In recent years,Diffusion models have achieved remarkable progress in the
field of image generation.However,recent studies have shown that diffusion
models are susceptible to backdoor attacks,in which attackers can manipulate
the output by injectin... read more
The vast field of cosmetics is mainly explored through experimental methods, while computational tools find broader application in structuralbiology. The world of formulations remains relatively untouched or nondisclosed due to commercial interests. ... read more
X-ray medical report generation is one of the important applications of
artificial intelligence in healthcare. With the support of large foundation
models, the quality of medical report generation has significantly improved.
However, challenges suc... read more
PURPOSE: To propose and evaluate an accelerated quantification method that combines -weighted fast spin echo (FSE) images and proton density (PD)-weighted anatomical FSE images, leveraging deep learning models for mapping. The goal is to reduce sc... read more
Biomedical physics & engineering express
Aug 5, 2025
. Kidney stones, a prevalent urological condition, associated with acute pain requires prompt and precise diagnosis for optimal therapeutic intervention. While computed tomography (CT) imaging remains the definitive diagnostic modality, manual interp... read more
Effectively adapting powerful pretrained foundation models to diverse tasks
remains a key challenge in AI deployment. Current approaches primarily follow
two paradigms:discrete optimization of text prompts through prompt engineering,
or continuous ... read more
The exponential growth in Unmanned Aerial Vehicles (UAVs) usage underscores
the critical need of detecting them at extended distances to ensure safe
operations, especially in densely populated areas. Despite the tremendous
advances made in computer... read more
UNLABELLED: The phenomenon of antimicrobial resistance (AMR) often results in treatment failure and restrictions on precision medicine, emphasizing the need for molecular diagnosis of drug resistance. The current use of machine learning (ML) techniqu... read more
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