Peritumoral and intratumoral radiomic features predict survival outcomes among patients diagnosed in lung cancer screening von Pérez-Morales, Jaileene, Tunali, Ilke, Stringfield, Olya, Eschrich, Steven A., Balagurunathan, Yoganand, Gillies, Robert J., Schabath, Matthew B.

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Intrinsic dependencies of CT radiomic features on voxel size and number of gray levels von Shafiq‐ul‐Hassan, Muhammad, Zhang, Geoffrey G., Latifi, Kujtim, Ullah, Ghanim, Hunt, Dylan C., Balagurunathan, Yoganand, Abdalah, Mahmoud Abrahem, Schabath, Matthew B., Goldgof, Dmitry G., Mackin, Dennis, Court, Laurence Edward, Gillies, Robert James, Moros, Eduardo Gerardo

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Acidity Generated by the Tumor Microenvironment Drives Local Invasion von ESTRELLA, Veronica, TINGAN CHEN, JOHNSON, Joseph, GATENBY, Robert A, GILLIES, Robert J, LLOYD, Mark, WOJTKOWIAK, Jonathan, CORNNELL, Heather H, IBRAHIM-HASHIM, Arig, BAILEY, Kate, BALAGURUNATHAN, Yoganand, ROTHBERG, Jennifer M, SLOANE, Bonnie F

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Acidity promotes tumour progression by altering macrophage phenotype in prostate cancer von El-Kenawi, Asmaa, Gatenbee, Chandler, Robertson-Tessi, Mark, Bravo, Rafael, Dhillon, Jasreman, Balagurunathan, Yoganand, Berglund, Anders, Vishvakarma, Naveen, Ibrahim-Hashim, Arig, Choi, Jung, Luddy, Kimberly, Gatenby, Robert, Pilon-Thomas, Shari, Anderson, Alexander, Ruffell, Brian, Gillies, Robert

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Predicting Malignant Nodules from Screening CT Scans von Hawkins, Samuel, Wang, Hua, Liu, Ying, Garcia, Alberto, Stringfield, Olya, Krewer, Henry, Li, Qian, Cherezov, Dmitry, Gatenby, Robert A., Balagurunathan, Yoganand, Goldgof, Dmitry, Schabath, Matthew B., Hall, Lawrence, Gillies, Robert J.

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Quantitative Imaging features Improve Discrimination of Malignancy in Pulmonary nodules von Balagurunathan, Yoganand, Schabath, Matthew B., Wang, Hua, Liu, Ying, Gillies, Robert J.

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Quantitative computed tomographic descriptors associate tumor shape complexity and intratumor heterogeneity with prognosis in lung adenocarcinoma von Grove, Olya, Berglund, Anders E, Schabath, Matthew B, Aerts, Hugo J W L, Dekker, Andre, Wang, Hua, Velazquez, Emmanuel Rios, Lambin, Philippe, Gu, Yuhua, Balagurunathan, Yoganand, Eikman, Edward, Gatenby, Robert A, Eschrich, Steven, Gillies, Robert J

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Radiological Image Traits Predictive of Cancer Status in Pulmonary Nodules von Liu, Ying, Balagurunathan, Yoganand, Atwater, Thomas, Antic, Sanja, Li, Qian, Walker, Ronald C, Smith, Gary T, Massion, Pierre P, Schabath, Matthew B, Gillies, Robert J

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Reproducibility and Prognosis of Quantitative Features Extracted from CT Images von Balagurunathan, Yoganand, Gu, Yuhua, Wang, Hua, Kumar, Virendra, Grove, Olya, Hawkins, Sam, Kim, Jongphil, Goldgof, Dmitry B, Hall, Lawrence O, Gatenby, Robert A, Gillies, Robert J

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Defining Cancer Subpopulations by Adaptive Strategies Rather Than Molecular Properties Provides Novel Insights into Intratumoral Evolution von Ibrahim-Hashim, Arig, Robertson-Tessi, Mark, Enriquez-Navas, Pedro M, Damaghi, Mehdi, Balagurunathan, Yoganand, Wojtkowiak, Jonathan W, Russell, Shonagh, Yoonseok, Kam, Lloyd, Mark C, Bui, Marilyn M, Brown, Joel S, Anderson, Alexander R A, Gillies, Robert J, Gatenby, Robert A

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Radiologic Features of Small Pulmonary Nodules and Lung Cancer Risk in the National Lung Screening Trial: A Nested Case-Control Study von Liu, Ying, Wang, Hua, Li, Qian, McGettigan, Melissa J, Balagurunathan, Yoganand, Garcia, Alberto L, Thompson, Zachary J, Heine, John J, Ye, Zhaoxiang, Gillies, Robert J, Schabath, Matthew B

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A shallow convolutional neural network predicts prognosis of lung cancer patients in multi-institutional computed tomography image datasets von Mukherjee, Pritam, Zhou, Mu, Lee, Edward, Schicht, Anne, Balagurunathan, Yoganand, Napel, Sandy, Gillies, Robert, Wong, Simon, Thieme, Alexander, Leung, Ann, Gevaert, Olivier

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Multiphase computed tomography radiomics of pancreatic intraductal papillary mucinous neoplasms to predict malignancy von Polk, Stuart L, Choi, Jung W, McGettigan, Melissa J, Rose, Trevor, Ahmed, Abraham, Kim, Jongphil, Jiang, Kun, Balagurunathan, Yoganand, Qi, Jin, Farah, Paola T, Rathi, Alisha, Permuth, Jennifer B, Jeong, Daniel

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Intermittent hypoxia selects for genotypes and phenotypes that increase survival, invasion, and therapy resistance von Verduzco, Daniel, Lloyd, Mark, Xu, Liping, Ibrahim-Hashim, Arig, Balagurunathan, Yoganand, Gatenby, Robert A, Gillies, Robert J

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CT imaging features associated with recurrence in non-small cell lung cancer patients after stereotactic body radiotherapy von Li, Qian, Kim, Jongphil, Balagurunathan, Yoganand, Qi, Jin, Liu, Ying, Latifi, Kujtim, Moros, Eduardo G, Schabath, Matthew B, Ye, Zhaoxiang, Gillies, Robert J, Dilling, Thomas J

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Differences in Patient Outcomes of Prevalence, Interval, and Screen-Detected Lung Cancers in the CT Arm of the National Lung Screening Trial von Schabath, Matthew B, Massion, Pierre P, Thompson, Zachary J, Eschrich, Steven A, Balagurunathan, Yoganand, Goldof, Dmitry, Aberle, Denise R, Gillies, Robert J

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Estrogen induces apoptosis in estrogen deprivation-resistant breast cancer through stress responses as identified by global gene expression across time von Ariazi, Eric A., Cunliffe, Heather E., Lewis-Wambi, Joan S., Slifker, Michael J., Willis, Amanda L., Ramos, Pilar, Tapia, Coya, Kim, Helen R., Yerrum, Smitha, Sharma, Catherine G. N., Nicolas, Emmanuelle, Balagurunathan, Yoganand, Ross, Eric A., Jordan, V. Craig

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Prostate cancer radiomics and the promise of radiogenomics von Stoyanova, Radka, Takhar, Mandeep, Tschudi, Yohann, Ford, John C., Solórzano, Gabriel, Erho, Nicholas, Balagurunathan, Yoganand, Punnen, Sanoj, Davicioni, Elai, Gillies, Robert J., Pollack, Alan

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Radiomic features of PET/CT imaging of large B cell lymphoma lesions predicts CAR T cell therapy efficacy von Balagurunathan, Yoganand, Wei, Zhouping, Qi, Jin, Thompson, Zachary, Dean, Erin, Lu, Hong, Vardhanabhuti, Saran, Corallo, Salvatore, Choi, Jung W, Kim, Jenny J, Mattie, Mike, Jain, Michael, Locke, Frederick L

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Linc-ing Circulating Long Non-coding RNAs to the Diagnosis and Malignant Prediction of Intraductal Papillary Mucinous Neoplasms of the Pancreas von Permuth, Jennifer B., Chen, Dung-Tsa, Yoder, Sean J., Li, Jiannong, Smith, Andrew T., Choi, Jung W., Kim, Jongphil, Balagurunathan, Yoganand, Jiang, Kun, Coppola, Domenico, Centeno, Barbara A., Klapman, Jason, Hodul, Pam, Karreth, Florian A., Trevino, Jose G., Merchant, Nipun, Magliocco, Anthony, Malafa, Mokenge P., Gillies, Robert

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