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 density-based algorithm for discovering clusters in large spatial Databases with Noise
1996 Standout
A global optimisation method for robust affine registration of brain images
2001 Standout
Recognition-by-components: A theory of human image understanding.
1987 Standout
Computing illumination-invariant descriptors of spatially filtered color image regions
1997
Multiresolution Gauss-Markov random field models for texture segmentation
1997
Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
1984 Standout
FreeSurfer
2012 Standout
Sequence-independent segmentation of magnetic resonance images
2004 Standout
Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering
2007 Standout
Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm
2001 Standout
Whole Brain Segmentation
2002 Standout
Cortical Surface-Based Analysis
1999 Standout
Using a deformable surface model to obtain a shape representation of the cortex
1996
Statistical approach to segmentation of single-channel cerebral MR images
1997
Using Zernike moments for the illumination and geometry invariant classification of multispectral texture
1998
Modeling Natural Images Using Gated MRFs
2013 StandoutNobel
Cortical Surface-Based Analysis
1999 Standout
A hybrid approach to the skull stripping problem in MRI
2004 Standout
Automatically Parcellating the Human Cerebral Cortex
2003 Standout
Mixed linear model approach adapted for genome-wide association studies
2010 Standout
Content-based image retrieval at the end of the early years
2000 Standout
Image Retrieval: Current Techniques, Promising Directions, and Open Issues
1999
Three-dimensional object recognition
1985
Computing with Neural Circuits: A Model
1986 StandoutScienceNobel
Active appearance models
2001 Standout
Boundary finding with parametrically deformable models
1992
A method for registration of 3-D shapes
1992 Standout
Escaping free-energy minima
2002 Standout
Collinearity: a review of methods to deal with it and a simulation study evaluating their performance
2012 Standout
Generative models for discovering sparse distributed representations
1997 StandoutNobel
Recognition Using Region Correspondences
1997
Local invariants for recognition
1995
The Method of Simulated Scores for the Estimation of LDV Models
1998 StandoutNobel
Invariant surface characteristics for 3D object recognition in range images
1986
Representation and recognition of objects from dense range maps
1987
Data clustering
1999 Standout
Interactive learning with a “society of models”
1997
Measuring the thickness of the human cerebral cortex from magnetic resonance images
2000 Standout
Using generative models for handwritten digit recognition
1996 StandoutNobel
Normalized cuts and image segmentation
2000 Standout
State of the art in pattern recognition
1968
A note on the least squares fitting of ellipses
1993
Some Asymptotic Results for Learning in Single Hidden-Layer Feedforward Network Models
1989
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference
1988 Standout
Comparing images using the Hausdorff distance
1993 Standout
Fuzzy and possibilistic shell clustering algorithms and their application to boundary detection and surface approximation. I
1995
The illumination-invariant recognition of 3D objects using local color invariants
1996
Estimation of planar curves, surfaces, and nonplanar space curves defined by implicit equations with applications to edge and range image segmentation
1991
The theory and practice of Bayesian image labeling
1990
Statistical pattern recognition: a review
2000 Standout
Testing for neglected nonlinearity in time series models
1993 StandoutNobel
Sampling-Based Approaches to Calculating Marginal Densities
1990 Standout
Distinctive Image Features from Scale-Invariant Keypoints
2004 Standout
Multiresolution gray-scale and rotation invariant texture classification with local binary patterns
2002 Standout
Automatic boundary detection of the left ventricle from cineangiograms
1972
A dynamic approach for clustering data
1995
Scale-space and edge detection using anisotropic diffusion
1990 Standout
Direct least square fitting of ellipses
1999 Standout
Inference from Iterative Simulation Using Multiple Sequences
1992 Standout
Pattern recognition with measurement space and spatial clustering for multiple images
1969
The Structure and Function of Complex Networks
2003 Standout
Nonparametric segmentation of curves into various representations
1995
Fast approximate energy minimization via graph cuts
2001 Standout
Boundary detection by constrained optimization
1990
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
Data mining: concepts and techniques
2012 Standout
A Threshold Selection Method from Gray-Level Histograms
1979 Standout
An efficient k-means clustering algorithm: analysis and implementation
2002 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
The “rubber-mask” technique-II. Pattern storage and recognition
1973
Works of David B. Cooper being referenced
Object recognition based on moment (or algebraic) invariants
1992
Bayesian Recognition of Local 3-D Shape by Approximating Image Intensity Functions with Quadric Polynomials
1984
On Optimally Combining Pieces of Information, with Application to Estimating 3-D Complex-Object Position from Range Data
1986
Simple Parallel Hierarchical and Relaxation Algorithms for Segmenting Noncausal Markovian Random Fields
1987
Multiple-Window Parallel Adaptive Boundary Finding in Computer Vision
1983
Maximum Likelihood Estimation of Markov-Process Blob Boundaries in Noisy Images
1979
Describing complicated objects by implicit polynomials
1994
Nonsupervised adaptive signal detection and pattern recognition
1964
Adaptive Pattern Recognition and Signal Detection Using Stochastic Approximation
1964
Computationally fast Bayesian recognition of complex objects based on mutual algebraic invariants
2002
Bayesian clustering for unsupervised estimation of surface and texture models
1988
Recognition and positioning of rigid objects using algebraic moment invariants
1991
On the cost of approximating and recognizing a noise perturbed straight line or a quadratic curve segment in the plane
1975
Practical reliable Bayesian recognition of 2D and 3D objects using implicit polynomials and algebraic invariants
1996