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Contact:
Room: 503

Position:
Full Professor Head of Department

Research teams:
Struktury i metody uczenia sieci neuronowych

Classes:
Programowanie niskopoziomowe lab
Systemy inteligentne w diagnostyce i medycynie lab
Systemy inteligentne w diagnostyce i medycynie wyk
Prof. PhD DSc Eng Robert Cierniak

Papers (43)

2023 (2)

A New Rebinning Reconstruction Method for the Low Dose CT Scanners with Flying Focal Spot
Pluta P., Cierniak R., A New Rebinning Reconstruction Method for the Low Dose CT Scanners with Flying Focal Spot, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14126 LNAI, 14126 LNAI, 269-278, 2023, Cites: 0
A New Statistical Approach to Image Reconstruction with Rebinning for the X-Ray CT Scanners with Flying Focal Spot Tube
Pluta P., Cierniak R., A New Statistical Approach to Image Reconstruction with Rebinning for the X-Ray CT Scanners with Flying Focal Spot Tube, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 14074 LNCS, 14074 LNCS, 670-677, 2023, Cites: 0

2022 (3)

An Original Continuous-to-Continuous Forward Model as a Universal Method for the Formulation of Reconstruction Methods for Medical Imaging Techniques
Cierniak R., Pluta P., An Original Continuous-to-Continuous Forward Model as a Universal Method for the Formulation of Reconstruction Methods for Medical Imaging Techniques, Communications in Computer and Information Science, 1653 CCIS, 1653 CCIS, 396-405, 2022, Cites: 0
Continuous-to-Continuous Data Model vs. Discrete-to-Discrete Data Model for the Statistical Iterative Reconstruction Method
Cierniak R., Continuous-to-Continuous Data Model vs. Discrete-to-Discrete Data Model for the Statistical Iterative Reconstruction Method, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13351 LNCS, 13351 LNCS, 493-506, 2022, Cites: 0
Implementations of statistical reconstruction algorithm for CT scanners with flying focal spot
Cierniak R., Bilski J., Pluta P., Implementations of statistical reconstruction algorithm for CT scanners with flying focal spot, Proceedings of SPIE - The International Society for Optical Engineering, 12304, 12304, 2022, Cites: 0

2021 (2)

A New Statistical Reconstruction Method for the Computed Tomography Using an X-Ray Tube with Flying Focal Spot
Cierniak R., Pluta P., Waligora M., Szymanski Z., Grzanek K., Palka F., Piuri V., A New Statistical Reconstruction Method for the Computed Tomography Using an X-Ray Tube with Flying Focal Spot, Journal of Artificial Intelligence and Soft Computing Research, 11, 11, 271-286, 2021, Cites: 8
A New Statistical Iterative Reconstruction Algorithm for a CT Scanner with Flying Focal Spot
Cierniak R., Pluta P., A New Statistical Iterative Reconstruction Algorithm for a CT Scanner with Flying Focal Spot, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12855 LNAI, 12855 LNAI, 431-441, 2021, Cites: 0

2020 (2)

A Practical Statistical Approach to the Reconstruction Problem Using a Single Slice Rebinning Method
Cierniak R., Pluta P., KaAmierczak A., A Practical Statistical Approach to the Reconstruction Problem Using a Single Slice Rebinning Method, Journal of Artificial Intelligence and Soft Computing Research, 10, 10, 137-149, 2020, Cites: 12
Statistical iterative reconstruction algorithm based on a continuous-to-continuous model formulated for spiral cone-beam ct
Cierniak R., Pluta P., Statistical iterative reconstruction algorithm based on a continuous-to-continuous model formulated for spiral cone-beam ct, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 12139 LNCS, 12139 LNCS, 613-620, 2020, Cites: 2

2019 (3)

Iterative Statistical Reconstruction Algorithm Based on C-C Data Model with the Direct Use of Projections Performed in Spiral Cone-Beam CT Scanners
Cierniak R., Pluta P., Iterative Statistical Reconstruction Algorithm Based on C-C Data Model with the Direct Use of Projections Performed in Spiral Cone-Beam CT Scanners, Advances in Intelligent Systems and Computing, 1011, 1011, 56-66, 2019, Cites: 0
Realizations of the statistical reconstruction method based on the continuous-to-continuous data model
Cierniak R., Bilski J., Pluta P., Filutowicz Z., Realizations of the statistical reconstruction method based on the continuous-to-continuous data model, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11509 LNAI, 11509 LNAI, 149-156, 2019, Cites: 0
EM-ML algorithm based on continuous-to-continuous model for PET
Cierniak R., Dobosz P., Grzybowski A., EM-ML algorithm based on continuous-to-continuous model for PET, Proceedings of SPIE - The International Society for Optical Engineering, 11072, 11072, 2019, Cites: 0

2018 (1)

Analytical realization of the EM algorithm for emission positron tomography
Cierniak R., Dobosz P., Pluta P., Filutowicz P., Analytical realization of the EM algorithm for emission positron tomography, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10842 LNAI, 10842 LNAI, 127-136, 2018, Cites: 0

2017 (1)

Parallel realizations of the iterative statistical reconstruction algorithm for 3D computed tomography
Cierniak R., Bilski J., Smolag J., Pluta P., Shah N., Parallel realizations of the iterative statistical reconstruction algorithm for 3D computed tomography, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10245 LNAI, 10245 LNAI, 473-484, 2017, Cites: 1

2016 (3)

Analytical statistical approach for fan-beam scanners
Cierniak R., Analytical statistical approach for fan-beam scanners, Advances in Intelligent Systems and Computing, 471, 471, 231-243, 2016, Cites: 0
Regularization methods for the analytical statistical reconstruction problem in medical computed tomography
Cierniak R., Lorent A., Pluta P., Shah N., Regularization methods for the analytical statistical reconstruction problem in medical computed tomography, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9693, 9693, 147-158, 2016, Cites: 0
Comparison of algebraic and analytical approaches to the formulation of the statistical model-based reconstruction problem for X-ray computed tomography
Cierniak R., Lorent A., Comparison of algebraic and analytical approaches to the formulation of the statistical model-based reconstruction problem for X-ray computed tomography, Computerized Medical Imaging and Graphics, 52, 52, 19-27, 2016, Cites: 8

2015 (2)

Computed Tomography Images Denoising with Markov Random Field Model Parametrized by Prewitt Mask
Knas M., Cierniak R., Computed Tomography Images Denoising with Markov Random Field Model Parametrized by Prewitt Mask, Advances in Intelligent Systems and Computing, 313 AISC, 313 AISC, 53-58, 2015, Cites: 2
An edge detection using 2D Gaussian function in computed tomography
Knas M., Cierniak R., Rebrova O., An edge detection using 2D Gaussian function in computed tomography, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 9119, 9119, 586-593, 2015, Cites: 0

2014 (7)

A modification of the parallel spline interpolation algorithms
Knas M., Cierniak R., A modification of the parallel spline interpolation algorithms, Advances in Intelligent Systems and Computing, 233, 233, 185-190, 2014, Cites: 0
Video compression algorithm based on neural network structures
Knop M., Cierniak R., Shah N., Video compression algorithm based on neural network structures, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8467 LNAI, 8467 LNAI, 715-724, 2014, Cites: 7
Ultrafast iterative model-based statistical 3d reconstruction algorithm for x-ray computed tomography
Cierniak R., Knas M., Ultrafast iterative model-based statistical 3d reconstruction algorithm for x-ray computed tomography, Advances in Intelligent Systems and Computing, 283, 283, 187-196, 2014, Cites: 2
A new image reconstruction from projections algorithm
Lorent A., Cierniak R., Dobosz P., Rebrova O., A new image reconstruction from projections algorithm, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8467 LNAI, 8467 LNAI, 725-732, 2014, Cites: 1
An analytical iterative statistical algorithm for image reconstruction from projections
Cierniak R., An analytical iterative statistical algorithm for image reconstruction from projections, International Journal of Applied Mathematics and Computer Science, 24, 24, 7-17, 2014, Cites: 16
Regularized Image Reconstruction from Projections Method
Lorent A., Cierniak R., Regularized Image Reconstruction from Projections Method, Proceedings - 2014 International Conference on Engineering and Telecommunication, EnT 2014, 82-86, 2014, Cites: 3
Using of EM algorithm to image reconstruction problem with tomography noises
Dobosz P., Cierniak R., Using of EM algorithm to image reconstruction problem with tomography noises, Advances in Intelligent Systems and Computing, 233, 233, 37-43, 2014, Cites: 0

2013 (1)

Video compression algorithm based on neural networks
Cierniak R., Knop M., Video compression algorithm based on neural networks, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7894 LNAI, 7894 LNAI, 524-531, 2013, Cites: 5

2012 (1)

A neuronal approach to the statistical image reconstruction from projections problem
Cierniak R., Lorent A., A neuronal approach to the statistical image reconstruction from projections problem, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7653 LNAI, 7653 LNAI, 344-353, 2012, Cites: 5

2011 (2)

Neural network algorithm for image reconstruction using the "grid-friendly" projections
Cierniak R., Neural network algorithm for image reconstruction using the "grid-friendly" projections, Australasian Physical and Engineering Sciences in Medicine, 34, 34, 375-389, 2011, Cites: 9
X-ray computed tomography in biomedical engineering
Cierniak R., X-ray computed tomography in biomedical engineering, X-Ray Computed Tomography in Biomedical Engineering, 1-319, 2011, Cites: 50

2010 (4)

A statistical tailored image reconstruction from projections method
Cierniak R., A statistical tailored image reconstruction from projections method, Smart Innovation, Systems and Technologies, 4, 4, 181-190, 2010, Cites: 3
A neural network optimization-based method of image reconstruction from projections
Cierniak R., A neural network optimization-based method of image reconstruction from projections, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5990 LNAI, 5990 LNAI, 241-250, 2010, Cites: 2
A statistical appraoch to image reconstruction from projections problem using recurrent neural network
Cierniak R., A statistical appraoch to image reconstruction from projections problem using recurrent neural network, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6353 LNCS, 6353 LNCS, 138-141, 2010, Cites: 5
A three-dimentional neural network based approach to the image reconstruction from projections problem
Cierniak R., A three-dimentional neural network based approach to the image reconstruction from projections problem, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 6113 LNAI, 6113 LNAI, 505-514, 2010, Cites: 14

2009 (1)

New neural network algorithm for image reconstruction from fan-beam projections
Cierniak R., New neural network algorithm for image reconstruction from fan-beam projections, Neurocomputing, 72, 72, 3238-3244, 2009, Cites: 47

2008 (3)

A new approach to image reconstruction from projections using a recurrent neural network
Cierniak R., A new approach to image reconstruction from projections using a recurrent neural network, International Journal of Applied Mathematics and Computer Science, 18, 18, 147-157, 2008, Cites: 43
A 2D approach to tomographic image reconstruction using a Hopfield-type neural network
Cierniak R., A 2D approach to tomographic image reconstruction using a Hopfield-type neural network, Artificial Intelligence in Medicine, 43, 43, 113-125, 2008, Cites: 34
A novel approach to image reconstruction problem from fan-beam projections using recurrent neural network
Cierniak R., A novel approach to image reconstruction problem from fan-beam projections using recurrent neural network, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5097 LNAI, 5097 LNAI, 752-761, 2008, Cites: 12

2006 (1)

A novel approach to image reconstruction from discrete projections using hopfield-type neural network
Cierniak R., A novel approach to image reconstruction from discrete projections using hopfield-type neural network, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 4029 LNAI, 4029 LNAI, 890-898, 2006, Cites: 10

2004 (2)

An image compression algorithm based on neural networks
Cierniak R., An image compression algorithm based on neural networks, Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 3070, 3070, 706-711, 2004, Cites: 11
Image compression based on soft computing techniques
Cierniak R., Image compression based on soft computing techniques, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3019, 3019, 609-617, 2004, Cites: 1

2000 (1)

On image compression by competitive neural networks and optimal linear predictors
Cierniak R., Rutkowski L., On image compression by competitive neural networks and optimal linear predictors, Signal Processing: Image Communication, 15, 15, 559-565, 2000, Cites: 51

1996 (1)

Neural networks and semi-closed-loop predictive vector quantization for image compression
Cierniak Robert, Rutkowski Leszek, Neural networks and semi-closed-loop predictive vector quantization for image compression, IEEE International Conference on Image Processing, 1, 1, 245-248, 1996, Cites: 1

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