Medical artificial intelligence (AI) faces a fundamental challenge: uncertainty quantification. Artificial neural networks ...
Both models trade word-by-word generation for parallel denoising. Only one of them does it without losing intelligence in the ...
Rudolf Virchow fundamentally changed medicine when he formulated his cell theory of disease in the 19th century: Diseases do ...
Clarkson University researchers have developed a new mathematical tool that could make artificial intelligence systems more ...
AI medical imaging market is projected to exceed $20B by 2035. Generative models address class imbalances in medical imaging ...
Two related, Oracle-backed projects published opposing policies on open-source contributions created with generative AI: the ...
Subcortical ischemic vascular disease (SIVD), driven by cerebral small vessel disease, is commonly characterized by white matter hyperintensities and multiple lacunar infarcts, and a substantial ...
Semi-supervised learning (SSL) has emerged as a promising paradigm for medical image classification, addressing the critical challenge of limited labeled data in healthcare where expert annotation is ...
Deep learning techniques have been successfully applied to object classification in Synthetic Aperture Radar (SAR) images, achieving remarkable performance. However, the current Transformer ...
FRAM [CVPR'26] is a diffusion-based facial makeup transfer model with regional controllability. It can perform global makeup transfer and region-specific makeup transfer. A data synthesis pipeline ...
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