Publikace

• 2023

  LI, J.; ELLIS, D.; KODYM, O.; HEROUT, A.; ŠPANĚL, M.; EGGER, J. Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the AutoImplant 2021 cranial implant design challenge. MEDICAL IMAGE ANALYSIS, 2023, roč. 88, č. 102865, s. 1-15. ISSN: 1361-8423.
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• 2022

  KUBÍK, T.; ŠPANĚL, M. Robust Teeth Detection in 3D Dental Scans by Automated Multi-View Landmarking. In 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022). Vienna: Institute for Systems and Technologies of Information, Control and Communication, 2022. s. 24-34. ISBN: 978-989-758-552-4.
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• 2021

  KRÁLÍK, M.; KLÍMA, O.; ČUTA, M.; MALINA, R.; KOZIEL, S.; POLCEROVÁ, L.; ŠKULTÉTYOVÁ, A.; ŠPANĚL, M.; KUKLA, L.; ZEMČÍK, P. Estimating Growth in Height from Limited Longitudinal Growth Data Using Full-Curves Training Dataset: A Comparison of Two Procedures of Curve Optimization-Functional Principal Component Analysis and SITAR. Children-Basel, 2021, roč. 8, č. 10, s. 934-955. ISSN: 2227-9067.
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  KODYM, O.; ŠPANĚL, M.; HEROUT, A. Deep Learning for Cranioplasty in Clinical Practice: Going from Synthetic to Real Patient Data. COMPUTERS IN BIOLOGY AND MEDICINE, 2021, roč. 137, č. 104766, s. 1-10. ISSN: 0010-4825.
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  KODYM, O.; ŠPANĚL, M.; HEROUT, A. Segmentation of Defective Skulls from CT Data for Tissue Modelling. In Towards the Automatization of Cranial Implant Design in Cranioplasty II. Lecture Notes in Computer Science. Lecture Notes in Computer Science. Strasbourg: Springer Nature Switzerland AG, 2021. s. 19-28. ISBN: 978-3-030-92652-6. ISSN: 0302-9743.
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  KODYM, O.; LI, J.; PEPE, A.; GSAXNER, C.; EGGER, J.; ŠPANĚL, M. SkullBreak/SkullFix - Dataset for automatic cranial implant design and a benchmark for volumetric shape learning tasks. Data in Brief (Online), 2021, roč. 35, č. 106902, s. 1-7. ISSN: 2352-3409.
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  HEROUT, A.; KODYM, O.; ŠPANĚL, M. AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design. IEEE TRANSACTIONS ON MEDICAL IMAGING, 2021, roč. 40, č. 9, s. 2329-2342. ISSN: 0278-0062.
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• 2020

  KODYM, O.; ŠPANĚL, M.; HEROUT, A. Skull Shape Reconstruction Using Cascaded Convolutional Networks. COMPUTERS IN BIOLOGY AND MEDICINE, 2020, roč. 123, č. 103886, s. 1-9. ISSN: 0010-4825.
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  KODYM, O.; ŠPANĚL, M.; HEROUT, A. Cranial Defect Reconstruction Using Cascaded CNN with Alignment. In Towards the Automatization of Cranial Implant Design in Cranioplasty. Lecture Notes in Computer Science. Lima: Springer Nature Switzerland AG, 2020. s. 56-64. ISBN: 978-3-030-64326-3.
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• 2019

  KODYM, O.; ŠPANĚL, M.; HEROUT, A. Segmentation of Defective Skulls from CT Data for Tissue Modelling. Computational Methods and Clinical Applications in Musculoskeletal Imaging. Shenzhen: 2019. s. 0-0.
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  VEĽAS, M.; ŠPANĚL, M.; HRADIŠ, M.; HEROUT, A. Convolutional Neural Networks for the Odometry Estimation. Journal of Intelligent and Robotics Systems, 2019, roč. 2019, č. 93, s. 1-22. ISSN: 0921-0296.
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  VEĽAS, M.; ŠPANĚL, M.; HEROUT, A. Indoor and Outdoor Backpack Mapping with Calibrated Pair of Velodyne LiDARs. SENSORS, 2019, roč. 19, č. 18, s. 1-34. ISSN: 1424-8220.
  Detail | WWW | Plný text v Digitální knihovně

• 2018

  KLÍMA, O.; MADEJA, R.; ŠPANĚL, M.; ČUTA, M.; ZEMČÍK, P.; STOKLÁSEK, P.; MIZERA, A. Virtual 2D-3D Fracture Reduction with Bone Length Recovery Using Statistical Shape Models. In ShapeMI MICCAI 2018: Workshop on Shape in Medical Imaging Proceedings. Lecture Notes in Computer Science. LNCS. Granada: Springer International Publishing, 2018. s. 207-219. ISBN: 978-3-030-04746-7. ISSN: 0302-9743.
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  KODYM, O.; ŠPANĚL, M. 3D Image Segmentation using Graph-Cut and Random Forests Learned from Partial Annotations. In Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: BIOIMAGING. Funchal: Institute for Systems and Technologies of Information, Control and Communication, 2018. s. 124-131. ISBN: 978-989-758-278-3.
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  VEĽAS, M.; ŠPANĚL, M.; HRADIŠ, M.; HEROUT, A. CNN for IMU Assisted Odometry Estimation using Velodyne LiDAR. In IEEE International Conference on Autonomous Robot Systems and Competitions. Torres Vedras: Institute of Electrical and Electronics Engineers, 2018. s. 71-77. ISBN: 978-1-5386-5221-3. ISSN: 2573-9387.
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  KODYM, O.; ŠPANĚL, M.; HEROUT, A. Segmentation of Head and Neck Organs at Risk Using CNN with Batch Dice Loss. In Pattern Recognition, 40th German Conference, GCPR 2018 Proceedings. Lecture Notes in Computer Science. LNCS, volume 11269. Stuttgart: Springer International Publishing, 2018. s. 105-114. ISBN: 978-3-030-12938-5. ISSN: 0302-9743.
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  KLÍMA, O.; NOVOBILSKÝ, P.; MADEJA, R.; BAŘINA, D.; CHROMÝ, A.; ŠPANĚL, M.; ZEMČÍK, P. Intensity-based non overlapping area registration supporting "drop-outs" in terms of model-based radiostereometric analysis. multi science- Journal of Healthcare Engineering, 2018, roč. 2018, č. 1, s. 1-10. ISSN: 2040-2295.
  Detail | WWW | Plný text v Digitální knihovně

  VEĽAS, M.; ŠPANĚL, M.; HRADIŠ, M.; HEROUT, A. CNN for Very Fast Ground Segmentation in Velodyne LiDAR Data. In IEEE International Conference on Autonomous Robot Systems and Competitions. Torres Vedras: Institute of Electrical and Electronics Engineers, 2018. s. 97-103. ISBN: 978-1-5386-5221-3.
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• 2017

  KLÍMA, O.; CHROMÝ, A.; KLEPÁRNÍK, P.; ŠPANĚL, M.; ZEMČÍK, P. Model-based Radiostereometric Analysis Using Intensity-based 2D/3D Registration Pipeline: Feasibility Study. Conference Materials and Posters of Spring Conference on Computer Graphics SCCG 2017. Proceeding of Spring Conference on Computer Graphics. Mikulov: Brno University of Technology, 2017. s. 31-33. ISSN: 1335-5694.
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  MATERNA, Z.; ŠPANĚL, M.; MAST, M.; BERAN, V.; WEISSHARDT, F.; BURMESTER, M.; SMRŽ, P. Teleoperating Assistive Robots: A Novel User Interface for Remote Manipulation and Navigation Relying on Semi-Autonomy and Global 3D Environment Mapping. Journal of Robotics and Mechatronics, 2017, roč. 29, č. 2, s. 381-394. ISSN: 0915-3942.
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• 2016

  VEĽAS, M.; ŠPANĚL, M.; HEROUT, A. Collar Line Segments for Fast Odometry Estimation from Velodyne Point Clouds. In Proceedings of IEEE International Conference on Robotics and Automation. Stockholm: IEEE Computer Society, 2016. s. 4486-4491. ISBN: 978-1-4673-8025-6.
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  KLÍMA O, KLEPÁRNÍK P, ŠPANĚL M, ZEMČÍK P. Towards an accurate 3D reconstruction of fractured long bones from plain 2D radiographs. International Journal of Computer Assisted Radiology and Surgery. Heidelberg: Springer Verlag, 2016. s. S180 (S181 s.)ISSN: 1861-6410.
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  MATERNA, Z.; KAPINUS, M.; ŠPANĚL, M.; BERAN, V.; SMRŽ, P. Simplified Industrial Robot Programming: Effects of Errors onMultimodal Interaction in WoZ experiment. In 25th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2016. New York City: Institute of Electrical and Electronics Engineers, 2016. s. 200-205. ISBN: 978-1-5090-3929-6.
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  VEĽAS, M.; ŠPANĚL, M. Improving Multi-view Object Recognition by Detecting Changes in Point Clouds. In IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing. Atény: IEEE Computer Society, 2016. s. 1-7. ISBN: 978-1-5090-4239-5.
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  KLÍMA, O.; KLEPÁRNÍK, P.; ŠPANĚL, M.; ZEMČÍK, P. Intensity-based femoral atlas 2D/3D registration using Levenberg-Marquardt optimisation. In Biomedical Applications in Molecular, Structural, and Functional Imaging. San Diego: SPIE - the international society for optics and photonics, 2016. s. 1-6. ISBN: 978-1-5106-0023-2.
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  KLÍMA, O.; BAŘINA, D.; KLEPÁRNÍK, P.; ZEMČÍK, P.; CHROMÝ, A.; ŠPANĚL, M. Lossy Compression of 3-D Statistical Shape and Intensity Models of Femoral Bones Using JPEG 2000. In 14th IFAC Conference on Programmable Devices and Embedded Systems PDES 2016 Brno, Czech Republic, 5-7 October 2016. IFAC-PapersOnLine (ELSEVIER). Brno / Lednice: Elsevier Science, 2016. s. 115-120. ISSN: 2405-8963.
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  KLÍMA, O.; CHROMÝ, A.; ZEMČÍK, P.; KLEPÁRNÍK, P.; ŠPANĚL, M. A Study on Performace of Levenberg-Marquardt and CMA-ES Optimization Methods for Atlas-based 2D/3D Reconstruction. In 14th IFAC Conference on Programmable Devices and Embedded Systems PDES 2016 Brno, Czech Republic, 5-7 October 2016. IFAC-PapersOnLine (ELSEVIER). Brno / Lednice: Elsevier Science, 2016. s. 121-126. ISSN: 2405-8963.
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• 2015

  MAST, M.; MATERNA, Z.; ŠPANĚL, M.; WEISSHARDT, F.; ARBEITER, G.; BURMESTER, M.; SMRŽ, P. Semi-Autonomous Domestic Service Robots: Evaluation of a User Interface for Remote Manipulation and Navigation With Focus on Effects of Stereoscopic Display. International Journal of Social Robotics, 2015, roč. 2015, č. 7, s. 183-202. ISSN: 1875-4791.
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  KLÍMA O, KLEPÁRNÍK P, ŠPANĚL M, ZEMČÍK P. GP-GPU Accelerated Intensity-based 2D/3D Registration Pipeline. Shape 2015 Symposium on Statistical Shape Models & Applications Proceedings. Délemont: Swiss Institute for Computer Aided Surgery, 2015. s. 19-19.
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  MAST, M.; BURMESTER, M.; GRAF, B.; WEISSHARDT, F.; ARBEITER, G.; ŠPANĚL, M.; MATERNA, Z.; SMRŽ, P.; KRONREIF, G. Design of the human-robot interaction for a semi-autonomous service robot to assist elderly people. In Ambient Assisted Living. Advanced Technologies and Societal Change. Berlin: Springer International Publishing, 2015. s. 15-29. ISBN: 978-3-319-11865-9.
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• 2014

  VEĽAS, M.; ŠPANĚL, M.; MATERNA, Z.; HEROUT, A. Calibration of RGB Camera With Velodyne LiDAR. In WSCG 2014 Communication Papers Proceedings. Journal of WSCG. Plzeň: Union Agency, 2014. s. 135-144. ISBN: 978-80-86943-71-8. ISSN: 1213-6972.
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• 2013

  HULÍK, R.; ŠPANĚL, M.; MATERNA, Z.; SMRŽ, P. Continuous Plane Detection in Point-cloud Data Based on 3D Hough Transform. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2013, roč. 25, č. 1, s. 86-97. ISSN: 1047-3203.
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  MAST, M.; ŠPANĚL, M.; ARBEITER, G.; ŠTANCL, V.; MATERNA, Z.; WEISSHARDT, F.; BURMESTER, M.; SMRŽ, P. Teleoperation of Domestic Service Robots: Effects of Global 3D Environment Maps in the User Interface on Operators' Cognitive and Performance Metrics. Proceedings of International Conference on Social Robotics. Lecture Notes in Computer Science. Lecture Notes in Artificial Intelligence (LNCS/LNAI). Bristol: Springer Verlag, 2013. s. 392-401. ISBN: 978-3-319-02674-9. ISSN: 0302-9743.
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• 2012

  HULÍK, R.; BERAN, V.; ŠPANĚL, M.; KRŠEK, P.; SMRŽ, P. Fast and Accurate Plane Segmentation in Depth Maps for Indoor Scenes. In IEEE International Conference on Intelligent Robots and Systems. Vilamoura, Algarve: Department of Computer Graphics and Multimedia FIT BUT, 2012. s. 1665-1670. ISBN: 978-1-4673-1737-5. ISSN: 2153-0858.
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  ZEMČÍK, P.; ŠPANĚL, M.; KRŠEK, P.; RICHTER, M. Methods of 3D Object Shape Acquisition. In 3-D Surface Geometry and Reconstruction. Rourkela: IGI Global, 2012. s. 1-27. ISBN: 978-1-4666-0113-0.
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• 2011

  ŠOLONY, M.; ŽÁK, P.; BERAN, V.; ŠPANĚL, M. CAMERA LOCALIZATION USING INCOMPLETE CHESSBOARD PATTERN. In VISAPP 2011 - Proceedings of the International Conference on Computer Vision Theory and Application. Algarve: Institute for Systems and Technologies of Information, Control and Communication, 2011. s. 415-418. ISBN: 978-989-8425-47-8.
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  ŠPANĚL, M.; KRŠEK, P.; ŠVUB, M.; ŠTANCL, V. Tetrahedral Meshing of Volumetric Medical Images Respecting Image Edges. Proceedings of the 14th International Conference on Computer Analysis of Images and Patterns, CAIP 2011. Lecture Notes in Computer Science. Lecture Notes in Computer Science. Berlin Heidelberg: Springer Verlag, 2011. s. 161-169. ISBN: 978-3-642-23671-6. ISSN: 0302-9743.
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• 2010

  ŠPANĚL, M.; KRŠEK, P.; ŠVUB, M.; ŠTANCL, V. Vector Segmentation of Volumetric Image Data: Tetrahedral Meshing Constrained by Image Edges. Proceedings of the 3rd International Joint Conference on Computer Vision, Imaging and Computer Graphics Theaory and Applications. Setubal: Institute for Systems and Technologies of Information, Control and Communication, 2010. s. 134-138. ISBN: 978-989-674-026-9.
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  ŠVUB, M.; KRŠEK, P.; ŠPANĚL, M.; ŠTANCL, V.; BARTOŇ, R.; VAĎURA, J. Feature preserving mesh smoothing algorithm based on local normal covariance. Proceedings of WSCG'10. 17-th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision. Plzeň: University of West Bohemia in Pilsen, 2010. s. 1-6. ISBN: 978-80-86943-86-2.
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• 2009

  KRŠEK, P.; ŠPANĚL, M.; ŠVUB, M.; ŠTANCL, V.; BARTOŇ, R.; ŠILER, O. Network Collaborative Environment Supporting 3D Medicine. Proceedings of the 31st Annual International conference of the IEEE Engineering in Medicine and Biology. Minneapolis: Institute of Electrical and Electronics Engineers, 2009. s. 261-261. ISBN: 978-1-4244-3296-7.
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• 2007

  ŠPANĚL, M.; KRŠEK, P.; ŠVUB, M.; ŠTANCL, V.; ŠILER, O. Delaunay- Based Vector Segmentation of Volumetric Medical Images. In Proceedings of the 12th International Conference on Computer Analysis of Images and Patterns, CAIP 2007. Lecture Notes in Computer Science. LNCS 4673. Berlin Heidelberg: Springer Verlag, 2007. s. 261-269. ISBN: 3-540-74271- 9. ISSN: 0302- 9743.
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• 2006

  ŠPANĚL, M.; KRŠEK, P. Vector- based Medical Image Segmentation using Adaptive Delaunay Triangulation. In Proceedings of the Sixth IASTED International Conference on Visualization, Imaging, and Image Procesing. 541. Palma de Mallorca: ACTA Press, 2006. s. 1-0. ISBN: 0-88986-600- 7.
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  KRŠEK, P.; ŠPANĚL, M.; ČERNOCHOVÁ, P.; KAŇOVSKÁ, K.; KRUPA, P.; STOKLAS, J.; MOLITOR, M. 3D Human Tissues Modeling In Clinical Applications. In Medical Information Visualisation. London: IEEE Computer Society, 2006. s. 15-0. ISBN: 0-7695-2603- 9.
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• 2004

  POTÚČEK, I., SUMEC, S., ŠPANĚL, M. Participant activity detection by hands and face movement tracking in the meeting room. In 2004 Computer Graphics International (CGI 2004). Los Alamitos: IEEE Computer Society, 2004. s. 632-635. ISBN: 0-7695-2717- 1.
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  POTÚČEK, I., ŠPANĚL, M. Face Detection in Meeting Room Using Omni- directional View. In AMI/PASCAL/IM2/ M4 workshop. Martigny: Institute for Perceptual Artificial Intelligence, 2004. s. 1 (1 s.).
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  ZEMČÍK, P., SUMEC, S., POTÚČEK, I., ŠPANĚL, M., HEROUT, A., PEČIVA, J. Summary of Image/ Video Processing for AMI Project in Brno. In Poster at MLMI' 04 workshop. Martigny: Institute for Perceptual Artificial Intelligence, 2004. s. 1 (1 s.).
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• 2003

  ŠPANĚL, M. Face Representation and Tracking Using Gabor Wavelet Networks. In Proceedings of the International Conference and Competition STUDENT EEICT 2003. Brno: Faculty of Electrical Engineering and Communication BUT, 2003. s. 303-305. ISBN: 80-214-2401- X.
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  ZEMČÍK, P., ŠPANĚL, M. Face Representation and Tracking Using Gabor Wavelet Networks. In Proceedings of the Central European Seminar on Computer Graphics. Budmerice: 2003. s. 163-169.
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