Zobrazeno 1 - 10
of 11 469
pro vyhledávání: '"OLIVER, D."'
Autor:
Webber, George, Mizuno, Yuya, Howes, Oliver D., Hammers, Alexander, King, Andrew P., Reader, Andrew J.
Medical image reconstruction with pre-trained score-based generative models (SGMs) has advantages over other existing state-of-the-art deep-learned reconstruction methods, including improved resilience to different scanner setups and advanced image d
Externí odkaz:
http://arxiv.org/abs/2412.04339
Autor:
Webber, George, Mizuno, Yuya, Howes, Oliver D., Hammers, Alexander, King, Andrew P., Reader, Andrew J.
Large high-quality medical image datasets are difficult to acquire but necessary for many deep learning applications. For positron emission tomography (PET), reconstructed image quality is limited by inherent Poisson noise. We propose a novel method
Externí odkaz:
http://arxiv.org/abs/2412.04324
Autor:
Webber, George, Mizuno, Yuya, Howes, Oliver D., Hammers, Alexander, King, Andrew P., Reader, Andrew J.
Score-based generative models (SGMs) have recently shown promising results for image reconstruction on simulated positron emission tomography (PET) datasets. In this work we have developed and implemented practical methodology for 3D image reconstruc
Externí odkaz:
http://arxiv.org/abs/2412.04319
Autor:
Jiao, Yuechun, Hughes, Oliver D. W., Festenstein, Max Z., Bai, Zhengyang, Zhao, Jianming, Li, Weibin, Weatherill, Kevin J., Adams, C. Stuart
We report on the coherent creation, control and read-out of a single photonic qutrit in a Rydberg ensemble. In each measurement, an optical photon is stored as a Rydberg polariton through electromagnetically induced transparency. Employing two microw
Externí odkaz:
http://arxiv.org/abs/2412.03060
Autor:
Poul, Daria, Samal, Ankita, Betancourt, Amanda Rodriguez, Quesada, Carole, Chan, Hsun-Liang, Kripfgans, Oliver D.
Periodontal diseases, reportedly affect 4 out of 10 adults in the USA. The standard of care for clinical assessments of these diseases is invasive, subjective and semi-qualitative. Thus, research on proposing alternate noninvasive modalities for clin
Externí odkaz:
http://arxiv.org/abs/2409.14314
This paper treats nonlinear wave current interactions in their simplest form, as an overtaking collision. In one spatial dimension, the paper investigates the collision interaction formulated as an initial value problem of a Burgers bore overtaking s
Externí odkaz:
http://arxiv.org/abs/2405.08130
Autor:
Poul, Daria, Samal, Ankita, Betancourt, Amanda Rodriguez, Quesada, Carole, Chan, Hsun-Liang, Kripfgans, Oliver D.
Periodontal diseases affect 45.9\% of adults aged 30 or older in the United States. Current diagnostic methods for clinical assessment of these diseases are visual examination and bleeding on probing that are subjective, qualitative, and/or invasive.
Externí odkaz:
http://arxiv.org/abs/2404.12896
We derive new models of stochastic Hall magnetohydrodynamics (MHD) by using a symmetry-reduced stochastic Euler-Poincar\'e variational principle. The new stochastic Hall MHD theory has potential applications for uncertainty quantification and data as
Externí odkaz:
http://arxiv.org/abs/2404.06528
The present work investigates the evolution of linear perturbations of time-dependent ideal fluid flows with advected quantities, expressed in terms of the second order variations of the action corresponding to a Lagrangian defined on a semidirect pr
Externí odkaz:
http://arxiv.org/abs/2402.10040
Neuromorphic processors improve the efficiency of machine learning algorithms through the implementation of physical artificial neurons to perform computations. However, whilst efficient classical neuromorphic processors have been demonstrated in var
Externí odkaz:
http://arxiv.org/abs/2402.06339