Results 161 to 170 of about 474,030 (289)

Validation and feasibility of fast knee MRI using a deep learning-assisted 3D iterative image enhancement system. [PDF]

Quant Imaging Med Surg
Zhu X, Li Y, Xie X, Xia W, Ye J, Lv Y, Sun X, Zhu Y, Huang W, Peng J, Luo S.   +10 more
europepmc   +1 more source

A Multimodal Intelligent System for Human Digital Twin Simulation with Continuous Kinematic Data Tracking, Biometric Prognosis, and Cognitive State Feedback in Industrial Environments

Advanced Intelligent Discovery, EarlyView.
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury, Sebastian Gratz‐Kelly, Eric Wagner, Paul Motzki, Martina Lehser   +4 more
wiley   +1 more source

Feasibility of Artificial Intelligence-Processed Low-Dose Cone-Beam Computed Tomography in Dental Imaging. [PDF]

Bioengineering (Basel)
Park TY, Lee SE, Park SY, On SW, Yi SM, Yang BE, Byun SH.   +6 more
europepmc   +1 more source

DeepMapper: Attention‐Based AutoEncoder for System Identification in Wound Healing and Stage Prediction

Advanced Intelligent Discovery, EarlyView.
The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu, Ksenia Zlobina, Michael Briden, Oscar Avalos, Héctor Carrión, Sebastian Osorio, Hsin‐ya Yang, Alexandra Nava, Michelle D. Bagood, Marco Rolandi, Roslyn Rivkah Isseroff, Marcella Gomez   +11 more
wiley   +1 more source

Role of metal artifact reduction software in computed tomography angiography of lower limb metallic prosthesis: A retrospective study. [PDF]

World J Radiol
Mounir AM, Elmokadem AH, Saleh GAH, El-Morsy A, Abd El-Raouf GH.   +4 more
europepmc   +1 more source

Machine‐Learning‐Assisted Onset‐Time Determination in Transient Luminescence Thermometry

Advanced Intelligent Discovery, EarlyView.
Artificial neural networks enable autonomous extraction of onset times from transient heating curves in luminescence thermometry. Using Ln3+‐doped upconverting nanoparticles as luminescent thermometers, we combine experimental transients with physically motivated synthetic curves to enhance data diversity and improve generalization.
David J. Sousa, Erving Ximendes, Luís D. Carlos, Carlos D. S. Brites   +3 more
wiley   +1 more source

Generation of deep learning based virtual contrast-enhanced CT images from noncontrast CT images for target volume delineation in cervical cancer radiotherapy. [PDF]

Front Oncol
Chen Y, Xie H, Wang S, Chen Y, Tu Y, Bai Z, Li G, Wang J, Tang Q.   +8 more
europepmc   +1 more source

Machine Learning‐Based Estimation of Experimental Artifacts and Image Quality in Fluorescence Microscopy

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of image quality metrics in combination with machine learning enables automatic image quality assessment for fluorescence microscopy images. The method can be integrated into the experimental pipeline for optical microscopy and utilized to classify artifacts in experimental images and to build quality rankings with a reference‐free approach ...
Elena Corbetta, Thomas Bocklitz
wiley   +1 more source

Minimizing contrast agent dosage in CT angiography using a saline chaser with a low trigger threshold. [PDF]

Front Radiol
Li L, Zhu X, Wu X.
europepmc   +1 more source

Online Crowdsourcing of Subjective Quality Assessment of Images

Journal of Vision, 2014
D. Ghadiyaram, A. Bovik
openaire   +1 more source