Publications

AAA01       ŠIKUDOVÁ, Elena – ?ERNEKOVÁ, Zuzana – BENEŠOVÁ, Vanda – HALADOVÁ, Zuzana – KU?EROVÁ, Júlia. Po?íta?ové videnie detekcia a rozpoznávanie objektov. 1. vyd. Praha : Wikina, 2014. 378 s. Dostupné na internete: <https://is.stuba.sk/vv/pub_priloha.pl?id=291415>. ISBN 978-80-87925-06-5. [Vnútrofakultná kategória: I*D].

ABC01        SIDLA, Oliver – BRÄNDLE, Norbert – BENEŠOVÁ, Vanda – ROSNER, Marcin – LYPETSKYY, Yuriy. Chapter 6. Embedded vision challenges. In Smart Cameras. 1. vyd. New York : Springer, 2010, s. 99-117. ISBN 978-1-4419-0952-7. V databáze: WOS: 000272789900006 ; SCOPUS: 2-s2.0-84892088920. [Vnútrofakultná kategória: I*B].

ADC01        BERHUBER, E. – RINNHOFER, A. – STOCKINGER, M. – BENEŠOVÁ, Vanda – JAKOB, G. Automatic feature extraction from micrographs of forged superalloys. In JOM. Vol. 60, iss. 7 (2008), s. 49-53. ISSN 1047-4838 (1.485 – 2008). V databáze: WOS: 000257438500009 ; SCOPUS: 2-s2.0-48249088135. [Vnútrofakultná kategória: I*A].

ADC02        FOGELTON, Andrej – BENEŠOVÁ, Vanda. Eye blink detection based on motion vectors analysis. In Computer Vision and Image Understanding. Vol. 148, (2016), s. 23-33. ISSN 1077-3142 (2.498 – 2016). V databáze: WOS: 000378455000003 ; SCOPUS: 2-s2.0-84979467473. [Vnútrofakultná kategória: I*A].

 ADC03        FOGELTON, Andrej – BENEŠOVÁ, Vanda. Eye blink completeness detection. In Computer Vision and Image Understanding. Vol. 176-177, (2018), s. 78-85. ISSN 1077-3142 (2.645 – 2018). V databáze: SCOPUS: 2-s2.0-85054753436 ; WOS: 000454184900008. [Vnútrofakultná kategória: I*A].

 ADC04        MARTIN-GUTIERREZ, Jorge – FABIANI, Pena – BENEŠOVÁ, Vanda – MENESES, Dolores Maria – MORA, Carlos E. Augmented reality to promote collaborative and autonomous learning in higher education. In Computers in Human Behavior. Vol. 51, part: B (2015), s. 752-761. ISSN 0747-5632 (2.880 – 2015). V databáze: WOS: 000359880100023 ; SCOPUS: 2-s2.0-84919466110 ; CC: CCC:000359880100023. [Vnútrofakultná kategória: I*A].

 ADC05        POLATSEK, Patrik – BENEŠOVÁ, Vanda – PALETTA, Lucas – PERKO, R. Novelty-based Spatiotemporal Saliency Detection for Prediction of Gaze in Egocentric Video. In IEEE Signal Processing Letters. Vol. 23, iss. 3 (2016), s. 394-398. ISSN 1070-9908 (2.528 – 2016). V databáze: WOS: 000372320000001 ; SCOPUS: 2-s2.0-84962301435. [Vnútrofakultná kategória: I*A].

 ADC06        POLATSEK, Patrik – WALDNER, Manuela – VIOLA, Ivan – KAPEC, Peter – BENEŠOVÁ, Vanda. Exploring visual attention and saliency modeling for task-based visual analysis. In Computers and Graphics. Vol. 72, (2018), s. 26-38. ISSN 0097-8493 (1.302 – 2018). V databáze: SCOPUS: 2-s2.0-85042471777 ; WOS: 000431158300005. [Vnútrofakultná kategória: I*A].

 ADC07        POLEC, Jaroslav – BENEŠOVÁ, Vanda – VARGIC, Radoslav – IL?ÍKOVÁ, Ivana – CSÓKA, Tibor. Texture feature extraction using an orthogonal transform of arbitrarily shaped image regions. In Journal of Electronic Imaging. Vol. 25, Iss. 6 (2016), Art.no. 061413 [15] s. ISSN 1017-9909 (0.754 – 2016). V databáze: SCOPUS: 2-s2.0-84989184230 ; CC: 000397059200014. [Vnútrofakultná kategória: E*A ; I*A].

 ACCEPTED MANUSCRIPT ( eFirst ): Author(s): JAKAB [60 %], Marek – HUDEC [30 %] , Lukas – BENESOVA, Wanda [10 %], Partial Disentanglement of Hierarchical Variational Auto-Encoder for Texture Synthesis, In IET Computer Vision, 12pp., DOI: 10.1049/iet-cvi.2019.0416 , Print ISSN 1751-9632, Online ISSN 1751-9640 Available online: 30 April 2020, https://digital-library.theiet.org/content/journals/10.1049/iet-cvi.2019.0416 [Vnútrofakultná kategória: I*A].

ADM01       LACO, Miroslav – POLATSEK, Patrik – DEKRÉT, Šimon – BENEŠOVÁ, Vanda – BARÁNKOVÁ, Martina – STRNADELOVÁ, Bronislava – KORONIOVÁ, Jana – GÁBLIKOVÁ, Mária. Effects of individual’s emotions on saliency and visual search. In The Visual Computer. s. ISSN 0178-2789. V databáze: WOS: 000553760200003 ; SCOPUS: 2-s2.0-85088793866 ; DOI: 10.1007/s00371-020-01912-7. [Vnútrofakultná kategória: I*A].

AED01        KOMPÁNEK, Matej – BENEŠOVÁ, Vanda – TAMAJKA, Martin. Multistep subcortical brain segmentation method based on deep neural networks. In Výskum pokro?ilých metód inteligentného spracovania informácií : zborník príspevkov. 1. vyd. Trnava : AlumniPress, 2019, S. 37-38. ISBN 978-80-8096-266-1. [Vnútrofakultná kategória: I*D].

AFC01   AYGUN, Ramazan – BENEŠOVÁ, Vanda. Multimedia retrieval that works. In MIPR 2018. Proceedings. IEEE 1st Conference on Multimedia Information Processing and Retrieval, 10–12 April 2018, Miami, Florida, USA. 1. vyd. Los Alamitos : IEEE, 2018, S. 63-68. ISBN 978-1-5386-1857-8. V databáze: SCOPUS: 2-s2.0-85050090677 ; DOI: 10.1109/MIPR.2018.00019. [Vnútrofakultná kategória: I*B].

 AFC02   BENEŠOVÁ, Vanda – KOTTMAN, Michal – SIDLA, Oliver. Hazardous sign detection for safety applications in traffic monitoring. In Proceedings of SPIE. Vol. 8301: Intelligent Robots and Computer Vision XXIX: Algorithms and Techniques. Springfield : The Society for Imaging Science and Technology, 2012, s.1-6. ISBN 9780819489487. V databáze: WOS: 000300178300008 ; SCOPUS: 2-s2.0-84856989985. [Vnútrofakultná kategória: I*B].

 AFC03   BENEŠOVÁ, Vanda – KOTTMAN, Michal. Fast superpixel segmentation using morphological processing. In MVML’14 [elektronický zdroj] : proceedings of the International conference on machine vision and machine learning, Prague, Czech republic, August 14-15,2014. 1. vyd. S. l : Avestia Publishing, 2014, online, s. 67-1 – 67-9. ISBN 978-1-927877-03-6. [Vnútrofakultná kategória: I*C].

 AFC04    BENEŠOVÁ, Vanda – RINNHOFER, A. – JAKOB, G. Determining the average grain size of super-alloy micrographs. In ICIP 2006.  IEEE International Conference on Image Processing, Atlanta, United States; 8 – 11 October 2006 : Proceedings. 1. vyd. New York : IEEE, 2006, S. 2749-2752. ISBN 978-1-4244-0481-0. V databáze: WOS: 000245768501306 ; SCOPUS: 2-s2.0-78649847466. [Vnútrofakultná kategória: I*B].

 AFC05   BENEŠOVÁ, Vanda – LYPETSKYY, Yuriy – ANDREU, Jean-Philippe – PALLETA, Lucas – JEITLER, Andreas – HÖDL, Evelyn. A mobile system for vision based road sign inventory. In The 5th International Symposium on Mobile Mapping Technology. 1. vyd. [S. l.] : ISPRS, 2007, [5] s. [Vnútrofakultná kategória: I*C].

 AFC06   BENEŠOVÁ, Vanda – LYPETSKYY, Yuriy – ANDREU, Jean-Philippe – PALETTA, Lucas – JEITLER, Andreas – HÖDL, Evelyn. Erstellung eines Verkehrszeichenkatasters mit Hilfe eines digitalen Feldaufnahmeverfahren und automatischer Bilderkennung. In AGIT 2005 Angewandte Geographische Informationsverarbeitung XVII, Salzburg; 2005-07-06 – 2005-07-08. 1. vyd. [Berlin] : Wichmann Verlag, 2005, S. 293 – 302. ISBN 3-87907-422-4. [Vnútrofakultná kategória: I*C].

 AFC07   BENEŠOVÁ, Vanda – RINNHOFER, A. – JAKOB, G. – BENES, Roman. Limitation of color linescan camera for high precision color measurements. In Workshop on spectral imaging. 1. vyd. [S. l.] : CTR, 2003. [Vnútrofakultná kategória: I*C].

 AFC08   GRIVALSKÝ, Štefan – TAMAJKA, Martin – BENEŠOVÁ, Vanda. Segmentation of gliomas in magnetic resonance images using recurrent neural networks. In TSP 2019 : 42nd International conference on telecommunications and signal processing. Budapest, Hungary. July 1-3, 2019. Danvers : IEEE, 2019, S. 539-542. ISBN 978-1-7281-1864-2. V databáze: SCOPUS: 2-s2.0-85071063171. [Vnútrofakultná kategória: I*B].

 AFC09   HRÁDE?, Dominik – HUDEC, Lukáš – BENEŠOVÁ, Vanda. Interpretable diagnosis of breast cancer from histological images using Siamese neural networks. In Proceedings SPIE 11433, Twelfth International Conference on Machine Vision (ICMV 2019), 2019, Amsterdam, The Netherlands. 1. vyd. Bellingham : SPIE – The International Society for Optical Engineering, 2020, S. 1-9. V databáze: SCOPUS: 2-s2.0-85081178619. [Vnútrofakultná kategória: I*B].

 AFC10   HUDEC, Lukáš – BENEŠOVÁ, Vanda. Texture Similarity Evaluation via Siamese Convolutional Neural Network. In IWSSIP 2018 : 25th International conference on systems, signals and image processing. Maribor, Slovenia. June 20-22, 2018. Piscataway : IEEE, 2018, S. 1-5. ISBN 978-1-5386-6978-5. V databáze: SCOPUS: 2-s2.0-85053110223. [Vnútrofakultná kategória: I*B].

 AFC11   JAKAB, Marek – BENEŠOVÁ, Vanda – RA?EV, Marek. 3D object recognition based on local descriptors. In Proceedings of SPIE:  Intelligent Robots and Computer Vision XXXII: Algorithms and Techniques, 94060L (February 8, 2015), San Francisco, United States. 1. vyd. Bellingham : SPIE – The International Society for Optical Engineering, 2015, Article number 94060L. ISBN 978-1-62841-496-7. V databáze: WOS: 000350278100019 ; SCOPUS: 2-s2.0-84923674030. [Vnútrofakultná kategória: I*B].

 AFC12   JAKAB, Marek – BENEŠOVÁ, Vanda. Unsupervised similarity learning from compressed representations via Siamese autoencoders. In Proceedings SPIE 11041, Eleventh International Conference on Machine Vision (ICMV 2018), 2018, Munich, Germany. 1. vyd. Bellingham : SPIE – The International Society for Optical Engineering, 2019, S. 110412F-1 – 110412F-7. ISBN 9781510627482. V databáze: WOS: 000468216400084 ; SCOPUS: 2-s2.0-85063426236 ; DOI: 10.1117/12.2522920. [Vnútrofakultná kategória: I*B].

 AFC13   JAKAB, Marek – ŠTEVULIAK, Marek – BENEŠOVÁ, Vanda. Multi-modal brain tumor segmentation utilizing convolutional neural networks. In Proceedings SPIE 11433, Twelfth International Conference on Machine Vision (ICMV 2019), 2019, Amsterdam, The Netherlands. 1. vyd. Bellingham : SPIE – The International Society for Optical Engineering, 2020, S. 1-8. V databáze: SCOPUS: 2-s2.0-85081181382. [Vnútrofakultná kategória: I*B].

 AFC14   JAKOB, G. – RINNHOFER, A. – BISCHOF, Horst – BENEŠOVÁ, Vanda. Twin and scratch detection and removal in micrograph images of inconel™718. In Machine Vision Applications in Industrial Inspection XIV.  San Jose, CA; United States; 16 January 2006 through 17 January 2006 : proceedings of the society of photo-optical instrumentation engineers. 1. vyd. Bellingham : SPIE – The International Society for Optical Engineering, 2006, S. L700-L700,  Article Number: 60700L. ISBN 0-8194-6110-5. V databáze: SCOPUS: 2-s2.0-33645659670 ; WOS: 000236912300021. [Vnútrofakultná kategória: I*B].

 AFC15   KOMPÁNEK, Matej – TAMAJKA, Martin – BENEŠOVÁ, Vanda. Volumetrie Data Augmentation as an Effective Tool in MRI Classification Using 3D Convolutional Neural Network. In IWSSIP 2019 : 26th International conference on systems, signals and image processing. Osijek, Croatia. June 5-7, 2019. 1. ed. Piscataway : IEEE, 2019, S. 115-119. ISBN 978-1-7281-3227-3. V databáze: SCOPUS: 2-s2.0-85070831543. [Vnútrofakultná kategória: I*B].

 AFC16   LACO, Miroslav – BENEŠOVÁ, Vanda. Depth in the visual attention modelling from the egocentric perspective of view. In Proceedings SPIE 11041, Eleventh International Conference on Machine Vision (ICMV 2018), 2018, Munich, Germany. 1. vyd. Bellingham : SPIE – The International Society for Optical Engineering, 2019, S. ISBN 9781510627482. V databáze: WOS: 000468216400043 ; SCOPUS: 2-s2.0-85063439711. [Vnútrofakultná kategória: I*B].

 AFC17   LACO, Miroslav – POLATSEK, Patrik – BENEŠOVÁ, Vanda. Depth Perception Tendencies on a Widescreen Display: An Experimental Study. In Proceedings SPIE 11433, Twelfth International Conference on Machine Vision (ICMV 2019), 2019, Amsterdam, The Netherlands. 1. vyd. Bellingham : SPIE – The International Society for Optical Engineering, 2020, S. 1-8. V databáze: SCOPUS: 2-s2.0-85081179840. [Vnútrofakultná kategória: I*B].

 AFC18   MARTÁK, Lukáš – ŠAJGALÍK, Márius – BENEŠOVÁ, Vanda. Polyphonic Note Transcription of Time-Domain Audio Signal with Deep WaveNet Architecture. In IWSSIP 2018 : 25th International conference on systems, signals and image processing. Maribor, Slovenia. June 20-22, 2018. Piscataway : IEEE, 2018, S. 1-5. ISBN 978-1-5386-6978-5. V databáze: SCOPUS: 2-s2.0-85053156203. [Vnútrofakultná kategória: I*B].

 AFC19   OLEŠOVÁ, Veronika – BENEŠOVÁ, Vanda – POLATSEK, Patrik. Visual attention in egocentric field-of-view using RGB-D data. In Proceedings of Ninth International Conference on Machine Vision (ICMV 2016), 18th November, 2016, Nice, France. 1. vyd : SPIE – The International Society for Optical Engineering, 2017, S. 1-9. ISBN 978-151061131-3. V databáze: WOS: 000410664800028 ; SCOPUS: 2-s2.0-85029924145. [Vnútrofakultná kategória: I*B].

 AFC20   POLATSEK, Patrik – JAKAB, Marek – BENEŠOVÁ, Vanda – KUŽMA, Matej. Computational models of shape saliency. In Proceedings SPIE 11041, Eleventh International Conference on Machine Vision (ICMV 2018), 2018, Munich, Germany. 1. vyd. Bellingham : SPIE – The International Society for Optical Engineering, 2019, S. ISBN 9781510627482. V databáze: DOI: 10.1117/12.2522779 ; WOS: 000468216400080 ; SCOPUS: 2-s2.0-85063437404. [Vnútrofakultná kategória: I*B].

 AFC21   RINNHOFER, A. – JAKOB, G. – DEUTSCHL, E. – BENEŠOVÁ, Vanda – ANDREU, Jean-Philippe – PARZIALE, G. – NIEL, A. A multi-sensor system for texture based high-speed hardwood lumber inspection. In Proceedings of SPIE-IS and T Electronic Imaging: Image Processing: Algorithms and Systems IV; San Jose, CA; United States; 17 – 18 January 2005. 1. vyd. Bellingham : SPIE – The International Society for Optical Engineering, 2005, S. 34-43. ISBN 0-8194-5645-4. V databáze: WOS: 000228690400004 ; SCOPUS: 2-s2.0-21944449826. [Vnútrofakultná kategória: I*B].

 AFC22   RINNHOFER, A. – BENEŠOVÁ, Vanda – JAKOB, Gerhard – BENEŠ, Roman. Color of wood under various conditions of illumination. In IUFRO. 5rd International Conference on Image Processing and Scanning of Wood. 1. vyd. Graz : Joanneum, 2003, S. 55-56. [Vnútrofakultná kategória: I*C].

 AFC23   RINNHOFER, A. – BENEŠOVÁ, Vanda – GERHARD, Jakob – SYKACE, E. – WIMMER, R. Color measurements for durability prediction of larch heartwood. In ScanTech 2005. The 11th International Conference on Scanning Technology and Process Optimization for the Wood Industry. July 25-26, 2005, Las Vegas, USA. 1. vyd. Berkeley : Wood Machining Institute, 2005. [Vnútrofakultná kategória: I*C].

 AFC24   RINNHOFER, A. – BENEŠOVÁ, Vanda – GERHARD, Jakob – STOCKINGER, M. Feature extraction from micrographs of forged nickel based alloy. In Proceedings – International Conference on Pattern Recognition. 18th International Conference on Pattern Recognition, ICPR 2006; Hong Kong; China; 20 August 2006 through 24 August 2006. 1. vyd. [Los Alamitos] : IEEE, 2006, S. 391-394. ISBN 978-076952521-1. V databáze: WOS: 000240678300094 ; SCOPUS: 2-s2.0-34047195151. [Vnútrofakultná kategória: I*B].

 AFC25   SIDLA, Oliver – KOTTMAN, Michal – BENEŠOVÁ, Vanda. Real-time pose invariant logo and pattern detection. In Intelligent Robots and Computer Vision XXVIII: Algorithms and Techniques : 24-25 January 2011 San Francisco, California, United States. Proceedings of SPIE. Billingham : SPIE – The International Society for Optical Engineering, 2011, on-line, [8 s.]. ISBN 978-0-81948-415-4. V databáze: WOS: 000297557600008 ; SCOPUS: 2-s2.0-79951934465. [Vnútrofakultná kategória: I*B].

 AFC26   SIDLA, Oliver – BRAENDLE, Norbert – BENEŠOVÁ, Vanda. Towards Complex Visual Surveillance Algorithms on Smart Cameras. In Computer Vision Workshops (ICCV Workschops), 2009 IEEE 12th International Conference on Computer Vision. Kyoto : IEEE, 2009, s.847-853. ISBN 978-1-4244-4442-7. V databáze: SCOPUS: 2-s2.0-77953198673. [Vnútrofakultná kategória: I*B].

 AFC27   STANO, M. – BENEŠOVÁ, Vanda – MARTÁK, Lukáš. Explainable 3D convolutional neural network using GMM encoding. In TWELFTH INTERNATIONAL CONFERENCE ON MACHINE VISION (ICMV 2019) : 12th International Conference on Machine Vision (ICMV), 16-18.11.2019, Amsterdam. 1. vyd. BELLINGHAM, WA 98227-0010 USA : SPIE-INT SOC OPTICAL ENGINEERING, 2020, S.1-5. ISBN 978-151063643-9. V databáze: WOS: 000542922700066 ; DOI: 10.1117/12.2557314 ; SCOPUS: 2-s2.0-85081172313. [Vnútrofakultná kategória: I*B].

 AFC28   TAMAJKA, Martin – BENEŠOVÁ, Vanda. Supervoxel algorithm form medical image processing. In ICPCSI 2017 Proceedings of IEEE International Conference on Power, Control, Signals and Instrumentation Engineering. 1. vyd. [S. l.] : IEEE, 2017, S. 3121-3127. ISBN 978-1-5386-0813-5. V databáze: SCOPUS: 2-s2.0-85050092677. [Vnútrofakultná kategória: I*B].

 AFC29   TAMAJKA, Martin – BENEŠOVÁ, Vanda – KOMPÁNEK, Matej. Transforming Convolutional Neural Network to an Interpretable Classifier. In IWSSIP 2019 : 26th International conference on systems, signals and image processing. Osijek, Croatia. June 5-7, 2019. 1. ed. Piscataway : IEEE, 2019, S. 255-259. ISBN 978-1-7281-3227-3. V databáze: SCOPUS: 2-s2.0-85070838758 ; WOS: 000501745100040. [Vnútrofakultná kategória: I*B].

 AFC30   UHLÍKOVÁ, Ivana – BENEŠOVÁ, Vanda – POLEC, Jaroslav – CSÓKA, Tibor. Texture aware image error concealment. In EUROCON 2015 : International conference on computer as a tool. Salamanca, Spain. 8-11 September, 2015. Danvers : IEEE, 2015, S. 88-93. ISBN 978-1-4799-8569-2. V databáze: SCOPUS: 2-s2.0-84961741405 ; WOS: 000380463400123. [Vnútrofakultná kategória: E*F ; I*B].

AFD01        BENEŠOVÁ, Vanda – FILLO, Peter – KANIANSKY, Miroslav. Course of Digital Image Processing at the Faculty of Informatics and Information Technologies (FIIT), Slovak University of Technology in Bratislava. In Spring Conference on Computer Graphics SCCG 2010 with cooperation with ACM ad Eurographics : Conference Materials and Posters. Spring Conference on Computer Graphics SCCG 2010 with cooperation with ACM ad Eurographics, Budmerice, May 13-15, 2010 (2010), s. 27-30. ISSN 1335-5694. [Vnútrofakultná kategória: I*D].

 AFD02        IL?ÍKOVÁ, Ivana – POLEC, Jaroslav – BENEŠOVÁ, Vanda – CSÓKA, Tibor. Fuzzy segmentation for texture aware image error concealment. In Aplimat 2016 [elektronický zdroj] : proceedings of the 15th conference on applied mathematics 2016. Bratislava, 2.-4. 2. 2016. 1st. ed. Bratislava : Vydavate?stvo STU, 2016, CD-ROM, S. 541-556. ISBN 978-80-227-4531-4. V databáze: SCOPUS: 2-s2.0-84968538084. [Vnútrofakultná kategória: E*F ; I*C].

 AFD03        IL?ÍKOVÁ, Ivana – BENEŠOVÁ, Vanda – POLEC, Jaroslav – CSÓKA, Tibor. Texture aware image error concealment with fuzzy segmentation. In IWSSIP 2016 : 23th International conference on systems, signals and image processing. Bratislava, Slovakia. 23-25 May 2016. 1. vyd. Bratislava : Slovak University of Technology in Bratislava / IEEE, 2016, S. 145-148. ISBN 978-1-4673-9555-7. V databáze: IEEE ; WOS: 000389830400030 ; SCOPUS: 2-s2.0-84978823262. [Vnútrofakultná kategória: E*F ; I*B].

 AFD04        IL?ÍKOVÁ, Ivana – BENEŠOVÁ, Vanda – POLEC, Jaroslav – CSÓKA, Tibor. Texture aware video and image error concealment. In ELITECH´16 [elektronický zdroj] : 18th Conference of doctoral students. Bratislava, Slovakia. June 8, 2016. 1. vyd. Bratislava : STU, 2016, CD-ROM, [8] s. ISBN 978-80-227-4561-1. [Vnútrofakultná kategória: E*G ; I*D].

 AFD05        POLATSEK, Patrik – BENEŠOVÁ, Vanda. Bottom-up saliency model generation using superpixels. In SCCG 2015. Proceedings of the 31st Spring Conference on Computer Graphics. 1. vyd. New York : ACM, 2015, S. 121-129. ISBN 978-1-4503-3693-2. V databáze: SCOPUS: 2-s2.0-84963525793 ; WOS: 000380609300018. [Vnútrofakultná kategória: I*B].

 AFD06        TAMAJKA, Martin – BENEŠOVÁ, Vanda. Automatic Brain Segmentation Method based on Supervoxels. In IWSSIP 2016 : 23th International conference on systems, signals and image processing. Bratislava, Slovakia. 23-25 May 2016. 1. vyd. Bratislava : Slovak University of Technology in Bratislava / IEEE, 2016, online [4] s. ISBN 978-1-4673-9555-7. V databáze: SCOPUS: 2-s2.0-84978908832 ; WOS: 000389830400018. [Vnútrofakultná kategória: I*B].