BACKGROUND: Health disparities such as morbidity and mortality among childbearing women remain high in the United States, especially among those with risks associated with criminal legal system involvement. These underserved women are often managed t... read more
BACKGROUND: Machine learning (ML) can be used to predict clinical outcomes. Training predictive models typically requires data for hundreds or thousands of patients. Lowering this requirement to a few tens of patients would enable new applications in... read more
IEEE transactions on visualization and computer graphics
Apr 1, 2026
Projector photometric compensation corrects color distortions introduced by surface texture, reflection, and ambient lighting. Existing deep learning-based methods usually require professional scene-specific data collection and lack consideration for... read more
IEEE transactions on visualization and computer graphics
Apr 1, 2026
Music in virtual environments has long been treated as a temporal evolving element, enhancing atmosphere and game pace but rarely considered as a performance adaptive element. Recent advances in artificial intelligence (AI) and procedural audio make ... read more
IEEE reviews in biomedical engineering
Apr 1, 2026
Ultrasound can penetrate centimetres of soft tissue, focus energy with millimetre precision, and operate safely under real-time image guidance. Leveraging these advantages, sonogenetics combines therapeutic ultrasound with genetic, cellular, and mole... read more
IEEE transactions on bio-medical engineering
Apr 1, 2026
Sleep spindles and K-complexes in electroencephalo gram (EEG) signals are brief yet physiologically essential signatures of the sleeping brain, supporting memory consolidation, arousal regulation, and neurological assessment. However, existing detect... read more
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Apr 1, 2026
Action recognition has long been a fundamental and compelling problem in the field of computer vision. However, one aspect that has been overlooked so far is that current action recognition approaches often produce an unfavourable multi-peaked distri... read more
IEEE transactions on neural networks and learning systems
Apr 1, 2026
Hybrid Vision Transformers (HybridViTs), which integrate convolutional neural networks (CNNs) with Transformer blocks, offer both local and global feature extraction capabilities, achieving high performance across a range of computer vision tasks. Ho... read more
Computer methods in biomechanics and biomedical engineering
Apr 1, 2026
This paper uses national language processing techniques to perform sentiment analysis, classifying user-written drug reviews for pain, depression, and birth control. Six machine learning (ML)-based models are employed for analysis, including neural n... read more
BACKGROUND: In the field of patient monitoring, there often remains a gap between clinical needs and the monitoring technologies available from industry. To conquer this, the Patient Monitoring Roundtable (PMRT) live event series offers a sustainable... read more
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