Results 171 to 180 of about 75,390 (291)

Fast and Robust Diffusion Posterior Sampling for MR Image Reconstruction Using the Preconditioned Unadjusted Langevin Algorithm

Magnetic Resonance in Medicine, Volume 96, Issue 3, Page 1323-1332, September 2026.
ABSTRACT Purpose The Unadjusted Langevin Algorithm (ULA) in combination with diffusion models can generate high quality MRI reconstructions with uncertainty estimation from highly undersampled k‐space data. However, sampling methods such as diffusion posterior sampling (DPS) or likelihood annealing suffer from long reconstruction times and the need for
Moritz Blumenthal, Tina Holliber, Jonathan I. Tamir, Martin Uecker   +3 more
wiley   +1 more source

SelExNet: A Self‐Supervised Physics‐Informed Framework for Multi‐Channel Joint RF and Gradient Waveform Optimization in 2D Spatially Selective Excitation

Magnetic Resonance in Medicine, Volume 96, Issue 3, Page 1219-1234, September 2026.
ABSTRACT Purpose To introduce SelExNet: a self‐supervised framework for two‐dimensional spatially selective excitation that jointly optimizes radiofrequency (RF) pulses and gradient waveforms, and extends to multi‐channel transmission MRI. Methods Building on prior RF‐only and joint RF‐gradient optimization approaches, SelExNet couples neural RF and ...
Yuliang Xiao, Jason Rock, Zhe Wu, Jamie Near, Mark Chiew, Simon J. Graham   +5 more
wiley   +1 more source

Deep‐Learning‐Based Image Reconstruction to Improve End‐Diastolic and Systolic Cardiac T1 Mapping

Magnetic Resonance in Medicine, Volume 96, Issue 2, Page 892-907, August 2026.
ABSTRACT Purpose To develop an image reconstruction method that enables increased spatial resolution cardiac T1 mapping in both the end‐diastolic and systolic phase, that shows high T1 agreement with the clinical standard. The resolution gain is achieved by increasing the acceleration rate of MOLLI single‐shot images to R = 4, while maintaining a ...
Daniel Amsel, Jens Wetzl, Daniel Giese, Christoph Tillmanns, Rolf Gebker, Kelvin Chow, Michaela Schmidt, Andreas Lingg, Jens Kübler, Patrick Krumm, Thomas Küstner   +10 more
wiley   +1 more source

Dynamic Mode Decomposition (DMD) for Low‐Latency Real‐Time Cardiac MRI

Magnetic Resonance in Medicine, Volume 96, Issue 2, Page 623-634, August 2026.
ABSTRACT Purpose To demonstrate dynamic mode decomposition (DMD) for high spatiotemporal low‐latency online reconstruction in 2D real‐time cardiac MRI. Methods DMD was applied to 2D spiral balanced steady state free precession (bSSFP) real‐time adult and fetal cardiac MRI at 0.55 T, with data from 10 healthy adult volunteers (3F/7M; age: 21–49; BMI: 20–
Ecrin Yagiz, Bilal Tasdelen, Ibrahim K. Ozaslan, Mihailo R. Jovanovic, Ye Tian, Krishna S. Nayak   +5 more
wiley   +1 more source

Super‐Resolution of Planetary Images Based on Generative Adversarial Network

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Currently, satellite imagery serves as the primary means of observing terrestrial planets such as the Mars, the Moon, and Mercury. Enhancing the resolution and quality of these images can provide more detailed insights into planetary surfaces. However, improvements in image quality are often limited by the constraints of sensor technology and ...
Xiaoran Zhang, Yiran Wang, Miao Zhuo
wiley   +1 more source

Comparative Analysis of Image Quality Assessment Metrics: MSE, PSNR, SSIM and FSIM

International Journal of Science and Research (IJSR)
Yusra Al Najjar
semanticscholar   +1 more source

Joint Satellite SST and Dynamic SSS as Key Constraints on the Thermodynamics of Tropical Instability Wave Variability in the Eastern Equatorial Pacific

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 4, August 2026.
Abstract Tropical instability waves (TIWs) generate mesoscale sea surface temperature (SST) fluctuations in the eastern equatorial Pacific and influence the evolution of the El Niño‐Southern Oscillation (ENSO). Yet satellite‐based prediction of TIW‐related SST anomalies remains largely SST‐centric and makes limited use of sea surface salinity (SSS ...
Yinfei Zhou, Haoyu Wang, Xiaofeng Li
wiley   +1 more source

Digital media pattern design compression and optimization method based on K-means clustering and LLE dimensionality reduction. [PDF]

PLoS One
Liu B, Zhou S, Sun J, Liu X, Lu W.
europepmc   +1 more source

Efficient low‐dose CT image enhancement using MobileMamba‐UNet with wavelet‐enhanced long‐range modeling

Journal of Applied Clinical Medical Physics, Volume 27, Issue 7, July 2026.
Abstract Background Deep learning has become a dominant paradigm for low‐dose computed tomography (LDCT) image reconstruction. Nevertheless, existing approaches still struggle to simultaneously achieve accurate structural detail preservation and computational efficiency, particularly when handling long‐range contextual dependencies. Purpose To design a
Jianfang Li, Haiyan Liu, Xiaoli Wang, Jianshu Hong   +3 more
wiley   +1 more source

EQISP: efficient quantized image signal processing with multi-scale pyramid fusion for resource constrained embodied perception. [PDF]

Front Neurorobot
Yang T, Guo L, Li J, Qin Q, Liu B, Zhang Q.   +5 more
europepmc   +1 more source