Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Kroon, Dirk"'
Autor:
Gerlach, Nicolaas Lucius, Meijer, Gerrit Jacobus, Kroon, Dirk-Jan, Bronkhorst, Ewald Maria, Bergé, Stefaan Jozef, Maal, Thomas Jan Jaap
Publikováno v:
In British Journal of Oral & Maxillofacial Surgery November 2014 52(9):838-844
Publikováno v:
International journal for numerical methods in biomedical engineering, 29(7), 777-805. Wiley-Blackwell
We present an immersed boundary (IB) method for the simulation of steady blood flow inside a realistic cerebral aneurysm. We reconstruct a segment of the cerebrovascular system that contains an aneurysm, by using medical images obtained with three di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::57650fc88a910b44618487cff0ed4aab
https://research.utwente.nl/en/publications/2d55417a-ebaf-4fc6-85fc-264fd92b6052
https://research.utwente.nl/en/publications/2d55417a-ebaf-4fc6-85fc-264fd92b6052
Autor:
Kroon, Dirk-Jan, Kowalski, Przemyslaw, Tekieli, Wojciech, Reeuwijk, Els, Saris, Daniël B.F., Slump, Cornelis H., van Ginneken, B., Novak, C.L.
Publikováno v:
Medical Imaging: Computer-Aided Diagnosis
Medical Imaging 2012: Computer-Aided Diagnosis
Medical Imaging 2012: Computer-Aided Diagnosis
Osteoarthritis is one of the leading causes of pain and disability worldwide and a major health problem in developed countries due to the gradually aging population. Though the symptoms are easily recognized and described by a patient, it is difficul
Autor:
Klein, Almar, Kroon, Dirk-Jan, Hoogeveen, Yvonne, Schultze Kool, Leo J., Renema, W. Klaas Jan, Slump, Cornelis H., Dawant, Denoit M., Haynor, David R.
Publikováno v:
Medical Imaging 2011: Image Processing
Medical Imaging: Image Processing
Medical Imaging: Image Processing
Multi modal image registration enables images from different modalities to be analyzed in the same coordinate system. The class of B-spline-based methods that maximize the Mutual Information between images produce satisfactory result in general, but
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::162d74e479df7c1c4e652603fac5ce42
https://doi.org/10.1117/12.878267
https://doi.org/10.1117/12.878267
This paper examines if shell oxygen isotope ratios of Unio sp. can be used as a proxy of past discharge of the river Meuse. The proxy was developed from a modern dataset for the reference time interval 1997-2007, which showed a logarithmic relationsh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3848::1c6c0606640e850809641b03c014c222
https://biblio.vub.ac.be/vubir/can-shells-of-freshwater-mussels-unionidae-be-used-to-estimate-low-summer-discharge-of-rivers-and-associated-droughts(4ea024b7-0a6b-4169-bbeb-88e0cf54a0ea).html
https://biblio.vub.ac.be/vubir/can-shells-of-freshwater-mussels-unionidae-be-used-to-estimate-low-summer-discharge-of-rivers-and-associated-droughts(4ea024b7-0a6b-4169-bbeb-88e0cf54a0ea).html
By means of a monitoring experiment in two rivers in the Netherlands, we establish a relationship between seasonally resolved growth rates in unionid freshwater bivalves and their environment. We reconstructed these seasonally resolved growth rates b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3848::0ba17f4cb3bb8717d58ffbf645a385e6
https://hdl.handle.net/20.500.14017/e6afc5a7-7845-48b1-b23a-24d7d69a6754
https://hdl.handle.net/20.500.14017/e6afc5a7-7845-48b1-b23a-24d7d69a6754
Autor:
Kroon, Dirk-Jan, Slump, Cornelis H., Maal, Thomas J.J., Jiang, Tianzi, Navab, Nassir, Pluim, Josien P.W., Viergever, Max A.
Publikováno v:
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010 ISBN: 9783642157103
MICCAI (3)
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010: 13th International Conference, Beijing, China, September 20-24, 2010: Proceedings, 221-228
STARTPAGE=221;ENDPAGE=228;TITLE=Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010
MICCAI (3)
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010: 13th International Conference, Beijing, China, September 20-24, 2010: Proceedings, 221-228
STARTPAGE=221;ENDPAGE=228;TITLE=Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010
Cone-beam computed tomography (CBCT) is an important image modality for dental surgery planning, with high resolution images at a relative low radiation dose. In these scans the mandibular canal is hardly visible, this is a problem for implant surger
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::503ec9c24b419a057c1f4f6944380ef3
https://doi.org/10.1007/978-3-642-15711-0_28
https://doi.org/10.1007/978-3-642-15711-0_28
*
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3848::ae5bb115655e2bc699243d9e2cb383ea
https://biblio.vub.ac.be/vubir/oxygen-isotope-composition-of-bivalve-seasonal-growth-increments-and-ambient-water-in-the-rivers-rhine-and-meuse(1c8cd5ad-0234-4be1-a89b-498d75928615).html
https://biblio.vub.ac.be/vubir/oxygen-isotope-composition-of-bivalve-seasonal-growth-increments-and-ambient-water-in-the-rivers-rhine-and-meuse(1c8cd5ad-0234-4be1-a89b-498d75928615).html
Autor:
Kroon, Dirk-Jan, Slump, Cornelis H.
Publikováno v:
Proceedings of the 4th Annual Symposium of the IEEE-EMBS Benelux Chapter, 41-44
STARTPAGE=41;ENDPAGE=44;TITLE=Proceedings of the 4th Annual Symposium of the IEEE-EMBS Benelux Chapter
STARTPAGE=41;ENDPAGE=44;TITLE=Proceedings of the 4th Annual Symposium of the IEEE-EMBS Benelux Chapter
Segmenting the mandibular canal from cone beam CT data, is difficult due to low edge contrast and high image noise. We introduce 3D coherence filtering as a method to close the interrupted edges and denoise the structure of the mandibular canal. Cohe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::1483f0b0a644fb2909fde93ca3cced1d
https://research.utwente.nl/en/publications/3338aa9d-489a-4644-a2bb-8b3d50d24d0c
https://research.utwente.nl/en/publications/3338aa9d-489a-4644-a2bb-8b3d50d24d0c
Publikováno v:
ISSUE=11;TITLE=11th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2008
This paper presents a local feature vector based method for automated Multiple Sclerosis (MS) lesion segmentation of multi spectral MRI data. Twenty datasets from MS patients with FLAIR, T1,T2, MD and FA data with expert annotations are available as