Results 241 to 250 of about 5,818,471 (412)
Abstract Purpose This study aims to develop a CycleGAN based denoising model to enhance the quality of low‐dose PET (LDPET) images, making them as close as possible to standard‐dose PET (SDPET) images. Methods Using a Philips Vereos PET/CT system, whole‐body PET images of fluorine‐18 fluorodeoxyglucose (18F‐FDG) were acquired from 37 patients to ...
Yang Liu, ZhiWu Sun, HaoJia Liu
wiley +1 more source
Evaluation of DEC`s GIGAswitch for distributed parallel computing
H. Chen, J. Hutchins, Jim Brandt
openalex +2 more sources
A linear-time algorithm for computing the memory access sequence in data-parallel programs [PDF]
Ken Kennedy+2 more
openalex +1 more source
A Robust Parallel Computing Data Extraction Framework for Nanopore Experiments. [PDF]
Bandara YMNDY+5 more
europepmc +1 more source
Diagnostic Accuracy of a Novel On-site Virtual Fractional Flow Reserve Parallel Computing System. [PDF]
Park HB+11 more
europepmc +1 more source
Abstract Purpose/objective We propose a novel lattice deployment for spatially fractionated radiotherapy (SFRT) treatments. In this approach, a larger diameter high‐dose sphere is centrally placed in the bulky tumor mass and surrounded by smaller diameter high‐dose spheres.
Joshua Misa+2 more
wiley +1 more source
Optimization algorithm of association rule mining for heavy-haul railway freight train fault data based on distributed parallel computing. [PDF]
Bai Y+5 more
europepmc +1 more source
Abstract Purpose Stereotactic radiotherapy (SRT) is a highly effective treatment with precision for small, localized lesions. Proton therapy, characterized by the Bragg peak, offers superior dose conformity compared to photon‐based approaches. However, challenges remain in minimizing lateral penumbra and optimizing dose delivery, particularly for small
Chen‐Yu Chou+3 more
wiley +1 more source
An acceleration method for computing the generalized eigenvalue problem on a parallel computer
Wen‐Wei Lin, C.W. Chen
openalex +1 more source
Sequencing technologies and hardware-accelerated parallel computing transform computational genomics research. [PDF]
Olbrich M, Bartels L, Wohlers I.
europepmc +1 more source