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Matthew B. Schabath

Researcher at University of South Florida

Publications -  256
Citations -  12963

Matthew B. Schabath is an academic researcher from University of South Florida. The author has contributed to research in topics: Lung cancer & Cancer. The author has an hindex of 46, co-authored 207 publications receiving 9281 citations. Previous affiliations of Matthew B. Schabath include Northwestern University & University of Texas Health Science Center at Houston.

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Radiomics: the process and the challenges

TL;DR: "Radiomics" refers to the extraction and analysis of large amounts of advanced quantitative imaging features with high throughput from medical images obtained with computed tomography, positron emission tomography or magnetic resonance imaging, leading to a very large potential subject pool.
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Obesity, metabolic factors and risk of different histological types of lung cancer: A Mendelian randomization study

Robert Carreras-Torres, +64 more
- 08 Jun 2017 - 
TL;DR: The results are consistent with a causal role of fasting insulin and low-density lipoprotein cholesterol in lung cancer etiology, as well as for BMI in squamous cell and small cell carcinoma, and the latter relation may be mediated by a previously unrecognized effect of obesity on smoking behavior.
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Meta-analyses of genome-wide association studies identify multiple loci associated with pulmonary function

TL;DR: This meta-analysis included 20,890 participants of European ancestry from four CHARGE Consortium studies: Atherosclerosis Risk in Communities, Cardiovascular Health Study, Framingham Heart Study and Rotterdam Study, and identified eight loci associated with FEV1/FVC and one locus at or near genome-wide significance in theCHARGE Consortium dataset.
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Intrinsic dependencies of CT radiomic features on voxel size and number of gray levels.

TL;DR: The impact of slice thickness and pixel spacing on radiomics features extracted from Computed Tomography (CT) phantom images acquired with different scanners as well as different acquisition and reconstruction parameters was investigated.