Blind deconvolution in dynamic contrast-enhanced MRI and ultrasound. - Radovan Jirík; Karel Soucek; Martin Mézl; Michal Bartos; Eva Drazanova; Frantisek Drafi; Lucie Grossova; Jirí Kratochvíla; Ondrej Macícek; Kim Nylund; Ales Hampl; Odd Helge Gilja; et al. (EMBC, 2014)

Semi-automatic motion compensation of contrast-enhanced ultrasound images from abdominal organs for perfusion analysis. - Sebastian Schäfer 002; Kim Nylund; Fredrik Sævik; Trond Engjom; Martin Mézl; Radovan Jirík; Georg Dimcevski; Odd Helge Gilja; Klaus D. Tönnies (Comput. Biol. Medicine, 2015)

Use of creative materials for fingerprint spoofs. - Ondrej Kanich; Martin Drahanský; Martin Mézl (IWBF, 2018)

Contrast-enhanced ultrasonography of the pancreas shows impaired perfusion in pancreas insufficient cystic fibrosis patients. - Trond Engjom; Kim Nylund; Friedemann Erchinger; Marcus Stangeland; Birger Norderud Lærum; Martin Mézl; Radovan Jirík; Odd Helge Gilja; Georg Dimcevski (BMC Medical Imaging, 2018)

Multimodal Features for Detection of Driver Stress and Fatigue: Review. - Andrea Nemcová; Veronika Svozilová; Katerina Bucsuházy; Radovan Smísek; Martin Mézl; Branislav Hesko; Michal Belák; Martin Bilík; Pavel Maxera; Martin Seitl; Tomás Dominik; Marek Semela; et al. (IEEE Trans. Intell. Transp. Syst., 2021)

Deep Learning-Enhanced Ultrasound Analysis: Classifying Breast Tumors Using Segmentation and Feature Extraction. - Ali Hamza; Martin Mézl (IEEE Access, 2025)