Results 61 to 70 of about 43,839 (225)

Diffusion model‐regularized implicit neural representation for computed tomography metal artifact reduction

Quantitative Biology, Volume 14, Issue 2, June 2026.
Abstract Computed tomography (CT) images are often severely corrupted by artifacts in the presence of metals. Existing supervised metal artifact reduction (MAR) approaches suffer from performance instability on known data due to their reliance on limited paired metal‐clean data, which limits their clinical applicability. Moreover, existing unsupervised
Jie Wen, Chenhe Du, Xiao Wang, Yuyao Zhang   +3 more
wiley   +1 more source

Critical Review for One‐Class Classification: Recent Advances and Reality Behind Them

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 1, March 2026.
This review presents a new taxonomy to summarize one‐class classification (OCC) algorithms and their applications. The main argument is that OCC should not learn multiple classes. The paper highlights common violations of OCC involving multiple classes.
Toshitaka Hayashi, Dalibor Cimr, Hamido Fujita, Richard Cimler   +3 more
wiley   +1 more source

DIAGNOSTIC OF THE COMBUSTION PROCESS USING THE ANALYSIS OF CHANGES IN FLAME LUMINOSITY

Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, 2019
Monitoring of the combustion process is carried out in order to ensure its efficiency and stability. Selected aspects of the combustion process diagnostics using the analysis of changes in flame luminosity for two configurations: 100% pulverized coal ...
Żaklin Grądz, Joanna Styczeń
doaj   +1 more source

Reducing low‐dose exposure in helical TomoTherapy for locally advanced left‐sided breast cancer with a deformable image registration–based dose‐mimicking workflow

Journal of Applied Clinical Medical Physics, Volume 27, Issue 2, February 2026.
Abstract Background Helical TomoTherapy provides highly conformal dose distributions for breast irradiation but is limited by extensive low‐dose spillage (“low‐dose bath”), contributing to increased integral dose and potential long‐term toxicities. Complete blocks can suppress low‐dose spread, but at the cost of prolonged treatment times on legacy ...
Chih‐Chieh Chang, Jo‐Ting Tsai, Shih‐Ming Hsu   +2 more
wiley   +1 more source

Traditional Chinese Medicine Modernization in Diagnosis and Treatment: Utilizing Artificial Intelligence and Nanotechnology

MedComm, Volume 7, Issue 2, February 2026.
Traditional Chinese medicine (TCM) faces great challenges during the development of modern medicine. Utilizing novel technologies such as artificial intelligence (AI) and nanotechnology facilitates TCM with great potential in precision diagnosis and improved treatments efficacy.
Wenqi Yu, Mengzhen Chen, Xueqi Tan, Xi Wei, Fan Sun, Hua Yan, Xue Xu, Hongcai Shang   +7 more
wiley   +1 more source

On multiresolution analysis of multiplicityd

Monatshefte für Mathematik, 1997
A multiresolution analysis (MRA) of multiplicity \(d\) of \(L^2({\mathbb{R}}^n)\) is a generalization of the usual MRA, where the sample spaces are generated by a refinable vector of \(d\) functions. The paper is concerned with the multivariate case, where the dilation matrix is \(2I\).
DE MICHELE, LEONEDE, SOARDI, PAOLO MAURIZIO   +1 more
openaire   +3 more sources

Advancing whole‐brain BOLD functional MRI in humans at 10.5 T with motion‐robust 3D echo‐planar imaging, parallel transmission, and high‐density radiofrequency receive coils

Magnetic Resonance in Medicine, Volume 95, Issue 2, Page 1068-1088, February 2026.
Abstract Purpose To demonstrate the feasibility and performance of whole‐brain blood oxygen level–dependent functional MRI (fMRI) in humans at 10.5 T by combining motion‐robust three‐dimensional gradient‐echo echo‐planar imaging, parallel transmission, and high‐density radiofrequency (RF) receive coils.
Shuxian Qu, Jiaen Liu, Peter van Gelderen, Jacco A. de Zwart, Jeff H. Duyn, Matt Waks, Russell Lagore, Alexander Bratch, Andrea Grant, Edward Auerbach, Lance Delabarre, Alireza Sadeghi‐Tarakameh, Yigitcan Eryaman, Gregor Adriany, Kamil Ugurbil, Xiaoping Wu   +15 more
wiley   +1 more source

Electrostatic Similarity Determination Using Multiresolution Analysis

Molecular Informatics, 2011
AbstractMolecular similarity is an important tool in protein and drug design for analyzing the quantitative relationships between physicochemical properties of two molecules. We present a family of similarity measures which exploits the ability of wavelet transformation to analyze the spectral components of physicochemical properties and suggests a ...
Hakkoymaz, H., Kieslich, C.A., Gorham Jr., R.D., Gunopulos, D., Morikis, D.   +4 more
openaire   +3 more sources

Automatic Adaptive and Targeted Localized Refinement in Transient Structural Dynamic Simulations Using the Multiresolution Finite Wavelet Domain Method

International Journal for Numerical Methods in Engineering, Volume 127, Issue 1, 15 January 2026.
ABSTRACT The multiresolution finite wavelet domain method has been meticulously studied in numerous wave propagation simulations, showing excellent convergence properties and very fast computing times. The multiresolution procedure always starts with the coarse solution, and then finer solutions can be superimposed on the coarse solution until ...
Dimitris Dimitriou, Katerina Samara, Dimitris Saravanos   +2 more
wiley   +1 more source

Discrete Wavelets and Multiresolution Analysis [PDF]

, 1993
Summary: In this paper we present an elementary discussion of the discrete wavelet transform. A major problem is formed by the construction of an orthonormal wavelet basis of the Hilbert space of square integrable functions. It is shown that the concept of a multiresolution analysis is very helpful to make such a construction.
openaire   +2 more sources