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Estimation of Large Motion in Lung CT by Integrating Regularized Keypoint Correspondences into Dense Deformable Registration.

J. Rühaak, T. Polzin, S. Heldmann, I. Simpson, H. Handels, J. Modersitzki, and M. Heinrich. IEEE Trans. Med. Imaging, 36 (8): 1746-1757 (2017)

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Tim Janz University of Stuttgart

PD Dr. phil. Frank Janle University of Stuttgart

Benedikt Janny

Isabel Janowsky University of Stuttgart

Hon. -Prof. Dr. Martin Jansen University of Stuttgart

Other publications of authors with the same name

A matrix-free approach to parallel and memory-efficient deformable image registration.L. König, J. Rühaak, A. Derksen, and J. Lellmann. CoRR, (2018)Effiziente Verpunktung pulmonaler MR-Bilder zur Evaluierung von Registrierungsergebnissen.J. Strehlow, J. Rühaak, C. Kluck, and B. Fischer. Bildverarbeitung für die Medizin, page 219-224. Springer, (2012)A novel adaptive scoring system for segmentation validation with multiple reference masks.J. Moltz, J. Rühaak, H. Hahn, and H. Peitgen. Medical Imaging: Image Processing, volume 7962 of SPIE Proceedings, page 796214. SPIE, (2011)Highly accurate fast lung CT registration.J. Rühaak, S. Heldmann, T. Kipshagen, and B. Fischer. Medical Imaging: Image Processing, volume 8669 of SPIE Proceedings, page 86690Y. SPIE, (2013)A fast and accurate parallel algorithm for non-linear image registration using Normalized Gradient fields.L. König, and J. Rühaak. ISBI, page 580-583. IEEE, (2014)Analysis of variability in manual liver tumor delineation in CT scans.J. Moltz, S. Braunewell, J. Rühaak, F. Heckel, S. Barbieri, L. Tautz, H. Hahn, and H. Peitgen. ISBI, page 1974-1977. IEEE, (2011)Highly efficient image registration for embedded systems using a distributed multicore DSP architecture.R. Berg, L. König, J. Rühaak, R. Lausen, and B. Fischer. J. Real-Time Image Processing, 14 (2): 341-361 (2018)Landmark-based evaluation of a deformable motion correction for DCE-MRI of the liver.J. Strehlow, N. Spahr, J. Rühaak, H. Laue, N. Abolmaali, T. Preusser, and A. Schenk. Int. J. Comput. Assist. Radiol. Surg., 13 (4): 597-606 (2018)A fast alignment method for breast MRI follow-up studies using automated breast segmentation and current-prior registration.L. Wang, J. Strehlow, J. Rühaak, F. Weiler, Y. Diez, A. Gubern-Mérida, S. Diekmann, H. Laue, and H. Hahn. Medical Imaging: Image Processing, volume 9413 of SPIE Proceedings, page 941334. SPIE, (2015)Estimation of Large Motion in Lung CT by Integrating Regularized Keypoint Correspondences into Dense Deformable Registration.J. Rühaak, T. Polzin, S. Heldmann, I. Simpson, H. Handels, J. Modersitzki, and M. Heinrich. CoRR, (2018)

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Disambiguation of "Rühaak, Jan"

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Estimation of Large Motion in Lung CT by Integrating Regularized Keypoint Correspondences into Dense Deformable Registration.

Please choose a person to relate this publication to

Tim Janz University of Stuttgart

PD Dr. phil. Frank Janle University of Stuttgart

Benedikt Janny

Isabel Janowsky University of Stuttgart

Hon. -Prof. Dr. Martin Jansen University of Stuttgart

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Rühaak, Jan"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Estimation of Large Motion in Lung CT by Integrating Regularized Keypoint Correspondences into Dense Deformable Registration.

Please choose a person to relate this publication to

Tim Janz University of Stuttgart

PD Dr. phil. Frank Janle University of Stuttgart

Benedikt Janny

Isabel Janowsky University of Stuttgart

Hon. -Prof. Dr. Martin Jansen University of Stuttgart

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Estimation of Large Motion in Lung CT by Integrating Regularized Keypoint Correspondences into Dense Deformable Registration.