Dmitry B Goldgof
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Explore the profile of Dmitry B Goldgof including associated specialties, affiliations and a list of published articles.
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25
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1715
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Recent Articles
1.
Goldgof G, Sun S, Van Cleave J, Wang L, Lucas F, Brown L, et al.
bioRxiv
. 2023 Mar;
PMID: 36865216
Morphology-based classification of cells in the bone marrow aspirate (BMA) is a key step in the diagnosis and management of hematologic malignancies. However, it is time-intensive and must be performed...
2.
Ben Ahmed K, Hall L, Goldgof D, Gatenby R
Diagnostics (Basel)
. 2022 Feb;
12(2).
PMID: 35204436
Glioma is the most common type of primary malignant brain tumor. Accurate survival time prediction for glioma patients may positively impact treatment planning. In this paper, we develop an automatic...
3.
Discovery of a Generalization Gap of Convolutional Neural Networks on COVID-19 X-Rays Classification
Ben Ahmed K, Goldgof G, Paul R, Goldgof D, Hall L
IEEE Access
. 2021 Jun;
9:72970-72979.
PMID: 34178559
A number of recent papers have shown experimental evidence that suggests it is possible to build highly accurate deep neural network models to detect COVID-19 from chest X-ray images. In...
4.
Paul R, Shafiq-Ul Hassan M, Moros E, Gillies R, Hall L, Goldgof D
Tomography
. 2020 Jun;
6(2):250-260.
PMID: 32548303
Image acquisition parameters for computed tomography scans such as slice thickness and field of view may vary depending on tumor size and site. Recent studies have shown that some radiomics...
5.
Cherezov D, Paul R, Fetisov N, Gillies R, Schabath M, Goldgof D, et al.
Tomography
. 2020 Jun;
6(2):209-215.
PMID: 32548298
Noninvasive diagnosis of lung cancer in early stages is one task where radiomics helps. Clinical practice shows that the size of a nodule has high predictive power for malignancy. In...
6.
Paul R, Schabath M, Gillies R, Hall L, Goldgof D
J Med Imaging (Bellingham)
. 2020 Apr;
7(2):024502.
PMID: 32280729
: Due to the high incidence and mortality rates of lung cancer worldwide, early detection of a precancerous lesion is essential. Low-dose computed tomography is a commonly used technique for...
7.
Paul R, Schabath M, Balagurunathan Y, Liu Y, Li Q, Gillies R, et al.
Tomography
. 2019 Mar;
5(1):192-200.
PMID: 30854457
Quantitative features are generated from a tumor phenotype by various data characterization, feature-extraction approaches and have been used successfully as a biomarker. These features give us information about a nodule,...
8.
Cherezov D, Hawkins S, Goldgof D, Hall L, Liu Y, Li Q, et al.
Cancer Med
. 2018 Dec;
7(12):6340-6356.
PMID: 30507033
Background: Current guidelines for lung cancer screening increased a positive scan threshold to a 6 mm longest diameter. We extracted radiomic features from baseline and follow-up screens and performed size-specific...
9.
Paul R, Hawkins S, Schabath M, Gillies R, Hall L, Goldgof D
J Med Imaging (Bellingham)
. 2018 Mar;
5(1):011021.
PMID: 29594181
Lung cancer has a high incidence and mortality rate. Early detection and diagnosis of lung cancers is best achieved with low-dose computed tomography (CT). Classical radiomics features extracted from lung...
10.
Paul R, Hawkins S, Balagurunathan Y, Schabath M, Gillies R, Hall L, et al.
Tomography
. 2017 Jan;
2(4):388-395.
PMID: 28066809
Lung cancer is the most common cause of cancer-related deaths in the USA. It can be detected and diagnosed using computed tomography images. For an automated classifier, identifying predictive features...