Results 81 to 90 of about 1,353 (200)
Multi‐dynamic deep image prior for cardiac MRI
Magnetic Resonance in Medicine, Volume 94, Issue 6, Page 2668-2679, December 2025.Abstract Purpose Cardiovascular magnetic resonance imaging is a powerful diagnostic tool for assessing cardiac structure and function. However, traditional breath‐held imaging protocols pose challenges for patients with arrhythmias or limited breath‐holding capacity.
Marc Vornehm +6 more
wiley +1 more source
A Near‐Field Coupling Array Enables Parallel Imaging and SNR Gain in MRI
Advanced Science, Volume 12, Issue 37, October 6, 2025.This paper proposes a metasurface‐based radiofrequency (RF) coil architecture, providing a universal theoretical framework for the application of decoupled metasurface arrays in magnetic resonance imaging, with potential to address wireless connectivity issues in magnetic resonance imaging RF coils.
Zhiguang Mo +11 more
wiley +1 more source
On the Absolute Quadratic Complex and Its Application to Autocalibration [PDF]
2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), 2005 This article introduces the absolute quadratic complex formed by all lines that intersect the absolute conic. If ω denotes the 3 × 3 symmetric matrix representing the image of that conic under the action of a camera with projection matrix P, it is shown that ω ≈ P~Ω_P~T where V is the 3 × 6 line projection matrix associated with P and Ω_ is a 6 × 6 ...
Ponce, Jean +4 more
openaire +2 more sources
Autocalibration for Insurance Pricing with Machine Learning
, 2021 With Michel Denuit and Julien Trufin, we recently uploaded a joint paper on ArXiv, entitled Autocalibration and Tweedie-dominance for Insurance Pricing with Machine Learning.
Arthur Charpentier
core
Autocalibration and Tweedie-dominance for insurance pricing with machine learning
, 2021 Boosting techniques and neural networks are particularly effective machine learning methods for insurance pricing. Often in practice, there are nevertheless endless debates about the choice of the right loss function to be used to train the machine ...
Charpentier, Arthur +3 more
core +1 more source
Insights on Scan‐Specific Deep‐Learning Strategies for Brain MRI Parallel Imaging Reconstruction
NMR in Biomedicine, Volume 38, Issue 8, August 2025.Methods are proposed to optimize 2D brain MRI parallel imaging reconstruction using scan‐specific deep learning strategies. The study challenges the use of neural networks trained with limited ACS data and larger acceleration rates than clinical practice, notably proposing a new image metrics sensitive to structured residual artifacts to select models.
Swetali Nimje +3 more
wiley +1 more source
Scandinavian Journal of Medicine &Science in Sports, Volume 35, Issue 8, August 2025.ABSTRACT This secondary data analysis aimed to demonstrate the utility of physical activity (PA) wrist accelerometer outcome reference values by identifying the PA volume (average acceleration) and intensity distribution (intensity gradient) centiles and values associated with body mass index (BMI) status (normal weight, overweight, and obese) and ...
Lynne M. Boddy +16 more
wiley +1 more source
, 2022 S.426-432Many sophisticated high-resolution methods have been proposed. The study describes the practical experience in the combined application of superresolution and autocalibration methods for the resolution of multipath signals.
Wirth, W.-D.
core +1 more source
Evaluating Watershed Response Using WEPPcloud—EU for Wildfire Burned Areas in Portugal
Hydrological Processes, Volume 39, Issue 7, July 2025.We tested WEPPcloud—European Union (EU) model on two burned catchments in Portugal, revealing the importance of local data for accurate simulation. Incorporating national and catchment‐specific data decreased equifinality and simplified model calibration.
Marta Basso +4 more
wiley +1 more source
Data-Driven Autocalibration for Swath Sonars
, 2020 Sidelobes in swath sonar water column imagery can obscure targets of interest and create erroneous bottom detections. Differences between ideal and actual element responses limit the achievable sidelobe level for practical arrays.
Hansen, Roy Edgar +2 more
core +1 more source