updated on April 10, 2024
L. Jakaite, V. Schetinin, J. Hladůvka, S. Minaev, A. Ambia, and W. Krzanowski. Deep learning for early detection of pathological changes in X-ray bone microstructures: Case of osteoarthritis, Scientific Reports, vol. 11, no. 2294, 2021, DOI:10.1038/s41598-021-81786-4.
A. A. Novikov, D. Major, D. Lenis, J. Hladůvka, M. Wimmer, and K. Bühler. Fully convolutional architectures for multi-class segmentation in chest radiographs, IEEE Transactions on Medical Imaging, vol. 37, no. 8, pp. 1865–1876, 2018, DOI:10.1109/TMI.2018.2806086.
D. Major, J. Hladůvka, F. Schulze, and K. Bühler. Automated landmarking and labeling of fully and partially scanned spinal columns in CT images, Medical Image Analysis, vol. 17, no. 8, pp. 1151–1163, 2013, DOI:10.1016/J.MEDIA.2013.07.005.
S. Bruckner, V. Šoltészová, E. Gröller, J. Hladůvka, K. Bühler, J. Y. Yu, and B. J. Dickson. BrainGazer – visual queries for neurobiology research, IEEE Transactions on Visualization and Computer Graphics, vol. 15, no. 6, pp. 1497–1504, 2009, DOI:10.1109/TVCG.2009.121.
J. Hladůvka and E. Gröller. Exploiting the Hessian matrix for content-based retrieval of volume-data features, The Visual Computer, vol. 18, no. 4, pp. 207–217, 2002, DOI:10.1007/s003710100141.
J. Hladůvka and E. Gröller. Smallest 2nd-order derivatives for efficient volume-data representation, Computers and Graphics, vol. 26, no. 2, pp. 229–238, 2002, DOI:10.1016/S0097-8493(02)00054-7.
J. Hladůvka and W. G. Kropatsch. Fitting egg-shapes to discretized object boundaries, in Discrete geometry and mathematical morphology, 2024, pp. 107–119, DOI:10.1007/978-3-031-57793-2_9.
M. Banaeyan, C. Carratù, W. G. Kropatsch, and J. Hladůvka. Fast distance transforms in graphs and in Gmaps, in IAPR joint international workshops on statistical techniques in pattern recognition (SPR 2022) and structural and syntactic pattern recognition (SSPR 2022), 2022, pp. 193–202, DOI:10.1007/978-3-031-23028-8_20.
M. Banaeyan, W. G. Kropatsch, and J. Hladůvka. Redundant 1-cells in multi-labeled 2-Gmap irregular pyramids, in OAGM workshop: Digitalization for smart farming and forestry, 2022, pp. 5–11, DOI:10.3217/978-3-85125-954-4-01.
Y. Sauzeau, W. Kropatsch, and J. Hladůvka. Modeling the diffusion of CO2 inside leaves, in OAGM workshop: Digitalization for smart farming and forestry, 2022, pp. 70–72, DOI:10.3217/978-3-85125-954-4-11.
A. Palmrich, K. Voggeneder, D. Tholen, G. Theroux-Rancourt, J. Hladůvka, and W. Kropatsch. An unsupervised, shape-based 3D cell instance segmentation method for plant tissues, in OAGM workshop: Digitalization for smart farming and forestry, 2022, pp. 54–59, DOI:10.3217/978-3-85125-954-4-08.
R. Grexová, K. Voggeneder, D. Tholen, G. Theroux-Rancourt, W. Kropatsch, and J. Hladůvka. Towards uncertainty detection in automated leaf tissue segmentation, in OAGM workshop: Digitalization for smart farming and forestry, 2022, pp. 47–53, DOI:10.3217/978-3-85125-954-4-07.
F. Bogner, J. Hladůvka, and W. G. Kropatsch. Implicit encoding and simplification/reduction of nGmaps, in Discrete geometry and mathematical morphology, 2022, pp. 110–122, DOI:10.1007/978-3-031-19897-7_10.
V. Renner and J. Hladůvka. Towards identification of incorrectly segmented OCT scans, in Joint austrian computer vision and robotics workshop, 2020, pp. 159–165, DOI:10.3217/978-3-85125-752-6-36.
D. Batavia, J. Hladůvka, and W. Kropatsch. Partitioning 2D images into prototypes of slope region, in Computer analysis of images and patterns, 2019, pp. 363–374, DOI:10.1007/978-3-030-29888-3_29.
V. V. Kniaz, V. A. Knyaz, J. Hladůvka, W. G. Kropatsch, and V. A. Mizginov. ThermalGAN: Multimodal color-to-thermal image translation for person re-identification in multispectral dataset, in Computer vision – ECCV 2018 workshops, 2019, pp. 606–624, DOI:10.1007/978-3-030-11024-6_46.
J. Hladůvka, A. Enkhbayar, B. Norman, and R. Ljuhar. Automated ROI placement and trabecula-driven orientation for radiographic texture analyses of calcaneus, in Proceedings of international symposium on biomedical imaging, 2016, pp. 164–167, DOI:10.1109/ISBI.2016.7493235.
D. Major, A. A. Novikov, M. Wimmer, J. Hladůvka, and K. Bühler. Automated slice-based artery identification in various field-of-view CTA scans, in Eurographics workshop on visual computing for biology and medicine, 2015, DOI:10.2312/VCBM.20151215.
J. Hladůvka, D. Major, and K. Bühler. Bone profiles: Simple, fast, and reliable spine localization in CT scans, in Recent advances in computational methods and clinical applications for spine imaging (lecture notes in computational vision and biomechanics), 2015, vol. 20, pp. 173–184, DOI:10.1007/978-3-319-14148-0_15.
S. Zambal, J. Hladůvka, A. Kanitsar, and K. Bühler. Shape and appearance models for automatic coronary artery tracking. MICCAI 2008 Contest: 3D Segmentation in Clinic: A Grand Challange, 2008.
S. Zambal, J. Hladůvka, A. Kanitsar, and K. Bühler. Shape and appearance models for automatic coronary artery tracking, The MIDAS Journal, Jul. 2008, DOI:10.54294/l78zbl.
S. Zambal, K. Bühler, and J. Hladůvka. Entropy-optimized texture models, in Proceedings of medical image computing and computer–assisted intervention, 2008, pp. 213–221, DOI:10.1007/978-3-540-85990-1_26.
S. Zambal, A. Schöllhuber, K. Bühler, and J. Hladůvka. Fast and robust localization of the heart in cardiac MRI series., in Proceedings of international conference on computer vision theory and applications, 2008, pp. 314–316.
S. Zambal, J. Hladůvka, K. Bühler, and A. Neubauer. A fully automatic system for segmentation and analysis of the left and right ventricles of the heart using a bi-temporal two-component model, in Proceedings of computer assisted radiology and surgery, 2007, pp. 93–94.
S. Zambal, J. Hladůvka, and K. Bühler. Improving segmentation of the left ventricle using a two-component statistical model, in Proceedings of medical image computing and computer–assisted intervention, 2006, pp. 151–158, DOI:10.1007/11866565_19.
J. Hladůvka and K. Bühler. MDL spline models: Gradients and polynomial reparameterisations, in Proceedings of british machine vision conference, 2005, vol. 2, pp. 869–878.
A. Kanitsar, T. Theußl, L. Mroz, M. Šrámek, A. V. i Bartolí, B. Csébfalvi, J. Hladůvka, D. Fleischmann, M. Knapp, R. Wegenkittl, P. Felkel, S. Röttger, S. Guthe, W. Purgathofer, and E. Gröller. Christmas tree case study: Computed tomography as a tool for mastering complex real world objects with applications in computer graphics., in Proceedings of IEEE visualization, 2002, pp. 489–492, DOI:10.1109/VISUAL.2002.1183812.
T. Theußl, T. Möller, J. Hladůvka, and E. Gröller. Reconstruction issues in volume visualization, in Data visualization: The state of the art, 2003, pp. 109–126, DOI:10.1007/978-1-4615-1177-9_8.
J. Hladůvka and E. Gröller. Direction-driven shape-based interpolation of volume data, in Proceedings of vision, modeling, and visualization, 2001, pp. 113–120, 521.
J. Hladůvka, A. König, and E. Gröller. Salient representation of volume data, in Data visualization 2001, proceedings of the Joint Eurographics – IEEE TCVG symposium on visualization, 2001, pp. 203–211, 351, DOI:10.1007/978-3-7091-6215-6_22.
J. Hladůvka, A. König, and E. Gröller. Exploiting eigenvalues of the Hessian matrix for volume decimation, in 9th international conference in central europe on computer graphics, visualization, and computer vision, 2001, pp. 124–129.
J. Hladůvka, A. König, and E. Gröller. Curvature-based transfer functions for direct volume rendering, in Spring conference on computer graphics, 2000, pp. 58–65.
V. Pelletier and J. Hladůvka. Eggshapes: A collection of egg-shaped objects and their boundaries, Dec. 2023, DOI:10.48436/de66n-2pj41.
M. Jobst, L. Gruber, J. Hladůvka, C. Gerner, and G. D. Favero. Unraveling the secrets of cell motility: From images to -omics with the help of bioinformatics, in 11th Visegrad symposium on biomolecular interactions, 2023.
T. Haftner, R. Ljuhar, H. P. D. D. Ljuhar, J. Hladůvka, and S. Nehrer. Combining radiographic texture parameters increases tibiofemoral osteoarthritis detection accuracy: Data from the osteoarthritis initiative, Osteoarthritis and Cartilage, vol. 25, p. 261, Apr. 2017, DOI:10.1016/J.JOCA.2017.02.437.
R. Ljuhar, B. Norman, D. Ljuhar, T. Haftner, J. Hladůvka, M. B. T. Mai, H. Canhão, J. C. Branco, A. Rodrigues, N. Gouveia, S. Nehrer, A. Fahrleitner-Pammer, and H. P. Dimai. A novel feature selection algorithm based on bone micro architecture analysis to identify osteoarthritis, Annals of the Rheumatic Diseases, vol. 75, no. 2, pp. 637–638, Jun. 2016.
R. Ljuhar, S. Nehrer, B. Norman, D. Ljuhar, T. Haftner, J. Hladůvka, M. B. T. Mai, H. Canhão, J. C. Branco, A. Rodrigues, N. Gouveia, A. Fahrleitner-Pammer, and H. P. Dimai. A clinical study to examine thresholds of joint space width and joint space area for identification of knee osteoarthritis, Annals of the Rheumatic Diseases, vol. 75, no. 2, p. 871, Jun. 2016.
R. Ljuhar, B. Norman, D. Ljuhar, T. Haftner, J. Hladůvka, H. Canhăo, J. C. Branco, A. Rodrigues, N. Gouveia, S. Nehrer, A. Fahrleitner-Pammer, and H. P. Dimai. A novel method for the assessment of knee joint space width and subchondral bone micro architecture, Osteoarthritis and Cartilage, vol. 24, p. 397, Apr. 2016, DOI:10.1016/J.JOCA.2016.01.677.
R. Ljuhar, B. Norman, D. Ljuhar, S. Nehrer, M. Riedl, J. Hladůvka, F. Stiassny, C. Wetzel, and C. Westhauser. Computer-assisted diagnosis and monitoring of degenerative bone diseases, Osteoarthritis and Cartilage, vol. 24, p. 319, Apr. 2016, DOI:10.1016/J.JOCA.2016.01.570.
A. Enkhbayar, B. Norman, R. Ljuhar, and J. Hladůvka. Automated ROI placement in high-resolution radiographs of calcaneus, in Poster at the eurographics workshop on visual computing for biology and medicine, 2014.
D. Major, J. Hladůvka, and K. Bühler. Automated labeling framework applied on full and partial spine CT scans, in Abstract and presentation at ECR, 2013.
K. Bühler, D. Major, J. Hladůvka, and R. Wegenkittl. Towards instant computational support for interactive diagnosis, ECR Today, Mar. 2013.
D. Major, F. Schulze, J. Hladůvka, and K. Bühler. Highly optimized landmark localization in medical images, Poster in Proceedings of ICVSS, 2012.
J. Hladůvka. Derivatives and eigensystems for volume-data analysis and visualization, PhD thesis, Institute of Computer Graphics; Algorithms, Vienna University of Technology, 2001.
J. Hladůvka. Algorithms of fast volume rendering (in Slovak), Master’s thesis, Department of Computer Graphics; Image Processing, Comenius University Bratislava, 1996.
D. Major, J. Hladůvka, and K. Bühler. Method, apparatus and system for automated spine labeling.
J. Hladůvka, D. Major, and K. Bühler. Method, apparatus and system for identifying a specific part of a spine in an image.
J. Hladůvka, D. Major, and K. Bühler. Method, apparatus and system for localizing a spine.
S. Bruckner, V. Šoltészová, K. Bühler, and J. Hladůvka. Visual queries in data exploration.
M. Wimmer, J. Hladůvka, and M. Ilčík, Eds. Proceedings of the 21st central european seminar on computer graphics. 2017.
M. Wimmer, J. Hladůvka, and M. Ilčík, Eds. Proceedings of the 20th central european seminar on computer graphics. 2016.
M. Wimmer, J. Hladůvka, and M. Ilčík, Eds. Proceedings of the 19th central european seminar on computer graphics. 2015.
M. Wimmer, J. Hladůvka, and M. Ilčík, Eds. Proceedings of the 18th central european seminar on computer graphics. 2014.
M. Wimmer, J. Hladůvka, and M. Ilčík, Eds. Proceedings of the 17th central european seminar on computer graphics. 2013.
M. Wimmer, J. Hladůvka, and M. Ilčík, Eds. Proceedings of the 16th central european seminar on computer graphics. 2012.
M. Wimmer, J. Hladůvka, and M. Ilčík, Eds. Proceedings of the 15th central european seminar on computer graphics. 2011.
M. Wimmer, J. Hladůvka, and M. Ilčík, Eds. Proceedings of the 14th central european seminar on computer graphics. 2010.
M. Wimmer, J. Hladůvka, and M. Ilčík, Eds. Proceedings of the 13th central european seminar on computer graphics. 2009.
M. Wimmer, J. Hladůvka, and M. Lipp, Eds. Proceedings of the 12th central european seminar on computer graphics. 2008.
M. Wimmer, J. Hladůvka, and G. Zotti, Eds. Proceedings of the 11th central european seminar on computer graphics. 2007.
M. Wimmer, J. Hladůvka, and H. Hauser, Eds. Proceedings of the 10th central european seminar on computer graphics. 2006.
M. Wimmer, J. Hladůvka, and R. Mantiuk, Eds. Proceedings of the 9th central european seminar on computer graphics. 2005.
I. Viola, J. Hladůvka, and J. Žára, Eds. Proceedings of the 8th central european seminar on computer graphics. 2004.
J. Hladůvka, F. Bogner, and W. G. Kropatsch. Implicit unbounded n-gmaps for images: A membrane-centric encoding using bit-flips, PRIP, TU Wien, PRIP-TR-154, 2022.
J. Hladůvka, B. T. M. Phuong, R. Ljuhar, D. Ljuhar, A. M. Rodrigues, J. C. Branco, and H. Canhão. Femoral ROIs and entropy for texture-based detection of osteoarthritis from high-resolution knee radiographs, CoRR, vol. abs/1703.09296, 2017, DOI:10.48550/arXiv.1703.09296.
S. Zambal, K. Bühler, and J. Hladůvka. Entropy-optimized texture models, VRVis, Donau-City-Strasse 1, A-1200 Vienna, Austria, TR-VRVis-2008-015, Mar. 2008.
S. Zambal, A. Schöllhuber, K. Bühler, and J. Hladůvka. Fast and robust localization of the heart in cardiac MRI series, VRVis, Donau-City-Strasse 1, A-1200 Vienna, Austria, TR-VRVis-2007-009, Mar. 2007.
S. Zambal, J. Hladůvka, K. Bühler, and A. Neubauer. A fully automatic system for segmentation and analysis of the left and right ventricles of the heart using a bi-temporal two-component model, VRVis, Donau-City-Strasse 1, A-1200 Vienna, Austria, TR-VRVis-2007-008, Jan. 2007.
S. Zambal, J. Hladůvka, and K. Bühler. Improving segmentation of the left ventricle using a two-component statistical model, VRVis, Donau-City-Strasse 1, A-1200 Vienna, Austria, TR-VRVis-2006-010, Mar. 2006.
J. Hladůvka and K. Bühler. A prototype for automatic building of genus-zero shape models, VRVis, Donau-City-Strasse 1, A-1200 Vienna, Austria, TR-VRVis-2005-039, Dec. 2005.
J. Hladůvka and K. Bühler. A tool for automatic building of 2D MDL shape models, VRVis, Donau-City-Strasse 1, A-1200 Vienna, Austria, TR-VRVis-2005-038, Dec. 2005.
J. Hladůvka and K. Bühler. MDL spline models: Gradients and polynomial reparametrisations, VRVis, Donau-City-Strasse 1, A-1200 Vienna, Austria, TR-VRVis-2005-016, Apr. 2005.
J. Hladůvka. Initializing AAM-based spine segmentation, VRVis, Donau-City-Strasse 1, A-1200 Vienna, Austria, TR-VRVis-2009-005, May 2009.
J. Hladůvka and K. Bühler. Polynomial reparametrizations for 2D MDL shape modelling, VRVis, Donau-City-Strasse 1, A-1200 Vienna, Austria, TR-VRVis-2004-041, Dec. 2004.
J. Hladůvka and K. Bühler. MDL shape models: Implementation issues, VRVis, Donau-City-Strasse 1, A-1200 Vienna, Austria, TR-VRVis-2004-040, Dec. 2004.
J. Hladůvka. Establishing point correspondence on training set boundaries, VRVis, Donau-City-Strasse 1, A-1200 Vienna, Austria, TR-VRVis-2003-040, Dec. 2003.
A. Kanitsar, T. Theussl, L. Mroz, M. Šrámek, A. V. i Bartolí, B. Csébfalvi, J. Hladůvka, D. Fleischmann, M. Knapp, R. Wegenkittl, P. Felkel, S. Röttger, S. Guthe, W. Purgathofer, and E. Gröller. Christmas tree case study: Computed tomography as a tool for mastering complex real world objects with applications in computer graphics, Institute of Computer Graphics; Algorithms, Vienna University of Technology, TR-186-2-02-07, 2002.
T. Theußl, T. Möller, J. Hladůvka, and E. Gröller. Reconstruction issues in volume visualization, Institute of Computer Graphics; Algorithms, Vienna University of Technology, TR-186-2-01-14, Jun. 2001.
J. Hladůvka and E. Gröller. Direction-driven shape-based interpolation of volume data, Institute of Computer Graphics; Algorithms, Vienna University of Technology, TR-186-2-01-12, May 2001.
J. Hladůvka and E. Gröller. Salient representation of volume data, Institute of Computer Graphics; Algorithms, Vienna University of Technology, Karlsplatz 13/186/2, A-1040 Vienna, Austria, TR-186-2-00-26, Dec. 2000.
J. Hladůvka and E. Gröller. Exploiting eigenvalues of the Hessian matrix for volume decimation, Institute of Computer Graphics; Algorithms, Vienna University of Technology, Karlsplatz 13/186/2, A-1040 Vienna, Austria, TR-186-2-00-19, Oct. 2000.
J. Hladůvka, A. König, and E. Gröller. Curvature-based transfer functions for direct volume rendering, Institute of Computer Graphics 186-2, Vienna University of Technology, Vienna, Austria, TR-186-2-00-01, Jan. 2000.