Yoganand Balagurunathan, Ph.D.
Affiliations: | 2001 | Texas A & M University, College Station, TX, United States |
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"Yoganand Balagurunathan"Parents
Sign in to add mentor| Edward R. Dougherty | grad student | 2001 | Texas A & M | |
| (Random set estimation using granulometries and application to surface measurement.) | ||||
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Publications
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| Niell BL, Abdalah M, Stringfield O, et al. (2020) Quantitative measures of background parenchymal enhancement predict breast cancer risk. Ajr. American Journal of Roentgenology |
| Polk SL, Choi JW, McGettigan MJ, et al. (2020) Multiphase computed tomography radiomics of pancreatic intraductal papillary mucinous neoplasms to predict malignancy. World Journal of Gastroenterology. 26: 3458-3471 |
| Pérez-Morales J, Tunali I, Stringfield O, et al. (2020) Peritumoral and intratumoral radiomic features predict survival outcomes among patients diagnosed in lung cancer screening. Scientific Reports. 10: 10528 |
| Lu H, Parra NA, Qi J, et al. (2020) Repeatability of Quantitative Imaging Features in Prostate Magnetic Resonance Imaging. Frontiers in Oncology. 10: 551 |
| Mukherjee P, Zhou M, Lee E, et al. (2020) A shallow convolutional neural network predicts prognosis of lung cancer patients in multi-institutional computed tomography image datasets Nature Machine Intelligence. 2: 274-282 |
| Li Q, Lu H, Choi J, et al. (2019) Radiological semantics discriminate clinically significant grade prostate cancer. Cancer Imaging : the Official Publication of the International Cancer Imaging Society. 19: 81 |
| Lu H, Mu W, Balagurunathan Y, et al. (2019) Multi-window CT based Radiomic signatures in differentiating indolent versus aggressive lung cancers in the National Lung Screening Trial: a retrospective study. Cancer Imaging : the Official Publication of the International Cancer Imaging Society. 19: 45 |
| Balagurunathan Y, Schabath MB, Wang H, et al. (2019) Quantitative Imaging features Improve Discrimination of Malignancy in Pulmonary nodules. Scientific Reports. 9: 8528 |
| Morales JP, Tunali I, Stringfield O, et al. (2019) OA02.08 Peritumoral and Intratumoral Radiomic Features Identify Aggressive Screen-Detected Early-Stage Lung Cancers Journal of Thoracic Oncology. 14 |
| Parra AN, Lu H, Li Q, et al. (2018) Predicting clinically significant prostate cancer using DCE-MRI habitat descriptors. Oncotarget. 9: 37125-37136 |