Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Igor, Peterlik"'
Autor:
Katsiarina Morgaenko, Vladimír Ulman, Martin Maška, Lívia Eiselleová, David Svoboda, Igor Peterlik, Lenka Tesarova, Tereza Nečasová, Dmitry V. Sorokin
Publikováno v:
IEEE Transactions on Medical Imaging
IEEE Transactions on Medical Imaging, Institute of Electrical and Electronics Engineers, 2018, pp.1-12. ⟨10.1109/TMI.2018.2845884⟩
IEEE Transactions on Medical Imaging, 2018, pp.1-12. ⟨10.1109/TMI.2018.2845884⟩
IEEE Transactions on Medical Imaging, Institute of Electrical and Electronics Engineers, 2018, pp.1-12. ⟨10.1109/TMI.2018.2845884⟩
IEEE Transactions on Medical Imaging, 2018, pp.1-12. ⟨10.1109/TMI.2018.2845884⟩
International audience; The existence of diverse image datasets accompanied by reference annotations is a crucial prerequisite for an objective benchmarking of bioimage analysis methods. Nevertheless, such a prerequisite is arduous to satisfy for tim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ee00412bccdd938ab506130eacf2982
https://doi.org/10.1109/tmi.2018.2845884
https://doi.org/10.1109/tmi.2018.2845884
Publikováno v:
Computers and Graphics
Computers and Graphics, Elsevier, 2010, 34 (1), pp.43-54. ⟨10.1016/j.cag.2009.10.005⟩
Computers and Graphics, 2010, 34 (1), pp.43-54. ⟨10.1016/j.cag.2009.10.005⟩
Computers and Graphics, Elsevier, 2010, 34 (1), pp.43-54. ⟨10.1016/j.cag.2009.10.005⟩
Computers and Graphics, 2010, 34 (1), pp.43-54. ⟨10.1016/j.cag.2009.10.005⟩
Realistic soft tissue models running in real-time are required for the development of computer-based surgical training systems. To construct a realistic soft tissue model, finite element (FE) modeling techniques are preferred over the particle-based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2b1d3d11c23ca798186a93b11c27641
Publikováno v:
Annals of Biomedical Engineering
Annals of Biomedical Engineering, 2020, 48, pp.447-462. ⟨10.1007/s10439-019-02364-4⟩
Annals of Biomedical Engineering, Springer Verlag, 2020, 48, pp.447-462. ⟨10.1007/s10439-019-02364-4⟩
Annals of Biomedical Engineering, 2020, 48, pp.447-462. ⟨10.1007/s10439-019-02364-4⟩
Annals of Biomedical Engineering, Springer Verlag, 2020, 48, pp.447-462. ⟨10.1007/s10439-019-02364-4⟩
An automatic elastic registration method suited for vascularized organs is proposed. The vasculature in both the preoperative and intra-operative images is represented as a graph. A typical application of this method is the fusion of pre-operative in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ac53ea461845967df06a20a10dccf98
https://hal.science/hal-02401280/document
https://hal.science/hal-02401280/document
Publikováno v:
Lecture Notes in Computational Vision and Biomechanics ISBN: 9783030431945
CMBBE 2019-16th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering
CMBBE 2019-16th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering, Aug 2019, New York (NY), United States
CMBBE 2019-16th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering
CMBBE 2019-16th International Symposium on Computer Methods in Biomechanics and Biomedical Engineering, Aug 2019, New York (NY), United States
International audience; Identifying the elastic parameters of a finite element model from a dynamically acquired set of observations is a fundamental challenge in many data-driven medical applications going from soft surgical robotics to image-guided
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7a57d507be12ca44e36fde34ae4b958
https://doi.org/10.1007/978-3-030-43195-2_19
https://doi.org/10.1007/978-3-030-43195-2_19
Autor:
S. Scheib, Pascal Paysan, Jan Schreier, Toon Roggen, Claas Wessels, Igor Peterlik, Liangjia Zhu, Martin Buchacek
Publikováno v:
Artificial Neural Networks in Pattern Recognition ISBN: 9783030583088
ANNPR
ANNPR
Image guidance became one of the most important key technologies in radiation therapy in the last two decades. Nowadays medical images play a key role in virtually every aspect of the common treatment workflows. Advances in imaging hardware and algor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c21e813675d8a93170994c533c4fddb
https://doi.org/10.1007/978-3-030-58309-5_1
https://doi.org/10.1007/978-3-030-58309-5_1
Autor:
Christopher Nguan, Hadrien Courtecuisse, Septimiu E. Salcudean, Robert Rohling, Purang Abolmaesumi, Stéphane Cotin, Igor Peterlik
Publikováno v:
Medical Image Analysis
Medical Image Analysis, Elsevier, 2018, 45, pp.24-40. ⟨10.1016/j.media.2017.12.006⟩
Medical Image Analysis, 2018, 45, pp.24-40. ⟨10.1016/j.media.2017.12.006⟩
Medical Image Analysis, Elsevier, 2018, 45, pp.24-40. ⟨10.1016/j.media.2017.12.006⟩
Medical Image Analysis, 2018, 45, pp.24-40. ⟨10.1016/j.media.2017.12.006⟩
International audience; A fast and accurate fusion of intra-operative images with a pre-operative data is a key component of computer-aided interventions which aim at improving the outcomes of the intervention while reducing the patient's discomfort.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c10f4da8c2c7b7b5529bc3094e3cfa9d
https://doi.org/10.1016/j.media.2017.12.006
https://doi.org/10.1016/j.media.2017.12.006
Publikováno v:
Innovation and Research in BioMedical engineering
Innovation and Research in BioMedical engineering, Elsevier Masson, In press
Innovation and Research in BioMedical engineering, 2018, 39 (1), pp.18-25. ⟨10.1016/j.irbm.2017.10.005⟩
Innovation and Research in BioMedical engineering, Elsevier Masson, In press
Innovation and Research in BioMedical engineering, 2018, 39 (1), pp.18-25. ⟨10.1016/j.irbm.2017.10.005⟩
International audience; Background: Preoperative images such as computed tomography scans or magnetic resonance imaging contain lots of valuable information that are not easily available for surgeons during an operation. To help the clinicians better
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad02a78a7ec3ca6e5c4bfcd71d36fbf4
https://doi.org/10.1016/j.irbm.2017.10.005
https://doi.org/10.1016/j.irbm.2017.10.005
Publikováno v:
International Journal of Computer Assisted Radiology and Surgery
Biomechanical simulation of anatomical deformations caused by ultrasound probe pressure is of outstanding importance for several applications, from the testing of robotic acquisition systems to multi-modal image fusion and development of ultrasound t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b7c1f3ab40c8341cbc263005a13a82d3
https://pubmed.ncbi.nlm.nih.gov/32445126
https://pubmed.ncbi.nlm.nih.gov/32445126
Autor:
Vladimír Ulman, David Wiesner, Martin Maška, Tereza Nečasová, Dmitry V. Sorokin, David Svoboda, Igor Peterlik
Publikováno v:
ICIP
Development, parameter tuning, and objective benchmarking of bioimage analysis workflows heavily rely on the availability of diverse bioimage datasets accompanied by reference annotations. In this paper, we present a new benchmark dataset, FiloData3D
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1fc8fd75d5b79f323b6685e68ff98f2
https://doi.org/10.1109/icip.2019.8803721
https://doi.org/10.1109/icip.2019.8803721
Autor:
Chiara Tenga, Igor Peterlik, Enrico Magnabosco, Eleonora Tagliabue, Diego Dall'Alba, Paolo Fiorini
Publikováno v:
International Journal of Computer Assisted Radiology and Surgery
International Journal of Computer Assisted Radiology and Surgery, Springer Verlag, 2019, 14 (8), pp.1329-1339. ⟨10.1007/s11548-019-01997-z⟩
International Journal of Computer Assisted Radiology and Surgery, 2019, 14 (8), pp.1329-1339. ⟨10.1007/s11548-019-01997-z⟩
International Journal of Computer Assisted Radiology and Surgery, Springer Verlag, 2019, 14 (8), pp.1329-1339. ⟨10.1007/s11548-019-01997-z⟩
International Journal of Computer Assisted Radiology and Surgery, 2019, 14 (8), pp.1329-1339. ⟨10.1007/s11548-019-01997-z⟩
International audience; Purpose Although ultrasound (US) images represent the most popular modality for guiding breast biopsy, malignant regions are often missed by sonography, thus preventing accurate lesion localization which is essential for a suc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ded50af946b0a97bdb074bfde743f62e
https://pubmed.ncbi.nlm.nih.gov/31250254
https://pubmed.ncbi.nlm.nih.gov/31250254