Matthew Schabath
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Explore the profile of Matthew Schabath including associated specialties, affiliations and a list of published articles.
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9
Citations
76
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Recent Articles
1.
Sather C, Yang P, Zhang C, Fitzgibbon M, Fournier M, Toloza E, et al.
Cancer Med
. 2023 Aug;
12(17):17632-17637.
PMID: 37587851
Introduction: We investigated a commercially available sequencing panel to study the effect of sequencing depth, variant calling strategy, and targeted sequencing region on identifying tumor-derived variants in cell-free bronchoalveolar lavage...
2.
Islam J, Yang S, Schabath M, Vadaparampil S, Lou X, Wu Y, et al.
Prev Med Rep
. 2023 Aug;
35():102334.
PMID: 37546581
Although lung cancer is a leading cause of death among people living with HIV (PLWH), limited research exists characterizing real-world lung cancer screening adherence among PLWH. Our objective was to...
3.
Islam J, Yang S, Schabath M, Vadaparampil S, Lou X, Wu Y, et al.
AIDS Res Hum Retroviruses
. 2023 May;
39(9):482-484.
PMID: 37132600
We evaluated low-dose computed tomography (LDCT) adherence among people with HIV (PWH) treated at University of Florida (UF). From the UF Health Integrated Data Repository, we identified PWH who underwent...
4.
Moreno S, Bonfante M, Zurek E, Cherezov D, Goldgof D, Hall L, et al.
Tomography
. 2021 May;
7(2):154-168.
PMID: 33946756
Lung cancer causes more deaths globally than any other type of cancer. To determine the best treatment, detecting EGFR and KRAS mutations is of interest. However, non-invasive ways to obtain...
5.
Paul R, Schabath M, Gillies R, Hall L, Goldgof D
Comput Biol Med
. 2020 Jul;
122:103882.
PMID: 32658721
Convolutional Neural Networks (CNNs) have been utilized for to distinguish between benign lung nodules and those that will become malignant. The objective of this study was to use an ensemble...
6.
Cherezov D, Goldgof D, Hall L, Gillies R, Schabath M, Muller H, et al.
Sci Rep
. 2019 Mar;
9(1):4500.
PMID: 30872600
We propose an approach for characterizing structural heterogeneity of lung cancer nodules using Computed Tomography Texture Analysis (CTTA). Measures of heterogeneity were used to test the hypothesis that heterogeneity can...
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.
Paul R, Hall L, Goldgof D, Schabath M, Gillies R
Proc Int Jt Conf Neural Netw
. 2018 Nov;
2018.
PMID: 30443438
Lung cancer is the leading cause of cancer-related deaths globally, which makes early detection and diagnosis a high priority. Computed tomography (CT) is the method of choice for early detection...
9.
Paul R, Liu Y, Li Q, Hall L, Goldgof D, Balagurunathan Y, et al.
Proc Int Jt Conf Neural Netw
. 2018 Nov;
2018.
PMID: 30443437
Semantic features are common radiological traits used to characterize a lesion by a trained radiologist. These features have been recently formulated, quantified on a point scale in the context of...