Robert Azencott

According to our database1, Robert Azencott authored at least 31 papers between 1989 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
An operator-splitting approach for variational optimal control formulations for diffeomorphic shape matching.
J. Comput. Phys., November, 2023

2022
Automatic classification of deformable shapes.
CoRR, 2022

2021
Diffeomorphic Shape Matching by Operator Splitting in 3D Cardiology Imaging.
J. Optim. Theory Appl., 2021

Stochastic Neural Networks for Automatic Cell Tracking in Microscopy Image Sequences of Bacterial Colonies.
CoRR, 2021

2020
Localization of epileptic seizure focus by computerized analysis of fMRI recordings.
Brain Informatics, 2020

2018
Mutual Information Better Quantifies Brain Network Architecture in Children with Epilepsy.
Comput. Math. Methods Medicine, 2018

2014
Biomarker Signature Discovery from Mass Spectrometry Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2014

Modeling miRNA-mRNA interactions: fitting chemical kinetics equations to microarray data.
BMC Syst. Biol., 2014

2013
Realtime market microstructure analysis: online Transaction Cost Analysis
CoRR, 2013

2012
Rigid-Motion-Invariant Classification of 3-D Textures.
IEEE Trans. Image Process., 2012

Semi-automatic Discrimination of Normal Tissue and Liver Cancer Lesions in Contrast Enhanced X-Ray CT-Scans.
Proceedings of the Abdominal Imaging. Computational and Clinical Applications, 2012

2011
Searchlight CT: a new reconstruction method for collimated X-ray tomography.
Proceedings of the 5th International ICST Conference on Performance Evaluation Methodologies and Tools Communications, 2011

2010
Diffeomorphic Matching and Dynamic Deformable Surfaces in 3d Medical Imaging.
Comput. Methods Appl. Math., 2010

2009
Space/Time Modulation of Speckle Noise and Multiscale Speckle Tracking in Intracardiac Echocardiography.
Proceedings of the 2009 International Conference on Image Processing, 2009

SEM Image Analysis for Quality Control of Nanoparticles.
Proceedings of the Computer Analysis of Images and Patterns, 13th International Conference, 2009

2008
A controllability approach to shape identification.
Appl. Math. Lett., 2008

1999
Distribution-Dependent Vapnik-Chervonenkis Bounds.
Proceedings of the Computational Learning Theory, 4th European Conference, 1999

1997
Texture Classification Using Windowed Fourier Filters.
IEEE Trans. Pattern Anal. Mach. Intell., 1997

Tomographic Reconstruction of Axisymmetrical Objects From One View by Model Approximation.
Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997

An Energy Minimization Method for Matching and Comparing Structured Object Representations.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 1997

1996
Transfer Function Estimation, Film Fusion and Image Restoration.
CVGIP Graph. Model. Image Process., 1996

Multiscale identification of buildings in compressed large aerial scenes.
Proceedings of the 13th International Conference on Pattern Recognition, 1996

A distance for elastic matching in object recognition.
Proceedings of the 13th International Conference on Pattern Recognition, 1996

Robust recognition of buildings in compressed large aerial scenes.
Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996

1995
Markov fusion of a pair of noisy images to detect intensity valleys.
Int. J. Comput. Vis., 1995

1994
Automated detection of cowhide defects using Markov random field techniques.
Proceedings of the 12th IAPR International Conference on Pattern Recognition, 1994

1992
Non-supervised segmentation using multi-level Markov random fields.
Proceedings of the 11th IAPR International Conference on Pattern Recognition, 1992

Association of adaptative smoothing and Markovian models for detection of valley bottoms on strongly noisy images [nondestructive testing].
Proceedings of the 11th IAPR International Conference on Pattern Recognition, 1992

1991
Image compression with back propagation: Improvement of the visual restoration using different cost functions.
Neural Networks, 1991

1989
A Study of Image Compression with Backpropagation.
Proceedings of the Neurocomputing - Algorithms, Architectures and Applications, Proceedings of the NATO Advanced Research Workshop on Neurocomputing Algorithms, Architectures and Applications, Les Arcs, France, February 27, 1989

Synchronous Boltzmann Machines and Gibbs Fields: Learning Algorithms.
Proceedings of the Neurocomputing - Algorithms, Architectures and Applications, Proceedings of the NATO Advanced Research Workshop on Neurocomputing Algorithms, Architectures and Applications, Les Arcs, France, February 27, 1989


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