Results 121 to 130 of about 2,911,065 (235)
Health Care Science, EarlyView.Autism spectrum disorder (ASD) is a complex neurodevelopmental condition characterized by persistent difficulties in social communication, social interaction, and repetitive behaviors. Early diagnosis is often hindered by subjective clinical assessments and limited data availability.
Sahar Alkhaibari, Feng Dong
wiley +1 more source
Using GANs (Generative Adversarial Networks) to generate fake patients
, 2020 This master thesis is a continuation of the investigation line opened in with the Generative Adversarial Network based Machine for Fake Data Generation thesis.
Guarner Escribano, Álvaro
core +1 more source
Applications of generative adversarial networks in materials science
Materials Genome Engineering AdvancesGenerative adversarial networks (GANs), as a powerful tool for inverse materials discovery, are being increasingly applied in various fields of materials science.
Yuan Jiang +3 more
doaj +1 more source
GANs for Image Security Applications: A Literature Review
Iraqi Journal of Information & Communication TechnologyGenerative Adversarial Networks (GANs) have earned significant attention in various domains due to their generative model’s compelling ability to generate realistic examples probably drawn from sample distribution.
Mays Y. Mhawi +2 more
doaj +1 more source
From Physiology to Bioheat Simulation: A Data‐Driven Framework for Core Temperature Initialization
Heat Transfer, EarlyView.ABSTRACT Accurate initialization of core body temperature is a critical yet often overlooked component of bioheat transfer models, particularly when such models are applied to heterogeneous populations and real‐world environmental conditions. Conventional bioheat simulations typically rely on fixed or idealized core body temperature values derived from
David S. Rodríguez +6 more
wiley +1 more source
Ultrasound breast images denoising using generative adversarial networks (GANs)
[EN] Ultrasound in conjunction with mammography imaging, plays a vital role in the early detection and diagnosis of breast cancer. However, speckle noise affects medical ultrasound images and degrades visual radiological interpretation.
Jimenez-Gaona, Yuliana +5 more
core +1 more source
Mapping the Landscape of Over‐Scanning in CT Imaging: A Scoping Review
Journal of Medical Radiation Sciences, EarlyView.Over‐scanning in CT is highly prevalent and contributes to unnecessary radiation exposure, with notable impact on radiosensitive organs. Standardised protocols and AI‐assisted planning show strong potential to optimise scan range and reduce excess dose.
Mo'men Bani‐Ahmad +5 more
wiley +1 more source
Raman Spectroscopy and Generative Variational Autoencoders for Metallurgical Coke Quality Prediction
Journal of Raman Spectroscopy, EarlyView.An integrated soft sensor framework combining standardized Raman spectroscopy, synergy‐vector feature selection, variational autoencoder‐based data augmentation, and regression models (kNN, PLS, and SVR) predicts metallurgical coke quality (CSR and DI).
Pedro Henrique Agrimpio Coutinho +2 more
wiley +1 more source
Artificial Intelligence in Dermatology: Current Applications and Future Directions
JEADV Clinical Practice, EarlyView.This scoping review of 56 studies maps AI applications in dermatology. Image‐based classification for skin cancer detection dominates (48%), followed by clinical decision support (21%), teledermatology triage (11%), and predictive analytics (11%). While deep learning algorithms demonstrate diagnostic performance comparable to clinicians in controlled ...
Sofía Pérez‐Lalinde +1 more
wiley +1 more source
Generative Adversarial Networks and Other Generative Models
139192Generative networks are fundamentally different in their aim and methods compared to CNNs for classification, segmentation, or object detection. They have initially been meant not to be an image analysis tool but to produce naturally looking images.
Wenzel, Markus T.
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