Researchr is a web site for finding, collecting, sharing, and reviewing scientific publications, for researchers by researchers.
Sign up for an account to create a profile with publication list, tag and review your related work, and share bibliographies with your co-authors.
Li Yang, Guobao Wang, Jinyi Qi. Theoretical Analysis of Penalized Maximum-Likelihood Patlak Parametric Image Reconstruction in Dynamic PET for Lesion Detection. IEEE Trans. Med. Imaging, 35(4):1, 2016. [doi]
Possibly Related PublicationsThe following publications are possibly variants of this publication: Theoretical analysis of lesion detectability in penalized maximum-likelihood patlak parametric image reconstruction using dynamic PETLi Yang, Guobao Wang, Jinyi Qi. isbi 2015: 1188-1191 [doi] Maximum a Posteriori Reconstruction of Patlak Parametric Image from Sinograms in Dynamic PetGuobao Wang, Jinyi Qi. isbi 2007: 161-164 [doi] Analysis of Penalized Likelihood Image Reconstruction for Dynamic PET QuantificationGuobao Wang, Jinyi Qi. tmi, 28(4):608-620, 2009. [doi] Regularization design for breast lesion detection in penalized maximum likelihood image reconstructionLi Yang, Jian Zhou, Jinyi Qi. isbi 2012: 626-629 [doi] Maximum-Lesion-Detectability Reconstruction Using Penalized Maximum LikelihoodJinyi Qi, Ronald H. Huesman. isbi 2004: 348-351
The following publications are possibly variants of this publication: