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Journal Articles
- 2022
[j15]Ivan Bajla
, Michal Teplan:
Yeast cell detection in color microscopic images using ROC-optimized decoloring and segmentation. IET Image Process. 16(2): 606-621 (2022)- 2018
- [j14]Radoslav Skoviera, Ivan Bajla, Júlia Skovierová:
Object recognition in clutter color images using Hierarchical Temporal Memory combined with salient-region detection. Neurocomputing 307: 172-183 (2018) - 2012
- [j13]Svorad Stolc, Ivan Bajla, Kristián Valentín, Radoslav Skoviera:
Pair-Wise Temporal Pooling Method for Rapid Training of the HTM Networks Used in Computer Vision Applications. Comput. Informatics 31(4): 901- (2012) - 2009
- [j12]Ivan Bajla, Frantisek Rublík, Barbora Arendacká, Igor Farkas, Klára Hornisová, Svorad Stolc, Viktor Witkovský:
Segmentation and supervised classification of image objects in Epo doping-control. Mach. Vis. Appl. 20(4): 243-259 (2009) - [j11]Ivan Bajla, Igor Holländer, Dorothea Heiss-Czedik, Reinhard Granec:
Classification of image objects in Epo doping control using fuzzy decision tree. Pattern Anal. Appl. 12(3): 285-300 (2009) - 2008
- [j10]Daniel Soukup, Ivan Bajla:
Robust Object Recognition under Partial Occlusions Using NMF. Comput. Intell. Neurosci. 2008 (2008) - 2006
- [j9]Svorad Stolc, Ivan Bajla:
Improvement of band segmentation in Epo images via column shift transformation with cost functions. Medical Biol. Eng. Comput. 44(4): 257-274 (2006) - [j8]Svorad Stolc, Ivan Bajla:
Improvement of band segmentation in Epo images via column shift transformation with cost functions. Medical Biol. Eng. Comput. 44(7): 605-607 (2006) - 2005
- [j7]Ivan Bajla, Igor Holländer, S. Fluch, K. Burg, Matej Kollár:
An alternative method for electrophoretic gel image analysis in the GelMaster software. Comput. Methods Programs Biomed. 77(3): 209-231 (2005) - [j6]Ivan Bajla, Igor Holländer, M. Minichmayr, G. Gmeiner, Ch. Reichel:
GASepo - a software solution for quantitative analysis of digital images in Epo doping control. Comput. Methods Programs Biomed. 80(3): 246-270 (2005) - [j5]Ivan Bajla, Igor Holländer, G. Gmeiner, Ch. Reichel:
Quantitative analysis of images in erythropoietin doping control. Medical Biol. Eng. Comput. 43(3): 403-409 (2005) - 2003
- [j4]Johannes Fürtler, Konrad J. Mayer, Werner Krattenthaler, Ivan Bajla:
SPOT - Development tool for software pipeline optimization for VLIW-DSPs used in real-time image processing. Real Time Imaging 9(6): 387-399 (2003) - 2001
- [j3]Ivan Bajla, Igor Holländer:
Geometry-driven-diffusion filtering of magnetic resonance images using model-based conductance. Mach. Vis. Appl. 12(5): 223-237 (2001) - 1998
- [j2]Ivan Bajla, Igor Holländer:
Nonlinear filtering of magnetic resonance tomograms by geometry-driven diffusion. Mach. Vis. Appl. 10(5/6): 243-255 (1998) - 1993
- [j1]Stefano Alliney, Samuel Matej, Ivan Bajla:
On the possibility of direct Fourier reconstruction from divergent-beam projections. IEEE Trans. Medical Imaging 12(2): 173-181 (1993)
Conference and Workshop Papers
- 2013
- [c4]Radoslav Skoviera, Kristián Valentín, Svorad Stolc, Ivan Bajla:
Recognition of Untrustworthy Face Images in ATM Sessions using a Bio-inspired Intelligent Network. ICPRAM 2013: 511-517 - 2004
- [c3]Herbert Ramoser, Jürgen Biber, Ivan Bajla, Igor Holländer:
Segmentation of Electrophoretic Images in Doping Control. METMBS 2004: 467-470 - 2002
- [c2]Ivan Bajla, Igor Holländer, K. Burg, S. Fluch:
A novel approach to quantitative analysis of electrophoretic gel images of DNA fragments. ISBI 2002: 899-902 - 1998
- [c1]Ivan Bajla, Viktor Witkovský, Milan Hanajík:
Nonlinear filtering of MR images using geometrically and statistically controlled diffusion. EUSIPCO 1998: 1-3
Coauthor Index
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