Search Results - "Jermyn, Ian H"

4D Atlas: Statistical Analysis of the Spatiotemporal Variability in Longitudinal 3D Shape Data by Laga, Hamid, Padilla, Marcel, Jermyn, Ian H., Kurtek, Sebastian, Bennamoun, Mohammed, Srivastava, Anuj

“…We propose a novel framework to learn the spatiotemporal variability in longitudinal 3D shape data sets, which contain observations of objects that evolve and…”
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Organ-specific genetic interactions between paralogues of the PXY and ER receptor kinases enforce radial patterning in Arabidopsis vascular tissue by Wang, Ning, Bagdassarian, Kristine S, Doherty, Rebecca E, Kroon, Johannes T, Connor, Katherine A, Wang, Xiao Y, Wang, Wei, Jermyn, Ian H, Turner, Simon R, Etchells, J Peter

“…In plants, cells do not migrate. Tissues are frequently arranged in concentric rings; thus, expansion of inner layers is coordinated with cell division and/or…”
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Numerical Inversion of SRNF Maps for Elastic Shape Analysis of Genus-Zero Surfaces by Laga, Hamid, Xie, Qian, Jermyn, Ian H., Srivastava, Anuj

“…Recent developments in elastic shape analysis (ESA) are motivated by the fact that it provides a comprehensive framework for simultaneous registration,…”
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Shape Analysis of Elastic Curves in Euclidean Spaces by Srivastava, A, Klassen, E, Joshi, S H, Jermyn, I H

“…This paper introduces a square-root velocity (SRV) representation for analyzing shapes of curves in euclidean spaces under an elastic metric. In this SRV…”
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Modality-Constrained Density Estimation via Deformable Templates by Dasgupta, Sutanoy, Pati, Debdeep, Jermyn, Ian H., Srivastava, Anuj

“…Estimation of a probability density function (pdf) from its samples, while satisfying certain shape constraints, is an important problem that lacks coverage in…”
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A Bayesian multi‐region radial composite reservoir model for deconvolution in well test analysis by Botsas, Themistoklis, Cumming, Jonathan A., Jermyn, Ian H.

“…In petroleum well test analysis, deconvolution is used to obtain information about reservoir systems, for example the presence of heterogeneities and…”
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Accurate Morphology Preserving Segmentation of Overlapping Cells based on Active Contours by Molnar, Csaba, Jermyn, Ian H., Kato, Zoltan, Rahkama, Vesa, Östling, Päivi, Mikkonen, Piia, Pietiäinen, Vilja, Horvath, Peter

“…The identification of fluorescently stained cell nuclei is the basis of cell detection, segmentation, and feature extraction in high content microscopy…”
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Higher Order Active Contours by Rochery, Marie, Jermyn, Ian H, Zerubia, Josiane

“…Issue Title: Special Issue: Variational Geometric and LS Methods (VLSM 2003) We introduce a new class of active contour models that hold great promise for…”
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Versatile method for quantifying and analyzing morphological differences in experimentally obtained images by Bagdassarian, Kristine S., Connor, Katherine A., Jermyn, Ian H, Etchells, J.Peter

“…Analyzing high-resolution images to gain insight into anatomical properties is an essential tool for investigation in many scientific fields. In plant biology,…”
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Looking for Shapes in Two-Dimensional Cluttered Point Clouds by Srivastava, A., Jermyn, I.H.

“…We study the problem of identifying shape classes in point clouds. These clouds contain sampled points along contours and are corrupted by clutter and…”
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Extended Phase Field Higher-Order Active Contour Models for Networks: Its Application to Road Network Extraction from VHR Satellite Images by Peng, Ting, Jermyn, Ian H., Prinet, Véronique, Zerubia, Josiane

“…This paper addresses the segmentation from an image of entities that have the form of a ‘network’, i.e . the region in the image corresponding to the entity is…”
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Guest Editors' Introduction to the Special Section on Shape Analysis and Its Applications in Image Understanding by Srivastava, Anuj, Damon, James N., Dryden, Ian L., Jermyn, Ian H.

“…The seven papers in this special section focus on shape analysis and its application in image understanding…”
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Invariant Bayesian Estimation on Manifolds by Jermyn, Ian H.

“…A frequent and well-founded criticism of the maximum a posteriori (MAP) and minimum mean squared error (MMSE) estimates of a continuous parameter γ taking…”
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A New Model for the Segmentation of Multiple, Overlapping, Near-Circular Objects by Molnar, Csaba, Kato, Zoltan, Jermyn, Ian H.

“…Some of the most difficult image segmentation problems involve an unknown number of object instances that can touch or overlap in the image, e.g. microscopy…”
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Gap closure in (road) networks using higher-order active contours by Rockery, M., Jermyn, I.H., Zerubia, J.

“…We present a new model for the extraction of networks from images in the presence of occlusions. Such occlusions cause gaps in the extracted network that need…”
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Globally optimal regions and boundaries as minimum ratio weight cycle by Jermyn, I H, Ishikawa, H

“…We describe a new form of energy functional for the modelling and identification of regions in images. The energy is defined on the space of boundaries in the…”
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Texture discrimination using multimodal wavelet packet subbands by Cossu, R., Jermyn, I.H., Zerubia, J.

“…The subband histograms of wavelet packet bases adapted to individual texture classes often fail to display the leptokurtotic behaviour shown by the standard…”
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A phase field higher-order active contour model of directed networks by El Ghoul, Aymen, Jermyn, Ian H, Zerubia, Josiane

“…The segmentation of directed networks is an important problem in many domains, e.g. medical imaging (vascular networks) and remote sensing (river networks)…”
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Inflection point phase field higher-order active contour model for network extraction from VHR satellite images by El Ghoul, Aymen, Jermyn, Ian H., Zerubia, Josiane

“…The segmentation of networks is important in several imaging domains, and models incorporating prior shape knowledge are often essential for the automatic…”
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Extended phase field higher-order active contour models for networks by Peng, T., Jermyn, I. H., Prinet, V., Zerubia, J.

“…This paper addresses the segmentation from an image of entities that have the form of a `network', \ie the region in the image corresponding to the entity is…”
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