Results 31 to 40 of about 1,798,854 (353)

Variational image registration using inhomogeneous regularization [PDF]

open access: yes, 2014
We present a generalization of the convolution basedvariational image registration approach, in which differentregularizers can be implemented by conveniently exchangingthe convolution kernel, even if it is nonseparableor nonstationary.
Albrecht, Thomas   +4 more
core   +1 more source

TEASER: Fast and Certifiable Point Cloud Registration [PDF]

open access: yesIEEE Transactions on robotics, 2020
We propose the first fast and certifiable algorithm for the registration of two sets of three-dimensional (3-D) points in the presence of large amounts of outlier correspondences.
Heng Yang, J. Shi, L. Carlone
semanticscholar   +1 more source

A survey on deep learning in medical image registration: new technologies, uncertainty, evaluation metrics, and beyond [PDF]

open access: yesMedical Image Anal., 2023
Deep learning technologies have dramatically reshaped the field of medical image registration over the past decade. The initial developments, such as regression-based and U-Net-based networks, established the foundation for deep learning in image ...
Junyu Chen   +7 more
semanticscholar   +1 more source

A Reproducible Evaluation of ANTs Similarity Metric Performance in Brain Image Registration

open access: yesNeuroImage, 2010
The United States National Institutes of Health (NIH) commit significant support to open-source data and software resources in order to foment reproducibility in the biomedical imaging sciences.
B. Avants   +5 more
semanticscholar   +1 more source

Plane-based registration of construction laser scans with 3D/4D building models [PDF]

open access: yes, 2012
With the development of building information modelling (BIM) and terrestrial laser scanning (TLS) in the architecture, engineering, construction and facility management (AEC/FM) industry, the registration of site laser scans and project 3D (BIM) models ...
Bosché, Frédéric, Frédéric Bosché
core   +1 more source

Point Set Registration: Coherent Point Drift [PDF]

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2009
Point set registration is a key component in many computer vision tasks. The goal of point set registration is to assign correspondences between two sets of points and to recover the transformation that maps one point set to the other.
Andriy Myronenko, Xubo B. Song
semanticscholar   +1 more source

Linking the English Cancer Patient Experience Survey to Cancer registration: relating patient experience to outcomes, a step towards better services and outcomes

open access: yesInternational Journal of Population Data Science, 2017
Objectives To link the English Cancer Patient Experience Survey (CPES) to Public Health England’s cancer registration records and allow new exploration of the association between patient experience and outcomes and eventually improve service provision ...
Isabella Gomes Carneiro   +6 more
doaj   +1 more source

Spatio-temporal analysis of the incidence of colorectal cancer in Guangzhou, 2010–2014

open access: yesChinese Journal of Cancer, 2017
Introduction Colorectal cancer (CRC) is a common type of neoplasm. This study examined the spatio-temporal distribution of the CRC incidence in Guangzhou during 2010–2014.
Ke Li   +7 more
doaj   +1 more source

Deep Closest Point: Learning Representations for Point Cloud Registration [PDF]

open access: yesIEEE International Conference on Computer Vision, 2019
Point cloud registration is a key problem for computer vision applied to robotics, medical imaging, and other applications. This problem involves finding a rigid transformation from one point cloud into another so that they align. Iterative Closest Point
Yue Wang, J. Solomon
semanticscholar   +1 more source

Linking the Diagnostic Imaging Dataset (DID) to cancer registration data – improving understanding of diagnostic imaging in lung and ovarian cancer

open access: yesInternational Journal of Population Data Science, 2017
Objectives To link the Diagnostic Imaging Dataset (DID) to cancer registration records to allow investigation of imaging performed in patients diagnosed with cancer and its relation to patient pathways and outcomes for lung and ovarian cancer patients ...
Anna Fry   +7 more
doaj   +1 more source

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