaging, 2012)