Publications
Latest
Cite occiput.io
Please cite this article:
S.Pedemonte, C.Catana, and K.Van Leemput. An Inference Language for Imaging. Bayesian and grAphical Models for Biomedical Imaging. Springer International Publishing, 2014. 61-72.
PhD Thesis
4-D Tomographic Inference.University College London, June 2014 - Stefano Pedemonte - Supervisors: Sebastien Ourselin and Simon Arridge
Selected Publications
4-D Generative Model for PET/MRI Reconstruction.MICCAI 2011
4-D PET-MR with Volumetric Navigators and Compressed Sensing
MICCAI 2014 CMMI
An Inference Language for Imaging
MICCAI 2014 BAMBI
Bayesian Tomographic Reconstruction Using Riemannian MCMC
MICCAI 2015
Latest
All Publications
Optimum real-time reconstruction of Gamma events for high resolution Anger camera with the use of GPGPUNSS-MIC 2009
Class Conditional Entropic Prior for MRI Enhanced SPECT Reconstruction
NSS-MIC 2010
GPU Accelerated Rotation-Based Emission Tomography Reconstruction
NSS-MIC 2010
4-D Generative Model for PET/MRI Reconstruction
MICCAI 2011
Boss/Worker Model for Multi-GPU Programming
MICCAI 2011
Probabilistic Graphical Model of SPECT/MRI
MICCAI MLMI 2011
Steady-state model of the radio-pharmaceutical uptake for MR-PET
MICCAI 2012
Joint Estimation of the Activity and the Events of Interaction in SPECT Systems
NSS-MIC 2012
Efficient Determination of the Uncertainty for the Optimization of SPECT System Design: A Subsampled Fisher Information Matrix.
IEEE TMI 2013
An Inference Language for Imaging
MICCAI BAMBI 2014
4-D PET-MR with Volumetric Navigators and Compressed Sensing
MICCAI 2014 CMMI
Bayesian Tomographic Reconstruction Using Riemannian MCMC
MICCAI 2015