IEEE

Multimodal Contrastive Prototype Learning for Resilient Brain Tumor Segmentation With Missing Modalities

Abstract: Multimodal fusion is an effective solution for holistic brain tumor diagnosis; however, it faces challenges under missing modalities. Traditional multi-encoder architectures can easily ...
techtimes

Machine Learning Confirms Two New Superconductors, Unlocking Wider Search

An international research consortium announced on June 29 that it has experimentally confirmed two previously unknown superconductors — the first materials ever identified from scratch by a ...
Frontiers

Advanced AI for missing modality learning and uncertainty‑aware medical image analysis

Modern medical imaging increasingly relies on artificial intelligence to support detection, diagnosis, and prognostic ...
thetechedvocate.org

Do Learning Styles Really Exist? What the Research Says

For years, the concept of learning styles has been a hot topic in educational circles. Many educators, parents, and even students believe that identifying a person’s preferred way of learning can ...
IEEE

Mutual Information Guided Diffusion for Zero-Shot Cross-Modality Medical Image Translation

Abstract: Cross-modality data translation has attracted great interest in medical image computing. Deep generative models show performance improvement in addressing related challenges. Nevertheless, ...