Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Oleksii Bashkanov"'
Autor:
Gino Gulamhussene, Marko Rak, Oleksii Bashkanov, Fabian Joeres, Jazan Omari, Maciej Pech, Christian Hansen
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract Time-resolved volumetric magnetic resonance imaging (4D MRI) could be used to address organ motion in image-guided interventions like tumor ablation. Current 4D reconstruction techniques are unsuitable for most interventional settings becaus
Externí odkaz:
https://doaj.org/article/dafafdd333aa46dd9b0d411af05ef1c1
Autor:
Anneke Meyer, Alireza Mehrtash, Marko Rak, Oleksii Bashkanov, Bjoern Langbein, Alireza Ziaei, Adam S. Kibel, Clare M. Tempany, Christian Hansen, Junichi Tokuda
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
Abstract Preoperative assessment of the proximity of critical structures to the tumors is crucial in avoiding unnecessary damage during prostate cancer treatment. A patient-specific 3D anatomical model of those structures, namely the neurovascular bu
Externí odkaz:
https://doaj.org/article/0b307645ba7c4525a5208fe3cfd85cda
Autor:
Gino Gulamhussene, Marko Rak, Oleksii Bashkanov, Fabian Joeres, Jazan Omari, Maciej Pech, Christian Hansen
Time-resolved volumetric magnetic resonance imaging (4D MRI) could be used to address organ motion in image-guidedinterventions like tumor ablation. Current 4D reconstruction techniques are unsuitable for most interventional settings becausethey are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bfda06153cf6b6f26c0a1022d5d0a245
https://doi.org/10.21203/rs.3.rs-2202192/v1
https://doi.org/10.21203/rs.3.rs-2202192/v1
Autor:
Alireza Mehrtash, Adam S. Kibel, Marko Rak, Christian Hansen, Alireza Ziaei, Clare M. Tempany, Bjoern J Langbein, Junichi Tokuda, Anneke Meyer, Oleksii Bashkanov
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
Scientific Reports
Scientific Reports
Preoperative assessment of the proximity of critical structures to the tumors is crucial in avoiding unnecessary damage during prostate cancer treatment. A patient-specific 3D anatomical model of those structures, namely the neurovascular bundles (NV
Learning Multi-Modal Volumetric Prostate Registration With Weak Inter-Subject Spatial Correspondence
Autor:
Daniel Schindele, Christian Hansen, Marko Rak, Klaus D. Tönnies, Anneke Meyer, Oleksii Bashkanov, Martin Schostak
Publikováno v:
ISBI
Recent studies demonstrated the eligibility of convolutional neural networks (CNNs) for solving the image registration problem. CNNs enable faster transformation estimation and greater generalization capability needed for better support during medica