Seghedoni, F.[Fabrizio]
* 2006: Fast Dynamic Mosaicing and Person Following
Seghers, D.
* 2007: Minimal Shape and Intensity Cost Path Segmentation
* 2009: Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets
* 2009: Image Segmentation Using Graph Representations and Local Appearance and Shape Models
Includes: Seghers, D. Seghers, D.[Dieter]
Seghier, M.L.[Mohamed L.]
* 2019: Medical imaging: A new era of precision and holistic imaging
* 2020: COVID-19 pandemic: What can bioengineers, computer scientists and big data specialists bring to the table, The
* 2022: Ten simple rules for reporting machine learning methods implementation and evaluation on biomedical data
* 2023: Using ChatGPT and other AI-assisted tools to improve manuscripts readability and language
Seghini, A.[Alessandra]
* 2007: Some Remarks on Perspective Shape-from-Shading Models
Seghiouer, H.
* 2017: Adaptive e-learning system based on learning style and ant colony optimization
Seghir, Z.A.[Zianou Ahmed]
* 2009: Image Quality Assessment Based on Edge-Region Information and Distorted Pixel for JPEG and JPEG2000
* 2011: Edge-region information measure based on deformed and displaced pixel for image quality assessment
* 2020: AdaBoost neural network and cyclopean view for no-reference stereoscopic image quality assessment
* 2021: Perceptual image quality assessment based on gradient similarity and Ruderman operator
* 2021: Re-weighting features selection based on wrapper filter and genetic algorithms for figurative images recognition
Seghouane, A.
* 2012: Adaptive 2DCCA Based Approach for Improving Spatial Specificity of Activation Detection in Functional MRI
* 2018: PCCA: A Projection CCA Method for Effective FMRI Data Analysis
* 2019: alpha-Divergence-Based Approach for Robust Dictionary Learning, An
* 2019: Consistent Estimation of Dimensionality for Data-Driven Methods in fMRI Analysis
Seghouane, A.K.
* 2008: Mean Shape Models for Polyp Detection in CT Colonography
* 2008: Note on Image Restoration Using Cp and MSE, A
* 2010: Bayesian model selection approach to fMRI activation detection, A
* 2010: Efficient feature selection for polyp detection
* 2010: Geodesic-ring based curvature maps for polyp detection in CT colonography
* 2010: Maximum likelihood blind image restoration via alternating minimization
* 2011: Feature selection using mutual information in CT colonography
* 2011: From Point to Local Neighborhood: Polyp Detection in CT Colonography Using Geodesic Ring Neighborhoods
* 2011: Kullback-Leibler Divergence Approach to Blind Image Restoration, A
* 2012: Blurred Image Deconvolution Using Gaussian Scale Mixtures Model in Wavelet Domain
* 2012: HRF Estimation in fMRI Data With an Unknown Drift Matrix by Iterative Minimization of the Kullback-Leibler Divergence
* 2013: EM-based hybrid Fourier-wavelet image deconvolution algorithm, An
* 2014: Blind image deblurring using non-negative sparse approximation
* 2014: effective image restoration using Kullback-Leibler divergence minimization, An
* 2014: Integrated Framework for Joint HRF and Drift Estimation and HbO/HbR Signal Improvement in fNIRS Data, An
* 2015: Estimating Effective Connectivity from fMRI Data Using Factor-based Subspace Autoregressive Models
* 2015: Non-Local Noise Estimation for Adaptive Image Denoising
* 2016: Learning dictionaries from correlated data: Application to fMRI data analysis
* 2017: Approach for Sequential Dictionary Learning in Nonuniform Noise, An
* 2017: Basis Expansion Approaches for Regularized Sequential Dictionary Learning Algorithms With Enforced Sparsity for fMRI Data Analysis
* 2017: CSMSDL: A common sequential dictionary learning algorithm for multi-subject FMRI data sets analysis
* 2017: Sequential Dictionary Learning From Correlated Data: Application to fMRI Data Analysis
* 2018: Algorithms for two dimensional multi set canonical correlation analysis
* 2018: Hybrid Joint Diagonalization Algorithms
* 2018: Two-Dimensional Whitening of Face Images for Improved PCA Performance
* 2019: Sparse Principal Component Analysis With Preserved Sparsity Pattern
* 2020: Robust Principal Component Analysis Using Alpha Divergence
* 2020: Robust Structured Dictionary Learning For Block Sparse Representations Using a-Divergence
* 2020: Sparsity Preserved Canonical Correlation Analysis
* 2021: Robust Subspace Detectors Based on a-Divergence With Application to Detection in Imaging
* 2023: RBDL: Robust block-Structured dictionary learning for block sparse representation
Includes: Seghouane, A.K. Seghouane, A.K.[Abd-Krim]
31 for Seghouane, A.K.
Seghrouchni, A.E.F.[Amal El Fallah]
* 2024: Auto-BPA: An Enhanced Ball-Pivoting Algorithm with Adaptive Radius using Contextual Bandits