Results 41 to 50 of about 3,493,044 (354)
Image quality improvement in low‐dose chest CT with deep learning image reconstruction
Abstract Objectives To investigate the clinical utility of deep learning image reconstruction (DLIR) for improving image quality in low‐dose chest CT in comparison with 40% adaptive statistical iterative reconstruction‐Veo (ASiR‐V40%) algorithm. Methods This retrospective study included 86 patients who underwent low‐dose CT for lung cancer screening ...
Qian Tian+7 more
wiley +1 more source
Parameter Space Factorization for Zero-Shot Learning across Tasks and Languages
Most combinations of NLP tasks and language varieties lack in-domain examples for supervised training because of the paucity of annotated data. How can neural models make sample-efficient generalizations from task–language combinations with available ...
Edoardo M. Ponti+5 more
doaj +1 more source
One-parameter supersymmetric Hamiltonians in momentum space [PDF]
Recent results on the one-parameter supersymmetric deformation in momentum space by Curtright and Zachos (2014 J. Phys. A: Math. and Theor. 47 145201; arXiv:1311.6147v2) are presented in a more general framework following our own papers.
Chen, Pisin+2 more
core +3 more sources
Abstract Purpose To assess whether the joint application of hybrid iterative reconstruction (HIR) and an adaptive filter (AF) could reduce streak artifacts and improve image quality of neck‐and‐shoulder computed tomography (CT). Methods This study included 96 patients with suspicious neck lesions who underwent a routine nonenhanced scan on a 64‐slice ...
Wenfeng Jin+6 more
wiley +1 more source
Parameter space in Galileon gravity models [PDF]
21 pages, 7 figures and 2 tables v2. Presentational changes in some figures. References added.
Barreira A+4 more
openaire +4 more sources
Impact of flexible noise control (FNC) image processing parameters on portable chest radiography
Abstract There is a lack of understanding in the performance of flexible noise control (FNC) processing, which is used in digital radiography on a scanner vendor and has four parameters each involving multiple options. The aim of this study was to investigate the impact of FNC on portable chest imaging. An anthropomorphic chest phantom was imaged using
Krystal M. Kirby+6 more
wiley +1 more source
Derivation of Robust Stability Ranges for Disconnected Region with Multiple Parameters
The aim of this paper is to give an extension of the paper [T. Matsuda et al. Proc. 33rd IASTED Modelling, Identification and Control, 809-004, 2014], which gives a robust stability condition for a system with disconnected stability regions.
Tadasuke Matsuda
doaj +1 more source
Abstract This study aimed to evaluate the clinical beam commissioning results and lateral penumbra characteristics of our new pencil beam scanning (PBS) proton therapy using a multi‐leaf collimator (MLC) calculated by use of a commercial Monte Carlo dose engine.
Yuki Tominaga+5 more
wiley +1 more source
Parity-time symmetry in parameter space of polarization
Establishing parity-time (PT) symmetry in non-spatial space is a promising way to simplify the PT-symmetry system structure. In this paper, an implementation of PT symmetry in optical polarization space is reported.
Qi Ding+9 more
doaj +1 more source
Exceptional cones in 4D parameter space [PDF]
The notion of synthetic dimensions has expanded the realm of topological physics to four dimensional (4D) space lately. In this work, non-Hermiticity is used as a synthetic parameter in PT-symmetric photonic crystals to study the topological physics in 4D non-Hermitian synthetic parameter space. We realize a 3D exceptional hypersurface (EHS) in such 4D
Qiang Wang+4 more
openaire +5 more sources