Eklund, A.[Anders]
* 2010: Brain Computer Interface for Communication Using Real-Time fMRI, A
* 2011: GPU accelerated interactive interface for exploratory functional connectivity analysis of FMRI data, A
* 2011: Using the Local Phase of the Magnitude of the Local Structure Tensor for Image Registration
* 2012: functional connectivity inspired approach to non-local fMRI analysis, A
* 2016: Enhancement of micro-channels within the human mastoid bone based on local structure tensor analysis
* 2017: Bayesian Diffusion Tensor Estimation with Spatial Priors
* 2019: Generating Diffusion MRI Scalar Maps from T1 Weighted Images Using Generative Adversarial Networks
* 2021: What is the Best Data Augmentation for 3D Brain Tumor Segmentation?
Includes: Eklund, A.[Anders] Eklund, A.
8 for Eklund, A.
Eklund, J.E.
* 1996: Global Feature-Extraction Operations For Near-Sensor Image-Processing
Eklund, L.[Lauri]
* 2014: Detection of Tumor Cell Spheroids from Co-cultures Using Phase Contrast Images and Machine Learning Approach
* 2014: Segmentation of Cells from Spinning Disk Confocal Images Using a Multi-stage Approach
* 2015: novel feature descriptor based on microscopy image statistics, A
* 2016: Cell proposal network for microscopy image analysis
* 2017: Towards Virtual H E Staining of Hyperspectral Lung Histology Images Using Conditional Generative Adversarial Networks
Includes: Eklund, L.[Lauri] Eklund, L.
Eklund, M.
* 1994: Visual Servoing using Correlation Filters
* 1995: Adaptive Visual Tracking Algorithm and Real Time Implementation
Eklund, N.H.W.
* 2006: Efficient Chromosome Encoding and Problem-Specific Mutation Methods for the Flexible Bay Facility Layout Problem
* 2006: Using Genetic Algorithms to Estimate Confidence Intervals for Missing Spatial Data
Eklund, P.W.[Peter W.]
* 2024: Omnidirectional Video Super-Resolution Using Deep Learning
Eklundh, J.
* 1996: Seeing the Obvious
Eklundh, J.O.
* 1978: Convergence Properties of Relaxation
* 1978: Relaxation Methods in Multispectral Pixel Classification
* 1979: On the Use of Fourier Phase Features for Texture Discrimination
* 1979: Peak Detection Using Difference Operators
* 1980: Relaxation Method for Multispectral Pixel Classification, A
* 1980: Some Relaxation Experiments Using Triples of Pixels
* 1981: Image Smoothing Based on Neighbor Linking
* 1981: Relaxation: Evaluation and Applications
* 1982: Edge Detection using the Marr-Hildrith Operator with Different Sizes
* 1982: Knowledge Based Image Analysis
* 1982: Some Properties of Stochastic Labeling Procedures
* 1983: Structured Approach to Segmentation of Aerial Photographs, A
* 1984: Robust Shape Description Based On Curve Fitting
* 1986: Classification of Multispectral Images using Associative Nets
* 1986: On Projective Geometry and the Recovery of 3-D Structure
* 1986: Shape Representation by Multiscale Contour Approximation
* 1987: On Projective Geometry and the Recovery of 3-D Structure
* 1987: Texture Discrimination by Projective Invariants
* 1989: Rigid Body Motion Analysis from the Correspondence of Interest Points
* 1989: Shape Representation by Multiscale Contour Approximation
* 1990: Guiding Early Visual Processing with a Scale-Space Primal Sketch
* 1990: Head-Eye System for Active, Purposive Computer Vision, A
* 1990: Object Detection Using Model Based Prediction and Motion Parallax
* 1990: On Scale and Resolution in Active Analysis of Local Image Structure
* 1990: On Scale and Resolution in Active Analysis of Local Image Structure
* 1990: On Scale and Resolution in the Analysis of Local Image Structure
* 1990: On Scale and Resolution in the Analysis of Local Image Structure
* 1990: On the Computation of a Scale-Space Primal Sketch
* 1990: Scale Detection and Region Extraction from a Scale-Space Primal Sketch
* 1991: Analysis of Aerosol Images using the Scale-Space Primal Sketch
* 1991: Analysis of Aerosol Images using the Scale-Space Primal Sketch
* 1991: On the Computation of a Scale-Space Primal Sketch
* 1991: On the Computation of a Scale-Space Primal Sketch
* 1991: Qualitative Shape: Some Computational Aspects
* 1991: Qualitative Shape: Some Computational Aspects
* 1991: Shape Representation by Multiscale Contour Approximation
* 1991: Stereovision and Motion for Advanced Space Robotics
* 1991: Stereovision and Motion for Advanced Space Robotics
* 1992: Active Detection and Classification of Junctions by Foveation with a Head-Eye System Guided by the Scale-Space Primal Sketch
* 1992: Active Fixation for Junction Classification
* 1992: Extraction of Shape Features and Experiments on Cue Integration
* 1992: Extraction of Shape Features and Experiments on Cue Integration
* 1992: Head-Eye System: Analysis and Design, A
* 1992: Head-Eye System: Analysis and Design, A
* 1992: Heads, Eyes, and Head-Eye Systems
* 1992: Integrating Primary Ocular Processes
* 1992: Integrating Primary Ocular Processes
* 1992: Integrating Primary Ocular Processes
* 1992: Scale-Space Primal Sketch: Construction and Experiments
* 1993: Active Detection and Classification of Junctions by Foveation with a Head-Eye System Guided by the Scale-Space Primal Sketch
* 1993: Active Fixation for Junction Classification
* 1993: Active Fixation for Scene Exploration
* 1993: Active Fixation for Scene Exploration
* 1993: Continuous Vergence Movements for Relative Depth Acquisition
* 1993: Dynamic Fixation
* 1993: Dynamic Fixation and Active Perception
* 1993: Heads, Eyes, and Head-Eye Systems
* 1993: Use of Geons for Generic 3-D Object Recognition, The
* 1994: Active Vision as Methodology
* 1994: Generalized Cylinders: What Are They?
* 1994: Generalized Cylinders: What Are They?
* 1994: Mechatronics of Active Vision
* 1994: Mechatronics of Active Vision
* 1995: Local Fourier phase and disparity estimates: An analytical study
* 1995: Towards an Active Visual Observer
* 1995: Towards an Active Visual Observer
* 1996: Active Fixation for Scene Exploration
* 1996: Computational Model of Depth-Based Attention, A
* 1996: Dynamic Fixation and Active Perception
* 1996: Machine Vision Research at CVAP: An Introduction
* 1997: Panel Report: The Potential Of Geons For Generic 3-D Object Recognition
* 1998: Model-Free Voting Approach for Integrating Multiple Cues, A
* 1999: Real-Time Epipolar Geometry Estimation and Disparity
* 1999: Real-Time Maintenance of Figure-Ground Segmentation
* 2000: Attentional Scene Segmentation: Integrating Depth and Motion
* 2000: Real-Time System for Epipolar Geometry and Ego-Motion Estimation, A
* 2001: Automatic Estimation of the Projected Light Source Direction
* 2001: Pure Learning Approach to Background-Invariant Object Recognition Using Pedagogical Support Vector Learning, A
* 2002: Probabilistic and Voting Approaches to Cue Integration for Figure-Ground Segmentation
* 2002: Real-Time Epipolar Geometry Estimation of Binocular Stereo Heads
* 2002: Recognition of gestures in the context of speech
* 2003: Low-dimensional representations of shaded surfaces under varying illumination
* 2003: Phenomenological eigenfunctions for image irradiance
* 2003: Statistical background subtraction for a mobile observer
* 2004: Attending, Foveating and Recognizing Objects in Real World Scenes
* 2004: Classifying Materials from Their Reflectance Properties
* 2004: On the Significance of Real-World Conditions for Material Classification
* 2005: Foveated Figure-Ground Segmentation and Its Role in Recognition
* 2006: Detecting Symmetry and Symmetric Constellations of Features
* 2006: Eigen-Transform and Applications, The
* 2006: Vision in the real world: Finding, attending and recognizing objects
* 2008: Joint visual vocabulary for animal classification
* 2010: Classifying materials in the real world
* 2011: Advances in theory and applications of pattern recognition, image processing and computer vision
Includes: Eklundh, J.O. Eklundh, J.O.[Jan-Olof]
94 for Eklundh, J.O.
Eklundh, K.S.
* 2004: Involving users in the design of a mobile office robot
Eklundh, L.[Lars]
* 2012: Spatio-temporal patterns in vegetation start of season across the island of Ireland using the MERIS Global Vegetation Index
* 2014: Classification of Grassland Successional Stages Using Airborne Hyperspectral Imagery
* 2015: In Situ Calibration of Light Sensors for Long-Term Monitoring of Vegetation
* 2017: Performance of Smoothing Methods for Reconstructing NDVI Time-Series and Estimating Vegetation Phenology from MODIS Data
* 2018: Method for Robust Estimation of Vegetation Seasonality from Landsat and Sentinel-2 Time Series Data, A
* 2019: Challenges and Best Practices for Deriving Temperature Data from an Uncalibrated UAV Thermal Infrared Camera
* 2019: Empirical Assessment of the MODIS Land Cover Dynamics and TIMESAT Land Surface Phenology Algorithms, An
* 2021: Modelling Daily Gross Primary Productivity with Sentinel-2 Data in the Nordic Region: Comparison with Data from MODIS
* 2021: Radiometric Correction of Multispectral UAS Images: Evaluating the Accuracy of the Parrot Sequoia Camera and Sunshine Sensor
* 2021: Upscaling Northern Peatland CO2 Fluxes Using Satellite Remote Sensing Data
Includes: Eklundh, L.[Lars] Eklundh, L.
10 for Eklundh, L.