Innovative Assistant Professor bringing proven success in implementing technology-based curriculum delivery and assessment tools. Passionate about fostering academic development and success for every student.
Assistant Professor with 17 years of experience successfully contributing to digital signal processing curriculum development and delivery. Driven to contribute to program outcomes by facilitating engagement and supporting learning objectives. Enthusiastic professional with background in academic advisement.
Scientific fields of interest encompass digital signal processing, image processing, numerical techniques, medical image processing, medical imaging, artificial intelligence, and deep learning.
Selected research papers published:
K. Malczewski, A Framework for Reconstructing Super-Resolution Magnetic Resonance Images from Sparse Raw Data Using Multilevel Generative Methods, Applied Sciences 14(4):1351
DOI:10.3390/app14041351
K. Malczewski, Diffusion Weighted Imaging Super-Resolution Algorithm for Highly Sparse Raw Data Sequences, Sensors 23(12):5698
DOI:10.3390/s23125698
K. Malczewski, Magnetic resonance image enhancement using highly sparse input, Magnetic Resonance Imaging 74(3)
DOI:10.1016/j.mri.2020.08.014
K. Malczewski, Image Resolution Enhancement of Highly Compressively Sensed CT/PET Signals, Algorithms 13(5):129DOI:10.3390/a13050129
K. Malczewski, Fixing Acceleration and Image Resolution Issues of Nuclear Magnetic Resonance , Symmetry-Basel, 2020, vol. 12, no. 4, pp.1-19, Article number:681. DOI:10.3390/sym12040681K. Malczewski, Diffusion Weighted Imaging Super-Resolution Algorithm for Highly Sparse Raw Data Sequences, Sensors, 2023, vol. 23, no. 12, pp.1-26, Article number:5698. DOI:10.3390/s23125698
K. Malczewski, Super-Resolution with compressively sensed MR/PET signals at its input, Informatics in Medicine Unlocked, 2020, vol. 18, pp.1-13, Article number:100302. DOI:10.1016/j.imu.2020.100302
K. Malczewski, MRI image enhancement by PROPELLER data fusion, International Journal of SJRand Communications, Volume 3, Numbers 1/2, 2009,
K. Malczewski K., R. Stasiński, High resolution MRI image reconstruction from a PROPELLER data set of samples, International Journal of Functional Informatics and Personalised Medicine, Volume 1,3/2008, 9
K. Malczewski, R. Stasiński, Zwiększanie rozdzielczości przestrzennej obrazów medycznych , Przegląd Telekomunikacyjny + Wiadomości Telekomunikacyjne, ISSN 1230-3496, nr 2-3, 71-74, 2013,
K. Malczewski, Semi-PROPELLER Compressed Sensing Image Reconstruction with Enhanced Resolution in MRI , International Journal of Electronics and Tele- communications, eISSN: 2300-1933, Vol 61, No 2 (2015), 211-217,
K. Malczewski, Compressively Sensed Hybrid PET/MR Imaging with Enhanced Spatial Resolution , WSEAS Transactions on Signal Processing, 2016.
K. Malczewski, Compressively Sensed Hybrid PET/MR Imaging with Enhanced Spatial Resolution, INTERNATIONAL JOURNAL OF SYSTEMS APPLICATIONS, ENGINEERING & DEVELOPMENT Volume 11, 2017,
K.Malczewski, R.Stasiński,Toeplitz-based iterative image fusion scheme for MRI, IEEE Int. Conf. on Image Processing (ICIP), San Diego, 2008,
K. Malczewski, Inter-k-space motion based strategy for super-resolution in MRI, 2009 17th European Signal Processing Conference (EUSIPCO 2009), Glasgow, Scotland,
K. Malczewski, High Resolution Respiratory Motion Artefacts Free Image Recon- struction Algorithm, The 2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV’11), Las Vegas USA,
K. Malczewski, Breaking the resolution limit In medical imaging modalities, The 2012 international conference on image processing, computer vision and patttern recognition, Worldcomp 2012, Las Vegas, USA,
K. Malczewski, PET Image Reconstruction using compressed sensing, 17th IEEE Conference Signal Processing Algorithms Arrangements and Applications, 26-28.09, Poznań, 2013,
K. Malczewski, Super-resolution Magnetic Resonance Image Reconstruction with k-t SPARSE-SENSE at its Core, 17th IEEE Conference Signal Processing Algorithms Arrangements and Applications, 26-28.09, Poznań, 2013,
K. Malczewski, HR MRI CS based image reconstruction, ICPRIP 2014 : Interna- tional Conference on Pattern Recognition and Image Processing on March, 10-11, 2014, Miami, USA,
K. Malczewski, PET Image Resolution Enhancement, ICPRIP 2014 : International Conference on Pattern Recognition and Image Processing on March, 10-11, 2014, Miami, USA,
K. Malczewski, M. Buczkowski, Semi-Propeller Compressed Sensing MR Image Super-Resolution Reconstruction, 2014 International Conference on Signals and Electronic Systems (ICSES), Poland,
K. Malczewski, Sparsely Sampled MRI Image Reconstruction Algorithm Meets Lipschitz Bounds,The 19th International Conference on Image Processing, Computer Vision, & Pattern Recognition, The 2015 World Congress in Computer Science Computer Engineering and Applied Computing
K. Malczewski, Motion Corrected PET Signals Compressing, The 19th International Conference on Image Processing, Computer Vision, & Pattern Recognition, The 2015 World Congress in Computer Science Computer Engineering and Applied Computing , Las Vegas, USA, 2015