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Yoganand Balagurunathan

Researcher at University of South Florida

Publications -  100
Citations -  6740

Yoganand Balagurunathan 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 32, co-authored 91 publications receiving 5226 citations. Previous affiliations of Yoganand Balagurunathan include Translational Genomics Research Institute & University of Arizona.

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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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Acidity generated by the tumor microenvironment drives local invasion

TL;DR: Oral administration of sodium bicarbonate was sufficient to increase peritumoral pH and inhibit tumor growth and local invasion in a preclinical model, supporting the acid-mediated invasion hypothesis.
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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.
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Reproducibility and Prognosis of Quantitative Features Extracted from CT Images.

TL;DR: This study studies the reproducibility of quantitative imaging features that are used to describe tumor shape, size, and texture from computed tomography scans of non-small cell lung cancer (NSCLC).
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Radiomic Features Are Associated With EGFR Mutation Status in Lung Adenocarcinomas.

TL;DR: Computed tomography-based radiomic features of peripheral lung adenocarcinomas can capture useful information regarding tumor phenotype, and the model built can be useful to predict the presence of EGFR mutations in peripheral lung carcinomas in Asian patients when mutational profiling is not available or possible.