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Dmitry Cherezov
ORCID
Publication Activity (10 Years)
Years Active: 2016-2024
Publications (10 Years): 6
Top Topics
Ct Imaging
Texture Images
Lung Cancer
Stepwise Regression
Top Venues
Medical Imaging: Computer-Aided Diagnosis
SMC
Comput. Methods Programs Biomed.
Medical Imaging: Image Processing
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Publications
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Dmitry Cherezov
,
Vidya Sankar Viswanathan
,
Pingfu Fu
,
Amit Gupta
,
Anant Madabhushi
Rank acquisition impact on radiomics estimation (AсquIRE) in chest CT imaging: A retrospective multi-site, multi-use-case study.
Comput. Methods Programs Biomed.
244 (2024)
Dmitry Cherezov
,
Vidya Sankar Viswanathan
,
Amit Gupta
,
Anant Madabhushi
Resolving impact of technical and biological variability on the convolutional neural networks: evaluating chest x-ray scans.
Medical Imaging: Image Processing
(2023)
Rahul Paul
,
Sherzod Kariev
,
Dmitry Cherezov
,
Matthew B. Schabath
,
Robert J. Gillies
,
Lawrence O. Hall
,
Dmitry B. Goldgof
Deep radiomics: deep learning on radiomics texture images.
Medical Imaging: Computer-Aided Diagnosis
(2021)
Rahul Paul
,
Dmitry Cherezov
,
Matthew B. Schabath
,
Robert J. Gillies
,
Lawrence O. Hall
,
Dmitry B. Goldgof
Towards deep radiomics: nodule malignancy prediction using CNNs on feature images.
Medical Imaging: Computer-Aided Diagnosis
(2019)
Saeed S. Alahmari
,
Dmitry Cherezov
,
Dmitry B. Goldgof
,
Lawrence O. Hall
,
Robert J. Gillies
,
Matthew B. Schabath
Delta Radiomics Improves Pulmonary Nodule Malignancy Prediction in Lung Cancer Screening.
IEEE Access
6 (2018)
Dmitry Cherezov
,
Samuel H. Hawkins
,
Dmitry B. Goldgof
,
Lawrence O. Hall
,
Yoganand Balagurunathan
,
Robert J. Gillies
,
Matthew B. Schabath
Improving malignancy prediction through feature selection informed by nodule size ranges in NLST.
SMC
(2016)