Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Jens Keuchel"'
Evaluation of a novel elastic registration algorithm for spinal imaging data: A pilot clinical study
Autor:
Carsten Rendenbach, Jens Keuchel, Marc Regier, Ahmed Al-Dam, Max Heiland, Alireza Nasirpour, Patrick Hiepe, Ashkan Rashad
Publikováno v:
The international journal of medical robotics + computer assisted surgery : MRCAS. 15(3)
BACKGROUND Rigid image coregistration is an established technique that allows spatial aligning. However, rigid fusion is prone to deformation of the imaged anatomies. In this work, a novel fully automated elastic image registration method is evaluate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b78aa9d754fa0da278d97053c7a8b8c
https://pubmed.ncbi.nlm.nih.gov/30758130
https://pubmed.ncbi.nlm.nih.gov/30758130
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 25:1364-1379
We introduce a novel optimization method based on semidefinite programming relaxations to the field of computer vision and apply it to the combinatorial problem of minimizing quadratic functionals in binary decision variables subject to linear constr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d548a871e3ded61f7360e91a6cd03a4c
https://doi.org/10.1109/tpami.2003.1240111
https://doi.org/10.1109/tpami.2003.1240111
Publikováno v:
Remote Sensing of Environment. 86:530-541
Automatic land cover classification from satellite images is an important topic in many remote sensing applications. In this paper, we consider three different statistical approaches to tackle this problem: two of them, namely the well-known maximum
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce32703f13e718d1a303f14c9ed0a2ee
https://doi.org/10.1016/s0034-4257(03)00130-5
https://doi.org/10.1016/s0034-4257(03)00130-5
Autor:
Maximilian E. H. Wagner, Majeed Rana, Daniel Modrow, Christopher H.K. Chui, Nils-Claudius Gellrich, Madiha Rana, Jens Keuchel
Publikováno v:
Journal of cranio-maxillo-facial surgery : official publication of the European Association for Cranio-Maxillo-Facial Surgery. 43(3)
Introduction In the treatment of cancer in the head and neck region, computer-assisted surgery can be used to estimate location and extent by segmentation of the tumor. This article presents a new tool (Smartbrush), which allows for faster automated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6dba4c720efd2b28a6369bd4c83a2d62
https://pubmed.ncbi.nlm.nih.gov/25600025
https://pubmed.ncbi.nlm.nih.gov/25600025
Autor:
Jens Keuchel, Daniel Küttel
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540444121
DAGM-Symposium
DAGM-Symposium
Methods based on pairwise similarity relations have been successfully applied to unsupervised image segmentation problems. One major drawback of such approaches is their computational demand which scales quadratically with the number of pixels. Adapt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d94ef9186ff297b0e60fe0355ee2b13d
https://doi.org/10.1007/11861898_5
https://doi.org/10.1007/11861898_5
Autor:
Jens Keuchel
Publikováno v:
Computer Vision – ECCV 2006 ISBN: 9783540338345
ECCV (2)
ECCV (2)
We propose a semidefinite relaxation technique for multiclass image labeling problems. In this context, we consider labeling as a special case of supervised classification with a predefined number of classes and known but arbitrary dissimilarities be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::578bd94e54076b8729c0bdd1fbd4a5b1
https://doi.org/10.1007/11744047_35
https://doi.org/10.1007/11744047_35
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540287032
DAGM-Symposium
DAGM-Symposium
Graph-based clustering methods are successfully applied to computer vision and machine learning problems. In this paper we demonstrate how to introduce a-priori knowledge on class membership in a systematic and principled way: starting from a convex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68b91319c2107d7a8a046bae2015a735
https://doi.org/10.1007/11550518_39
https://doi.org/10.1007/11550518_39
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540229452
DAGM-Symposium
DAGM-Symposium
Image segmentation based on graph representations has been a very active field of research recently. One major reason is that pairwise similarities (encoded by a graph) are also applicable in general situations where prototypical image descriptors as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::600c05ee17589eba7a31631104138a54
https://doi.org/10.1007/978-3-540-28649-3_15
https://doi.org/10.1007/978-3-540-28649-3_15
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540442097
DAGM-Symposium
DAGM-Symposium
We apply a novel optimization technique, semidefinite programming, to the unsupervised partitioning of images. Representing images by graphs which encode pairwise (dis)similarities of local image features, a partition of the image into coherent group
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10d6d8f7d0e733c2184c2c0b83390a5e
https://doi.org/10.1007/3-540-45783-6_18
https://doi.org/10.1007/3-540-45783-6_18
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540425960
DAGM-Symposium
DAGM-Symposium
We consider approaches to computer vision problems which require the minimization of a global energy functional over binary variables and take into account both local similarity and spatial context. The combinatorial nature of such problems has lead
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1424cdfb59a0d692a3de2ea88aae56f4
https://doi.org/10.1007/3-540-45404-7_47
https://doi.org/10.1007/3-540-45404-7_47