Results 101 to 110 of about 1,906,510 (288)

A Deep Learning Approach for the Fast Generation of Synthetic Computed Tomography from Low-Dose Cone Beam Computed Tomography Images on a Linear Accelerator Equipped with Artificial Intelligence

open access: yesApplied Sciences
Artificial Intelligence (AI) is revolutionising many aspects of radiotherapy (RT), opening scenarios that were unimaginable just a few years ago. The aim of this study is to propose a Deep Leaning (DL) approach able to quickly generate synthetic Computed
Luca Vellini   +17 more
doaj   +1 more source

Biodegradable and Biocompatible Functional Polymers for Biomedical Applications

open access: yesAdvanced Functional Materials, EarlyView.
Biodegradable and biocompatible functional polymers integrate electrical, mechanical, and stimuli‐responsive functionalities while enabling programmed degradation under physiological conditions. This review introduces recent advances in conductive, shape‐memory, self‐healing, photocurable, and adhesive polymer systems, emphasizing material design ...
Won Bae Han   +5 more
wiley   +1 more source

Multiscale Segmentation-Guided Diffusion Model for CBCT-to-CT Synthesis

open access: yesLife
To improve synthetic CT (sCT) generation from cone-beam CT (CBCT) in radiotherapy, we propose a multiscale segmentation-guided diffusion framework. The proposed model integrates anatomical priors across multiple spatial resolutions through a segmentation
Yike Guo   +7 more
doaj   +1 more source

A Multi-center Prospective Study for Implementation of an MRI-Only Prostate Treatment Planning Workflow

open access: yesFrontiers in Oncology, 2019
Purpose: This project investigates the feasibility of implementation of MRI-only prostate planning in a prospective multi-center study.Method and Materials: A two-phase implementation model was utilized where centers performed retrospective analysis of ...
Peter Greer   +35 more
doaj   +1 more source

Cone beam CT for QA of synthetic CT in MRI only for prostate patients

open access: yes, 2018
Purpose: Magnetic resonance imaging (MRI)-only radiotherapy is performed without computed tomography (CT). A synthetic CT (sCT) is used for treatment planning.
Palmér, Emilia   +18 more
core   +1 more source

Stabilization of Strongly Reduced Fe(I) Single Atom Species Coordinated in a 2D Self‐Assembled Metal–Organic Network

open access: yesAdvanced Functional Materials, EarlyView.
A graphene‐supported 2D metal–organic network stabilizes highly reactive Fe(I)‐N4 single sites through Co‐induced charge redistribution. Combined experiments and theory reveal Fe(I) formation, oxygen‐driven oxidation, and O2 activation mechanisms, offering a strategy to access low‐valent iron centers relevant to catalytic and biological processes ...
Alessandro Namar   +9 more
wiley   +1 more source

Incremental diagnostic value of deep Learning–Based synthetic contrast CT: Implications for cancer treatment response assessment - A retrospective study

open access: yesScience Progress
Objective Patients with malignancies often require frequent contrast-enhanced CT for treatment monitoring, but renal dysfunction or hypersensitivity reactions frequently restrict the use of iodinated contrast agents.
Seongkeun Park PhD   +2 more
doaj   +1 more source

Synthetic 4D-CT of the thorax for treatment plan adaptation on MR-guided radiotherapy systems.

open access: yes, 2019
MR-guided radiotherapy treatment planning utilises the high soft-tissue contrast of MRI to reduce uncertainty in delineation of the target and organs at risk.
Collins, DJ   +8 more
core   +1 more source

Guanosine‐Quadruplex Hydrogels as Dynamic, Mechanically Tunable and Ion Conductive 3D Scaffolds for Cell Culture Applications

open access: yesAdvanced Functional Materials, EarlyView.
Versatile guanosine‐quadruplex (GQ) hydrogels are developed as dynamic biomatrices for cell culture. These scaffolds are fabricated under mild aqueous conditions, present improved stability, tunable mechanical properties within physiological ranges; fibrillar, porous microstructure, ion conductivity, and cytocompatibility.
Neha Thakur   +10 more
wiley   +1 more source

Synthetic CT generation for pelvic cases based on deep learning in multi-center datasets

open access: yesRadiation Oncology
Background and purpose To investigate the feasibility of synthesizing computed tomography (CT) images from magnetic resonance (MR) images in multi-center datasets using generative adversarial networks (GANs) for rectal cancer MR-only radiotherapy ...
Xianan Li   +10 more
doaj   +1 more source

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