Zobrazeno 1 - 10
of 103
pro vyhledávání: '"Klaus D, Tönnies"'
Autor:
Steffen Oeltze-Jafra, Matthew J. Betts, Max Dünnwald, Philipp Ernst, Klaus D. Tönnies, Emrah Düzel
Publikováno v:
International journal of computer assisted radiology and surgery 16(12), 2129-2135 (2021). doi:10.1007/s11548-021-02528-5
International Journal of Computer Assisted Radiology and Surgery
International Journal of Computer Assisted Radiology and Surgery
Purpose Development and performance measurement of a fully automated pipeline that localizes and segments the locus coeruleus in so-called neuromelanin-sensitive magnetic resonance imaging data for the derivation of quantitative biomarkers of neurode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05a1c8a0dcc54345bbfe3948d5253a0e
https://doi.org/10.1007/s11548-021-02528-5
https://doi.org/10.1007/s11548-021-02528-5
DVS-OUTLAB: A Neuromorphic Event-Based Long Time Monitoring Dataset for Real-World Outdoor Scenarios
Publikováno v:
CVPR Workshops
Neuromorphic vision sensors are biologically inspired devices which differ fundamentally from well known frame-based sensors. Even though developments in this research area are increasing, applications that rely entirely on event cameras are still re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::510b65501d58760aff40a75750771dc6
https://doi.org/10.1109/cvprw53098.2021.00149
https://doi.org/10.1109/cvprw53098.2021.00149
Autor:
Oliver Gloger, Klaus D. Tönnies
Publikováno v:
Pattern Recognition. 84:288-300
Liver segmentation and volumetry in native MR-volume data is an important topic in epidemiological research. Manual liver segmentation is extremely time-consuming and often infeasible requiring automatized methods. Automatic liver segmentation is cha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10dfca4b5bd74b728111e7febd7478c1
https://doi.org/10.1016/j.patcog.2018.07.018
https://doi.org/10.1016/j.patcog.2018.07.018
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a9bb54467a169bdf8075fecb881b642
https://doi.org/10.1109/isbi48211.2021.9433848
https://doi.org/10.1109/isbi48211.2021.9433848
Autor:
Klaus D. Toennies
Image classification is a critical component in computer vision tasks and has numerous applications. Traditional methods for image classification involve feature extraction and classification in feature space. Current state-of-the-art methods utilize
Publikováno v:
Medical Imaging: Image Processing
Similarity measures are a critical component for iterative registration tasks. In intrinsic 2D/3D registration an initialization close to the solution is usually needed for convergence. Traditional similarity measures are limited in their applicabili
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91352abcb50f8818744bdb5af68b077a
https://doi.org/10.1117/12.2548576
https://doi.org/10.1117/12.2548576
Publikováno v:
ICPRAM
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4ce611cdad0ae212c947d635b0c5c125
https://doi.org/10.5220/0009174300960102
https://doi.org/10.5220/0009174300960102
Publikováno v:
International Journal of Social Robotics. 11:373-388
Human-aware robot navigation is an essential aspect to increase the acceptance of mobile service robots in human-centered environments, e.g. home environments. Robots need to navigate in a human-acceptable way according to the users’ conventions, p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::202ce376f1340368e796a5f5a37e952c
https://doi.org/10.1007/s12369-018-0506-3
https://doi.org/10.1007/s12369-018-0506-3
Publikováno v:
Computers in Biology and Medicine. 102:16-20
Background Radiofrequency ablation was introduced recently to treat spinal metastases, which are among the most common metastases. These minimally-invasive interventions are most often image-guided by flat-panel CT scans, withholding soft tissue cont
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fcab5817208f87883c6323f8f155e328
https://doi.org/10.1016/j.compbiomed.2018.09.003
https://doi.org/10.1016/j.compbiomed.2018.09.003
Publikováno v:
Magnetic Resonance Materials in Physics, Biology and Medicine. 31:383-397
We aimed to develop the first fully automated 3D gallbladder segmentation approach to perform volumetric analysis in volume data of magnetic resonance (MR) cholangiopancreatography (MRCP) sequences. Volumetric gallbladder analysis is performed for no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55475f9b9f61126a6259b686cc581339
https://doi.org/10.1007/s10334-017-0664-6
https://doi.org/10.1007/s10334-017-0664-6