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Author |
Lucassen, G.; Dalpiaz, F.; Werf, J.M. van der; Brinkkemper, S. |
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Title |
Visualizing User Story Requirements at Multiple Granularity Levels via Semantic Relatedness |
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Conference Article |
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Year |
2016 |
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Proceedings of the 35th International Conference on Conceptual Modeling (ER 2016) |
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463-478 |
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Springer |
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Lncs |
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Series Volume  |
9974 |
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Call Number |
refbase @ admin @ LucaDalpWerfBrin2016b |
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17572 |
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Author |
Lucassen, G.; Dalpiaz, F.; Werf, J.M. van der; Brinkkemper, S. |
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Title |
The Use and Effectiveness of User Stories in Practice |
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Conference Article |
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Year |
2016 |
Publication |
Proceedings of the 22nd International Working Conference on Requirements Engineering: Foundation for Software Quality (REFSQ16) |
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205-222 |
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Lncs |
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Series Volume  |
9619 |
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no |
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refbase @ admin @ LucaDalpWerfBrin2016a |
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17568 |
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Author |
Lombriser, P.; Dalpiaz, F.; Lucassen, G.; Brinkkemper, S. |
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Title |
Gamified Requirements Engineering: Model and Experimentation |
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Conference Article |
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Year |
2016 |
Publication |
Proceedings of the 22nd International Working Conference on Requirements Engineering: Foundation for Software Quality (REFSQ16) |
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171-187 |
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Lncs |
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Series Volume  |
9619 |
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no |
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Call Number |
refbase @ admin @ LombDalpLucaBrin2016 |
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17576 |
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Author |
Vercauteren, T.; Pennec, X.; Perchant, A.; Ayache, N. |
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Title |
Non-parametric diffeomorphic image registration with the demons algorithm |
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Conference Article |
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Year |
2007 |
Publication |
Proceedings of the 10th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI'07) |
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10 |
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Pt 2 |
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319-326 |
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Keywords |
*Algorithms; *Artificial Intelligence; Image Enhancement/methods; Image Interpretation, Computer-Assisted/*methods; Imaging, Three-Dimensional/*methods; Pattern Recognition, Automated/*methods; Reproducibility of Results; Sensitivity and Specificity; *Subtraction Technique |
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Abstract |
We propose a non-parametric diffeomorphic image registration algorithm based on Thirion's demons algorithm. The demons algorithm can be seen as an optimization procedure on the entire space of displacement fields. The main idea of our algorithm is to adapt this procedure to a space of diffeomorphic transformations. In contrast to many diffeomorphic registration algorithms, our solution is computationally efficient since in practice it only replaces an addition of free form deformations by a few compositions. Our experiments show that in addition to being diffeomorphic, our algorithm provides results that are similar to the ones from the demons algorithm but with transformations that are much smoother and closer to the true ones in terms of Jacobians. |
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Address |
Asclepios Research Group, INRIA Sophia-Antipolis, France |
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Springer-Verlag |
Place of Publication |
Brisbane, Australia |
Editor |
Ayache, N.; Ourselin, S.; Maeder, A.J. |
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English |
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Lecture Notes in Computer Science |
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Series Volume  |
4792 |
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Notes |
PMID:18044584 |
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no |
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Call Number |
refbase @ admin @ |
Serial |
865 |
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Author |
Vercauteren, T.; Pennec, X.; Malis, E.; Perchant, A.; Ayache, N. |
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Title |
Insight into efficient image registration techniques and the demons algorithm |
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Conference Article |
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Year |
2007 |
Publication |
Proceedings of Information Processing in Medical Imaging (IPMI'07) |
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Volume |
20 |
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Pages |
495-506 |
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Keywords |
*Algorithms; Animals; Artificial Intelligence; Colon/*cytology; Humans; Image Enhancement/*methods; Image Interpretation, Computer-Assisted/*methods; Microscopy, Confocal/*methods; Pattern Recognition, Automated/*methods; Reproducibility of Results; Sensitivity and Specificity; *Subtraction Technique |
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Abstract |
As image registration becomes more and more central to many biomedical imaging applications, the efficiency of the algorithms becomes a key issue. Image registration is classically performed by optimizing a similarity criterion over a given spatial transformation space. Even if this problem is considered as almost solved for linear registration, we show in this paper that some tools that have recently been developed in the field of vision-based robot control can outperform classical solutions. The adequacy of these tools for linear image registration leads us to revisit non-linear registration and allows us to provide interesting theoretical roots to the different variants of Thirion's demons algorithm. This analysis predicts a theoretical advantage to the symmetric forces variant of the demons algorithm. We show that, on controlled experiments, this advantage is confirmed, and yields a faster convergence. |
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Address |
Asclepios Research Group, INRIA Sophia-Antipolis, France |
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Publisher |
Springer-Verlag |
Place of Publication |
Kerkrade, The Netherlands |
Editor |
Karssemeijer, N.; Lelieveldt, B.P.F. |
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Language |
English |
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Series Title |
Lecture Notes in Computer Science |
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Series Volume  |
4584 |
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ISSN |
1011-2499 |
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Conference |
Information Processing in Medical Imaging (IPMI'07) |
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Notes |
PMID:17633724 |
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no |
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Call Number |
refbase @ admin @ |
Serial |
864 |
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Permanent link to this record |