Index for sint

Sintek, M.[Michael] * 2008: Semantics and CBIR: a medical imaging perspective

Sintes, C. * 2012: Empirical Interferometric Phase Variance Formulas for Bathymetric Applications
* 2014: 3-D bathymetric reconstruction in multi-path and reverberant underwater environments
* 2015: Model-Based Adaptive 3D Sonar Reconstruction in Reverberating Environments
* 2019: Unsupervised Automatic Building Extraction Using Active Contour Model On Unregistered Optical Imagery and Airborne Lidar Data
* 2020: Super-Resolution-Based Snake Model: An Unsupervised Method for Large-Scale Building Extraction Using Airborne LiDAR Data and Optical Image
Includes: Sintes, C. Sintes, C.[Christophe] Sintès, C.[Christophe]

Sinthanayothin, C.[Chanjira] * 2003: Multimedia Simulation of Colour Blindness and Colour Enhancement Assisted Colour Blindness

Sinthia, P. * 2021: Cancer detection using convolutional neural network optimized by multistrategy artificial electric field algorithm

Sinthupinyo, S. * 2003: Detection of connecting points in Thai printed characters by combining inductive logic programming with backpropagation neural network

Sinthupinyo, W.[Wasin] * 2002: Simple Layout Segmentation of Gray-Scale Document Images

Sintondji, L.O.[Luc Olivier] * 2019: Towards a Long-Term Reanalysis of Land Surface Variables over Western Africa: LDAS-Monde Applied over Burkina Faso from 2001 to 2018

Sintorn, I.M.[Ida Maria] * 2001: Weighted distance transforms in rectangular grids
* 2002: Ring shaped object detector for non-isotropic 2D images using optimized distance transform weights
* 2004: Weighted distance transforms for volume images digitized in elongated voxel grids
* 2005: Medial Grey-Level Based Representation for Proteins in Volume Images
* 2005: Shape Based Identification of Proteins in Volume Images
* 2009: Towards Automated TEM for Virus Diagnostics: Segmentation of Grid Squares and Detection of Regions of Interest
* 2011: Registration Parameter Spaces for Molecular Electron Tomography Images
* 2011: Virus Texture Analysis Using Local Binary Patterns and Radial Density Profiles
* 2012: Regional Zernike moments for texture recognition
* 2012: Towards User-Guided Quantitative Evaluation of Wrist Fractures in CT Images
* 2013: Evaluation of noise robustness for local binary pattern descriptors in texture classification
* 2013: Improving the stochastic watershed
* 2013: Probabilistic Template Model for Finding Macromolecules in MET Volume Images, A
* 2014: Virus Recognition Based on Local Texture
* 2016: Comparison of Flow Cytometry and Image-Based Screening for Cell Cycle Analysis
* 2017: Convolutional Neural Networks for False Positive Reduction of Automatically Detected Cilia in Low Magnification TEM Images
* 2017: Efficient Descriptor Based on Radial Line Integration for Fast Non-invariant Matching and Registration of Microscopy Images, An
* 2017: Enhancement of Cilia Sub-structures by Multiple Instance Registration and Super-Resolution Reconstruction
* 2018: Towards Automated Multiscale Imaging and Analysis in TEM: Glomerulus Detection by Fusion of CNN and LBP Maps
* 2020: Detection of pulmonary micronodules in computed tomography images and false positive reduction using 3D convolutional neural networks
* 2022: Towards Better Guided Attention and Human Knowledge Insertion in Deep Convolutional Neural Networks
* 2024: Efficient high-resolution template matching with vector quantized nearest neighbour fields
Includes: Sintorn, I.M.[Ida Maria] Sintorn, I.M.[Ida-Maria] Sintorn, I.M.
22 for Sintorn, I.M.

Sintorn, M. * 2010: Gradient based intensity normalization

Sintunata, V. * 2016: Improved image quality in fast inpainting with omnidirectional filling

Index for "s"


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