Results 141 to 150 of about 65,529 (267)

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

Prospective Respiratory Motion Correction Using Machine Learning and Pilot Tone (PROMPT) in Cardiac MRI

Magnetic Resonance in Medicine, Volume 95, Issue 3, Page 1583-1595, March 2026.
ABSTRACT Purpose To implement and evaluate the feasibility of a Pilot Tone (PT)‐based prospective gating and tracking technique, which uses a long short‐term memory (LSTM) neural network to predict respiratory motion from PT signals. Methods A subject‐specific calibration scan consisting of 100 ECG‐triggered single‐shot images was performed ...
Yue Pan, Ning Jin, Kelvin Chow, Mario Bacher, Peter Speier, Vedat O. Yildiz, Matthew Tong, Yuchi Han, Rizwan Ahmad, Orlando P. Simonetti   +9 more
wiley   +1 more source

Adaptive fusion based deep learning framework for restoring underwater image quality using multi scale attention features. [PDF]

Sci Rep
Veeramakali T, Sayeed MS, Yogarayan S.
europepmc   +1 more source

Evaluating the impact of deep learning‐based image denoising on low‐dose CT for lung cancer screening

Journal of Applied Clinical Medical Physics, Volume 27, Issue 2, February 2026.
Abstract Purpose Low‐dose CT (LDCT) is increasingly being adopted as a preferred method for lung cancer screening. However, the accompanying rise in image noise necessitates robust denoising strategies. Therefore, this study compared LDCT images with their denoised counterparts using objective image quality metrics and key nodule‐related features ...
Shih‐Sheng Chen, Hsiao‐Hua Liu, Ching‐Ching Yang   +2 more
wiley   +1 more source

Physics-constrained GAN boosts OAM correction in ocean turbulence. [PDF]

Front Artif Intell
Li X, Wang Z.
europepmc   +1 more source

Explicit Compression Degradation Estimations for Low‐Sampling Single‐Pixel Imaging using Hadamard Basis

Advanced Science, Volume 13, Issue 9, 13 February 2026.
This study proposes a degradation estimation technique to explicitly describe compressive sampling for low‐sampling Hadamard single‐pixel imaging. Blur kernels in explicit degradation models are estimated by the self‐supervised learning method without labeled data and implicit priors.
Haoyu Zhang, Jie Cao, Chang Zhou, Haifeng Yao, Qun Hao   +4 more
wiley   +1 more source

An improved Wexler algorithm for electrical impedance tomography using finite element method and gradient based overrelaxation. [PDF]

Sci Rep
Jurgielewicz M, Walczyk CJ.
europepmc   +1 more source

Image Fusion for Super‐Resolution Mass Spectrometry Imaging of Plant Tissue

Advanced Science, Volume 13, Issue 7, 3 February 2026.
A loss controlled residual network (LCRN) workflow is developed for super‐resolution fusion of plant mass spectrometry imaging data. LCRN uses a novel edge perceptual loss metric to preserve complex plant tissue morphology. LCRN achieves up to 20‐fold magnification while effectively combining chemical information from mass spectrometry with ...
Yuchen Zou, Shipeng Sun, Weiwei Tang, Bin Li   +3 more
wiley   +1 more source

CervSpineNet: a hybrid deep learning-based approach for the segmentation of cervical spinous processes. [PDF]

Front Bioeng Biotechnol
Sawant JS, Moukheiber L, Nair A, Mahajan A, Byun J, Pichaimani I, Yoon ST, Martin CT, Mitchell CS.   +8 more
europepmc   +1 more source

A Stable Edge‐Aware GAN Approach for Data Augmentation and Privacy‐Preserving High‐Fidelity CT Synthesis

Applied AI Letters, Volume 7, Issue 1, February 2026.
The framework addresses limitations of conventional GANs by integrating learnable edge kernels and interpolated skip connections with an edge‐aware discriminator, enabling stable training and improved anatomical fidelity. The resulting synthetic CT images exhibit sharper edges, higher realism, and strong diagnostic plausibility, supporting privacy ...
Raja Vavekanand, Muhammad Turab, Teerath Kumar   +2 more
wiley   +1 more source