Image Analysis & Stereology

Papers
(The TQCC of Image Analysis & Stereology is 2. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-05-01 to 2025-05-01.)
ArticleCitations
Comparison of Profile Counting and Diameter Measurement for Estimating the Length Density of Seminiferous Tubules or Epididymal Duct10
Jean-Louis Chermant (June 24, 1941 – August 11, 2024)9
A Weberized Total Variance Regularization-based Image Multiplicative Noise Model8
Improving the Machine Learning Performance for Image Recognition Using a New Set of Mountain Fourier Moments7
Palmprint Classification With Multiple Filter Faces, Fourier Features and Voting Technique5
Visible and Infrared Object Tracking Based on Multimodal Hierarchical Relationship Modeling5
Computing Multivalued Mathematical Morphology on Multiband Images Using Algorithms for Multicriteria Analysis5
On optimization of active contour methods in colonoscopy image segmentation4
Note on the approximation of the conditional intensity of non-stationary cluster point processes4
An Adaptive shrinkage function for image denoising based on the neighborhood characteristics3
Efficient Image Super-Resolution With Multi-Branch Mixer Transformer3
Comparison of the Visual Scoring Method and Semi-Automatic Image Analysis for Evaluating Staining Intensity of Human Cartilage Sections3
Exemplar-Based Texture Synthesis Using Two Random Coefficients Autoregressive Models3
Deep Learning-based Vector Mosquitoes Classification for Preventing Infectious Diseases Transmission3
Research on Visual Detection Method of Sound Film Broken Glue Defect3
Weakly-Supervised Hair SEM Microscope Image Segmentation Using a Priori Structure Information2
UV LIGHT INDUCED FLUORESCENCE RECOVERY OF GFP AFTER PHOTOBLEACHING IN MICROSCOPY IMAGING2
PU-NET DEEP LEARNING ARCHITECTURE FOR GLIOMAS BRAIN TUMOUR SEGMENTATION IN MAGNETIC RESONANCE IMAGES2
A Bayesian Approach to Morphological Models Characterization2
A Novel Texture Descriptor: Circular Parts Local Binary Pattern2
Defining and applying a new approximation for the parametric probability densities of spherical particle profile sizes2
ANALYSIS OF UTERINE MORPHOLOGY IN OVARIECTOMIZED RATS TREATED WITH ALENDRONATE AND HOP EXTRACT USING OPEN-SORUCE SOFTWARE2
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