Self-Aligning Manifolds for Matching Disparate Medical Image Datasets-Reference-Cited by-同舟云学术

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Self-Aligning Manifolds for Matching Disparate Medical Image Datasets

Published:2015 Issue: Volume: Page:363-374
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Baumgartner Christian F.,Gomez Alberto,Koch Lisa M.,Housden James R.,Kolbitsch Christoph,McClelland Jamie R.,Rueckert Daniel,King Andy P.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-19992-4_28

Reference16 articles.

1. Baumgartner, C.F., Kolbitsch, C., Balfour, D.R., Marsden, P.K., McClelland, J.R., Rueckert, D., King, A.P.: High-resolution dynamic MR imaging of the thorax for respiratory motion correction of PET using groupwise manifold alignment. Med. Image Anal. 18(7), 939–952 (2014)

2. Dikaios, N., Izquierdo-Garcia, D., Graves, M.J., Mani, V., Fayad, Z.A., Fryer, T.D.: MRI-based motion correction of thoracic PET: initial comparison of acquisition protocols and correction strategies suitable for simultaneous PET/MRI systems. Eur. Radiol. 22(2), 439–446 (2012)

3. Gori, M., Maggini, M., Sarti, L.: Exact and approximate graph matching using random walks. IEEE T. Pattern Anal. 27(7), 1100–1111 (2005)

4. Grau, V., Becher, H., Noble, J.A.: Registration of multiview real-time 3-D echocardiographic sequences. IEEE T. Med. Imaging 26(9), 1154–1165 (2007)

5. Lecture Notes in Computer Science;R Guerrero,2014

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