Elastic Image Registration Based on Domain Decomposition with Mesh Adaptation

Autor: Ales Ronovsky, Alena Vasatova

Publikováno v: Advances in Electrical and Electronic Engineering, Vol 15, Iss 2, Pp 322-330 (2017)

Medical images are increasingly used within healthcare for diagnosis, planning treatment, and monitoring disease progression. The images acquired at different times, with different imaging modalities, from different subjects etc. often provide an add

Externí odkaz: https://doaj.org/article/d209b556c9444c58a75dbf6d895a9cfc

Elastic Image Registration Based on Domain Decomposition with Mesh Adaptation

Autor: Alena Vasatova, Ales Ronovsky

Publikováno v: Advances in Electrical and Electronic Engineering, Vol 15, Iss 2, Pp 322-330 (2017)

Medical images are increasingly used within healthcare for diagnosis, planning treatment, and monitoring disease progression. The images acquired at different times, with different imaging modalities, from different subjects etc. often provide an add

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3dba9f40c41fb2d0288b32c239d27f23
http://advances.utc.sk/index.php/AEEE/article/view/2281

Software Tool for Cranial Orthosis Design

Autor: Alena Vasatova, Milan Jaros, Petr Strakos, Tomas Karasek

Publikováno v: Lecture Notes in Computer Science ISBN: 9783319971353
HPCSE

Cranial orthoses are used to correct an abnormal children head shape, and such they have to be designed individually. Customization of those orthoses is currently fully manual task. A software tool should make this process semi-automatic with only sm

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5c13a54fffff0736575321efb9012334
https://doi.org/10.1007/978-3-319-97136-0_7

Parallel Implementation of the FETI DDM Constraint Matrix on Top of PETSc for the PermonFLLOP Package

Autor: Alena Vasatova, Martin Cermak, Vaclav Hapla

Publikováno v: Parallel Processing and Applied Mathematics ISBN: 9783319321486
PPAM (1)

This paper deals with implementation of the FETI non-overlapping domain decomposition method within our new software toolbox PERMON, combining quadratic programming algorithms and domain decomposition methods. It is built on top of the PETSc framewor

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::12825964b142a6bf907cf2f719bbec0d
https://doi.org/10.1007/978-3-319-32149-3_15

Detection of Orbital Floor Fractures by Principal Component Analysis

Autor: Alena Vasatova, Marta Jarošová, Milan Jaros, Daniel Krpelik, Petr Strakos, Tomas Karasek, Tereza Buresova

Publikováno v: Computer Information Systems and Industrial Management ISBN: 9783319453774
CISIM
Lecture Notes in Computer Science
15th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM)
15th IFIP International Conference on Computer Information Systems and Industrial Management (CISIM), Sep 2016, Vilnius, Lithuania. pp.129-138, ⟨10.1007/978-3-319-45378-1_12⟩

Part 3: Images, Visualization, Classification; International audience; Principal component analysis (PCA) is a statistical method based on orthogonal transformation, which is used to convert possibly correlated datasets into linearly uncorrelated var

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e58552d6e2780bcd6ee54f6832484cf
https://doi.org/10.1007/978-3-319-45378-1_12