Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Ruibin Feng"'
Autor:
Yilin Liu, Yuan Fang, Yuanling Chen, Fuyi Qin, Xinrui Li, Ruibin Feng, Xinyu Luo, Jia Wen, Yatang Chen, Zhaowei Teng, Yong Zeng
Publikováno v:
BMC Psychology, Vol 12, Iss 1, Pp 1-9 (2024)
Abstract This study delves into the correlation between childhood trauma and non-suicidal self-injury (NSSI) behaviors among high school students. Additionally, it examines the mediating role of stress perception and the moderating role of the teache
Externí odkaz:
https://doaj.org/article/1cbf91851b25418d8ea1c71235e6b78e
Autor:
Prasanth Ganesan, Ruibin Feng, Brototo Deb, Fleur V. Y. Tjong, Albert J. Rogers, Samuel Ruipérez-Campillo, Sulaiman Somani, Paul Clopton, Tina Baykaner, Miguel Rodrigo, James Zou, Francois Haddad, Matei Zaharia, Sanjiv M. Narayan
Publikováno v:
Diagnostics, Vol 14, Iss 14, p 1538 (2024)
Background: Segmenting computed tomography (CT) is crucial in various clinical applications, such as tailoring personalized cardiac ablation for managing cardiac arrhythmias. Automating segmentation through machine learning (ML) is hindered by the ne
Externí odkaz:
https://doaj.org/article/4d4ba4f2625544aeb5cb779c3fca69ab
Autor:
Ruibin Feng, Brototo Deb, Prasanth Ganesan, Fleur V. Y. Tjong, Albert J. Rogers, Samuel Ruipérez-Campillo, Sulaiman Somani, Paul Clopton, Tina Baykaner, Miguel Rodrigo, James Zou, Francois Haddad, Matei Zahari, Sanjiv M. Narayan
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 10 (2023)
BackgroundSegmentation of computed tomography (CT) is important for many clinical procedures including personalized cardiac ablation for the management of cardiac arrhythmias. While segmentation can be automated by machine learning (ML), it is limite
Externí odkaz:
https://doaj.org/article/a860f347d23a419e99ac981c27c75998
Publikováno v:
Mathematics, Vol 10, Iss 24, p 4801 (2022)
Many analog neural network approaches for sparse recovery were based on using ℓ1-norm as the surrogate of ℓ0-norm. This paper proposes an analog neural network model, namely the Lagrange programming neural network with ℓp objective and quadrati
Externí odkaz:
https://doaj.org/article/e3134b304bd9439982547ef26f4425b4
Publikováno v:
IEEE Access, Vol 7, Pp 151902-151914 (2019)
There are two important issues in the construction of a radial basis function (RBF) neural network. The first one is to select suitable RBF centers. The second one is that the resultant RBF network should be with good fault tolerance. This paper prop
Externí odkaz:
https://doaj.org/article/76535e78199e4093bc34c979bdbf61f7
Autor:
Prasanth Ganesan, Brototo Deb, Ruibin Feng, Miguel Rodrigo, Samuel Ruiperez-Campillo, Albert J Rogers, Paul Clopton, Paul J Wang, Stef Zeemering, Ulrich Schotten, Wouter-Jan Rappel, Sanjiv M Narayan
Publikováno v:
EP Europace. Oxford University Press
AimsThere is a clinical spectrum for atrial tachyarrhythmias wherein most patients with atrial tachycardia (AT) and some with atrial fibrillation (AF) respond to ablation, while others do not. It is undefined if this clinical spectrum has pathophysio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22eb115dba6feab46d0d95ba46b08439
https://cris.maastrichtuniversity.nl/en/publications/aa4c16f5-d723-45ce-8688-0bf57fc235b4
https://cris.maastrichtuniversity.nl/en/publications/aa4c16f5-d723-45ce-8688-0bf57fc235b4
Autor:
Miguel Rodrigo, Prasanth Ganesan, Ruibin Feng, Samuel Ruiperez-Campillo, Sanjiv M. Narayan, Vadim V. Fedorov
Publikováno v:
Heart Rhythm. 20:S462-S463
Autor:
'Roel Klein, Florence E. van Lieshout, Maarten Z. Kolk, Kylian van Geijtenbeek, Romy Vos, Samuel Ruipérez-Campillo, Ruibin Feng, Brototo Deb, Prasanth Ganesan, Reinoud Knops, Ivana Isgum, Sanjiv Narayan, Erik Bekkers, Bob de Vos, Fleur V. Tjong\\'
Publikováno v:
Computing in Cardiology Conference (CinC).
Publikováno v:
Mathematics; Volume 10; Issue 24; Pages: 4801
Many analog neural network approaches for sparse recovery were based on using ℓ1-norm as the surrogate of ℓ0-norm. This paper proposes an analog neural network model, namely the Lagrange programming neural network with ℓp objective and quadrati
Autor:
Ruibin Feng, Brototo Deb, Prasanth Ganesan, Fleur Tjong, Albert Rogers, Samuel Ruipérez-Campillo, Sulaiman Somani, Miguel Rodrigo, Paul Clopton, James Zou, Matei Zaharia, Sanjiv Narayan
Ablation is a common therapeutic procedure for atrial fibrillation (AF), that is guided to specific targets in the heart often after laborious segmentation of computed tomography. Machine learning (ML) can automate such tasks but requires large train
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f96ed16b4ed923af91695cb1f1435a6
https://doi.org/10.21203/rs.3.rs-1840375/v1
https://doi.org/10.21203/rs.3.rs-1840375/v1