V
Virendra Kumar
Researcher at All India Institute of Medical Sciences
Publications - 62
Citations - 3469
Virendra Kumar is an academic researcher from All India Institute of Medical Sciences. The author has contributed to research in topics: Prostate cancer & Cancer. The author has an hindex of 20, co-authored 54 publications receiving 2808 citations. Previous affiliations of Virendra Kumar include University of South Florida.
Papers
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Journal ArticleDOI
Radiomics: the process and the challenges
Virendra Kumar,Yuhua Gu,Satrajit Basu,Anders Berglund,Steven A. Eschrich,Matthew B. Schabath,Kenneth M. Forster,Hugo J.W.L. Aerts,Hugo J.W.L. Aerts,Andre Dekker,David Fenstermacher,Dmitry B. Goldgof,Lawrence O. Hall,Philippe Lambin,Yoganand Balagurunathan,Robert A. Gatenby,Robert J. Gillies +16 more
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.
Journal ArticleDOI
Reproducibility and Prognosis of Quantitative Features Extracted from CT Images.
Yoganand Balagurunathan,Yuhua Gu,Hua Wang,Virendra Kumar,Olya Grove,Sam Hawkins,Jongphil Kim,Dmitry B. Goldgof,Lawrence O. Hall,Robert A. Gatenby,Robert J. Gillies +10 more
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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Chronic autophagy is a cellular adaptation to tumor acidic pH microenvironments.
Jonathan W. Wojtkowiak,Jennifer M. Rothberg,Virendra Kumar,Karla J. Schramm,Edward M Haller,Joshua B. Proemsey,Mark C. Lloyd,Bonnie F. Sloane,Robert J. Gillies +8 more
TL;DR: Assessment of the effect of low pH on human breast carcinoma cells and mouse tumors argues that acidic conditions in the tumor microenvironment promote autophagy, and that chronicAutophagy occurs as a survival adaptation in this setting.
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Test–Retest Reproducibility Analysis of Lung CT Image Features
Yoganand Balagurunathan,Virendra Kumar,Yuhua Gu,Jongphil Kim,Hua Wang,Ying Liu,Dmitry B. Goldgof,Lawrence O. Hall,Rene Korn,Binsheng Zhao,Lawrence H. Schwartz,Satrajit Basu,Steven A. Eschrich,Robert A. Gatenby,Robert J. Gillies +14 more
TL;DR: Test–retest and correlation analyses have identified non-redundant CT image features with both high intra-patient reproducibility and inter-patient biological range, making the case that quantitative image features are informative and prognostic biomarkers for NSCLC.
Journal ArticleDOI
Automated delineation of lung tumors from CT images using a single click ensemble segmentation approach
Yuhua Gu,Virendra Kumar,Lawrence O. Hall,Dmitry B. Goldgof,Ching-Yen Li,Rene Korn,Claus Bendtsen,Emmanuel Rios Velazquez,Andre Dekker,Hugo J.W.L. Aerts,Philippe Lambin,Xiuli Li,Jie Tian,Robert A. Gatenby,Robert J. Gillies +14 more
TL;DR: Evaluation on a set of 129 CT lung tumor images using a similarity index was done, and the newly developed automatic lung lesion segmentation algorithm is stable, accurate and automated.