The quest for'diagnostically lossless' medical image compression: a comparative study of objective quality metrics for compressed medical images I Kowalik-Urbaniak, D Brunet, J Wang, D Koff, N Smolarski-Koff, ...
Medical imaging 2014: image perception, observer performance, and technology …, 2014
40 2014 Quality assessment of compressed and resized medical images based on pattern recognition using a convolutional neural network I Urbaniak, M Wolter
Communications in Nonlinear Science and Numerical Simulation 95, 105582, 2021
30 2021 Modelling of subjective radiological assessments with objective image quality measures of brain and body CT images IA Kowalik-Urbaniak, J Castelli, N Hemmati, D Koff, N Smolarski-Koff, ...
Image Analysis and Recognition: 12th International Conference, ICIAR 2015 …, 2015
13 2015 The quest for" diagnostically lossless" medical image compression using objective image quality measures IA Kowalik-Urbaniak
University of Waterloo, 2015
9 2015 Some “Weberized”-based methods of signal/image approximation IA Kowalik-Urbaniak, D La Torre, ER Vrscay, Z Wang
International Conference Image Analysis and Recognition, 20-29, 2014
9 2014 Dark type dynamical systems: the integrability algorithm and applications YA Prykarpatsky, I Urbaniak, RA Kycia, AK Prykarpatski
Algorithms 15 (8), 266, 2022
5 2022 The impact of skull bone intensity on the quality of compressed CT neuro images I Kowalik-Urbaniak, ER Vrscay, Z Wang, C Cavaro-Menard, D Koff, ...
Medical Imaging 2012: Advanced PACS-based Imaging Informatics and …, 2012
5 2012 Quality assessment of medical images IA Urbaniak, RN Pinto
Engineering Mathematics and Artificial Intelligence, 463-484, 2024
3 2024 The use of intensity-dependent weight functions to “Weberize” IA Urbaniak, A Kunze, D Li, DL Torre, ER Vrscay
Optimization and Engineering 22 (4), 2349-2365, 2021
3 2021 Using Compressed JPEG and JPEG2000 Medical Images in Deep Learning: A Review IA Urbaniak
Applied Sciences 14 (22), 10524, 2024
2 2024 The fidelity of compressed and interpolated medical images MW IA Urbaniak
Technical Transactions 117 (1), 2020
1 * 2020 Objective image quality measures of degradation in compressed natural images and their comparison with subjective assessments AK Cheeseman, IA Kowalik-Urbaniak, ER Vrscay
Image Analysis and Recognition: 13th International Conference, ICIAR 2016 …, 2016
1 2016 Recovering MRI magnetic field strength properties using machine learning based on image compression quality scores I Urbaniak, P Biskup
Optimization and Engineering, 1-17, 2024
2024 QUANTITATIVE EVALUATION OF DEGRADATIONS RESULTING FROM JPEG AND JPEG2000 COMPRESSION OF NEURO CT IMAGES I Kowalik-Urbaniak, ER Vrscay, Z Wang, D Koff, B Wallace