Zobrazeno 1 - 10
of 72
pro vyhledávání: '"James R. Hopgood"'
Autor:
Qiang Wang, Susan Fernandes, Gareth O. S. Williams, Neil Finlayson, Ahsan R. Akram, Kevin Dhaliwal, James R. Hopgood, Marta Vallejo
Publikováno v:
Communications Biology, Vol 5, Iss 1, Pp 1-13 (2022)
Using unsupervised image-to-image synthesis, homography regression-based co-registration of fluorescence-histology images is improved and can be used on various image formats across full-spectral emission wavelengths.
Externí odkaz:
https://doaj.org/article/b24dfb20d33d4c10a0cf1a596915b6c0
Publikováno v:
IEEE Access, Vol 6, Pp 14188-14203 (2018)
Ultrasound contrast imaging (UCI) aims to detect flow changes in the vascular bed that can help differentiate normal from diseased tissues thus providing an early screening tool for diagnosis or treatment monitoring. Ultrasound contrast agents (UCAs)
Externí odkaz:
https://doaj.org/article/f4b7feba9d404a0e802a790d6b9cc263
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2011 (2011)
Externí odkaz:
https://doaj.org/article/3b3696f7a3ba4f2b809c826b31a39649
Publikováno v:
Sun, M, Davies, M E, Proudler, I & Hopgood, J R 2023, ' Adaptive Kernel Kalman Filter ', IEEE Transactions on Signal Processing, vol. 71, pp. 713-726 . https://doi.org/10.1109/TSP.2023.3250829
Sequential Bayesian filters in non-linear dynamic systems require the recursive estimation of the predictive and posterior distributions. This paper introduces a Bayesian filter called the adaptive kernel Kalman filter (AKKF). With this filter, the a
Autor:
Qiang Wang, James R. Hopgood, Susan Fernandes, Neil Finlayson, Gareth O. S. Williams, Ahsan R. Akram, Kevin Dhaliwal, Marta Vallejo
Publikováno v:
Wang, Q, Hopgood, J R, Fernandes, S, Finlayson, N, Williams, G, Akram, A R, Dhaliwal, K & Vallejo, M 2022, ' A Layer-Level Multi-Scale Architecture for Lung Cancer Classification with Fluorescence Lifetime Imaging Endomicroscopy ', Neural Computing and Applications, vol. 34, no. 21, pp. 18881-18894 . https://doi.org/10.1007/s00521-022-07481-1
In this paper, we introduce our unique dataset of fluorescence lifetime imaging endo/microscopy (FLIM), containing over 100,000 different FLIM images collected from 18 pairs of cancer/non-cancer human lung tissues of 18 patients by our custom fibre-b
Autor:
David Cormack, James R. Hopgood
Publikováno v:
Cormack, D & Hopgood, J 2021, ' Message Passing and Hierarchical Models for Simultaneous Tracking and Registration ', IEEE Transactions on Aerospace and Electronic Systems . https://doi.org/10.1109/TAES.2020.3046090
Sensor registration is an important problem that must be considered when attempting to perform any kind of data fusion in multimodal, multisensor target tracking. In this multiple target tracking (MTT) application, any inaccuracies in the registratio
Publikováno v:
Sun, M, Davies, M E, Proudler, I & Hopgood, J R 2022, ' Adaptive Kernel Kalman Filter based Belief Propagation Algorithm for Maneuvering Multi-target Tracking ', IEEE Signal Processing Letters, vol. 29, pp. 1452-1456 . https://doi.org/10.1109/LSP.2022.3184534
This letter incorporates the adaptive kernel Kalman filter (AKKF) into the belief propagation (BP) algorithm for Multi-target tracking (MTT) in single-sensor systems. The algorithm is capable of tracking an unknown and time-varying number of targets,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a446439e76adc17c3b9e7c1c61eaa33e
https://hdl.handle.net/20.500.11820/8dc2da5a-82ad-41fa-8f0d-fc4b6623123a
https://hdl.handle.net/20.500.11820/8dc2da5a-82ad-41fa-8f0d-fc4b6623123a
Publikováno v:
Vargas, E, Hopgood, J, Brown, K & Subr, K 2021, ' On Improved Training of CNN for Acoustic Source Localisation ', IEEE Transactions on Audio, Speech and Language Processing, vol. 29, pp. 720-732 . https://doi.org/10.1109/TASLP.2021.3049337
Convolutional Neural Networks (CNNs) are a popular choice for estimating Direction of Arrival (DoA) without explicitly estimating delays between multiple microphones. The CNN method first optimises unknown filter weights (of a CNN) by using observati
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems
IEEE Transactions on Aerospace and Electronic Systems, Institute of Electrical and Electronics Engineers, 2020, 56 (2), pp.1357-1369. ⟨10.1109/TAES.2019.2929974⟩
Cormack, D, Schlangen, I, Hopgood, J & Clark, D 2019, ' Joint Registration and Fusion of an Infra-Red Camera and Scanning Radar in a Maritime Context ', IEEE Transactions on Aerospace and Electronic Systems . https://doi.org/10.1109/TAES.2019.2929974
IEEE Transactions on Aerospace and Electronic Systems, Institute of Electrical and Electronics Engineers, 2020, 56 (2), pp.1357-1369. ⟨10.1109/TAES.2019.2929974⟩
Cormack, D, Schlangen, I, Hopgood, J & Clark, D 2019, ' Joint Registration and Fusion of an Infra-Red Camera and Scanning Radar in a Maritime Context ', IEEE Transactions on Aerospace and Electronic Systems . https://doi.org/10.1109/TAES.2019.2929974
International audience; The number of nodes in sensor networks is continually increasing, and maintaining accurate track estimates inside their common surveillance region is a critical necessity. Modern sensor platforms are likely to carry a range of
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2021
Multi-scale architectures at a granular level are characterised by separating input features into groups and applying multi-scale feature extractions to the split input features, and thus the correlations among the input features as global informatio