Cancer Progress and Priorities: Lung Cancer von Schabath, Matthew B, Cote, Michele L

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Radiomics Improves Cancer Screening and Early Detection von Gillies, Robert J, Schabath, Matthew B

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Radiomics of 18F-FDG PET/CT images predicts clinical benefit of advanced NSCLC patients to checkpoint blockade immunotherapy von Mu, Wei, Tunali, Ilke, Gray, Jhanelle E., Qi, Jin, Schabath, Matthew B., Gillies, Robert J.

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Artificial intelligence in cancer imaging: Clinical challenges and applications von Bi, Wenya Linda, Hosny, Ahmed, Schabath, Matthew B., Giger, Maryellen L., Birkbak, Nicolai J., Mehrtash, Alireza, Allison, Tavis, Arnaout, Omar, Abbosh, Christopher, Dunn, Ian F., Mak, Raymond H., Tamimi, Rulla M., Tempany, Clare M., Swanton, Charles, Hoffmann, Udo, Schwartz, Lawrence H., Gillies, Robert J., Huang, Raymond Y., Aerts, Hugo J. W. L.

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Non-invasive decision support for NSCLC treatment using PET/CT radiomics von Mu, Wei, Jiang, Lei, Zhang, JianYuan, Shi, Yu, Gray, Jhanelle E., Tunali, Ilke, Gao, Chao, Sun, Yingying, Tian, Jie, Zhao, Xinming, Sun, Xilin, Gillies, Robert J., Schabath, Matthew B.

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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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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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cAMP/CREB-regulated LINC00473 marks LKB1-inactivated lung cancer and mediates tumor growth von Chen, Zirong, Li, Jian-Liang, Lin, Shuibin, Cao, Chunxia, Gimbrone, Nicholas T, Yang, Rongqiang, Fu, Dongtao A, Carper, Miranda B, Haura, Eric B, Schabath, Matthew B, Lu, Jianrong, Amelio, Antonio L, Cress, W Douglas, Kaye, Frederic J, Wu, Lizi

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History of atopy or autoimmunity increases risk of alopecia areata von Barahmani, Nazila, MD, MS, Schabath, Matthew B., PhD, Duvic, Madeleine, MD

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Non-invasive measurement of PD-L1 status and prediction of immunotherapy response using deep learning of PET/CT images von Mu, Wei, Jiang, Lei, Shi, Yu, Tunali, Ilke, Gray, Jhanelle E, Katsoulakis, Evangelia, Tian, Jie, Gillies, Robert J, Schabath, Matthew B

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Racial and Ethnic Differences in the Epidemiology and Genomics of Lung Cancer von Schabath, Matthew B, Cress, Douglas, Munoz-Antonia, Teresita

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MILD trial, strong confirmation of lung cancer screening efficacy von Schabath, Matthew B., Aberle, Denise R.

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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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Effects of Tobacco Smoking on the Tumor Immune Microenvironment in Head and Neck Squamous Cell Carcinoma von de la Iglesia, Janis V, Slebos, Robbert J C, Martin-Gomez, Laura, Wang, Xuefeng, Teer, Jamie K, Tan, Aik Choon, Gerke, Travis A, Aden-Buie, Garrick, van Veen, Tessa, Masannat, Jude, Chaudhary, Ritu, Song, Feifei, Fournier, Michelle, Siegel, Erin M, Schabath, Matthew B, Wadsworth, J Trad, Caudell, Jimmy, Harrison, Louis, Wenig, Bruce M, Conejo-Garcia, Jose, Hernandez-Prera, Juan C, Chung, Christine H

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TGF-β—inducible microRNA-183 silences tumor-associated natural killer cells von Donatelli, Sarah S., Zhou, Jun-Min, Gilvary, Danielle L., Eksioglu, Erika A., Chen, Xianghong, Cress, W. Douglas, Haura, Eric B., Schabath, Matthew B., Coppola, Domenico, Wei, Sheng, Djeu, Julie Y.

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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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Risk of lung cancer in lung transplant recipients in the United States von Triplette, Matthew, Crothers, Kristina, Mahale, Parag, Yanik, Elizabeth L., Valapour, Maryam, Lynch, Charles F., Schabath, Matthew B., Castenson, David, Engels, Eric A.

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