The remarkable performance of the Transformer architecture in natural language processing
has recently also triggered broad interest in Computer Vision. Among other merits …

Foundation models, large-scale, pre-trained deep-learning models adapted to a wide range
of downstream tasks have gained significant interest lately in various deep-learning …

Implicit neural representations (INRs) have emerged as a powerful paradigm in scene
reconstruction and computer graphics, showcasing remarkable results. By utilizing neural …

Recent advances in generative AI have brought incredible breakthroughs in several areas,
including medical imaging. These generative models have tremendous potential not only to …

Mobile artificial intelligence-generated content (AIGC) refers to the adoption of generative
artificial intelligence (GAI) algorithms deployed at mobile edge networks to automate the …

The advent of foundation models (FMs) as an emerging suite of AI techniques has struck a
wave of opportunities in computational healthcare. The interactive nature of these models …

Skin lesion segmentation plays a critical role in the early detection and accurate diagnosis of
dermatological conditions. Denoising Diffusion Probabilistic Models (DDPMs) have recently …

The integration of artificial intelligence (AI) into medical imaging has guided in an era of
transformation in healthcare. This literature review explores the latest innovations and …

Score-based diffusion models, while achieving remarkable empirical performance, often
suffer from low sampling speed, due to extensive function evaluations needed during the …

Generative latent diffusion models have been established as state-of-the-art in data
generation. One promising application is generation of realistic synthetic medical imaging …