Results 231 to 240 of about 379,828 (307)

A segment anything model‐guided and match‐based semi‐supervised segmentation framework for medical imaging

open access: yesMedical Physics, EarlyView.
Abstract Background Semi‐supervised segmentation leverages sparse annotation information to learn rich representations from combined labeled and label‐less data for segmentation tasks. The Match‐based framework, by using the consistency constraint of segmentation results from different models/augmented label‐less inputs, is found effective in semi ...
Guoping Xu   +5 more
wiley   +1 more source

A virtual imaging study of microcalcification detection performance in digital breast tomosynthesis: Patients versus 3D textured phantoms

open access: yesMedical Physics, EarlyView.
Abstract Background Clinical studies to evaluate the performance of new imaging devices require the collection of patient data. Virtual methods present a potential alternative in which patient‐simulating phantoms are used instead. Purpose This work uses a virtual imaging technique to examine the extent to which human observer microcalcification ...
Katrien Houbrechts   +8 more
wiley   +1 more source

Reliable ECG Anomaly Detection on Edge Devices for Internet of Medical Things Applications. [PDF]

open access: yesSensors (Basel)
Hizem M   +4 more
europepmc   +1 more source

Contactless cardiac gating at 0.55T using high‐amplitude pilot tone with interference cancellation (HAPTIC)

open access: yesMagnetic Resonance in Medicine, EarlyView.
Abstract Purpose To enable contactless cardiac gating at 0.55T using pilot tone (PT). Current PT methods are unable to extract weak motions, including cardiac motion, at lower B0 field strengths (<1.5T). Methods We utilize high‐amplitude pilot tone with interference cancellation, termed HAPTIC.
Bilal Tasdelen   +4 more
wiley   +1 more source

An empirical study of LLaMA3 quantization: from LLMs to MLLMs. [PDF]

open access: yesVis Intell
Huang W   +9 more
europepmc   +1 more source

Saturation transfer MR fingerprinting for magnetization transfer contrast and chemical exchange saturation transfer quantification

open access: yesMagnetic Resonance in Medicine, EarlyView.
Abstract Purpose The aim of this study was to develop a saturation transfer MR fingerprinting (ST‐MRF) technique using a biophysics model‐driven deep learning approach. Methods A deep learning–based quantitative saturation transfer framework was proposed to estimate water, magnetization transfer contrast, and amide proton transfer (APT) parameters plus
Munendra Singh   +5 more
wiley   +1 more source

Explainable Artificial Intelligence (XAI) for Material Design and Engineering Applications: A Quantitative Computational Framework

open access: yesInternational Journal of Mechanical System Dynamics, EarlyView.
ABSTRACT The advancement of artificial intelligence (AI) in material design and engineering has led to significant improvements in predictive modeling of material properties. However, the lack of interpretability in machine learning (ML)‐based material informatics presents a major barrier to its practical adoption.
Bokai Liu   +3 more
wiley   +1 more source

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