Dmitry B. Goldgof

Affiliations: 
Chemical Engineering University of South Florida, Tampa, FL, United States 
Area:
Biomedical Engineering, Bioinformatics Biology
Website:
https://www.usf.edu/engineering/cse/people/goldgof-dmitry.aspx
Google:
"Dmitry B. Goldgof"
Bio:

http://aivi.cse.usf.edu/~goldgof/Goldgof-CV.pdf
https://dl.acm.org/citation.cfm?id=916165

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Publications

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Cherezov D, Goldgof D, Hall L, et al. (2019) Revealing Tumor Habitats from Texture Heterogeneity Analysis for Classification of Lung Cancer Malignancy and Aggressiveness. Scientific Reports. 9: 4500
Paul R, Schabath M, Balagurunathan Y, et al. (2019) Explaining Deep Features Using Radiologist-Defined Semantic Features and Traditional Quantitative Features. Tomography (Ann Arbor, Mich.). 5: 192-200
Ahmady Phoulady H, Goldgof D, Hall LO, et al. (2019) Automatic ground truth for deep learning stereology of immunostained neurons and microglia in mouse neocortex. Journal of Chemical Neuroanatomy. 98: 1-7
Ahmady Phoulady H, Goldgof D, Hall LO, et al. (2019) Automatic stereology of mean nuclear size of neurons using an active contour framework. Journal of Chemical Neuroanatomy. 96: 110-115
Alahmari SS, Cherezov D, Goldgof D, et al. (2018) Delta Radiomics Improves Pulmonary Nodule Malignancy Prediction in Lung Cancer Screening. Ieee Access : Practical Innovations, Open Solutions. 6: 77796-77806
Alahmari SS, Goldgof D, Hall L, et al. (2018) Automated Cell Counts on Tissue Sections by Deep Learning and Unbiased Stereology. Journal of Chemical Neuroanatomy
Cherezov D, Hawkins SH, Goldgof DB, et al. (2018) Delta radiomic features improve prediction for lung cancer incidence: A nested case-control analysis of the National Lung Screening Trial. Cancer Medicine
Paul R, Liu Y, Li Q, et al. (2018) Representation of Deep Features using Radiologist defined Semantic Features. Proceedings of ... International Joint Conference On Neural Networks. International Joint Conference On Neural Networks. 2018
Zhi R, Zamzmi GZD, Goldgof D, et al. (2018) Automatic Infants' Pain Assessment by Dynamic Facial Representation: Effects of Profile View, Gestational Age, Gender, and Race. Journal of Clinical Medicine. 7
Balagurunathan Y, Beers A, Kalpathy-Cramer J, et al. (2018) Erratum: Semi-automated pulmonary nodule interval segmentation using the NLST data. Medical Physics. 45: 2689-2690
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