Citation Impact
Citing Papers
Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images*
1993
Markov Chain Monte Carlo Convergence Diagnostics: A Comparative Review
1996 Standout
A global optimisation method for robust affine registration of brain images
2001 Standout
Markov Random Field Texture Models
1983
Accurate calculation of side chain packing and free energy with applications to protein molecular dynamics
2018 StandoutNobel
Estimating the age of healthy subjects from T1-weighted MRI scans using kernel methods: Exploring the influence of various parameters
2010 Standout
mapDamage2.0: fast approximate Bayesian estimates of ancient DNA damage parameters
2013 Standout
Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
1984 Standout
FreeSurfer
2012 Standout
Sequence-independent segmentation of magnetic resonance images
2004 Standout
What energy functions can be minimized via graph cuts?
2004 Standout
Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm
2001 Standout
Image information and visual quality
2006 Standout
Modeling and Segmentation of Noisy and Textured Images Using Gibbs Random Fields
1987
Whole Brain Segmentation
2002 Standout
An automated tool for detection of FLAIR-hyperintense white-matter lesions in Multiple Sclerosis
2011 Standout
Regularization of Diffusion-Based Direction Maps for the Tracking of Brain White Matter Fascicles
2000 Standout
Statistical approach to segmentation of single-channel cerebral MR images
1997
Modeling Natural Images Using Gated MRFs
2013 StandoutNobel
A hybrid approach to the skull stripping problem in MRI
2004 Standout
Automatically Parcellating the Human Cerebral Cortex
2003 Standout
WinBUGS - A Bayesian modelling framework: Concepts, structure, and extensibility
2000 Standout
Vertex component analysis: a fast algorithm to unmix hyperspectral data
2005 Standout
Computing with Neural Circuits: A Model
1986 StandoutScienceNobel
Influence of partially known parameter on flaw characterization in Eddy Current Testing by using a random walk MCMC method based on metamodeling
2014 Standout
Escaping free-energy minima
2002 Standout
A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients
2000 Standout
Generative models for discovering sparse distributed representations
1997 StandoutNobel
The Method of Simulated Scores for the Estimation of LDV Models
1998 StandoutNobel
Gaussian Processes for Machine Learning
2005 Standout
Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
1995 Standout
Normalized cuts and image segmentation
2000 Standout
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
2002 Standout
An Efficient Learning Procedure for Deep Boltzmann Machines
2012 StandoutNobel
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference
1988 Standout
The theory and practice of Bayesian image labeling
1990
Connectionist learning procedures
1989 StandoutNobel
Graphical Models, Exponential Families, and Variational Inference
2007
ION BEAM LITHOGRAPHY AND NANOFABRICATION: A REVIEW
2005
Sampling-Based Approaches to Calculating Marginal Densities
1990 Standout
Natural Image Statistics and Neural Representation
2001 Standout
Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
2010 Standout
Multiresolution gray-scale and rotation invariant texture classification with local binary patterns
2002 Standout
Nanostructured Plasmonic Sensors
2008 Standout
Image texture synthesis-by-analysis using moving-average models
1993
Scale-space and edge detection using anisotropic diffusion
1990 Standout
Bayesian inference for causal effects in randomized experiments with noncompliance
1997 StandoutNobel
Inference from Iterative Simulation Using Multiple Sequences
1992 Standout
A Model-Based Method for Rotation Invariant Texture Classification
1986
Fast approximate energy minimization via graph cuts
2001 Standout
Measuring the Effects of Monetary Policy: A Factor-Augmented Vector Autoregressive (FAVAR) Approach*
2005 StandoutNobel
brms: An R Package for Bayesian Multilevel Models Using Stan
2017 Standout
A Learning Algorithm for Boltzmann Machines*
1985 StandoutNobel
Probabilistic topic models
2012 Standout
Optimal approximations by piecewise smooth functions and associated variational problems
1989 Standout
Simulation of multivariate normal rectangle probabilities and their derivatives theoretical and computational results
1996 StandoutNobel
Measuring the Effects of Monetary Policy: A Factor-Augmented Vector Autoregressive (FAVAR) Approach
2005 StandoutNobel
Finding scientific topics
2004 Standout
Local-Global Parcellation of the Human Cerebral Cortex from Intrinsic Functional Connectivity MRI
2017 Standout
Works of M. Hassner being referenced
The use of Markov Random Fields as models of texture
1980
Hilbert filter for double-layer perpendicular recording media
2002