Results 91 to 100 of about 13,919 (263)

Self‐calibrated B1+ and B0 Field Inhomogeneities Estimation (SAFE) in 3D Magnetic Resonance Fingerprinting

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop SAFE, a self‐calibrated framework to estimate B1+ and B0 field inhomogeneities directly from conventional magnetic resonance fingerprinting (MRF) acquisitions and improve its quantification accuracy. Methods SAFE utilized a two‐step approach. First, two physics‐informed image markers are extracted from the MRF data to create
Mengze Gao, Xiaozhi Cao, Daniel Raz Abraham, Zihan Zhou, Nan Wang, Congyu Liao, Yang Yang, Hanlin Sun, Hongwei Li, Yan Bai, Yu Shen, Yaping Wu, Meiyun Wang, Kawin Setsompop   +13 more
wiley   +1 more source

OUCH: Oversampling and Undersampling Cannot Help Improve Accuracy in Our Bayesian Classifiers That Predict Preeclampsia

Mathematics
Unbalanced data can have an impact on the machine learning (ML) algorithms that build predictive models. This manuscript studies the influence of oversampling and undersampling strategies on the learning of the Bayesian classification models that predict
Franklin Parrales-Bravo, Rosangela Caicedo-Quiroz, Elena Tolozano-Benitez, Víctor Gómez-Rodríguez, Lorenzo Cevallos-Torres, Jorge Charco-Aguirre, Leonel Vasquez-Cevallos   +6 more
doaj   +1 more source

Image‐Derived Volumetry During Forced Expiration Using a 3D Fermat Looped, Orthogonally Encoded Trajectory

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To enable MRI‐based nongated 3D depiction of forced expiration with both high spatio‐temporal resolution and fidelity of lung dynamics. Methods An undersampled 3D Fermat looped, orthogonally encoded trajectory (FLORET) was optimized for nonsegmented dynamic acquisitions during forced expiration and a corresponding model‐based ...
Sebastian Scheidel, Viktor Hartung, Matthias Stephan Anders, Corona Metz, Herbert Köstler, Simon Veldhoen, Tobias Wech   +6 more
wiley   +1 more source

Evaluation of 7 Tesla pTx Body Coils Regarding Transmit and Receive Performance

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Most sites develop and use custom coils for 7 T body MRI since no standard pTx body coil exists, leading to diverse coil designs differing in transmit element type, layout, and number of receive channels. This study investigates and compares eight existing coils, including one remote body coil array and seven local arrays, regarding ...
Johannes A. Grimm, Oliver Kraff, Markus W. May, Max Lutz, Stephan Orzada, Thomas M. Fiedler, Steen Moeller, Simon Schmidt, Harald H. Quick, Armin M. Nagel, Mark E. Ladd, Sebastian Schmitter   +11 more
wiley   +1 more source

A Comparison of Mobile Laser Scanning Data Acquisition Methods in Closed Forest, Open Woodland and Sub‐Alpine Woodland Ecosystems

Remote Sensing in Ecology and Conservation, EarlyView.
This study demonstrates that the mobile laser scanning (MLS) sampling density required to reliably characterise vegetation structure increases with a site's structural complexity. Applying a five‐level acquisition framework across open woodland, closed forest and sub‐alpine woodland ecosystems, we found that longer scanning paths increased the ...
Johann Tiede, Karin Reinke, Trung H. Nguyen, Simon Jones   +3 more
wiley   +1 more source

Transparency, Sustainable Governance and Digital Accessibility in Municipalities: A Machine Learning Approach

Sustainable Development, EarlyView.
ABSTRACT Achieving the Sustainable Development Goals (SDGs) requires transparent and accountable local governments, yet little is known about the structural drivers of municipal transparency. This study introduces a machine learning approach to predict municipal transparency using the Bidimensional Transparency Index (BTI), which measures both the ...
Ana M. Plata‐Díaz, Elisabeth Zafra‐Gómez, Juan C. Garrido‐Rodríguez, M. Carmen Pérez‐López   +3 more
wiley   +1 more source

Empirical Review of Traditional and Recent Balancing Techniques for Image-Based Physical Violence Classification Across Diverse Imbalance Scenarios and Multiple Datasets

Mathematics
The automated classification of physical violence in images faces a critical methodological obstacle: class imbalance, which undermines the discriminative capacity of Deep Learning (DL) models by leading them to overfit the majority class.
Daniel Cervantes Ambriz, Daniel Villanueva Vásquez, Federico del Razo López, Everardo Efrén Granda Gutiérrez, Vicente García Jiménez, Roberto Alejo Eleuterio   +5 more
doaj   +1 more source

The Photometry of Undersampled Point‐Spread Functions

Publications of the Astronomical Society of the Pacific, 1999
20 pages, 14 postscript figures, submitted to the ...
openaire   +2 more sources

T‐800: An 800 Hz Data Glove for Precise Hand Gesture Tracking

SmartBot, EarlyView.
Hand motion capture provides critical insights into human dexterity and facilitates advancements in robotic manipulation, yet existing systems are limited by a trade‐off between temporal resolution and visual occlusion. Here, the authors present T‐800, a high‐bandwidth data glove achieving synchronized full‐hand motion capturing at 800 Hz.
Haoyang Luo, Zihang Zhao, Leiyao Cui, Saiyao Zhang, Liu Yang, Zhi Han, Xiyuan Tang, Yixin Zhu   +7 more
wiley   +1 more source

Balancing Sentiment Analysis Datasets Through Representative-Word-Guided Synthetic Review Generation: A Case Study on Mexican Spanish Tourism Reviews

Applied Sciences
Class imbalance remains one of the most challenging problems in sentiment analysis, particularly in tourism review datasets where positive opinions substantially outnumber neutral and negative comments.
Angel Díaz-Pacheco, Andrea Bethsabe García-Gutiérrez, Ansel Y. Rodríguez-González, Ramón Aranda, Miguel Á. Álvarez-Carmona   +4 more
doaj   +1 more source