Karim Seghouane

Adaptive complex-valued dictionary learning: Application to fMRI data analysis

Asif Iqbal, Mohamed Nait-Meziane, Abd-Krim Seghouane, Karim Abed-Meraim

Journal article  |  2020  |  Signal Processing

Complex-valued signals arise naturally in a wide-range of applications such as radar, magnetic resonance imaging (MRI), functional..

A Projection CCA Method for Effective fMRI Data Analysis.

Muhammad Ali Qadar, Abd-Krim Seghouane

Journal article  |  2019  |  IEEE Transactions on Biomedical Engineering

OBJECTIVE: Canonical correlation analysis (CCA) is a data-driven method that has been successfully used in functional magnetic res..

A alpha-Divergence-Based Approach for Robust Dictionary Learning

Asif Iqbal, Abd-Krim Seghouane

Journal article  |  2019  |  IEEE Transactions on Image Processing

In this paper, a robust sequential dictionary learning (DL) algorithm is presented. The proposed algorithm is motivated from the m..

Two dimensional CCA via penalized matrix decomposition for structure preserved fMRI data analysis

Muhammad Ali Qadar, Abdeldjalil Aissa-El-Bey, Abd-Krim Seghouane

Journal article  |  2019  |  Digital Signal Processing

Two dimensional canonical correlation analysis (2DCCA) is a data driven method that has been used to preserve the local spatial st..

Sparse Principal Component Analysis With Preserved Sparsity Pattern

Abd-Krim Seghouane, Navid Shokouhi, Inge Koch

Journal article  |  2019  |  IEEE Transactions on Image Processing

A Sequential Block-Structured Dictionary Learning Algorithm for Block Sparse Representations

Abd-Krim Seghouane, Asif Iqbal, Karim Abed-Meraim

Journal article  |  2019  |  IEEE Transactions on Computational Imaging

Dictionary learning algorithms have been successfully applied to a number of signal and image processing problems. In some applica..

Estimating the Number of Significant Canonical Coordinates

Abd-Krim Seghouane, Navid Shokouhi

Journal article  |  2019  |  IEEE Access

Breast mass is one of the most distinctive signs for the diagnosis of breast cancer, and the accurate segmentation of masses is cr..

Robust Dictionary Learning Using α-Divergence

A Iqbal, AK Seghouane

Conference Proceedings  |  2019  |  ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

© 2019 IEEE. In this paper, a robust sequential dictionary learning (DL) algorithm is presented. It is obtained by using a robust ..

Adaptive Subspace Detector in High Dimensional Space with Insufficient Training Data

AM Rekavandi, AK Seghouane, RJ Evans

Conference Proceedings  |  2019  |  ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

© 2019 IEEE. Adaptive subspace detectors (ASD) generalize matched subspace detectors (MSD) by accounting for possible correlation...

Sequential Structured Dictionary Learning for Block Sparse Representations

AK Seghouane, A Iqbal, K Abed-Meraim

Conference Proceedings  |  2019  |  ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

© 2019 IEEE. Dictionary learning algorithms have been successfully applied to a number of signal and image processing problems. In..

Motion Artefact Removal in Functional Near-infrared Spectroscopy Signals Based on Robust Estimation

M Wang, AK Seghouane

Conference Proceedings  |  2019  |  ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

© 2019 IEEE. Functional Near-InfraRed Spectroscopy (fNIRS) has gained widespread acceptance as a non-invasive neuroimaging modalit..

Robust Hemodynamic Response Function Estimation From fNIRS Signals

Abd-Krim Seghouane, Davide Ferrari

Journal article  |  2019  |  IEEE Transactions on Signal Processing

Consistent Estimation of Dimensionality for Data-Driven Methods in fMRI Analysis

Abd-Krim Seghouane, Navid Shokouhi

Journal article  |  2019  |  IEEE Transactions on Medical Imaging

Find the dimension that counts: Fast dimension estimation and Krylov PCA

S Ubaru, AK Seghouane, Y Saad

Conference Proceedings  |  2019  |  SIAM International Conference on Data Mining, SDM 2019

Copyright © 2019 by SIAM. High dimensional data and systems with many degrees of freedom are often characterized by covariance mat..

A dictionary learning algorithm for multi-subject fMRI analysis based on a hybrid concatenation scheme

Asif Iqbal, Abd-Krim Seghouane

Journal article  |  2018  |  Digital Signal Processing

The adaptive block sparse PCA and its application to multi-subject FMRI data analysis using sparse mCCA

Abd-Krim Seghouane, Asif Iqbal

Journal article  |  2018  |  Signal Processing

Consistent adaptive sequential dictionary learning

Abd-Krim Seghouane, Asif Iqbal

Journal article  |  2018  |  Signal Processing

Shared and Subject-Specific Dictionary Learning (ShSSDL) Algorithm for Multisubject fMRI Data Analysis

Asif Iqbal, Abd-Krim Seghouane, Tulay Adali

Journal article  |  2018  |  IEEE Transactions on Biomedical Engineering

Hybrid Joint Diagonalization Algorithms

Mohamed Nait-Meziane, Karim Abed-Meraim, Abd-Krim Karim Seghouane, Ammar Mesloub

Journal article  |  2018  |  IEEE Signal Processing Letters

Algorithms for two dimensional multi set canonical correlation analysis

Nandakishor Desai, Abd-Krim Seghouane, Marimuthu Palaniswami

Journal article  |  2018  |  Pattern Recognition Letters

Cortical Speech Processing in Postlingually Deaf Adult Cochlear Implant Users, as Revealed by Functional Near-Infrared Spectroscopy

Xin Zhou, Abd-Krim Seghouane, Adnan Shah, Hamish Innes-Brown, Will Cross, Ruth Litovsky, Colette M McKay

Journal article  |  2018  |  TRENDS IN HEARING

Two-Dimensional Whitening of Face Images for Improved PCA Performance

Abd-Krim Seghouane, Navid Shokouhi

Journal article  |  2018  |  IEEE Signal Processing Letters

PCCA: A PROJECTION CCA METHOD FOR EFFECTIVE FMRI DATA ANALYSIS

Muhammad Ali Qadar, Abd-Krim Seghouane

Conference Proceedings  |  2018  |  2018 25th IEEE International Conference on Image Processing (ICIP)

DICTIONARY LEARNING ALGORITHM FOR MULTI-SUBJECT FMRI ANALYSIS VIA TEMPORAL AND SPATIAL CONCATENATION

Asif Iqbal, Abd-Krim Seghouane

Conference Proceedings  |  2018  |  2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

AN ALGORITHM FOR MULTI SUBJECT FMRI ANALYSIS BASED ON THE SVD AND PENALIZED RANK-1 MATRIX APPROXIMATION

Asif Iqbal, Abd-Krim Seghouane

Conference Proceedings  |  2018  |  2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

An approach for sequential dictionary learning in nonuniform noise

A Iqbal, AK Seghouane

Conference Proceedings  |  2017  |  2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA)

Basis Expansion Approaches for Regularized Sequential Dictionary Learning Algorithms With Enforced Sparsity for fMRI Data Analysis

Abd-Krim Seghouane, Asif Iqbal

Journal article  |  2017  |  IEEE Transactions on Medical Imaging

fMRI hemodynamic response function estimation in autoregressive noise by avoiding the drift

Abd-Krim Seghouane, Adnan Shah, Chee-Ming Ting

Journal article  |  2017  |  Digital Signal Processing

Sequential Dictionary Learning From Correlated Data: Application to fMRI Data Analysis

Abd-Krim Seghouane, Asif Iqbal

Journal article  |  2017  |  IEEE Transactions on Image Processing

Fast Estimation of Approximate Matrix Ranks Using Spectral Densities

Shashanka Ubaru, Yousef Saad, Abd-Krim Seghouane

Journal article  |  2017  |  Neural Computation

Sparse and smooth canonical correlation analysis through rank-1 matrix approximation

Abdeldjalil Aissa-El-Bey, Abd-Krim Seghouane

Journal article  |  2017  |  EURASIP Journal on Advances in Signal Processing

BSMCCA: A BLOCK SPARSE MULTIPLE-SET CANONICAL CORRELATION ANALYSIS ALGORITHM FOR MULTI-SUBJECT FMRI DATA SETS

Abd-Krim Seghouane, Asif Iqbal, Nandakishor Desai

Conference Proceedings  |  2017  |  2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Multisubject fMRI Data Analysis via Two Dimensional Multi-set Canonical Correlation Analysis

Nandakishor Desai, Abd-Krim Seghouane, Marimuthu Palaniswami

Conference Proceedings  |  2017  |  2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)

A REGULARIZED SEQUENTIAL DICTIONARY LEARNING ALGORITHM FOR FMRI DATA ANALYSIS

Abd-Krim Seghouane, Asif Iqbal

Conference Proceedings  |  2017  |  2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP)

CSMSDL: A COMMON SEQUENTIAL DICTIONARY LEARNING ALGORITHM FOR MULTI-SUBJECT FMRI DATA SETS ANALYSIS

Abd-Krim Seghouane, Asif Iqbal

Conference Proceedings  |  2017  |  2017 IEEE International Conference on Image Processing (ICIP)

An Approach for Sequential Dictionary Learning in Nonuniform Noise

Asif Iqbal, Abd-Krim Seghouane

Conference Proceedings  |  2017  |  2017 INTERNATIONAL CONFERENCE ON DIGITAL IMAGE COMPUTING - TECHNIQUES AND APPLICATIONS (DICTA)

Improving the Incoherence of a Learned Dictionary via Rank Shrinkage

Shashanka Ubaru, Abd-Krim Seghouane, Yousef Saad

Journal article  |  2017  |  Neural Computation

SPARSE CANONICAL CORRELATION ANALYSIS BASED ON RANK-1 MATRIX APPROXIMATION AND ITS APPLICATION FOR FMRI SIGNALS

Abdeldjalil Aissa-El-Bey, Abd-Krim Seghouane

Conference Proceedings  |  2016  |  2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Connectivity in Language Areas of the Brain in Cochlear Implant Users as Revealed by fNIRS

Colette M McKay, Adnan Shah, Abd-Krim Seghouane, Xin Zhou, William Cross, Ruth Litovsky

Conference Proceedings  |  2016  |  PHYSIOLOGY, PSYCHOACOUSTICS AND COGNITION IN NORMAL AND IMPAIRED HEARING

LEARNING DICTIONARIES FROM CORRELATED DATA: APPLICATION TO FMRI DATA ANALYSIS

Abd-Krim Seghouane, Muhammad Usman Khalid

Conference Proceedings  |  2016  |  2016 IEEE International Conference on Image Processing (ICIP)

ESTIMATION OF HIGH-DIMENSIONAL CONNECTIVITY IN FMRI DATA VIA SUBSPACE AUTOREGRESSIVE MODELS

Chee-Ming Ting, Abd-Krim Seghouane, Sh-Hussain Salleh

Conference Proceedings  |  2016  |  2016 IEEE Statistical Signal Processing Workshop (SSP)

Is First-Order Vector Autoregressive Model Optimal for fMRI Data?

Chee-Ming Ting, Abd-Krim Seghouane, Muhammad Usman Khalid, Sh-Hussain Salleh

Journal article  |  2015  |  Neural Computation

Estimating Effective Connectivity from fMRI Data Using Factor-based Subspace Autoregressive Models

Chee-Ming Ting, Abd-Krim Seghouane, Sh-Hussain Salleh, AM Noor

Journal article  |  2015  |  IEEE Signal Processing Letters

Functional connectivity assessment of language areas in CI users using fNIRS

A Shah, A SEGHOUANE, CM McKay

Conference Proceedings  |  2015

A sequential dictionary learning algorithm with enforced sparsity

AK Seghouane, M Hanif

Conference Proceedings  |  2015  |  2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Multi-subject fMRI connectivity analysis using sparse dictionary learning and multiset canonical correlation analysis

MU Khalid, AK Seghouane

Conference Proceedings  |  2015  |  2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI)

Sparse Dictionary Learning for fMRI Analysis using Autocorrelation Maximization

MU Khalid, A Shah, A SEGHOUANE

Conference Proceedings  |  2015  |  2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Recovering HRFs from overlapping ROIs in fMRI data using thresholding correlations for sparse dictionary learning

A Shah, MU Khalid, A SEGHOUANE

Conference Proceedings  |  2015  |  2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Unsupervised detrending technique using sparse dictionary learning for fMRI preprocessing and analysis

MU Khalid, AK Seghouane

Conference Proceedings  |  2015  |  2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

© 2015 IEEE. This paper addresses the problem of scanner induced low frequency drift estimation in order to improve the significan..

A SEQUENTIAL DICTIONARY LEARNING ALGORITHM WITH ENFORCED SPARSITY

Abd-Krim Seghouane, Muhammad Hanif

Conference Proceedings  |  2015  |  2015 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (ICASSP)

Consistent estimation of the FMRI hemodynamic response function in AR(1) noise

AK Seghouane, A Shah

Conference Proceedings  |  2015  |  2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI)

Non-local Noise Estimation for Adaptive Image Denoising

Muhammad Hanif, Abd-Krim Seghouane

Conference Proceedings  |  2015  |  2015 INTERNATIONAL CONFERENCE ON DIGITAL IMAGE COMPUTING: TECHNIQUES AND APPLICATIONS (DICTA)

UNSUPERVISED DETRENDING TECHNIQUE USING SPARSE DICTIONARY LEARNING FOR fMRI PREPROCESSING AND ANALYSIS

Muhammad Usman Khalid, Abd-Krim Seghouane

Conference Proceedings  |  2015  |  2015 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (ICASSP)

Non-Local Noise Estimation for Adaptive Image Denoising

M Hanif, AK Seghouane

Conference Proceedings  |  2015  |  Digital Image Computing: Techniques and Applications (DICTA), 2015 International Conference on

An Integrated Framework for Joint HRF and Drift Estimation and HbO/HbR Signal Improvement in fNIRS Data

Adnan Shah, Abd-Krim Seghouane

Journal article  |  2014  |  IEEE Transactions on Medical Imaging

Prewhitening High-Dimensional fMRI Data Sets Without Eigendecomposition

Abd-Krim Seghouane, Yousef Saad

Journal article  |  2014  |  Neural Computation

CONSTRAINED MAXIMUM LIKELIHOOD BASED EFFICIENT DICTIONARY LEARNING FOR fMRI ANALYSIS

Muhammad Usman Khalid, Abd-Krim Seghouane

Conference Proceedings  |  2014  |  2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014

BLIND IMAGE DEBLURRING USING NON-NEGATIVE SPARSE APPROXIMATION

Muhammad Hanif, Abd-Krim Seghouane

Conference Proceedings  |  2014  |  2014 IEEE International Conference on Image Processing (ICIP)

ESTIMATION OF HIGH-DIMENSIONAL BRAIN CONNECTIVITY FROM FMRI DATA USING FACTOR MODELING

Chee-Ming Ting, Abd-Krim Seghouane, Sh-Hussain Salleh, AB Mohd Noor

Conference Proceedings  |  2014  |  2014 IEEE Workshop on Statistical Signal Processing (SSP)

A SINGLE SVD SPARSE DICTIONARY LEARNING ALGORITHM FOR FMRI DATA ANALYSIS

Muhammad Usman Khalid, Abd-Krim Seghouane

Conference Proceedings  |  2014  |  2014 IEEE Workshop on Statistical Signal Processing (SSP)

Consistent hemodynamic response estimation function in fMRI using sparse prior information

undefined Seghouane, L JOHNSTON

Conference Proceedings  |  2014  |  2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)

AN EFFECTIVE IMAGE RESTORATION USING KULLBACK-LEIBLER DIVERGENCE MINIMIZATION

Muhammad Hanif, Abd-Krim Seghouane

Conference Proceedings  |  2014  |  2014 IEEE International Conference on Image Processing (ICIP)

MAXIMUM LIKELIHOOD ORTHOGONAL DICTIONARY LEARNING

Muhammad Hanif, Abd-Krim Seghouane

Conference Proceedings  |  2014  |  2014 IEEE Workshop on Statistical Signal Processing (SSP)

SPARSE ESTIMATION OF THE HEMODYNAMIC RESPONSE FUNCTION IN FUNCTIONAL NEAR INFRARED SPECTROSCOPY

Abd-Krim Seghouane, Adnan Shah

Conference Proceedings  |  2014  |  2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

A MODEL-FREE APPROACH TO INCREASING THE EFFECT SIZE OF FNIRS DATA

Adnan Shah, Abd-Krim Seghouane

Conference Proceedings  |  2014  |  2014 IEEE Workshop on Statistical Signal Processing (SSP)

FMRI: PRINCIPLES AND ANALYSIS

Abd-Krim Seghouane

Conference Proceedings  |  2013  |  Proceedings of the 2013 8th International Workshop on Systems, Signal Processing and their Applications

CONSISTENT HEMODYNAMIC RESPONSE FUNCTION ESTIMATION IN FUNCTIONAL MRI BY FIRST ORDER DIFFERENCING

Abd-Krim Seghouane, Adnan Shah

Conference Proceedings  |  2013  |  2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro

IMPROVING FUNCTIONAL CONNECTIVITY DETECTION IN FMRI BY COMBINING SPARSE DICTIONARY LEARNING AND CANONICAL CORRELATION ANALYSIS

Muhammad Usman Khalid, Abd-Krim Seghouane

Conference Proceedings  |  2013  |  2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro

MODEL-FREE OPTIMAL DE-DRIFTING AND ENHANCED DETECTION IN FMRI DATA

Adnan Shah, Abd-Krim Seghouane

Conference Proceedings  |  2013  |  Proceedings of the 2013 IEEE International Workshop on Machine Learning for Signal Processing

AN EM-BASED HYBRID FOURIER-WAVELET IMAGE DECONVOLUTION ALGORITHM

Muhammad Hanif, Abd-Krim Seghouane

Conference Proceedings  |  2013  |  Proceedings of the 2013 20th IEEE International Conference on Image Processing

CONSISTENT ESTIMATION OF THE HEMODYNAMIC RESPONSE FUNCTION IN FNIRS

Adnan Shah, Abd-Krim Seghouane

Conference Proceedings  |  2013  |  Proceedings of the 2013 IEEE International Conference on Acoustics, Speech and Signal Processing

ESTIMATION OF HEMODYNAMIC RESPONSE FUNCTIONS FOR UN-DELINEATED OVERLAPPING ROIS IN FMRI DATA BASED ON SPARSE DICTIONARY LEARNING

Adnan Shah, Abd-Krim Seghouane

Conference Proceedings  |  2013  |  2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro

Functional brain connectivity as revealed by singular spectrum analysis

AK Seghouane, A Shah

Journal article  |  2012  |  Conf Proc IEEE Eng Med Biol Soc

Comparing causality measures of fMRI data using PCA, CCA and vector autoregressive modelling.

Journal article  |  2012  |  Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference

Identification of Directed Influence: Granger Causality, Kullback-Leibler Divergence, and Complexity

Abd-Krim Seghouane, Shun-ichi Amari

Journal article  |  2012  |  Neural Computation

HRF Estimation in fMRI Data With an Unknown Drift Matrix by Iterative Minimization of the Kullback-Leibler Divergence

Abd-Krim Seghouane, Adnan Shah

Journal article  |  2012  |  IEEE TRANSACTIONS ON MEDICAL IMAGING

FUNCTIONAL BRAIN CONNECTIVITY AS REVEALED BY SINGULAR SPECTRUM ANALYSIS

Abd-Krim Seghouane, Adnan Shah

Conference Proceedings  |  2012  |  Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

HIERARCHICAL SPARSE BRAIN NETWORK ESTIMATION

Abd-Krim Seghouane, Muhammad Usman Khalid

Conference Proceedings  |  2012  |  IEEE International Workshop on Machine Learning for Signal Processing

FMRI ACTIVATION DETECTION USING A VARIANT OF AKAIKE INFORMATION CRITERION

Abd-Krim Seghouane

Conference Proceedings  |  2012  |  Statistical Signal Processing Workshop (SSP)

Adaptive 2DCCA based approach for improving spatial specificity of activation detection in functional MRI

Muhammad Usman Khalid, Adnan Shah, Abd-Krim Seghouane

Conference Proceedings  |  2012  |  International Conference on Digital Image Computing Techniques and Applications

Comparing causality measures of fMRI data using PCA, CCA and vector autoregressive modelling.

A Shah, MU Khalid, AK Seghouane

Journal article  |  2012  |  Conf Proc IEEE Eng Med Biol Soc

Blurred Image Deconvolution using Gaussian Scale Mixtures Model in Wavelet Domain.

Muhammad Hanif, Abd-Krim Seghouane

Conference Proceedings  |  2012  |  International Conference on Digital Image Computing Techniques and Applications

A KULLBACK-LEIBLER DIVERGENCE APPROACH FOR WAVELET-BASED BLIND IMAGE DECONVOLUTION

Abd-Krim Seghouane, Muhammad Hanif

Conference Proceedings  |  2012  |  IEEE International Workshop on Machine Learning for Signal Processing

Comparing causality measures of fMRI data using PCA, CCA and Vector Autoregressive Modelling

Adnan Shah, Muhammad Usman Khalid, Abd-Krim Seghouane

Conference Proceedings  |  2012  |  IEEE Engineering in Medicine and Biology Society Conference Proceedings

A Kullback-Leibler Methodology for Unconditional ML DOA Estimation in Unknown Nonuniform Noise

Abd-Krim Seghouane

Journal article  |  2011  |  IEEE Transactions on Aerospace and Electronic Systems

A Kullback-Leibler Divergence Approach to Blind Image Restoration

Abd-Krim Seghouane

Journal article  |  2011  |  IEEE Transactions on Image Processing

New AIC Corrected Variants for Multivariate Linear Regression Model Selection

Abd-Krim Seghouane

Journal article  |  2011  |  IEEE Transactions on Aerospace and Electronic Systems

From Point to Local Neighborhood: Polyp Detection in CT Colonography Using Geodesic Ring Neighborhoods

Ju Lynn Ong, Abd-Krim Seghouane

Journal article  |  2011  |  IEEE Transactions on Image Processing

Feature selection using mutual information in CT colonography

Ju Lynn Ong, Abd-Krim Seghouane

Journal article  |  2011  |  Pattern Recognition Letters

QUANTIFYING INFORMATION FLOW IN FMRI USING THE KULLBAKC-LEIBLER DIVERGENCE

Abd-Krim Seghouane

Conference Proceedings  |  2011  |  International Symposium on Biomedical Imaging

A Kullback-Leibler methodology for HRF estimation in fMRI data.

Journal article  |  2010  |  Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference

MAXIMUM LIKELIHOOD BLIND IMAGE RESTORATION VIA ALTERNATING MINIMIZATION

Abd-Krim Seghouane

Conference Proceedings  |  2010  |  International Conference on Image Processing, ICIP

GEODESIC-RING BASED CURVATURE MAPS FOR POLYP DETECTION IN CT COLONOGRAPHY

Abd-Krim Seghouane, Ju Lynn Ong

Conference Proceedings  |  2010  |  International Conference on Image Processing, ICIP

Asymptotic bootstrap corrections of AIC for linear regression models

Abd-Krim Seghouane

Journal article  |  2010  |  Signal Processing

EFFICIENT FEATURE SELECTION FOR POLYP DETECTION

Abd-Krim Seghouane, Ju Lynn Ong

Conference Proceedings  |  2010  |  International Conference on Image Processing, ICIP

A Kullback-Leibler methodology for HRF estimation in fMRI data.

AK Seghouane

Journal article  |  2010  |  Conf Proc IEEE Eng Med Biol Soc

A Kullback-Leibler Methodology for HRF Estimation in fMRI Data

Abd-Krim Seghouane

Conference Proceedings  |  2010  |  Annual International Conference of the IEEE Engineering in Medicine and Biology Society

A BAYESIAN MODEL SELECTION APPROACH TO FMRI ACTIVATION DETECTION

Abd-Krim Seghouane, Ju Lynn Ong

Conference Proceedings  |  2010  |  International Conference on Image Processing, ICIP

Model Selection Criteria for Image Restoration

Abd-Krim Seghouane

Journal article  |  2009  |  IEEE Transactions on Neural Networks

Activation Detection in fMRI Using Jeffrey Divergence

Abd-Krim Seghouane

Conference Proceedings  |  2009  |  AIP Conference Proceedings

FALSE POSITIVE REDUCTION IN CT COLONOGRAPHY USING SPECTRAL COMPRESSION AND CURVATURE TENSOR SMOOTHING OF SURFACE GEOMETRY

Ju Lynn Ong, Abd-Krim Seghouane

Conference Proceedings  |  2009  |  IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009

MULTIRESOLUTION COLONIC POLYP DETECTION IN CT COLONOGRAPHY USING SPHERICAL WAVELETS

Abd-Krim Seghouane, Ju Lynn Ong

Conference Proceedings  |  2009  |  IEEE Workshop on Statistical Signal Processing Proceedings

Maximum a Posteriori Maximum Entropy HRF Estimation in Event Related fMRI

Abd-Krim Seghouane

Conference Proceedings  |  2009  |  AIP Conference Proceedings

Mean shape models for polyp detection in ct colonography

JL Ong, AK Seghouane, K Osborn

Conference Proceedings  |  2008  |  Proceedings - Digital Image Computing: Techniques and Applications, DICTA 2008

On the deterministic CRB for DOA estimation in unknown noise fields using sparse sensor arrays

Martin Kleinsteuber, Abd-Krint Seghouane

Journal article  |  2008  |  IEEE Transactions on Signal Processing

A Method for Classification of Candidate Lesions in CT Colonography

JL Ong, AK Seghouane

Conference Proceedings  |  2008  |  Proceedings of the MICCAI 2008 Workshop on Computational and Visualization Challenges in the New Era of Virtual Colonoscopy

AN ITERATIVE PROJECTIONS ALGORITHM FOR ML FACTOR ANALYSIS

Abd-Krim Seghouane

Conference Proceedings  |  2008  |  Proceedings of the 2008 IEEE Workshop on Machine Learning for Signal Processing, MLSP 2008

Feature Selection with BIC and PCA for Polyp Detection in CT Colonography

AK Seghouane, J Nappi, H Yoshida

Conference Proceedings  |  2008  |  Proceedings of the MICCAI 2008 Workshop on Computational and Visualization Challenges in the New Era of Virtual Colonoscopy

A NOVEL AIC VARIANT FOR LINEAR REGRESSION MODELS BASED ON A BOOTSTRAP CORRECTION

Abd-Krim Seghouane

Conference Proceedings  |  2008  |  Proceedings of the 2008 IEEE Workshop on Machine Learning for Signal Processing, MLSP 2008

A note on image restoration using C-p and MSE

Abd-Krim Seghouane

Journal article  |  2008  |  IEEE Signal Processing Letters

Electronic Colon Cleansing in the Wavelet Domain with a Light Expectation-Maximization Segmentation from a Coarse Scale

E Morin, AK Seghouane

Conference Proceedings  |  2008  |  Proceedings of the MICCAI 2008 Workshop on Computational and Visualization Challenges in the New Era of Virtual Colonoscopy

Polyp detection in CT colonography based on shape characteristics and Kullback-Leibler divergence

Ju Lynn Ong, Abd-Krim Seghouane, Kevin Osborn

Conference Proceedings  |  2008  |  5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings

A corrected version of KIC for robust model selection in small samples

AK Seghouane

Conference Proceedings  |  2007  |  2007 9th International Symposium on Signal Processing and Its Applications

Bayesian estimation of the number of principal components

Abd-Krim Seghouane, Andrzej Cichocki

Journal article  |  2007  |  Signal Processing

The AIC criterion and symmetrizing the Kullback-Leibler divergence

Abd-Krim Seghouane, Shun-Ichi Amari

Journal article  |  2007  |  IEEE Transactions on Neural Networks

Maximum a posteriori maximum entropy signal denoising

Abd-Krim Seghouane, Luc Knockaert

Conference Proceedings  |  2007  |  AIP Conference Proceedings

Local convergence properties of fastica and some generalisations

K Hüper, H Shen, AK Seghouane

Conference Proceedings  |  2006  |  ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Vector autoregressive model-order selection from finite samples using Kullback's symmetric divergence

Abd-Krim Seghouane

Journal article  |  2006  |  IEEE Transactions on Circuits and Systems I: Regular Papers

A note on overfitting properties of KIC and KICc

Abd-Krim Seghouane

Journal article  |  2006  |  Signal Processing

Multivariate regression model selection from small samples using Kullback's symmetric divergence

Abd-Krim Seghouane

Journal article  |  2006  |  Signal Processing

A model selection approach to signal denoising using Kullback's symmetric divergence

Maiza Bekara, Luc Knockaert, Abd-Krim Seghouane, Gilles Fleury

Journal article  |  2006  |  Signal Processing

The Akaike information criterion with parameter uncertainty

Abd-Krim Seghouane

Conference Proceedings  |  2006  |  Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 2006.

A Kullback's symmetric divergence criterion with application to linear regression and time series model

H Belkacemi, AK Seghouane

Conference Proceedings  |  2005  |  IEEE Workshop on Statistical Signal Processing Proceedings

A criterion for model selection in the presence of incomplete data based on Kullback's symmetric divergence

AK Seghouane, M Bekara, G Fleury

Journal article  |  2005  |  Signal Processing

A criterion for vector autoregressive model selection based on Kullback's symmetric divergence

AK Seghouane

Conference Proceedings  |  2005  |  Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.

Multivariate regression model selection with KIC for extrapolation cases

AK Seghouane

Conference Proceedings  |  2005  |  Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.

A small sample model selection criterion based on Kullback's symmetric divergence

AK Seghouane, M Bekara

Journal article  |  2004  |  IEEE Transactions on Signal Processing

Regularizing the effect of input noise injection in feedforward neural networks training

AK Seghouane, Y Moudden, G Fleury

Journal article  |  2004  |  Neural Computing and Applications

An adaptive bayesian wavelet thresholding approach to multifractal signal denoising

AK Seghouane

Conference Proceedings  |  2004  |  Report - Helsinki University of Technology, Signal Processing Laboratory

A small sample model selection criterion based on Kullback's symmetric divergence

AK Seghouane, M Bekara, G Fleury

Conference Proceedings  |  2003  |  ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Seismic signal denoising using model selection

M Bekara, L Knockaert, AK Seghouane, G Fleury

Conference Proceedings  |  2003  |  Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology (IEEE Cat. No.03EX795)

A bootstrap model selection criterion based on Kullback's symmetric divergence

AK Seghouane, L De Lathawer

Conference Proceedings  |  2003  |  IEEE Workshop on Statistical Signal Processing, 2003

Extraction of peak pressure position information from the spark-plug ionization signal

Y Moudden, AK Seghouane, O Boubal

Journal article  |  2002  |  Computer Standards & Interfaces

On learning feedforward neural networks with noise injection into inputs

AK Seghouane, Y Moudden, G Fleury

Conference Proceedings  |  2002  |  Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing

Extraction of peak pressure position information from the spark-plug ionization signal

Y Moudden, AK Seghouane, O Boubal

Conference Proceedings  |  2001  |  Proceedings of the International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications. IDAACS'2001 (Cat. No.01EX510)

A cost function for learning feedforward neural networks subject to noisy inputs

AK Seghouane, G Fleury

Conference Proceedings  |  2001  |  Proceedings of the Sixth International Symposium on Signal Processing and its Applications (Cat.No.01EX467)