Generalizations of Ripley’s K-function with Application to Space Curves

Jon Sporring*, Rasmus Waagepetersen, Stefan Sommer

*Kontaktforfatter

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

OriginalsprogEngelsk
TitelInformation Processing in Medical Imaging - 26th International Conference, IPMI 2019, Proceedings
RedaktørerSiqi Bao, Albert C.S. Chung, James C. Gee, Paul A. Yushkevich
Antal sider12
ForlagPhysica-Verlag
Publikationsdato1 jan. 2019
Sider731-742
ISBN (Trykt)9783030203504
DOI
StatusUdgivet - 1 jan. 2019
Begivenhed26th International Conference on Information Processing in Medical Imaging, IPMI 2019 - Hong Kong, Kina
Varighed: 2 jun. 20197 jun. 2019

Konference

Konference26th International Conference on Information Processing in Medical Imaging, IPMI 2019
LandKina
ByHong Kong
Periode02/06/201907/06/2019
NavnLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Vol/bind11492 LNCS
ISSN0302-9743

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Space Curve
Curve
Fiber
Intensity Function
Vesicles
Point Sets
Muscle
Patch
Moment
Generalization

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Sporring, J., Waagepetersen, R., & Sommer, S. (2019). Generalizations of Ripley’s K-function with Application to Space Curves. I S. Bao, A. C. S. Chung, J. C. Gee, & P. A. Yushkevich (red.), Information Processing in Medical Imaging - 26th International Conference, IPMI 2019, Proceedings (s. 731-742). Physica-Verlag. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind. 11492 LNCS https://doi.org/10.1007/978-3-030-20351-1_57
Sporring, Jon ; Waagepetersen, Rasmus ; Sommer, Stefan. / Generalizations of Ripley’s K-function with Application to Space Curves. Information Processing in Medical Imaging - 26th International Conference, IPMI 2019, Proceedings. red. / Siqi Bao ; Albert C.S. Chung ; James C. Gee ; Paul A. Yushkevich. Physica-Verlag, 2019. s. 731-742 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 11492 LNCS).
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title = "Generalizations of Ripley’s K-function with Application to Space Curves",
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author = "Jon Sporring and Rasmus Waagepetersen and Stefan Sommer",
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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
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Sporring, J, Waagepetersen, R & Sommer, S 2019, Generalizations of Ripley’s K-function with Application to Space Curves. i S Bao, ACS Chung, JC Gee & PA Yushkevich (red), Information Processing in Medical Imaging - 26th International Conference, IPMI 2019, Proceedings. Physica-Verlag, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), bind 11492 LNCS, s. 731-742, Hong Kong, Kina, 02/06/2019. https://doi.org/10.1007/978-3-030-20351-1_57

Generalizations of Ripley’s K-function with Application to Space Curves. / Sporring, Jon; Waagepetersen, Rasmus; Sommer, Stefan.

Information Processing in Medical Imaging - 26th International Conference, IPMI 2019, Proceedings. red. / Siqi Bao; Albert C.S. Chung; James C. Gee; Paul A. Yushkevich. Physica-Verlag, 2019. s. 731-742 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 11492 LNCS).

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

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KW - Descriptive statistics

KW - Point and curve processes

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Sporring J, Waagepetersen R, Sommer S. Generalizations of Ripley’s K-function with Application to Space Curves. I Bao S, Chung ACS, Gee JC, Yushkevich PA, red., Information Processing in Medical Imaging - 26th International Conference, IPMI 2019, Proceedings. Physica-Verlag. 2019. s. 731-742. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 11492 LNCS). https://doi.org/10.1007/978-3-030-20351-1_57