Evaluation of Strategies for PET Motion Correction - Manifold Learning vs. Deep Learning

James R. Clough, Daniel R. Balfour, Claudia Prieto, Andrew J. Reader, Paul K. Marsden, Andrew P. King. Evaluation of Strategies for PET Motion Correction - Manifold Learning vs. Deep Learning. In Danail Stoyanov, Zeike Taylor, Seyed Mostafa Kia, Ipek Oguz, Mauricio Reyes 0001, Anne L. Martel, Lena Maier-Hein, Andre F. Marquand, Edouard Duchesnay, Tommy Löfstedt, Bennett A. Landman, M. Jorge Cardoso, Carlos A. Silva, Sérgio Pereira, Raphael Meier, editors, Understanding and Interpreting Machine Learning in Medical Image Computing Applications - First International Workshops MLCN 2018, DLF 2018, and iMIMIC 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16-20, 2018, Proceedings. Volume 11038 of Lecture Notes in Computer Science, pages 61-69, Springer, 2018. [doi]

Abstract

Abstract is missing.