IEEE transactions on pattern analysis and machine intelligence
May 6, 2026
Enhancing images to make them visually appealing is a persistent challenge in computer vision. Many deep-learning methods train models on paired datasets to replicate expert editing styles. However, these approaches struggle with two key issues: (1) ... read more
IEEE transactions on pattern analysis and machine intelligence
May 6, 2026
Time series, characterized by a sequence of data points organized in a discrete-time order, are ubiquitous in real-world scenarios. Unlike other data modalities, time series present unique challenges in learning and modeling due to their intricate an... read more
Universal medical image registration through a single model handling various registration tasks has attracted increasing interest. However, existing deep learning-based methods face two major challenges in adapting to universal registration tasks: 1)... read more
IEEE journal of biomedical and health informatics
May 6, 2026
Gram-negative bacterial secreted effectors are translocated through specialized secretion systems to manipulate host cellular processes, and their accurate identification is crucial for understanding bacterial pathogenesis. Recent deep learning metho... read more
IEEE transactions on bio-medical engineering
May 6, 2026
OBJECTIVE: To enhance the diagnostic utility of 4D flow MRI in assessing cerebrospinal fluid (CSF) dynamics by super-resolving and denoising measured velocities using temporally coherent, physics-guided neural networks (PGNN). METHODS: Synthetic 4D f... read more
BACKGROUND: Urinary tract infection (UTI) is a common emergency department (ED) presentation but can be challenging to diagnose; both overdiagnosis and underdiagnosis are common, and older adults may be at particular risk of misdiagnosis. Artificial ... read more
Medicine and science in sports and exercise
May 6, 2026
INTRODUCTION: Current cognitive tasks are not suitable for frequent monitoring of cognitive function in healthy adults. Increasing evidence suggests that cardiorespiratory fitness, cardiovascular function, and autonomic regulation are associated with... read more
BACKGROUND: Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality worldwide, with frequent exacerbations of COPD (ECOPD) significantly impacting patient health and health care systems. Predicting ECOPD early would... read more
For more than a century, scientists have worked to characterize, understand, and predict the consequences of mutations. For almost as long, scientists-always on the lookout for general principles-have categorized these mutations, hoping that putting ... read more
Hydrogen-deuterium exchange mass spectrometry (HDX-MS) is an established technique that measures the exchange rate of amide hydrogens, with this exchange rate being a surrogate for protein conformational dynamics. Advances in instrumentation, automat... read more
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