Relative survival analysis in patients with stage I-II Merkel cell carcinoma treated with Mohs micrographic surgery or wide local excision von Su, Chang, Bai, Harrison X., Christensen, Sean

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Performance of Radiologists in Differentiating COVID-19 from Non-COVID-19 Viral Pneumonia at Chest CT von Bai, Harrison X, Hsieh, Ben, Xiong, Zeng, Halsey, Kasey, Choi, Ji Whae, Tran, Thi My Linh, Pan, Ian, Shi, Lin-Bo, Wang, Dong-Cui, Mei, Ji, Jiang, Xiao-Long, Zeng, Qiu-Hua, Egglin, Thomas K, Hu, Ping-Feng, Agarwal, Saurabh, Xie, Fang-Fang, Li, Sha, Healey, Terrance, Atalay, Michael K, Liao, Wei-Hua

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MRI features predict survival and molecular markers in diffuse lower-grade gliomas von Zhou, Hao, Vallières, Martin, Bai, Harrison X, Su, Chang, Tang, Haiyun, Oldridge, Derek, Zhang, Zishu, Xiao, Bo, Liao, Weihua, Tao, Yongguang, Zhou, Jianhua, Zhang, Paul, Yang, Li

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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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Discriminative error prediction network for semi-supervised colon gland segmentation von Zhang, Zhenxi, Tian, Chunna, Bai, Harrison X., Jiao, Zhicheng, Tian, Xilan

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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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Prediction of Glioma Grade Using Intratumoral and Peritumoral Radiomic Features From Multiparametric MRI Images von Cheng, Jianhong, Liu, Jin, Yue, Hailin, Bai, Harrison, Pan, Yi, Wang, Jianxin

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Machine intelligence in non-invasive endocrine cancer diagnostics von Thomasian, Nicole M., Kamel, Ihab R., Bai, Harrison X.

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Sublobar resection compared with stereotactic body radiation therapy and ablation for early stage non–small cell lung cancer: A National Cancer Database study von Wu, Jing, Bai, Harrison X., Chan, Lilian, Su, Chang, Zhang, Paul J., Yang, Li, Zhang, Zishu

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What Have We Learned About Acute Pancreatitis in Children? von Bai, Harrison X, Lowe, Mark E, Husain, Sohail Z

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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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Beyond antioxidation: Harnessing the CeO2 nanoparticles as a renoprotective contrast agent for in vivo spectral CT angiography von Feng, Cai, Xiong, Zongling, Sun, Xianting, Zhou, Hao, Wang, Tianming, Wang, Ying, Bai, Harrison X., Lei, Peng, Liao, Weihua

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RICORD: A Precedent for Open AI in COVID-19 Image Analytics von Bai, Harrison X, Thomasian, Nicole M

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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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Deep learning-based radiomic nomogram to predict risk categorization of thymic epithelial tumors: A multicenter study von Zhou, Hao, Bai, Harrison X., Jiao, Zhicheng, Cui, Biqi, Wu, Jing, Zheng, Haijun, Yang, Huan, Liao, Weihua

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Artificial intelligence for medical image analysis in epilepsy von Sollee, John, Tang, Lei, Igiraneza, Aime Bienfait, Xiao, Bo, Bai, Harrison X., Yang, Li

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Racial disparity in mycosis fungoides: An analysis of 4495 cases from the US National Cancer Database von Su, Chang, BSE, Nguyen, Kevin A., MS, Bai, Harrison X., MD, Cao, Ya, PhD, Tao, Yongguang, PhD, Xiao, Rong, MD, Karakousis, Giorgos, MD, Zhang, Paul J., MD, Zhang, Guiying, MD

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Automatic assessment of glioma burden: a deep learning algorithm for fully automated volumetric and bidimensional measurement von Chang, Ken, Beers, Andrew L, Bai, Harrison X, Brown, James M, Ly, K Ina, Li, Xuejun, Senders, Joeky T, Kavouridis, Vasileios K, Boaro, Alessandro, Su, Chang, Bi, Wenya Linda, Rapalino, Otto, Liao, Weihua, Shen, Qin, Zhou, Hao, Xiao, Bo, Wang, Yinyan, Zhang, Paul J, Pinho, Marco C, Wen, Patrick Y, Batchelor, Tracy T, Boxerman, Jerrold L, Arnaout, Omar, Rosen, Bruce R, Gerstner, Elizabeth R, Yang, Li, Huang, Raymond Y, Kalpathy-Cramer, Jayashree

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Ethiodized oil as an imaging biomarker after conventional transarterial chemoembolization von Mendiratta-Lala, Mishal, Aslam, Anum, Bai, Harrison X., Chapiro, Julius, De Baere, Thiery, Miyayama, Shiro, Chernyak, Victoria, Matsui, Osamu, Vilgrain, Valerie, Fidelman, Nicholas

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Artificial intelligence for prediction of COVID-19 progression using CT imaging and clinical data von Wang, Robin, Jiao, Zhicheng, Yang, Li, Choi, Ji Whae, Xiong, Zeng, Halsey, Kasey, Tran, Thi My Linh, Pan, Ian, Collins, Scott A., Feng, Xue, Wu, Jing, Chang, Ken, Shi, Lin-Bo, Yang, Shuai, Yu, Qi-Zhi, Liu, Jie, Fu, Fei-Xian, Jiang, Xiao-Long, Wang, Dong-Cui, Zhu, Li-Ping, Yi, Xiao-Ping, Healey, Terrance T., Zeng, Qiu-Hua, Liu, Tao, Hu, Ping-Feng, Huang, Raymond Y., Li, Yi-Hui, Sebro, Ronnie A., Zhang, Paul J. L., Wang, Jianxin, Atalay, Michael K., Liao, Wei-Hua, Fan, Yong, Bai, Harrison X.

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