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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Radiographic prediction of meningioma grade by semantic and radiomic features von Coroller, Thibaud P, Bi, Wenya Linda, Huynh, Elizabeth, Abedalthagafi, Malak, Aizer, Ayal A, Greenwald, Noah F, Parmar, Chintan, Narayan, Vivek, Wu, Winona W, Miranda de Moura, Samuel, Gupta, Saksham, Beroukhim, Rameen, Wen, Patrick Y, Al-Mefty, Ossama, Dunn, Ian F, Santagata, Sandro, Alexander, Brian M, Huang, Raymond Y, Aerts, Hugo J W L

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Artificial Intelligence Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Origin at Chest CT von Bai, Harrison X, Wang, Robin, Xiong, Zeng, Hsieh, Ben, Chang, Ken, Halsey, Kasey, Tran, Thi My Linh, Choi, Ji Whae, Wang, Dong-Cui, Shi, Lin-Bo, Mei, Ji, Jiang, Xiao-Long, Pan, Ian, Zeng, Qiu-Hua, Hu, Ping-Feng, Li, Yi-Hui, Fu, Fei-Xian, Huang, Raymond Y, Sebro, Ronnie, Yu, Qi-Zhi, Atalay, Michael K, Liao, Wei-Hua

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Multimodal MRI features predict isocitrate dehydrogenase genotype in high-grade gliomas von Zhang, Biqi, Chang, Ken, Ramkissoon, Shakti, Tanguturi, Shyam, Bi, Wenya Linda, Reardon, David A, Ligon, Keith L, Alexander, Brian M, Wen, Patrick Y, Huang, Raymond Y

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Using 3D MRI Anatomic Maps to Determine Prognosis for Glioblastomas von Huang, Raymond Y

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Residual Convolutional Neural Network for the Determination of IDH Status in Low- and High-Grade Gliomas from MR Imaging von Chang, Ken, Bai, Harrison X, Zhou, Hao, Su, Chang, Bi, Wenya Linda, Agbodza, Ena, Kavouridis, Vasileios K, Senders, Joeky T, Boaro, Alessandro, Beers, Andrew, Zhang, Biqi, Capellini, Alexandra, Liao, Weihua, Shen, Qin, Li, Xuejun, Xiao, Bo, Cryan, Jane, Ramkissoon, Shakti, Ramkissoon, Lori, Ligon, Keith, Wen, Patrick Y, Bindra, Ranjit S, Woo, John, Arnaout, Omar, Gerstner, Elizabeth R, Zhang, Paul J, Rosen, Bruce R, Yang, Li, Huang, Raymond Y, Kalpathy-Cramer, Jayashree

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Whole-Brain MR Spectroscopy Imaging of Brain Tumor Metabolites von Huang, Raymond Y, Lin, Alexander

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Deep learning approaches to non-invasively assess molecular features of gliomas von Rahman, Rifaquat, Huang, Raymond Y

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Efficient Deep Reinforcement Learning for Optimal Path Planning von Ren, Jing, Huang, Xishi, Huang, Raymond N.

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BOLD asynchrony: An imaging biomarker of tumor burden in IDH-mutated gliomas von Vachha, Behroze Adi, Huang, Raymond Y

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Glioblastoma in adults: a Society for Neuro-Oncology (SNO) and European Society of Neuro-Oncology (EANO) consensus review on current management and future directions von Wen, Patrick Y, Weller, Michael, Lee, Eudocia Quant, Alexander, Brian M, Barnholtz-Sloan, Jill S, Barthel, Floris P, Batchelor, Tracy T, Bindra, Ranjit S, Chang, Susan M, Chiocca, E Antonio, Cloughesy, Timothy F, DeGroot, John F, Galanis, Evanthia, Gilbert, Mark R, Hegi, Monika E, Horbinski, Craig, Huang, Raymond Y, Lassman, Andrew B, Le Rhun, Emilie, Lim, Michael, Mehta, Minesh P, Mellinghoff, Ingo K, Minniti, Giuseppe, Nathanson, David, Platten, Michael, Preusser, Matthias, Roth, Patrick, Sanson, Marc, Schiff, David, Short, Susan C, Taphoorn, Martin J B, Tonn, Joerg-Christian, Tsang, Jonathan, Verhaak, Roel G W, von Deimling, Andreas, Wick, Wolfgang, Zadeh, Gelareh, Reardon, David A, Aldape, Kenneth D, van den Bent, Martin J

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The T2-FLAIR mismatch sign as a predictor of IDH-mutant, 1p/19q-noncodeleted lower-grade gliomas: a systematic review and diagnostic meta-analysis von Park, Sang Ik, Suh, Chong Hyun, Guenette, Jeffrey P., Huang, Raymond Y., Kim, Ho Sung

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Ivosidenib in Isocitrate Dehydrogenase 1 - Mutated Advanced Glioma von Mellinghoff, Ingo K, Ellingson, Benjamin M, Touat, Mehdi, Maher, Elizabeth, De La Fuente, Macarena I, Holdhoff, Matthias, Cote, Gregory M, Burris, Howard, Janku, Filip, Young, Robert J, Huang, Raymond, Jiang, Liewen, Choe, Sung, Fan, Bin, Yen, Katharine, Lu, Min, Bowden, Chris, Steelman, Lori, Pandya, Shuchi S, Cloughesy, Timothy F, Wen, Patrick Y

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Pitfalls in the neuroimaging of glioblastoma in the era of antiangiogenic and immuno/targeted therapy - detecting illusive disease, defining response von Huang, Raymond Y, Neagu, Martha R, Reardon, David A, Wen, Patrick Y

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Deep Learning to Distinguish Benign from Malignant Renal Lesions Based on Routine MR Imaging von Xi, Ianto Lin, Zhao, Yijun, Wang, Robin, Chang, Marcello, Purkayastha, Subhanik, Chang, Ken, Huang, Raymond Y, Silva, Alvin C, Vallières, Martin, Habibollahi, Peiman, Fan, Yong, Zou, Beiji, Gade, Terence P, Zhang, Paul J, Soulen, Michael C, Zhang, Zishu, Bai, Harrison X, Stavropoulos, S William

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Imaging diagnosis and treatment selection for brain tumors in the era of molecular therapeutics von Vagvala, Saivenkat, Guenette, Jeffrey P, Jaimes, Camilo, Huang, Raymond Y

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Proposed response assessment and endpoints for meningioma clinical trials: report from the Response Assessment in Neuro-Oncology Working Group von Huang, Raymond Y, Bi, Wenya Linda, Weller, Michael, Kaley, Thomas, Blakeley, Jaishri, Dunn, Ian, Galanis, Evanthia, Preusser, Matthias, McDermott, Michael, Rogers, Leland, Raizer, Jeffrey, Schiff, David, Soffietti, Riccardo, Tonn, Jörg-Christian, Vogelbaum, Michael, Weber, Damien, Reardon, David A, Wen, Patrick Y

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Application of radiomics to meningiomas: A systematic review von Patel, Ruchit V, Yao, Shun, Huang, Raymond Y, Bi, Wenya Linda

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Joint EANM/EANO/RANO/SNMMI practice guideline/procedure standards for diagnostics and therapy (theranostics) of meningiomas using radiolabeled somatostatin receptor ligands: versio... von Albert, Nathalie L., Preusser, Matthias, Traub-Weidinger, Tatjana, Tolboom, Nelleke, Law, Ian, Palmer, Joshua D., Guedj, Eric, Furtner, Julia, Fraioli, Francesco, Huang, Raymond Y., Johnson, Derek R., Deroose, Christophe M., Herrmann, Ken, Vogelbaum, Michael, Chang, Susan, Tonn, Joerg-Christian, Weller, Michael, Wen, Patrick Y., van den Bent, Martin J., Verger, Antoine, Ivanidze, Jana, Galldiks, Norbert

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Machine learning reveals multimodal MRI patterns predictive of isocitrate dehydrogenase and 1p/19q status in diffuse low- and high-grade gliomas von Zhou, Hao, Chang, Ken, Bai, Harrison X., Xiao, Bo, Su, Chang, Bi, Wenya Linda, Zhang, Paul J., Senders, Joeky T., Vallières, Martin, Kavouridis, Vasileios K., Boaro, Alessandro, Arnaout, Omar, Yang, Li, Huang, Raymond Y.

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