Results 101 to 110 of about 129,940 (303)

Bovine tuberculosis history as a risk factor for recurrence in English cattle herds experiencing a breakdown

Veterinary Record, EarlyView.
Abstract Background Bovine tuberculosis (TB) threatens cattle farming in England. Supplementing tuberculin skin testing with the interferon‐gamma blood test during TB incident (breakdown) management can enhance diagnostic sensitivity. We aimed to identify herds at greater risk of recurrence depending on their recent TB history to inform targeted ...
Daisy Duncan, Adam Brouwer, Ricardo de la Rua‐Domenech, Rachelle Avigad, Jessica Parry, Lucy Brunton   +5 more
wiley   +1 more source

Preoperative MRI-based deep learning reconstruction and classification model for assessing rectal cancer

BMC Medical Imaging
Background To determine whether deep learning reconstruction (DLR) could improve the image quality of rectal MR images, and to explore the discrimination of the TN stage of rectal cancer by different readers and deep learning classification models ...
Yuan Yuan, Shengnan Ren, Haidi Lu, Fangying Chen, Lei Xiang, Ryan Chamberlain, Chengwei Shao, Jianping Lu, Fu Shen, Luguang Chen   +9 more
doaj   +1 more source

A pilot study assessing the clinical utility of deep learning-reconstructed 3D-echo-planar-imaging-based quantitative susceptibility mapping in multiple sclerosis

Frontiers in Neuroscience
BackgroundQuantitative susceptibility mapping (QSM) has emerged as a promising paraclinical tool in multiple sclerosis (MS). This retrospective pilot study aims to evaluate whether a recently proposed deep learning-assisted, k-space-operating ...
Dimitrios G. Gkotsoulias, Dimitrios G. Gkotsoulias, Dimitrios G. Gkotsoulias, Matthias Weigel, Matthias Weigel, Matthias Weigel, Matthias Weigel, Alessandro Cagol, Alessandro Cagol, Alessandro Cagol, Alessandro Cagol, Nina de Oliveira Soares Siebenborn, Esther Ruberte, Esther Ruberte, Esther Ruberte, Josef Pfeuffer, Cristina Granziera, Cristina Granziera, Cristina Granziera   +18 more
doaj   +1 more source

Working towards an Improved Monitoring Infrastructure to support Disaster Management, Humanitarian Relief and Civil Security [PDF]

, 2005
Within this paper experiences and results from the work in the context of the European Initiative on Global Monitoring for Environment and Security (GMES) as they were gathered within the German Remote Sensing Data Center (DFD) are reported.
Kemper, Thomas, Mehl, Harald, Riedlinger, Torsten, Voigt, Stefan   +3 more
core  

Modelling the Four‐Dimensional Power Line Sag Dynamics by Point Signature in Time‐Series Synthetic‐Aperture Radar Images

High Voltage, EarlyView.
ABSTRACT Power lines in synthetic‐aperture radar (SAR) images are reflected as point signatures, which fluctuate annually in both the azimuth and range directions. A novel framework is proposed in this paper to evaluate the four‐dimensional dynamic status of power line sag using those point signatures in time‐series SAR images.
Sijie Ma, Tao Li, Mahdi Motagh, Yan Liu, Yangmao Wen   +4 more
wiley   +1 more source

Sharing the Same Playground? An Analysis of the Private Sector's Role in Tech Diplomacy

Global Policy, EarlyView.
ABSTRACT This article takes the emergence of tech diplomacy as the motivation for an investigation into shifting relationships between traditional diplomatic actors and non‐state actors. The observation that ‘new diplomatic actors’ and new diplomatic venues have led to a ‘new kind of diplomacy’ dates back to at least the 1990s.
Katharina E. Höne
wiley   +1 more source

Deep learning reconstruction improves computer-aided pulmonary nodule detection and measurement accuracy for ultra-low-dose chest CT

BMC Medical Imaging
Purpose To compare the image quality and pulmonary nodule detectability and measurement accuracy between deep learning reconstruction (DLR) and hybrid iterative reconstruction (HIR) of chest ultra-low-dose CT (ULDCT).
Jinhua Wang, Zhenchen Zhu, Zhengsong Pan, Weixiong Tan, Wei Han, Zhen Zhou, Ge Hu, Zhuangfei Ma, Yinghao Xu, Zhoumeng Ying, Xin Sui, Zhengyu Jin, Lan Song, Wei Song   +13 more
doaj   +1 more source

Uncovering temporal patterns of wildlife activity, habitat use and habitat preference from camera‐trap data

Methods in Ecology and Evolution, EarlyView.
Abstract An understanding of habitat use and levels of active behaviour is foundational to wildlife behaviour, ecology, conservation and management. These variables are commonly measured by tracking individuals in space and time using biologging. In principle, camera‐trap data also contain information about both activity level and habitat use; however,
J. Marcus Rowcliffe, Laurens R. Dijkhuis, Patrick A. Jansen   +2 more
wiley   +1 more source

Quantitative double echo steady state T2 mapping of upper extremity peripheral nerves and muscles

Frontiers in Neurology
IntroductionT2 mapping can characterize peripheral neuropathy and muscle denervation due to axonal damage. Three-dimensional double echo steady-state (DESS) can simultaneously provide 3D qualitative information and T2 maps with equivalent spatial ...
Gracyn J. Campbell, Darryl B. Sneag, Sophie C. Queler, Yenpo Lin, Yenpo Lin, Qian Li, Ek T. Tan   +6 more
doaj   +1 more source

SDFs from Unoriented Point Clouds using Neural Variational Heat Distances

Computer Graphics Forum, EarlyView.
We propose a novel variational approach for computing neural Signed Distance Fields (SDF) from unoriented point clouds. We first compute a small time step of heat flow (middle) and then use its gradient directions to solve for a neural SDF (right). Abstract We propose a novel variational approach for computing neural Signed Distance Fields (SDF) from ...
Samuel Weidemaier, Florine Hartwig, Josua Sassen, Sergio Conti, Mirela Ben‐Chen, Martin Rumpf   +5 more
wiley   +1 more source