Dmitry Cherezov

Predicting Malignant Nodules from Screening CT Scans

Samuel H. Hawkins, Y. Liu, R. Gillies, 2016, Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer.

Delta radiomic features improve prediction for lung cancer incidence: A nested case–control analysis of the National Lung Screening Trial

Samuel H. Hawkins, Matthew B Schabath, Dmitry Cherezov, 2018, Cancer medicine.

A Radiogenomics Ensemble to Predict EGFR and KRAS Mutations in NSCLC

Dmitry Cherezov, D. Goldgof, M. Schabath, 2021, Tomography.

Delta Radiomics Improves Pulmonary Nodule Malignancy Prediction in Lung Cancer Screening

Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof, 2018, IEEE Access.

Revealing Tumor Habitats from Texture Heterogeneity Analysis for Classification of Lung Cancer Malignancy and Aggressiveness

Adrien Depeursinge, Dmitry Cherezov, Robert Gillies, 2019, Scientific Reports.

Lung Nodule Sizes Are Encoded When Scaling CT Image for CNN's

Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof, 2020, Tomography.

Radiomics of Lung Nodules: A Multi-Institutional Study of Robustness and Agreement of Quantitative Imaging Features

Lubomir M. Hadjiiski, Lin Lu, Yoganand Balagurunathan, 2016, Tomography.

Deep radiomics: deep learning on radiomics texture images

Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof, 2021, Medical Imaging.

Stability and reproducibility of computed tomography radiomic features extracted from peritumoral regions of lung cancer lesions.

Ilke Tunali, Matthew B Schabath, Sandy Napel, 2019, Medical physics.

Towards deep radiomics: nodule malignancy prediction using CNNs on feature images

Robert J. Gillies, Lawrence O. Hall, Dmitry B. Goldgof, 2019, Medical Imaging.