Artur Klepaczko

Proceedings of the Signal Processing: Algorithms, 2024

2023

Texture Analysis Versus Deep Learning in MRI-based Classification of Renal Failure.

[BibT_eX]

[DOI]

Proceedings of the Latest Developments and Challenges in Biomedical Engineering, 2023

CNN-Based Quantification of Blood Vessels Lumen in 3D Images.

[BibT_eX]

[DOI]

Proceedings of the Computational Science - ICCS 2023, 2023

Cerebral Vessel Segmentation in CE-MR Images Using Deep Learning and Synthetic Training Datasets.

[BibT_eX]

[DOI]

Proceedings of the Computational Science - ICCS 2023, 2023

2021

Healthy Kidney Segmentation in the Dce-Mr Images Using a Convolutional Neural Network and Temporal Signal Characteristics.

[BibT_eX]

[DOI]

Eli Eikefjord

Arvid Lundervold

Sensors, 2021

Deep Convolutional Neural Networks in Application to Kidney Segmentation in the DCE-MR Images.

[BibT_eX]

[DOI]

Eli Eikefjord

Arvid Lundervold

Proceedings of the Computational Science - ICCS 2021, 2021

2019

Deformable Mesh for Regularization of Three-Dimensional Image Registration.

[BibT_eX]

[DOI]

Proceedings of the Information Technology in Biomedicine, 2019

Functional Kidney Analysis Based on Textured DCE-MRI Images.

[BibT_eX]

[DOI]

Michal Strzelecki

Proceedings of the Information Technology in Biomedicine, 2019

2018

An artificial neural network for GFR estimation in the DCE-MRI studies of the kidneys.

[BibT_eX]

[DOI]

Proceedings of the Signal Processing: Algorithms, 2018

Numerical simulation of the b-SSFP sequence in MR perfusion-weighted imaging of the kidney.

[BibT_eX]

[DOI]

Proceedings of the Signal Processing: Algorithms, 2018

Automated determination of arterial input function in DCE-MR images of the kidney.

[BibT_eX]

[DOI]

Proceedings of the Signal Processing: Algorithms, 2018

CRF-Based Clustering of Pharmacokinetic Curves from Dynamic Contrast-Enhanced MR Images.

[BibT_eX]

[DOI]

Andrzej Wojciechowski

Proceedings of the Signal Processing: Algorithms, 2018

2017

QMaZda - Software tools for image analysis and pattern recognition.

[BibT_eX]

[DOI]

Izabella Korczynska-Czurak

Proceedings of the Signal Processing: Algorithms, 2017

Vessel tree surface modeling for blood flow simulation.

[BibT_eX]

[DOI]

Proceedings of the Signal Processing: Algorithms, 2017

Preprocessing of barley grain images for defect identification.

[BibT_eX]

[DOI]

Proceedings of the Signal Processing: Algorithms, 2017

Barley defects identification.

[BibT_eX]

[DOI]

Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis, 2017

2016

Simulation of MR angiography imaging for validation of cerebral arteries segmentation algorithms.

[BibT_eX]

[DOI]

Andreas Deistung

Jürgen R. Reichenbach

Comput. Methods Programs Biomed., 2016

Predicting MR angiography image appearance for realistic models of stenosed carotid and renal arteries.

[BibT_eX]

[DOI]

Ludomir Stefanczyk

Proceedings of the Signal Processing: Algorithms, 2016

2015

Identifying barley varieties by computer vision.

[BibT_eX]

[DOI]

Piotr Zapotoczny

Comput. Electron. Agric., 2015

Automated modeling of tubular blood vessels in 3D MR angiography images.

[BibT_eX]

[DOI]

Jürgen R. Reichenbach

Proceedings of the 9th International Symposium on Image and Signal Processing and Analysis, 2015

2014

Texture and color based image segmentation and pathology detection in capsule endoscopy videos.

[BibT_eX]

[DOI]

Comput. Methods Programs Biomed., 2014

Computer Simulation of the SWI Protocol in Nuclear Magnetic Resonance Imaging.

[BibT_eX]

[DOI]

Grzegorz Izydorczyk

Proceedings of the Computer Vision and Graphics - International Conference, 2014

2013

A GPU Accelerated Local Polynomial Approximation Algorithm for Efficient Denoising of MR Images.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013, 2013

Blood Flow Modeling in a Synthetic Cylindrical Vessel for Validating Methods of Vessel Segmentation in MRA Images.

[BibT_eX]

[DOI]

Grzegorz Dwojakowski

Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013, 2013

2012

3D image texture analysis of simulated and real-world vascular trees.

[BibT_eX]

[DOI]

Comput. Methods Programs Biomed., 2012

2011

Quantitative description of 3D vascularity images: texture-based approach and its verification through cluster analysis.

[BibT_eX]

[DOI]

Marek Kocinski

Pattern Anal. Appl., 2011

An Intelligent Automated Recognition System of Abnormal Structures in WCE Images.

[BibT_eX]

[DOI]

Michal Strzelecki

Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011

2010

Automated Recognition of Abnormal Structures in WCE Images Based on Texture Most Discriminative Descriptors.

[BibT_eX]

[DOI]

Proceedings of the Image Processing and Communications Challenges 2, 2010

Local Polynomial Approximation for Unsupervised Segmentation of Endoscopic Images.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision and Graphics - International Conference, 2010

Combining Evolutionary and Sequential Search Strategies for Unsupervised Feature Selection.

[BibT_eX]

[DOI]

Proceedings of the Artifical Intelligence and Soft Computing, 2010

Automated Segmentation of Endoscopic Images Based on Local Shape-Adaptive Filtering and Color Descriptors.

[BibT_eX]

[DOI]

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2010

2009

Cluster Analysis in Application to Quantitative Inspection of 3D Vascular Tree Images.

[BibT_eX]

[DOI]

Marek Kocinski

Proceedings of the Computer Recognition Systems 3, 2009

MaZda - A software package for image texture analysis.

[BibT_eX]

[DOI]

Comput. Methods Programs Biomed., 2009

Convex Hull-Based Feature Selection in Application to Classification of Wireless Capsule Endoscopic Images.

[BibT_eX]

[DOI]

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2009

2005

Feature Selection in Unsupervised Context: Clustering Based Approach.

[BibT_eX]

[DOI]