Ing. Michal Bartoš, Ph.D.
research fellow

Department:
Department of Image Processing
Research interests:
Signal/image deconvolution,
Perfusion imaging,
Practical optimization,
Medical imaging
Biography
Publication list
Publications:
See my ResearcherID profile to get list of publications.
Michal Bartoš received his M.Sc. degree in biomedical engineering from the Brno University of Technology, Brno, Czech Republic in 2007 followed by the Ph.D. in 2015. He was on a one-year postdoctoral stay in the Institute of Medical Engineering at the Technical University Graz, Graz, Austria in 2018/2019.
Projects:
- AISEE - Artificial Intelligence based Search Environment for video/photo - 01.01.2022 - 31.12.2025
- Bayesian methods for non-linear blind inverse problems - 01.01.2020 - 31.12.2022
- ASSISLT - Automated Software System in Speech-language Therapy - 01.01.2018 - 31.12.2019
- Image reconstruction techniques in magnetic resonance perfusion imaging - 01.01.2018 - 31.5.2019
- Magnetic resonance perfusion imaging using compressed sensing - 01.01.2016 - 31.12.2018
- Early ultrasound detection of breast cancer - 01.07.2014 - 31.12.2017
- Perfusion Analysis Using MRI and Ultrasound - 01.01.2012 - 31.12.2014
- Tools for imaging device identification, authentication, and image reconstruction - 01.01.2010 - 31.12.2013
- Improvement of diagnostic value in dynamic contrast enhanced imaging using MRI and ultrasonography in medicine - 01.01.2009 - 31.12.2011
Journal articles
- The ISMRM Open Science Initiative for Perfusion Imaging (OSIPI): Results from the OSIPI-Dynamic Contrast-Enhanced challenge, Magnetic Resonance in Medicine 91 5 (2024), p. 1803-1821 Download DOI: 10.1002/mrm.29909 [2024] :
- Blind deconvolution decreases requirements on temporal resolution of DCE-MRI: Application to 2nd generation pharmacokinetic modeling, Magnetic Resonance Imaging 109, p. 238-248 Download DOI: 10.1016/j.mri.2024.03.019 [2024] :
- Blind deconvolution estimation of an arterial input function for small animal DCE-MRI, Magnetic Resonance Imaging 62, p. 46-56 Download DOI: 10.1016/j.mri.2019.05.024 [2019] :
- Spatially regularized estimation of the tissue homogeneity model parameters in DCE‐MRI using proximal minimization, Magnetic Resonance in Medicine 82 6 (2019), p. 2257-2272 Download DOI: 10.1002/mrm.27874 [2019] :
- A computer-assisted system for handheld whole-breast ultrasonography, International Journal of Computer Assisted Radiology and Surgery 14 3 (2019), p. 509-516 Download Download DOI: 10.1007/s11548-018-01909-7 [2019] :
- Time-Efficient Perfusion Imaging Using DCE- and DSC-MRI, Measurement Science Review 18 6 (2018), p. 262-271 DOI: 10.1515/msr-2018-0036 [2018] :
- Fast Bayesian JPEG Decompression and Denoising With Tight Frame Priors, IEEE Transactions on Image Processing 26 1 (2017), p. 490-501 Download DOI: 10.1109/TIP.2016.2627802 [2017] :
- PIZZARO: Forensic analysis and restoration of image and video data, Forensic Science International 264 1 (2016), p. 153-166 Download DOI: 10.1016/j.forsciint.2016.04.027 [2016] :
- The precision of DCE-MRI using the tissue homogeneity model with continuous formulation of the perfusion parameters, Magnetic Resonance Imaging 32 5 (2014), p. 505-513 DOI: 10.1016/j.mri.2014.02.003 [2014] :
Other publications
- ASSISLT: Computer-aided speech therapy tool, Signal Processing : A publication of the European Association for Signal Processing (EURASIP), p. 598-602 Download DOI: 10.23919/EUSIPCO55093.2022.9909627 [2022] :
- Human Computer Interface Based on Tongue and Lips Movements and its Application for Speech Therapy System, Electronic Imaging, Visualization and Data Analysis 2020 Download DOI: 10.2352/ISSN.2470-1173.2020.1.VDA-389 [2020] :
- Comparison of fitting approaches in dynamic contrast enhanced magnetic resonance imaging : direct estimation from raw k-space signals vs. conventional approach from concentration–time curves, Magnetic Resonance Materials in Physics, Biology and Medicine, p. 348-349 Download DOI: 10.1007/s10334-019-00755-1 [2019] :
- Iterative Methods for Fast Reconstruction of Undersampled Dynamic Contrast-Enhanced MRI Data, World Congress on Medical Physics and Biomedical Engineering 2018, p. 267-271, Eds: Lhotská L., Sukupová L., Lacković I., Ibbott G.S. Download DOI: 10.1007/978-981-10-9035-6_48 [2019] :
- Time-efficient Fourier domain evaluation of pharmacokinetic model in dynamic contrast-enhanced magnetic resonance imaging, IFMBE Proceedings, Volume 68, Issue 1, p. 777-781 Download DOI: 10.1007/978-981-10-9035-6_143 [2019] :
- DCE-MRI Perfusion Analysis with L1-Norm Spatial Regularization, Joint Annual Meeting ISMRM-ESMRMB 2018. Book of Absdtracts. [2018] :
- Metodika ultrazvukového vyšetření prsou (2017) Download [2017] :
- Software pro sledování pohybu UZ sondy (2017) Download [2017] :
- Breast ultrasound examination: 3D-enhanced tool for precise analysis, Proceedings of the AIMed 2017 Download [2017] :
- Evaluating Spatial Coverage of Breast Examination with Free-hand Ultrasound Transducer, BISTEC 2017 10th International Joint Conference on Biomedical Engineering Systems and Technologies, p. 128-133, Eds: Silveira Margarida, Fred Ana, Gamboa Hugo, Vaz Mário Download DOI: 10.5220/0006249101280133 [2017] :
- Efficient JPEG decompression by the alternating direction method of multipliers, Proceedings of the 23rd International Conference on Pattern Recognition (ICPR), p. 271-276 Download DOI: 10.1109/ICPR.2016.7899645 [2016] :
- Using multichannel blind AIF estimation with the DCATH model to allow increased temporal sampling interval in DCE-MRI, Magma Download [2016] :
- Forensics image and video restoration, Abstract book of 7th European Academy of Forensic Science Conference Download [2015] :
- Softwarový modul projektu SONO (2014) Download [2014] :
- PIZZARO - Prostředky pro identifikaci obrazového záznamového zařízení, autentifikaci a rekonstrukci obrazu (2014) Download [2014] :
- Blind Deconvolution in Dynamic Contrast-Enhanced MRI and Ultrasound, Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual International Conference of the IEEE. Proceedings, p. 4276-4279 DOI: 10.1109/EMBC.2014.6944569 [2014] :