Artur Klepaczko - Citegraph

Author Info

Name	Affiliation	Papers
ARTUR KLEPACZKO	Tech Univ Lodz, Inst Elect, PL-90924 Lodz, Poland	27
Collaborators	Citations	PageRank
33	93	13.82
Referers	Referees	References
267	310	169

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100310

Publications (27 rows)

Collaborators (33 rows)

Referers (100 rows)

Referees (100 rows)

Title	Citations	PageRank	Year
Healthy Kidney Segmentation in the Dce-Mr Images Using a Convolutional Neural Network and Temporal Signal Characteristics	0	0.34	2021
Deformable Mesh For Regularization Of Three-Dimensional Image Registration	0	0.34	2019
Functional Kidney Analysis Based On Textured Dce-Mri Images	0	0.34	2019
Automated determination of arterial input function in DCE-MR images of the kidney	0	0.34	2018
An artificial neural network for GFR estimation in the DCE-MRI studies of the kidneys	0	0.34	2018
Numerical simulation of the b-SSFP sequence in MR perfusion-weighted imaging of the kidney	0	0.34	2018
CRF-Based Clustering of Pharmacokinetic Curves from Dynamic Contrast-Enhanced MR Images	0	0.34	2018
Vessel tree surface modeling for blood flow simulation	0	0.34	2017
Barley defects identification	0	0.34	2017
Preprocessing of barley grain images for defect identification	0	0.34	2017
QMaZda — Software tools for image analysis and pattern recognition	0	0.34	2017
Simulation of MR angiography imaging for validation of cerebral arteries segmentation algorithms.	3	0.39	2016
Predicting MR angiography image appearance for realistic models of stenosed carotid and renal arteries	0	0.34	2016
Identifying barley varieties by computer vision	5	0.65	2015
Texture and color based image segmentation and pathology detection in capsule endoscopy videos.	26	1.13	2014
Computer Simulation Of The Swi Protocol In Nuclear Magnetic Resonance Imaging	0	0.34	2014
A GPU Accelerated Local Polynomial Approximation Algorithm for Efficient Denoising of MR Images.	0	0.34	2013
Blood Flow Modeling in a Synthetic Cylindrical Vessel for Validating Methods of Vessel Segmentation in MRA Images.	0	0.34	2013
3D image texture analysis of simulated and real-world vascular trees.	9	0.69	2012
Quantitative description of 3D vascularity images: texture-based approach and its verification through cluster analysis	3	0.76	2011
An intelligent automated recognition system of abnormal structures in WCE images	0	0.34	2011
Combining evolutionary and sequential search strategies for unsupervised feature selection	0	0.34	2010
Local polynomial approximation for unsupervised segmentation of endoscopic images	0	0.34	2010
Automated Segmentation of Endoscopic Images Based on Local Shape-Adaptive Filtering and Color Descriptors	0	0.34	2010
MaZda-A software package for image texture analysis	40	2.88	2009
Convex Hull-Based Feature Selection in Application to Classification of Wireless Capsule Endoscopic Images	6	0.52	2009
Feature Selection in Unsupervised Context: Clustering Based Approach	1	0.38	2005