Dosimetric accuracy of the Convolution algorithm for Leksell Gamma Plan radiosurgery treatment planning: Evaluation in the presence of clinically relevant inhomogeneities
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Applied Clinical Medical Physics"
DOI: 10.1002/acm2.13903
Abstract: Abstract Purpose The Leksell Gamma Plan Convolution algorithm (LGP‐Convolution) has not been widely adopted. This mainly stems from the higher calculated beam‐on times relative to the standard ray tracing‐based LGP‐TMR10 dose calculation algorithm. This study… read more here.
Keywords: convolution; lgp convolution; treatment planning; gamma ... See more keywords
Modeling Complex Pharmacokinetics of Long‐Acting Injectable Products Using Convolution‐Based Models With Nonparametric Input Functions
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Clinical Pharmacology"
DOI: 10.1002/jcph.1842
Abstract: The interest in the development and the therapeutic use of long‐acting injectable (LAI) products for chronic or long‐term treatments has grown exponentially. The complexity and the multiphase drug release process represent serious issues for an… read more here.
Keywords: long acting; convolution based; lai products; convolution ... See more keywords
Convolution theorem for fractional cosine-sine transform and its application
Sign Up to like & getrecommendations! Published in 2017 at "Mathematical Methods in The Applied Sciences"
DOI: 10.1002/mma.4251
Abstract: Fractional cosine transform (FRCT) and fractional sine transform (FRST), which are closely related to the fractional Fourier transform (FRFT), are useful mathematical and optical tool for signal processing. Many properties for these transforms are well… read more here.
Keywords: convolution; fractional cosine; sine transform; transform ... See more keywords
Decoupling Convolution Network for Characterizing the Metastatic Lymph Nodes of Breast Cancer Patients.
Sign Up to like & getrecommendations! Published in 2021 at "Medical physics"
DOI: 10.1002/mp.14876
Abstract: PURPOSE The dual-energy computed tomography (DECT) technique is an emerging imaging tool that can better characterize material features and has the potential to be a noninvasive means of predicting lymph node metastasis. The purpose of… read more here.
Keywords: network; lymph; breast cancer; convolution ... See more keywords
General Steerable Two-sided Clifford Fourier Transform, Convolution and Mustard Convolution
Sign Up to like & getrecommendations! Published in 2017 at "Advances in Applied Clifford Algebras"
DOI: 10.1007/s00006-016-0687-5
Abstract: In this paper we use the general steerable two-sided Clifford Fourier transform (CFT), and relate the classical convolution of Clifford algebra-valued signals over $${\mathbb{R}^{p,q}}$$Rp,q with the (equally steerable) Mustard convolution. A Mustard convolution can be… read more here.
Keywords: mustard convolution; convolution; clifford; general steerable ... See more keywords
Efficient Architecture for Block Parallel Convolution using Two-Dimensional Polyphase Decomposition
Sign Up to like & getrecommendations! Published in 2022 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-021-01811-9
Abstract: Ultra-high-definition (UHD) video standards demand processing speed from 60 to 120 fps. These standards require relatively huge resources for providing such high processing speed. In this paper, an area-efficient and high-speed two-dimensional (2D) $$2\times 2$$ 2… read more here.
Keywords: parallel convolution; convolution; times bpsrc; two dimensional ... See more keywords
Existence of Extremizers for a Model Convolution Operator
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Fourier Analysis and Applications"
DOI: 10.1007/s00041-019-09677-x
Abstract: The operator T, defined by convolution with the affine arc length measure on the moment curve parametrized by $$h(t)=(t,t^{2},\ldots ,t^{d})$$h(t)=(t,t2,…,td) is a bounded operator from $$L^{p}$$Lp to $$L^{q}$$Lq if $$(\frac{1}{p}, \frac{1}{q})$$(1p,1q) lies on a line… read more here.
Keywords: existence extremizers; convolution operator; extremizers model; convolution ... See more keywords
Finiteness spaces, étale groupoids and their convolution algebras
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DOI: 10.1007/s00233-020-10096-4
Abstract: Given a ring R , we extend Ehrhard’s linearization process by associating to any pre-finiteness space an R -module endowed with a Lefschetz topology. For a semigroup in the category of pre-finiteness spaces, one can… read more here.
Keywords: tale groupoids; finiteness spaces; groupoids convolution; convolution ... See more keywords
Convolution algebra for extended Feller convolution
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DOI: 10.1007/s00233-020-10145-y
Abstract: We apply the recently introduced framework of admissible homomorphisms in the form of a convolution algebra of $$\mathbb{C}^2$$ C 2 -valued admissible homomorphisms to handle two-dimensional uni-directional homogeneous stochastic kernels. The algebra product is a… read more here.
Keywords: feller convolution; convolution algebra; convolution; admissible homomorphisms ... See more keywords
cuConv: CUDA implementation of convolution for CNN inference
Sign Up to like & getrecommendations! Published in 2022 at "Cluster Computing"
DOI: 10.1007/s10586-021-03494-y
Abstract: Convolutions are the core operation of deep learning applications based on Convolutional Neural Networks (CNNs). Current GPU architectures are highly efficient for training and deploying deep CNNs, and are largely used in production. State–of–the–art implementations,… read more here.
Keywords: implementation; implementation convolution; cnn inference; convolution ... See more keywords
Asymptotics of convolution with the semi-regular-variation tail and its application to risk
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DOI: 10.1007/s10687-018-0326-8
Abstract: In this paper, according to a certain criterion, we divide the exponential distribution class into some subclasses. One of them is closely related to the regular-variation-tailed distribution class, and is called the semi-regular-variation-tailed distribution class.… read more here.
Keywords: semi regular; class; regular variation; convolution ... See more keywords