Results 61 to 70 of about 11,051,325 (215)

p‐Brain: A Modular Open‐Source Framework for Automated Quantitative DCE‐MRI of Cerebral Perfusion, Microvasculature, and Blood–Brain Barrier Permeability

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT We present p‐Brain, a modular, open‐source framework for reproducible, automated quantitative DCE‐MRI at scale. Rather than a fixed pipeline, p‐Brain is built from interchangeable stages (ingestion, T1/M0$$ {T}_1/{M}_0 $$ fitting, vascular and tissue ROI extraction, signal‐to‐concentration conversion, kinetic modeling, and quality control ...
Edis D. Tireli, Stig P. Cramer, Ulrich Lindberg, Derya Tireli, Mark B. Vestergaard, Henrik B. W. Larsson   +5 more
wiley   +1 more source

Towards Sustainable PP Composites: The Roles of Pineapple Crown Fibers (PCFs) and Functional Additives on the PP Rheological and Viscoelastic Behaviors

Polymer Engineering &Science, EarlyView.
Preparation and rheological characterization of polypropylene composites reinforced with pineapple crown fibers and compatibilized with organic acids. ABSTRACT This research presents a comprehensive rheological and viscoelastic study of polypropylene (PP) composites reinforced with pineapple crown fibers (PCF) and compatibilised using carboxylic acids (
Giordano Pierozan Bernardes, Otavio Bianchi, Matheus Poletto   +2 more
wiley   +1 more source

Lanc-FP: um algoritmo para problemas discretos mal-postos de grande porte [PDF]

, 2009
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro de Ciências Físicas e Matemáticas. Programa de Pós-Graduação em Matemática e Computação Científica.Problemas discretos mal-postos precisam ser regularizados para serem resolvidos ...
Borges, Leonardo Silveira
core  

Regularization Properties of the Sequential Discrepancy Principle for Tikhonov Regularization in Banach Spaces

, 2014
The stable solution of ill-posed non-linear operator equations in Banach space requires regularization. One important approach is based on Tikhonov regularization, in which case a one-parameter family of regularized solutions is obtained.
Anzengruber, Stephan W., Mathé, Peter, Hofmann, Bernd   +2 more
core   +1 more source

Image and video analysis using graph neural network for Internet of Medical Things and computer vision applications

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma, Ashutosh Sharma, Alexey Tselykh, Alexander Bozhenyuk, Byung‐Gyu Kim   +4 more
wiley   +1 more source

Estratégias de detecção de objetos baseadas num problema inverso de espalhamento e regularização [PDF]

, 2012
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro de Ciências Físicas e Matemáticas, Programa de Pós-Graduação em Matemática e Computação Científica, Florianópolis, 2011O problema inverso de espalhamento aqui considerado é ...
Pedroso, Viviam Giacomelli
core  

Differentiable Randers‐Finsler Eikonal Solvers

Computer Graphics Forum, EarlyView.
Abstract Fast and differentiable solvers for anisotropic and asymmetric distance fields are a key primitive in geometry processing, enabling gradient‐based optimization over metrics, drift fields, and downstream objectives that depend on geodesic distances and geodesics.
Barak Gahtan, Jacob Shpund, Alex M. Bronstein   +2 more
wiley   +1 more source

Operational and scientific limb retrieval for the SCIAMACHY instrument [PDF]

, 2009
In this poster we present a comparison between limb retrieval results obtained by using the operational and a scientific processor for the SCIAMACHY instrument.
Doicu, Adrian, Aberle, Bernd, Hrechanyy, Serhiy, Lichtenberg, Günter, Meringer, Markus   +4 more
core  

A Horse Race of Machine‐Learning Methods to Predict Banking Crises

International Finance, EarlyView.
ABSTRACT To examine if one machine‐learning model can consistently elucidate financial vulnerabilities, both over time and across levels of development, this paper applies 13 machine‐learning algorithms to evaluate comparative forecasting performance across several banking crises.
Emile du Plessis
wiley   +1 more source

Comparative Systematic Analysis of Gray Matter Biophysical Models on a Public Dataset

Magnetic Resonance in Medicine, Volume 96, Issue 5, Page 2278-2291, November 2026.
ABSTRACT Purpose Biophysical models of diffusion tailored to characterize gray matter (GM) microstructure are gaining traction in the neuroimaging community. NEXI, SMEX, SANDI, and SANDIX represent recent efforts to account for different microstructural features, such as soma contributions and inter‐compartment exchange, in the diffusion MRI (dMRI ...
Santiago Mezzano, Quentin Uhl, Tommaso Pavan, Jasmine Nguyen‐Duc, Hansol Lee, Susie Huang, Ileana Jelescu   +6 more
wiley   +1 more source