Results 131 to 140 of about 15,597 (201)

Assessing image quality in photoacoustic imaging: A metric-based and deep learning-based evaluation. [PDF]

Photoacoustics
Van Der Brugge M, Francis KJ, Awasthi N.
europepmc   +1 more source

Feasibility Study for Dual Phase Free Breathing 3D bSSFP MRA With Preserved Eddy‐Current Tolerance With Adaptive k‐Space Lengths (PETAL) Acquisition

Magnetic Resonance in Medicine, Volume 95, Issue 4, Page 2078-2091, April 2026.
ABSTRACT Purpose To demonstrate the feasibility of a novel dual‐phase self‐navigated, free‐breathing balanced steady‐state free‐precession whole‐heart MRA acquisition for aortic annulus size measurement using a Cartesian trajectory that mitigates eddy‐current artifacts by minimizing k‐space jumps between consecutive readouts with predictable scan times.
Tassia Ribeiro Salles Moura, Dingheng Mai, Emma Wexler, Lydia P. Lewis, Wajeh Abuirmaileh, Angel Houston, Kathy Kohut, Eric Roselli, Deborah Kwon, David Chen, Danielle Kara, Christopher T. Nguyen   +11 more
wiley   +1 more source

Multimodal magnetic resonance imaging synthesis via cross-modal feature fusion and hierarchical feature extraction. [PDF]

Quant Imaging Med Surg
Guo H, Zhang H, Li M.
europepmc   +1 more source

Efficient Kilometer‐Scale Precipitation Downscaling With Conditional Wavelet Diffusion

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Precipitation products such as Integrated Multi‐satellitE Retrievals have coarse resolution (∼10 ${\sim} 10$ km), which limits their application in hydrological modeling and extreme weather analysis. We propose the Wavelet Diffusion Model (WDM), a fast generative framework for high‐quality precipitation downscaling trained on multi‐radar multi‐
Chugang Yi, Minghan Yu, Weikang Qian, Yixin Wen, Haizhao Yang   +4 more
wiley   +1 more source

Dual-branch residual encoder-decoder convolutional neural network (DB-REDCNN): a computed tomography-integrated multimodal network for positron emission tomography denoising. [PDF]

Quant Imaging Med Surg
Liu Y, Zou G, Li T, Liu H.
europepmc   +1 more source

GeoFWI: A Large Velocity Model Data Set for Benchmarking Full Waveform Inversion Using Deep Learning

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Full waveform inversion (FWI) plays an increasingly important role in the field of seismic imaging due to its strong ability to estimate subsurface properties. Specifically, data‐driven FWI (DDFWI) establishes a straightforward mapping relationship between seismic data and the corresponding velocity model, yielding promising results.
Chao Li, Yiran Shen, Sergey Fomel, Umair Bin Waheed, Alexandros Savvaidis, Yangkang Chen   +5 more
wiley   +1 more source

TVNet: Multimodal medical image fusion by dual-branch network with vision transformer and one-shot aggregation. [PDF]

Sci Prog
Wang J, Jia W, Liu Y, Wu P, Geng P, Meng X.   +5 more
europepmc   +1 more source

Principled Fourier Neural Operators for High‐Resolution Regional Ocean Modeling

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Reliable and computationally efficient ocean state forecasts are essential for climate resilience, maritime safety, and science‐to‐decision applications. Growing demand has stimulated interest in machine learning approaches as scalable complements to traditional numerical models.
Vahidreza Jahanmard, Robinson Hordoir, Ali Ramezani‐Kebrya, Artu Ellmann, Nicole Delpeche‐Ellmann   +4 more
wiley   +1 more source

Reference-guided MRI super-resolution with dual attention aggregation network. [PDF]

Front Neurol
Wang L, Chang T, Tan L, Shi B, Zhu Y.
europepmc   +1 more source

Downscaling Microwave‐Based Evapotranspiration With a Fourier‐Supervised Multi‐Source Fusion Network in Central‐Southern East Asia

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Evapotranspiration (ET) is a critical component of the land‐atmosphere energy and water cycle. Satellite remote sensing has proven to be highly effective for large‐scale ET estimation across heterogeneous landscapes, but producing high‐resolution, all‐weather ET remains difficult.
Haoyang Li, Dong Li, Yipu Wang, Qingyang Liu, Jiheng Hu, Binbin Song, Shengli Wu, Peng Zhang, Danfeng Hong, Rui Li   +9 more
wiley   +1 more source