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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1924 1
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1933 1
1934 1
1945 1
1954 1
1956 1
1960 1
1961 1
1962 4
1967 1
1968 1
1969 1
1971 3
1972 2
1973 2
1975 2
1976 1
1977 1
1978 2
1979 3
1980 2
1981 1
1982 1
1983 1
1984 1
1986 4
1987 1
1988 1
1989 5
1990 4
1991 2
1992 5
1993 6
1994 6
1995 5
1996 5
1997 4
1998 4
1999 5
2000 13
2001 16
2002 22
2003 18
2004 24
2005 25
2006 34
2007 48
2008 58
2009 56
2010 72
2011 84
2012 73
2013 91
2014 101
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2023 125
2024 35

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1,624 results

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Page 1
Geodesic Models With Convexity Shape Prior.
Chen D, Mirebeau JM, Shu M, Tai X, Cohen LD. Chen D, et al. IEEE Trans Pattern Anal Mach Intell. 2023 Jul;45(7):8433-8452. doi: 10.1109/TPAMI.2022.3225192. Epub 2023 Jun 5. IEEE Trans Pattern Anal Mach Intell. 2023. PMID: 36441891 Free article.
Existing geodesic-based segmentation approaches usually exploit image features in conjunction with geometric regularization terms, such as euclidean curve length or curvature-penalized length, for computing geodesic curves. ...The convexity shape prior serves as a c …
Existing geodesic-based segmentation approaches usually exploit image features in conjunction with geometric regularization terms, su …
Geodesic-Based Bayesian Coherent Point Drift.
Hirose O. Hirose O. IEEE Trans Pattern Anal Mach Intell. 2023 May;45(5):5816-5832. doi: 10.1109/TPAMI.2022.3214191. Epub 2023 Apr 3. IEEE Trans Pattern Anal Mach Intell. 2023. PMID: 36227821
The key to solving the problem is to redefine the motion coherence using a geodesic, i.e., the shortest route between points on a shape's surface. ...
The key to solving the problem is to redefine the motion coherence using a geodesic, i.e., the shortest route between points on a sha …
Geodesic motion in Euclidean Schwarzschild geometry.
Battista E, Esposito G. Battista E, et al. Eur Phys J C Part Fields. 2022;82(12):1088. doi: 10.1140/epjc/s10052-022-11070-w. Epub 2022 Dec 2. Eur Phys J C Part Fields. 2022. PMID: 36474711 Free PMC article.
This paper performs a systematic investigation of geodesic motion in Euclidean Schwarzschild geometry, which is studied in the equatorial plane. The explicit form of geodesic motion is obtained in terms of incomplete elliptic integrals of first, second and third kin …
This paper performs a systematic investigation of geodesic motion in Euclidean Schwarzschild geometry, which is studied in the equato …
Geodesic Basis Function Neural Network.
Zhao Y, Si D, Pei J, Yang X. Zhao Y, et al. IEEE Trans Neural Netw Learn Syst. 2022 Dec 19;PP. doi: 10.1109/TNNLS.2022.3227296. Online ahead of print. IEEE Trans Neural Netw Learn Syst. 2022. PMID: 37015442
This leads to an inconsistency between the learning and recognition task. This article proposes a geodesic basis function neural network with subclass extension learning (GBFNN-ScE). The geodesic basis function (GBF), which is defined here for the first time, uses t …
This leads to an inconsistency between the learning and recognition task. This article proposes a geodesic basis function neural netw …
Double-layer geodesic and gradient-index lenses.
Chen Q, Horsley SAR, Fonseca NJG, Tyc T, Quevedo-Teruel O. Chen Q, et al. Nat Commun. 2022 Apr 29;13(1):2354. doi: 10.1038/s41467-022-29587-9. Nat Commun. 2022. PMID: 35487907 Free PMC article.
A double-layer lens consists of a first gradient-index/geodesic profile in an upper waveguide, partially surrounded by a mirror that reflects the wave into a lower guide where there is a second profile. Here, we derive a new family of rotational-symmetric inhomogeneous ind …
A double-layer lens consists of a first gradient-index/geodesic profile in an upper waveguide, partially surrounded by a mirror that …
Geodesic Distance on Optimally Regularized Functional Connectomes Uncovers Individual Fingerprints.
Abbas K, Liu M, Venkatesh M, Amico E, Kaplan AD, Ventresca M, Pessoa L, Harezlak J, Goñi J. Abbas K, et al. Brain Connect. 2021 Jun;11(5):333-348. doi: 10.1089/brain.2020.0881. Epub 2021 Mar 3. Brain Connect. 2021. PMID: 33470164 Free PMC article.
Computing geodesic distance requires FCs to be positive-definite and hence invertible matrices. ...Thus, an optimal regularization must be estimated on each data set to uncover the most differentiable across-subject and reproducible within-subject geodesic distances …
Computing geodesic distance requires FCs to be positive-definite and hence invertible matrices. ...Thus, an optimal regularization mu …
GEODESIC SINKHORN FOR FAST AND ACCURATE OPTIMAL TRANSPORT ON MANIFOLDS.
Huguet G, Tong A, Zapatero MR, Tape CJ, Wolf G, Krishnaswamy S. Huguet G, et al. ArXiv [Preprint]. 2023 Sep 26:arXiv:2211.00805v2. ArXiv. 2023. PMID: 37808090 Free PMC article. Preprint.
However, with the prevalence of manifold structured scientific data, it is often desirable to consider geodesic ground distance. Here, we tackle both issues by proposing Geodesic Sinkhorn-based on diffusing a heat kernel on a manifold graph. Notably, Geodesic …
However, with the prevalence of manifold structured scientific data, it is often desirable to consider geodesic ground distance. Here …
Geodesic Path Model for Indoor Propagation Loss Prediction of Narrowband Channels.
Kaya A, De Beelde B, Joseph W, Weyn M, Berkvens R. Kaya A, et al. Sensors (Basel). 2022 Jun 29;22(13):4903. doi: 10.3390/s22134903. Sensors (Basel). 2022. PMID: 35808400 Free PMC article.
However, finding geodesic paths from one distinct path-connected space to another is done through a systematic process of choosing space connector points and concatenating parts of the geodesic path. We developed an accompanying tool and present its algorithm which …
However, finding geodesic paths from one distinct path-connected space to another is done through a systematic process of choosing sp …
Geodesic theory of long association fibers arrangement in the human fetal cortex.
Horibe K, Taga G, Fujimoto K. Horibe K, et al. Cereb Cortex. 2023 Aug 23;33(17):9778-9786. doi: 10.1093/cercor/bhad243. Cereb Cortex. 2023. PMID: 37482884 Free PMC article.
The fiber length can be minimized if the tracts follow the shortest paths (geodesics) of the curved surface. Here, we propose and examine a theory that geodesics guide the tangential direction of long association fibers by analyzing how geodesics are spatiall …
The fiber length can be minimized if the tracts follow the shortest paths (geodesics) of the curved surface. Here, we propose and exa …
Geodesic density regression for correcting 4DCT pulmonary respiratory motion artifacts.
Shao W, Pan Y, Durumeric OC, Reinhardt JM, Bayouth JE, Rusu M, Christensen GE. Shao W, et al. Med Image Anal. 2021 Aug;72:102140. doi: 10.1016/j.media.2021.102140. Epub 2021 Jun 21. Med Image Anal. 2021. PMID: 34214957 Free PMC article.
Pulmonary respiratory motion artifacts are common in four-dimensional computed tomography (4DCT) of lungs and are caused by missing, duplicated, and misaligned image data. This paper presents a geodesic density regression (GDR) algorithm to correct motion artifacts in 4DCT …
Pulmonary respiratory motion artifacts are common in four-dimensional computed tomography (4DCT) of lungs and are caused by missing, duplica …
1,624 results

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