Suetake, N.[Noriaki]
* 2007: Robust Point Spread Function Estimation for Out-of-Focus Blurred and Noisy Images Based on a Distribution of Gradient Vectors on the Polar Plane, A
* 2009: Sharpness preserving image enlargement by using self-decomposed codebook and Mahalanobis distance
* 2010: Hellinger Distance-Based Parameter Tuning for epsilon-Filter
* 2010: Hierarchal Predefined Codebook for High-Frequency Component Augmentation Image Enlargement
* 2010: Image Enlargement with Lost High-Frequency Components Estimation Using Clustered Eigenspace-BPLP
* 2010: Threshold Tuning of Switching Median Filter Employing Distribution Distance
* 2011: Structural-context-preserving image abstraction by using space-filling curve based on minimum spanning tree
* 2013: Image coarsening by using space-filling curve for decomposition-based image enhancement
* 2015: Color Conversion for Color Blindness Employing Multilayer Neural Network with Perceptual Model
* 2015: Color Quantization Based on Vector Error Diffusion and Particle Swarm Optimization Considering Human Visibility, A
* 2018: HUE-Preserving Color Contrast Enhancement Method Without Gamut Problem by Using Histogram Specification
* 2018: Illuminant Color Estimation Method Based on Pseudo-Detection of Specular Reflection
* 2019: Hue-Preserving Color Image Enhancement on a Vector Space of Convex Combination Coefficients
* 2019: Image Lightness Conversion and Sharpening Taking Account of Visual Features of Elderly Person
* 2019: Saturation-Based Multi-Exposure Image Fusion Employing Local Color Correction
* 2020: Histogram Specification-Based Image Enhancement for Backlit Image
* 2021: Single Backlit Image Enhancement Method for Improvement of Visibility of Dark Part, A
* 2022: Fusion-Based Backlit Image Enhancement Using Multiple S-Type Transformations For Convex Combination Coefficients
* 2022: Low-Light Image Enhancement Method by Using a Modified Gamma Transform for Convex Combination Coefficients
Includes: Suetake, N.[Noriaki] Suetake, N.
19 for Suetake, N.
Suetens, P.
* 1981: Semiautomatic Digitization Method and the Use of Spline Functions in Processing Line Drawings, A
* 1983: 3D Reconstruction of the Blood Vessels of the Brain from a Stereoscopic Pair of Subtraction Angiograms
* 1983: Attempt to Reconstruct the Cerebral Bloodvessels from a Lateral and a Frontal Angiogram, An
* 1987: Using Expert Systems for Image Understanding
* 1988: Knowledge-Based Improvement of Automatic Image Interpretation for Restricted Scenes: Two Case Studies
* 1988: Knowledge-Based System for the Delineation of Blood Vessels on Subtraction Angiograms, A
* 1989: Recognition of the coronary blood vessels on angiograms using hierarchical model-based iconic search
* 1991: Iconic Representation of Visual Data and Models
* 1991: Road Extraction from Multi-Temporal Satellite Images by an Evidential Reasoning Approach
* 1992: Some Computational Strategies for Object Recognition
* 1993: Automated contour detection of the left ventricle in short axis view in 2D echocardiograms
* 1993: Computer-Assisted Stereotaxic Neurosurgery
* 1994: Continuous Voxel Classification by Stochastic Relaxation - Theory and Application to MR-Imaging and MR-Angiography
* 1994: Registration of 3D Multimodality Medical Images Using Surfaces and Point Landmarks
* 1995: 3D Multi-Modality Medical Image Registration Using Feature Space Clustering
* 1995: Computer-Aided Interactive Object Delineation Using an Intelligent Paintbrush Technique
* 1996: Accurate Segmentation of Blood Vessels from 3D Medical Images
* 1996: Multi-Resolution Contrast Amplification in Digital Radiography with Compensation for Scattered Radiation
* 1996: Multimodality Image Registration by Maximization of Mutual Information
* 1997: Comparison and Evaluation of Retrospective Intermodality Registration Techniques
* 1997: Multimodality Image Registration by Maximization of Mutual Information
* 1999: Automated model-based bias field correction of MR images of the brain
* 1999: Automated model-based tissue classification of MR images of the brain
* 2001: Automated segmentation of multiple sclerosis lesions by model outlier detection
* 2001: iterative maximum-likelihood polychromatic algorithm for CT, An
* 2001: Retrospective Heel Effect Correction in Conventional Radiography
* 2002: Echocardiographic strain and strain-rate imaging: a new tool to study regional myocardial function
* 2003: Characterization of pinhole SPECT acquisition geometry
* 2003: Medical image registration using mutual information
* 2003: Temporal subtraction of thorax CR images using statistical deformation model
* 2003: unifying framework for partial volume segmentation of brain MR images, A
* 2004: Anatomical-based FDG-PET reconstruction for the detection of hypo-metabolic regions in epilepsy
* 2005: Augmented Reality System for Patient-Specific Guidance of Cardiac Catheter Ablation Procedures, An
* 2005: Optimization of Geometrical Calibration in Pinhole SPECT
* 2005: Partial surface integration based on variational implicit functions and surfaces for 3D model building
* 2005: Robust and accurate partial surface registration based on variational implicit surfaces for automatic 3D model building
* 2006: Comparison Between Parzen Window Interpolation and Generalised Partial Volume Estimation for Nonrigid Image Registration Using Mutual Information
* 2006: Nonrigid Registration of Multitemporal CT and MR Images for Radiotherapy Treatment Planning
* 2006: Unified Framework for Atlas Based Brain Image Segmentation and Registration, A
* 2007: Minimal Shape and Intensity Cost Path Segmentation
* 2007: Statistical Approach to Determine Symmetrical Solutions for the Registration of 3D Knee Implant Models to Sagittal Fluoroscopy Images, A
* 2008: 3D Face Recognition using Point Cloud Kernel Correlation
* 2008: Effect of Overlapping Projections on Reconstruction Image Quality in Multipinhole SPECT
* 2008: statistical framework for the registration of 3D knee implant components to single-plane X-ray images, A
* 2008: Three-Dimensional Cardiac Strain Estimation Using Spatio-Temporal Elastic Registration of Ultrasound Images: A Feasibility Study
* 2009: Image Segmentation Using Graph Representations and Local Appearance and Shape Models
* 2009: Isometric deformation modeling using singular value decomposition for 3D expression-invariant face recognition
* 2009: Isometric Deformation Modelling for Object Recognition
* 2010: Automated Cephalometric Landmark Identification Using Shape and Local Appearance Models
* 2010: Automatic 3-D Breath-Hold Related Motion Correction of Dynamic Multislice MRI
* 2010: Fusion of an Isometric Deformation Modeling Approach Using Spectral Decomposition and a Region-Based Approach Using ICP for Expression-Invariant 3D Face Recognition
* 2010: Inelastic Deformation Invariant Modal Representation for Non-rigid 3D Object Recognition
* 2010: Nonrigid Image Registration Using Conditional Mutual Information
* 2010: Semisupervised Probabilistic Clustering of Brain MR Images Including Prior Clinical Information
* 2010: SHREC'10 Track: Non-Rigid 3d Shape Retrieval
* 2011: Automated Cephalometric Landmark Localization Using Sparse Shape and Appearance Models
* 2011: Dense shape correspondences using spectral high-order graph matching
* 2011: Fuzzy Statistical Unsupervised Learning Based Total Lesion Metabolic Activity Estimation in Positron Emission Tomography Images
* 2011: Robust point set registration using EM-ICP with information-theoretically optimal outlier handling
* 2011: SHREC '11 Track: 3d Face Models Retrieval
* 2011: SHREC'11 Track: Shape Retrieval On Non-Rigid 3d Watertight Meshes
* 2011: SHREC'11: Robust Feature Detection And Description Benchmark
* 2012: Comparative Study of 3-D Face Recognition Under Expression Variations, A
* 2012: Integrating Statistical Shape Models into a Graph Cut Framework for Tooth Segmentation
* 2013: comparison of methods for non-rigid 3D shape retrieval, A
* 2013: meshSIFT: Local surface features for 3D face recognition under expression variations and partial data
* 2013: SLAC: Statistical total lesion metabolic activity computation by fuzzy unsupervised learning of PET images
* 2014: Unsupervised Segmentation, Clustering, and Groupwise Registration of Heterogeneous Populations of Brain MR Images
* 2017: Robust Model-Based Registration of Cardiac MR Images for T1 and ECV Mapping
Includes: Suetens, P. Suetens, P.[Paul]
69 for Suetens, P.
Suetin, M.R.[Marat R.]
* 2020: Use of Machine Learning Methods to Detect Defects in Images of Metal Structures, The
Suetomi, T.
* 2014: Vehicle Active Steering Control System Based on Human Mechanical Impedance Properties of the Arms
Suetsugu, T.
* 2012: Camera-Driven Power Management of Computer Display, A
Suetsugu, Y.[Yoshihisa]
* 2021: Removing Raindrops from a Single Image using Synthetic Data