Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Matthias Seise"'
Publikováno v:
Journal of Pathology Informatics, Vol 2, Iss 2, Pp 9-9 (2011)
Histological investigation of a lesion induced by radiofrequency ablation (RFA) treatment provides ground-truth about the true lesion size, thus verifying the success or failure of the RFA treatment. This work presents a framework for registration of
Externí odkaz:
https://doaj.org/article/cbe33643006a4844ba67157fdc20f5c2
Publikováno v:
Skin Research and Technology. 27:404-413
Background In vivo confocal Raman spectroscopy (CRS) revealed a clear correlation of age and dermal water content, indicating increasing water content of the dermis with increasing age. This enhancement of water has been interpreted as an age-depende
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43bf3c990687216872792927435832f2
https://doi.org/10.1111/srt.12948
https://doi.org/10.1111/srt.12948
Publikováno v:
Image and Vision Computing. 27:504-513
A probabilistic method is proposed for segmenting multiple objects that overlap or are in close proximity to one another. A likelihood function is formulated that explicitly models overlapping object appearance. Priors on global appearance and geomet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51d8f1adad68bb6be0e23d40017848b5
https://doi.org/10.1016/j.imavis.2008.04.020
https://doi.org/10.1016/j.imavis.2008.04.020
Publikováno v:
IEEE Transactions on Medical Imaging. 26:666-677
Statistical shape models are often learned from examples based on landmark correspondences between annotated examples. A method is proposed for learning such models from contours with inconsistent bifurcations and loops. Automatic segmentation of tib
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fcfa5b15e1f9b96b4e534b2ff0f8955b
https://doi.org/10.1109/tmi.2007.895479
https://doi.org/10.1109/tmi.2007.895479
Autor:
Daniel Rueckert, Tuomas Alhonnoro, Sonja Köstenbauer, Ursula Mayrhauser, Matthias Seise, Judith Mühl, David O'Neill, Iris Wiederstein-Grasser, Claire Bost, Daniel Seider, Michael Sereinigg, Dieter Schmalstieg, Stephen J. Payne, Rupert Horst Portugaller, Michael Moche, Yrjö Häme, Mika Pollari, Philipp Stiegler, Marina Kolesnik, Tingying Peng, Philip Voglreiter, Rostislav Khlebnikov, Bernhard Kainz, Ronan Flanagan
Publikováno v:
11th International Symposium on Biomedical Imaging (ISBI)
ISBI
Scopus-Elsevier
ISBI
Scopus-Elsevier
© 2014 IEEE.Data below 1 mm voxel size is getting more and more common in the clinical practice but it is still hard to obtain a consistent collection of such datasets for medical image processing research. With this paper we provide a large collect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a01cf41a516d770e8cc23c6a4763ea1e
http://hdl.handle.net/10044/1/27850
http://hdl.handle.net/10044/1/27850
Publikováno v:
BMVC
A probabilistic method is proposed for segmentation of multiple objects that overlap or are in close proximity to one another. A likelihood function is formulated that explicitly models overlapping object appearance. Priors on global appearance and g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b294dc7af16e4b36070a71a48b19442c
https://doi.org/10.5244/c.20.86
https://doi.org/10.5244/c.20.86
Publikováno v:
BMVC
Statistical shape models are often learned from examples based on landmark correspondences between annotated examples. A method is proposed for learning such models from contours with inconsistent bifurcations and loops. It is evaluated on the task o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de2ba322eae4804d4984d10b593e109d
https://doi.org/10.5244/c.19.21
https://doi.org/10.5244/c.19.21
Publikováno v:
Journal of Pathology Informatics, Vol 2, Iss 2, Pp 9-9 (2011)
Journal of Pathology Informatics
Journal of Pathology Informatics
Histological investigation of a lesion induced by radiofrequency ablation (RFA) treatment provides ground-truth about the true lesion size, thus verifying the success or failure of the RFA treatment. This work presents a framework for registration of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65f11739cb759143f71539855c7cb38d
http://www.jpathinformatics.org/article.asp?issn=2153-3539
http://www.jpathinformatics.org/article.asp?issn=2153-3539