Quantification of Local Metabolic Tumor Volume Changes by Registering Blended PET-CT Images for Prediction of Pathologic Tumor Response - researchr publication authors

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Sadegh Riyahi, Wookjin Choi, Chia-Ju Liu, Saad Nadeem, Shan Tan, Hualiang Zhong, Wengen Chen, Abraham J. Wu, James G. Mechalakos, Joseph O. Deasy, Wei Lu. Quantification of Local Metabolic Tumor Volume Changes by Registering Blended PET-CT Images for Prediction of Pathologic Tumor Response. In Andrew Melbourne, Roxane Licandro, Matthew D. DiFranco, Paolo Rota, Melanie Gau, Martin Kampel, Rosalind Aughwane, Pim Moeskops, Ernst Schwartz, Emma C. Robinson, Antonios Makropoulos, editors, Data Driven Treatment Response Assessment - and - Preterm, Perinatal, and Paediatric Image Analysis - First International Workshop, DATRA 2018 - and - Third International Workshop, PIPPI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings. Volume 11076 of Lecture Notes in Computer Science, pages 31-41, Springer, 2018. [doi]

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