Understanding Reader Variability: A 25-Radiologist Study on Liver Metastasis Detection at CT von Hsieh, Scott S, Cook, David A, Inoue, Akitoshi, Gong, Hao, Sudhir Pillai, Parvathy, Johnson, Matthew P, Leng, Shuai, Yu, Lifeng, Fidler, Jeff L, Holmes, 3rd, David R, Carter, Rickey E, McCollough, Cynthia H, Fletcher, Joel G

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In Vivo Prediction of Kidney Stone Fragility Using Radiomics-Based Regression Models von Sudhir Pillai, Parvathy, Hsieh, Scott S, Vercnocke, Andrew J, Potretzke, Aaron M, Koo, Kevin, McCollough, Cynthia H, Ferrero, Andrea

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Targeted Training Reduces Search Errors but Not Classification Errors for Hepatic Metastasis Detection at Contrast-Enhanced CT von Hsieh, Scott S., Inoue, Akitoshi, Yalon, Mariana, Cook, David A., Gong, Hao, Sudhir Pillai, Parvathy, Johnson, Matthew P., Fidler, Jeff L., Leng, Shuai, Yu, Lifeng, Carter, Rickey E., Holmes, David R., McCollough, Cynthia H., Fletcher, Joel G.

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Forecasting intraoperative hypotension during hepatobiliary surgery von Cata, Juan P, Soni, Bhavin, Bhavsar, Shreyas, Pillai, Parvathy Sudhir, Rypinski, Tatiana A, Deva, Anshuj, Siewerdsen, Jeffrey H, Soliz, Jose M

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Peripheral liver metastases are more frequently missed than central metastases in contrast-enhanced CT: insights from a 25-reader performance study von Hsieh, Scott S, Holmes Iii, David R, Carter, Rickey E, Tan, Nelly, Inoue, Akitoshi, Yalon, Mariana, Gong, Hao, Sudhir Pillai, Parvathy, Leng, Shuai, Yu, Lifeng, Fidler, Jeff L, Cook, David A, McCollough, Cynthia H, Fletcher, Joel G

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Individualized and generalized models for predicting observer performance on liver metastasis detection using CT von Pillai, Parvathy Sudhir, Holmes, David R., Carter, Rickey, Inoue, Akitoshi, Cook, David A., Karwoski, Ron, Fidler, Jeff L., Fletcher, Joel G., Leng, Shuai, Yu, Lifeng, McCollough, Cynthia H., Hsieh, Scott S.

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Knowledge-driven generative subspaces for modeling multi-view dependencies in medical data von Pillai, Parvathy Sudhir, Leong, Tze-Yun

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