Zobrazeno 1 - 10
of 2 605
pro vyhledávání: '"Webb Andrew"'
Autor:
Huang, Shaoying, Algarín, José Miguel, Alonso, Joseba, R, Anieyrudh, Borreguero, Jose, Bschorr, Fabian, Cassidy, Paul, Choo, Wei Ming, Corcos, David, Guallart-Naval, Teresa, Han, Heng Jing, Igwe, Kay Chioma, Kang, Jacob, Li, Joe, Littin, Sebastian, Liu, Jie, Rodriguez, Gonzalo Gabriel, Solomon, Eddy, Tan, Li-Kuo, Tian, Rui, Webb, Andrew, Weber, Susanna, Xiao, Dan, Xu, Minxuan, Yu, Wenwei, Zhang, Zhiyong, Zinghini, Isabelle, Blümich, Bernhard
Nuclear magnetic resonance instruments are becoming available to the do-it-yourself community. The challenges encountered in the endeavor to build a magnetic resonance imaging instrument from scratch were confronted in a four-day hackathon at Singapo
Externí odkaz:
http://arxiv.org/abs/2411.11365
GraphRT is a graph based deep learning model that predicts the retention time (RT) of peptides in liquid chromatography tandem mass spectrometry (LC MSMS) experiments. Each amino acid is represented as a graph, capturing its atomic and structural pro
Externí odkaz:
http://arxiv.org/abs/2402.02661
Ultra-high field MRI offers unprecedented detail for non-invasive visualization of the human brain. However, brain imaging is challenging at 7T due to the B$_1^+$ field inhomogeneity, which results in signal intensity drops in temporal lobes and a br
Externí odkaz:
http://arxiv.org/abs/2310.20019
Autor:
Vliem, Jules, Xiao, Ying, Wenz, Daniel, Xin, Lijing, Teeuwisse, Wouter, Ruytenberg, Thomas, Webb, Andrew, Zivkovic, Irena
This study evaluates the performance of a twisted pair transmission line coil as a transceive element for 7T MRI in terms of physical flexibility, robustness to shape deformations, and interelement decoupling. Each coil element was created by shaping
Externí odkaz:
http://arxiv.org/abs/2306.08934
Publikováno v:
Journal of Machine Learning Research, 24(359), 2023
We present a theory of ensemble diversity, explaining the nature of diversity for a wide range of supervised learning scenarios. This challenge has been referred to as the holy grail of ensemble learning, an open research issue for over 30 years. Our
Externí odkaz:
http://arxiv.org/abs/2301.03962
Autor:
Negnevitsky, Vlad, Vives-Gilabert, Yolanda, Algarín, José M., Craven-Brightman, Lincoln, Pellicer-Guridi, Rubén, O'Reilly, Thomas, Stockmann, Jason P., Webb, Andrew, Alonso, Joseba, Menküc, Benjamin
Every magnetic resonance imaging (MRI) device requires an electronic control system that handles pulse sequences and signal detection and processing. Here we provide details on the architecture and performance of MaRCoS, a MAgnetic Resonance COntrol
Externí odkaz:
http://arxiv.org/abs/2208.01616