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Structured prior distributions for the covariance matrix in latent factor models (2024)
Journal Article
Heaps, S. E., & Jermyn, I. H. (2024). Structured prior distributions for the covariance matrix in latent factor models. Statistics and Computing, 34(4), Article 143. https://doi.org/10.1007/s11222-024-10454-0

Factor models are widely used for dimension reduction in the analysis of multivariate data. This is achieved through decomposition of a p×p covariance matrix into the sum of two components. Through a latent factor representation, they can be interpre... Read More about Structured prior distributions for the covariance matrix in latent factor models.

A Bayesian multi-region radial composite reservoir model for deconvolution in well test analysis (2022)
Journal Article
Botsas, T., Cumming, J., & Jermyn, I. (2022). A Bayesian multi-region radial composite reservoir model for deconvolution in well test analysis. Journal of the Royal Statistical Society: Series C, 71(4), 951-968. https://doi.org/10.1111/rssc.12562

In petroleum well test analysis, deconvolution is used to obtain information about the reservoir system. This information is contained in the response function, which can be estimated by solving an inverse problem in the pressure and flow rate measur... Read More about A Bayesian multi-region radial composite reservoir model for deconvolution in well test analysis.

Modality-Constrained Density Estimation via Deformable Templates (2021)
Journal Article
Dasgupta, S., Pati, D., Jermyn, I. H., & Srivastava, A. (2021). Modality-Constrained Density Estimation via Deformable Templates. Technometrics, 63(4), 536-547. https://doi.org/10.1080/00401706.2020.1867647

Estimation of a probability density function (pdf) from its samples, while satisfying certain shape constraints, is an important problem that lacks coverage in the literature. This article introduces a novel geometric, deformable template constrained... Read More about Modality-Constrained Density Estimation via Deformable Templates.

Versatile method for quantifying and analyzing morphological differences in experimentally obtained images (2019)
Journal Article
Bagdassarian, K., Connor, K., Jermyn, I., & Etchells, J. (2020). Versatile method for quantifying and analyzing morphological differences in experimentally obtained images. Plant Signaling & Behavior, 15(1), Article 1693092. https://doi.org/10.1080/15592324.2019.1693092

Analyzing high-resolution images to gain insight into anatomical properties is an essential tool for investigation in many scientific fields. In plant biology, studying plant phenotypes from micrographs is often used to build hypotheses on gene funct... Read More about Versatile method for quantifying and analyzing morphological differences in experimentally obtained images.

Organ-specific genetic interactions between paralogues of the PXY and ER receptor kinases enforce radial patterning in Arabidopsis vascular tissue (2019)
Journal Article
Wang, N., Bagdassarian, K., Doherty, R., Kroon, J., Connor, K., Wang, X., Wang, W., Jermyn, I., Turner, S., & Etchells, J. (2019). Organ-specific genetic interactions between paralogues of the PXY and ER receptor kinases enforce radial patterning in Arabidopsis vascular tissue. Development, 146(10), Article 177105. https://doi.org/10.1242/dev.177105

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 expansion of cells in outer layers. In Arabidopsis stems, receptor kinases, PXY and ER, gene... Read More about Organ-specific genetic interactions between paralogues of the PXY and ER receptor kinases enforce radial patterning in Arabidopsis vascular tissue.

Paralogues of the PXY and ER receptor kinases enforce radial patterning in plant vascular tissue (2018)
Journal Article
Wang, N., Bagdassarian, K. S., Doherty, R. E., Wang, X. Y., Kroon, J. T., Wang, W., Jermyn, I. H., Turner, S. R., & Etchells, J. P. Paralogues of the PXY and ER receptor kinases enforce radial patterning in plant vascular tissue. https://doi.org/10.1101/357244. Manuscript submitted for publication

Plant cell walls do not allow cells to migrate, thus plant growth and development is entirely the consequence of changes to cell division and cell elongation. Where tissues are arranged in concentric rings, expansion of inner tissue, such as that whi... Read More about Paralogues of the PXY and ER receptor kinases enforce radial patterning in plant vascular tissue.

Numerical Inversion of SRNF Maps for Elastic Shape Analysis of Genus-Zero Surfaces (2017)
Journal Article
Laga, H., Xie, Q., Jermyn, I. H., & Srivastava, A. (2017). Numerical Inversion of SRNF Maps for Elastic Shape Analysis of Genus-Zero Surfaces. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(12), 2451-2464. https://doi.org/10.1109/tpami.2016.2647596

Recent developments in elastic shape analysis (ESA) are motivated by the fact that it provides a comprehensive framework for simultaneous registration, deformation, and comparison of shapes. These methods achieve computational efficiency using certai... Read More about Numerical Inversion of SRNF Maps for Elastic Shape Analysis of Genus-Zero Surfaces.

Accurate Morphology Preserving Segmentation of Overlapping Cells based on Active Contours (2016)
Journal Article
Molnar, C., Jermyn, I. H., Kato, Z., Rahkama, V., Östling, P., Mikkonen, P., …Horvath, P. (2016). Accurate Morphology Preserving Segmentation of Overlapping Cells based on Active Contours. Scientific Reports, 6, Article 32412. https://doi.org/10.1038/srep32412

The identification of fluorescently stained cell nuclei is the basis of cell detection, segmentation, and feature extraction in high content microscopy experiments. The nuclear morphology of single cells is also one of the essential indicators of phe... Read More about Accurate Morphology Preserving Segmentation of Overlapping Cells based on Active Contours.

Shape analysis of elastic curves in Euclidean spaces (2011)
Journal Article
Srivastava, A., Klassen, E., Joshi, S., & Jermyn, I. (2011). Shape analysis of elastic curves in Euclidean spaces. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33(7), 1415-1428. https://doi.org/10.1109/tpami.2010.184

This paper introduces a square-root velocity (SRV) representation for analyzing shapes of curves in euclidean spaces under an elastic metric. In this SRV representation, the elastic metric simplifies to the IL2 metric, the reparameterization group ac... Read More about Shape analysis of elastic curves in Euclidean spaces.

A marked point process model including strong prior shape information applied to multiple object extraction from images (2011)
Journal Article
Kulikova, M., Jermyn, I., Descombes, X., Zhizhina, E., & Zerubia, J. (2011). A marked point process model including strong prior shape information applied to multiple object extraction from images. International Journal of Computer Vision and Image Processing, 1(2), 1-12. https://doi.org/10.4018/ijcvip.2011040101

Object extraction from images is one of the most important tasks in remote sensing image analysis. For accurate extraction from very high resolution (VHR) images, object geometry needs to be taken into account. A method for incorporating strong yet f... Read More about A marked point process model including strong prior shape information applied to multiple object extraction from images.

Extended phase field higher-order active contour models for networks (2010)
Journal Article
Peng, T., Jermyn, I., Prinet, V., & Zerubia, J. (2010). Extended phase field higher-order active contour models for networks. International Journal of Computer Vision, 88(1), 111-128. https://doi.org/10.1007/s11263-009-0304-3

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 composed of branches joining together at junctions, e.g. road or vascular networks. We pres... Read More about Extended phase field higher-order active contour models for networks.

Looking for shapes in two-dimensional, cluttered point clouds (2009)
Journal Article
Srivastava, A., & Jermyn, I. (2009). Looking for shapes in two-dimensional, cluttered point clouds. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(9), 1616-1629. https://doi.org/10.1109/tpami.2008.223

We study the problem of identifying shape classes in point clouds. These clouds contain sampled points along contours and are corrupted by clutter and observation noise. Taking an analysis-by-synthesis approach, we simulate high-probability configura... Read More about Looking for shapes in two-dimensional, cluttered point clouds.

A higher-order active contour model of a `gas of circles' and its application to tree crown extraction (2009)
Journal Article
Horváth, P., Jermyn, I., Kato, Z., & Zerubia, J. (2009). A higher-order active contour model of a `gas of circles' and its application to tree crown extraction. Pattern Recognition, 42(5), 699-709. https://doi.org/10.1016/j.patcog.2008.09.008

We present a model of a ‘gas of circles’: regions in the image domain composed of a unknown number of circles of approximately the same radius. The model has applications to medical, biological, nanotechnological, and remote sensing imaging. The mode... Read More about A higher-order active contour model of a `gas of circles' and its application to tree crown extraction.

Incorporating generic and specific prior knowledge in a multiscale phase field model for road extraction from VHR images (2008)
Journal Article
Peng, T., Jermyn, I., Prinet, V., & Zerubia, J. (2008). Incorporating generic and specific prior knowledge in a multiscale phase field model for road extraction from VHR images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 1(2), 139-146. https://doi.org/10.1109/jstars.2008.922318

This paper addresses the problem of updating digital road maps in dense urban areas by extracting the main road network from very high resolution (VHR) satellite images. Building on the work of Rochery et al. (2005), we represent the road region as a... Read More about Incorporating generic and specific prior knowledge in a multiscale phase field model for road extraction from VHR images.

Higher-order active contour energies for gap closure (2007)
Journal Article
Rochery, M., Jermyn, I., & Zerubia, J. (2007). Higher-order active contour energies for gap closure. Journal of Mathematical Imaging and Vision, 29(1), 1-20. https://doi.org/10.1007/s10851-007-0021-x

One of the main difficulties in extracting line networks from images, and in particular road networks from remote sensing images, is the existence of interruptions in the data caused, for example, by occlusions. These can lead to gaps in the extracte... Read More about Higher-order active contour energies for gap closure.

Computing Statistics from Man-Made Structures on the Earth's Surface for Indexing Satellite Images (2007)
Journal Article
Bhattacharya, A., Roux, M., Maitre, H., Jermyn, I., Descombes, X., & Zerubia, J. (2007). Computing Statistics from Man-Made Structures on the Earth's Surface for Indexing Satellite Images. International journal of simulation modelling, 6(2), 73-83

Indexing and retrieval from remote sensing image databases relies on the extraction of appropriate information from the data about the entity of interest (e.g. land cover type) and on the robustness of this extraction to nuisance variables. Other ent... Read More about Computing Statistics from Man-Made Structures on the Earth's Surface for Indexing Satellite Images.

Higher-order active contours (2006)
Journal Article
Rochery, M., Jermyn, I., & Zerubia, J. (2006). Higher-order active contours. International Journal of Computer Vision, 69(1), 27-42. https://doi.org/10.1007/s11263-006-6851-y

We introduce a new class of active contour models that hold great promise for region and shape modelling, and we apply a special case of these models to the extraction of road networks from satellite and aerial imagery. The new models are arbitrary p... Read More about Higher-order active contours.

A study of Gaussian mixture models of color and texture features for image classification and segmentation (2006)
Journal Article
Permuter, H., Francos, J., & Jermyn, I. (2006). A study of Gaussian mixture models of color and texture features for image classification and segmentation. Pattern Recognition, 39(4), 695-706. https://doi.org/10.1016/j.patcog.2005.10.028

The aims of this paper are two-fold: to define Gaussian mixture models (GMMs) of colored texture on several feature spaces and to compare the performance of these models in various classification tasks, both with each other and with other models popu... Read More about A study of Gaussian mixture models of color and texture features for image classification and segmentation.

Invariant Bayesian Estimation on Manifolds (2005)
Journal Article
Jermyn, I. (2005). Invariant Bayesian Estimation on Manifolds. Annals of Statistics, 33(2), 583-605. https://doi.org/10.1214/009053604000001273

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 values in a differentiable manifold Γ is that they are not invariant to arbitrary “reparameteri... Read More about Invariant Bayesian Estimation on Manifolds.