Results 131 to 140 of about 13,088 (235)

MDSC: Unsupervised Multipath Decomposition and Synergistic Correction for Efficient Low‐Light Image Enhancement with Detail‐Aware Smoothing

open access: yesAdvanced Intelligent Systems, Volume 8, Issue 8, August 2026.
This work proposes MDSC, an unsupervised low‐light enhancement framework integrating three core innovations: detail‐aware smoothing, multipath decomposition, and synergistic correction. It suppresses noise, handles rapid illumination variations, and prevents reflectance‐contrast amplification inherent to Retinex separation.
Yong Cheng   +6 more
wiley   +1 more source

Knowledge‐distilled diffusion models for improving cone‐beam CT image quality with meta‐learning under imbalanced data

open access: yesMedical Physics, Volume 53, Issue 8, August 2026.
Abstract Background Adaptive radiation therapy (ART) relies on daily cone‐beam CT (CBCT), yet its limited image quality hinders accurate dose calculation, particularly under substantial anatomical changes. Purpose To overcome the clinical challenge of scarce paired planning CT (pCT) data versus abundant unpaired CBCTs, we propose a framework driven by ...
Joonil Hwang   +3 more
wiley   +1 more source

Vector‐Driven Projection and Backprojection

open access: yesMedical Physics, Volume 53, Issue 8, August 2026.
Abstract Background Projection and backprojection are fundamental operators in tomographic image reconstruction. Existing approaches—namely pixel‐driven (PD), ray‐driven (RD), and distance‐driven (DD)—are subject to well‐known trade‐offs among interpolation artifacts, geometric flexibility, and computational cost. Purpose This study aims to introduce a
Ismail Melik Turker, Isa Yildirim
wiley   +1 more source

Equivariant conditional diffusion model for head and neck CT image synthesis from CBCT

open access: yesMedical Physics, Volume 53, Issue 8, August 2026.
Abstract Background Cone‐beam computed tomography (CBCT) is a commonly used modality for image guided radiotherapy (IGRT). It offers real time anatomical visualization with low acquisition cost and dose. Nevertheless, photon scattering and beam hindrance lead CBCT images to suffer from several artifacts.
Alzahra Altalib   +2 more
wiley   +1 more source

3D registration-guided deformable residual inpainting for ssEM restoration. [PDF]

open access: yesBioinformatics
Zhang Z   +5 more
europepmc   +1 more source

A single‐view‐based electroacoustic tomography imaging using deep learning for electroporation monitoring

open access: yesMedical Physics, Volume 53, Issue 8, August 2026.
Abstract Background Electroacoustic tomography (EAT) is an emerging imaging technique with potential for guiding electroporation therapy. However, in clinical applications, EAT scan is typically limited to a single view acquisition, leading to severe artifacts in the reconstruction.
Jie Zhang   +5 more
wiley   +1 more source

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