Delaunay-Based Vector Segmentation of Volumetric Medical Images. - Michal Spanel; Premysl Krsek; Miroslav Svub; Vít Stancl; Ondrej Siler (CAIP, 2007)

Vector Segmentation of Volumetric Image Data - Tetrahedral Meshing Constrained by Image Edges. - Michal Spanel; Premysl Krsek; Miroslav Svub; Vít Stancl (GRAPP, 2010)

Tetrahedral Meshing of Volumetric Medical Images Respecting Image Edges. - Michal Spanel; Premysl Krsek; Miroslav Svub; Vít Stancl (CAIP (1), 2011)

Camera Localization using Incomplete Chessboard Pattern. - Marek Solony; Pavel Zak; Vítezslav Beran; Michal Spanel (VISAPP, 2011)

Fast and accurate plane segmentation in depth maps for indoor scenes. - Rostislav Hulik; Vítezslav Beran; Michal Spanel; Premysl Krsek; Pavel Smrz (IROS, 2012)

Teleoperation of Domestic Service Robots: Effects of Global 3D Environment Maps in the User Interface on Operators' Cognitive and Performance Metrics. - Marcus Mast; Michal Spanel; Georg Arbeiter; Vít Stancl; Zdenek Materna; Florian Weisshardt; Michael Burmester 001; Pavel Smrz; Birgit Graf (ICSR, 2013)

The Development of a Semi-Autonomous Framework for Personal Assistant Robots - SRS Project. - Renxi Qiu; Ze Ji; Nayden Shivarov; Georg Arbeiter; Florian Weisshardt; Martijn Rooker; Rafa López; Gernot Kronreif; Michal Spanel; Dayou Li (Int. J. Intell. Mechatronics Robotics, 2013)

Continuous plane detection in point-cloud data based on 3D Hough Transform. - Rostislav Hulik; Michal Spanel; Pavel Smrz; Zdenek Materna (J. Vis. Commun. Image Represent., 2014)

Semi-Autonomous Domestic Service Robots: Evaluation of a User Interface for Remote Manipulation and Navigation With Focus on Effects of Stereoscopic Display. - Marcus Mast; Zdenek Materna; Michal Spanel; Florian Weisshardt; Georg Arbeiter; Michael Burmester 001; Pavel Smrz; Birgit Graf (Int. J. Soc. Robotics, 2015)

Collar Line Segments for fast odometry estimation from Velodyne point clouds. - Martin Velas; Michal Spanel; Adam Herout (ICRA, 2016)

Intensity-based femoral atlas 2D/3D registration using Levenberg-Marquardt optimisation. - Ondrej Klíma 002; Petr Kleparnik; Michal Spanel; Pavel Zemcík (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2016)

Simplified industrial robot programming: Effects of errors on multimodal interaction in WoZ experiment. - Zdenek Materna; Michal Kapinus; Michal Spanel; Vítezslav Beran; Pavel Smrz (RO-MAN, 2016)

Improving multi-view object recognition by detecting changes in point clouds. - Martin Velas; Thomas Faulhammer; Michal Spanel; Michael Zillich; Markus Vincze (SSCI, 2016)

Teleoperating Assistive Robots: A Novel User Interface Relying on Semi-Autonomy and 3D Environment Mapping. - Zdenek Materna; Michal Spanel; Marcus Mast; Vítezslav Beran; Florian Weisshardt; Michael Burmester 001; Pavel Smrz (J. Robotics Mechatronics, 2017)

Semi-automatic CT Image Segmentation using Random Forests Learned from Partial Annotations. - Oldrich Kodym; Michal Spanel (BIOIMAGING, 2018)

Segmentation of Head and Neck Organs at Risk Using CNN with Batch Dice Loss. - Oldrich Kodym; Michal Spanel; Adam Herout (GCPR, 2018)

CNN for IMU assisted odometry estimation using velodyne LiDAR. - Martin Velas; Michal Spanel; Michal Hradis; Adam Herout (ICARSC, 2018)

CNN for very fast ground segmentation in velodyne LiDAR data. - Martin Velas; Michal Spanel; Michal Hradis; Adam Herout (ICARSC, 2018)

Virtual 2D-3D Fracture Reduction with Bone Length Recovery Using Statistical Shape Models. - Ondrej Klíma 002; Roman Madeja; Michal Spanel; Martin Cuta; Pavel Zemcík; Pavel Stoklásek; Ales Mizera (ShapeMI@MICCAI, 2018)

Indoor and Outdoor Backpack Mapping with Calibrated Pair of Velodyne LiDARs. - Martin Velas; Michal Spanel; Tomas Sleziak; Jiri Habrovec; Adam Herout (Sensors, 2019)

Cranial Defect Reconstruction Using Cascaded CNN with Alignment. - Oldrich Kodym; Michal Spanel; Adam Herout (AutoImplant@MICCAI, 2020)

Skull shape reconstruction using cascaded convolutional networks. - Oldrich Kodym; Michal Spanel; Adam Herout (Comput. Biol. Medicine, 2020)

Segmentation of Defective Skulls from CT Data for Tissue Modelling. - Oldrich Kodym; Michal Spanel; Adam Herout (AutoImplant@MICCAI, 2021)

Deep learning for cranioplasty in clinical practice: Going from synthetic to real patient data. - Oldrich Kodym; Michal Spanel; Adam Herout (Comput. Biol. Medicine, 2021)

AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design. - Jianning Li 002; Pedro Pimentel; Angelika Szengel; Moritz Ehlke; Hans Lamecker; Stefan Zachow; Laura Jovani Estacio Cerquin; Christian Doenitz; Heiko Ramm; Haochen Shi; Xiaojun Chen 003; Franco Matzkin; et al. (IEEE Trans. Medical Imaging, 2021)

Robust Teeth Detection in 3D Dental Scans by Automated Multi-view Landmarking. - Tibor Kubík; Michal Spanel (BIOIMAGING, 2022)

Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the AutoImplant 2021 cranial implant design challenge. - Jianning Li 002; David G. Ellis; Oldrich Kodym; Laurèl Rauschenbach; Christoph Rieß; Ulrich Sure; Karsten H. Wrede; Carlos M. Alvarez; Marek Wodzinski; Mateusz Daniol; Daria Hemmerling; Hamza Mahdi; et al. (Medical Image Anal., 2023)

DEMIS: Electron Microscopy Image Stitching Using Deep Learning Features and Global Optimisation. - Petr Silling; Michal Spanel (BIOSTEC (1), 2025)

ToothForge: Automatic Dental Shape Generation Using Synchronized Spectral Embeddings. - Tibor Kubík; François Guibault; Michal Spanel; Hervé Lombaert (IPMI (2), 2025)